United States
Environmental Protection
Agency
Office of Air Quality
Planning and Standards
Research Triangle Park NC 27711
EPA-450/5-83-006
November 1983
External Review Draft
Air
Review and
Evaluation of the
Evidence for
Cancer Associated
with Air Pollution
REVIEW
DRAFT
(Do Not
Cite or Quote)
NOTICE
This document is a preliminary draft. It has not been formally
released by EPA and should not at this stage be construed to
represent Agency policy. It is being circulated for comment on its
technical accuracy and policy implications.
-------
r.
REVIEW AND EVALUATION OF
THE EVIDENCE FOR CANCER
ASSOCIATED WITH AIR POLLUTION
Revised Report
Prepared for:
U.S. Environmental Protection Agency
Pollutant Assessment Branch
Office of Air Quality Planning and Standards
Under:
Contract No. 68-02-3396
Prepared by:
Clement Associates, Inc.
1515 Wilson Boulevard
Arlington, VA 22209
I.C.T. Nisbet, Ph.D.
M.A. Schneiderman, Ph.D.
N.J. Karch, Ph.D.
D.M. Siegel, Ph.D.
November 9, 1983
U S Environmental Prcteci'on Agency
: • ••:•> x;. Library
• •" L'--:,'..;;n Street
L'.-i:j -,,-j, iiunois 60604 .>>''""
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•"';.-.-. .. r
!-M U'jj j
DISCLAIMER
This document is a preliminary draft, submitted by a contractor to
the Office of Air Quality Planning and Standards, U.S. Environmental
Protection Agency, that is being circulated for technical review and
comment. The contents should not be construed to reflect the views or
policies of EPA.
U.S. Env1rcnrr.cr.ts! TV,;: irv. A.
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PREFACE
This report has been prepared for the Office of Air Quality Planning
and Standards (OAQPS), U.S. Environmental Protection Agency. An earlier
version of this report was prepared for OAQPS in 1981. The report dated
October 27, 1981 was revised to take account of criticisms and suggestions
generated during an extensive peer review, and to incorporate new material
published during 1981 and 1982. A draft version of this report was
submitted to OAQPS on December 15, 1982. The December 1982 draft has
been further revised to take account of comments generated during an
internal EPA review, but no new material has been added. This revised
report is intended to be a comprehensive review of scientific data
published through November 1982. The Agency invites all readers of this
report to send any comments to Dr. Nancy B. Pate, Project Officer,
Pollutant Assessment Branch, (MD-12), Strategies and Air Standards Division,
Environmental Protection Agency, Research Triangle Park, N. C. 27711.
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f T'-f
l\r i
TABLE OF CONTENTS
Page
EXECUTIVE SUMMARY
CHAPTER I. INTRODUCTION
A. Nature of Cancer 1-4
B. Interaction Between Risk Factors 1-5
C. Nature of Air Pollution 1-9
D. Scope and Purpose of This Report 1-11
CHAPTER II. EPIDEMIOLOGICAL EVIDENCE
A. Introduction II-l
B. Epidemiological Considerations II-2
1. Case Reports II-4
2. Descriptive Studies II-4
3. Cohort Studies II-6
4. Case Control Studies II-7
5. Issues Arising in Studies of Cancer II-9
and Air Pollution
C. Source-Specific Studies 11-25
1. Arsenic 11-27
2. Asbestos 11-36
3. Vinyl Chloride 11-40
4. Petrochemical and Other Chemical Emissions 11-42
5. Steel Manufacturing 11-45
D. Migrant Studies 11-46
E. Urban-Rural and Other Geographical Studies 11-49
1. Introduction 11-49
2. Air Pollution as Factor in Geographical 11-54
Variation in Cancer Rates
F. Summary 11-91
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K"u
TABLE OF CONTENTS
Paqe
CHAPTER III. EXPERIMENTAL EVIDENCE AND MONITORING DATA
A. Introduction III-l
B. Experimental Evidence IIE-4
1. In Vivo Tests of Extracts of Air Pollution III-5
for Carcinogenicity
2. In Vivo Studies of Irritant Effects 111-12
of Particulates
3. In Vivo Mutagenicity and Genotoxicity Testing 111-16
4. In Vitro Tests of Extracts of Air Pollution 111-20
C. Monitoring Data 111-30
D. Multimedia Exposure 111-33
E. Summary 111-35
CHAPTER IV. QUANTITATIVE ESTIMATES
A. Introduction IV-l
B. General Estimates IV-2
C. Estimates Based on Analysis of Epidemiological Data IV-3
D. Summary IV-19
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APPENDICES
A. Table II-l: Urban-Rural and Other Geographical
Studies of Cancer
B. Table III-l: Concentrations of Carcinogenic
Substances in the Air
C. Calculation of the Risk of Lung Cancer to the
General Population as a Proportion of the Risk
to Males
E. Derivation of an Estimate of the Proportion of
Lung Cancer Associated with the Urban Environment
F. Time Trends in Lung Cancer Rates
G. Critique of Two Recent Reviews
H. Data on Smoking Habits in Northern England
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DRAFT
LIST OF TABLES
Table 1-1: Lung Cancer Death Rate by Smoking History
Table 1-2: Estimates of Percentage Reduction in Lung
Cancer Mortality in Asbestos Workers by
Elimination of Exposure to Cigarettes and
to Asbestos
Table II-l: Urban/Rural and Other Geographic
Studies of Cancer
Table II-2: Urban/Rural County Ratios of U.S. Age-
Adjusted Cancer Mortality Rates, White
Population, 1950-1969
Table II-3: The Urban Factor in Distribution of Lung
Cancer Mortality in the United States
Table II-4: Age-Adjusted Lung Cancer Rates of
Individuals Who Had Never Smoked by Location
of Lifetime Residence
Table II-5: Urban/Rural Differences in Lung Cancer
Mortality Rates in Nonsmokers
Table II-6 Estimates of the Percentage of Current,
Regular Cigarette Smokers, Adults Aged
20 Years and Over, According to Family
Income, Selected Occupation Groups, and
Marital Stutus, United States, 1976
Estimated Relative Risks of Lung Cancer
Mortality Expected from Differences in the
Prevalence of Smoking in 1955 Between Urban
and Rural Populations
Cumulative Percentage of Persons Becoming
Regular Cigarette Smokers Prior to Age
Specified, By Sex and Age, for Urban,
Rural Nonfarm, and Rural Farm Population
Differences in Smoking Habits Between
White Male Residents of Two Areas of
Allegheny County, Pennsylvania
Table III-l: Concentrations of Carcinogenic Substances
in the Air
Table III-2: Estimated Human Exposure to PAH from
Various Ambient Sources
Table IV-1: Estimates of Lung Cancer Deaths Associated
with Various BaP Levels
Page
1-7
1-7
Appendix A
11-49
11-51
11-57
11-58
11-62
Table II-7:
11-64
Table II-8:
11-67
Table II-9:
11-68
Appendix B
111-35
IV-8
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DRAFF
EXECUTIVE SUMMARY
This report is a comprehensive summary and compilation
of scientific evidence related to the hypothesis that cancer
rates in human populations are associated with their exposure
to pollutants present in the ambient air. Critical comments
on the strengths and weaknesses of the studies are presented,
and general methodological problems in the conduct and inter-
pretation of the studies are discussed. However, no overall
judgments about the weight of the entire body of scientific
evidence are proffered.
Section I of this report is an introduction, which defines
its purpose and scope. Scientific evidence on the association
between air pollution and cancer is of three main types: epidemi-
ological studies of factors associated with patterns and trends
in cancer rates; experimental studies of the carcinogenicity
and mutagenicity of substances and mixtures emitted into or
extracted from the ambient air; and monitoring studies of the
presence in the air of substances known to be carcinogenic.
The existence and strength of the hypothesized association
between air pollution and cancer have been subject to extensive
scientific debate. One general problem is that a relatively
small effect of air pollution is difficult to establish conclu-
sively in the presence of larger (and variable) effects of
cigarette smoking and other factors (e.g., diet and alcohol).
Another is that most cancers have multiple causes, and there
-------
are conceptual and methodological difficulties in attributing
cancers to more than one causative agent in the presence of
interactions. A third problem is that air pollution is complex
and variable in constitution, and is difficult to characterize
adequately from existing types of monitoring datai.
Chapter II summarizes epidemiological studies of cancers
in the human population and their relation to air pollution
and other factors. Section II.B introduces the four principal
types of epidemiological study and discusses issues that arise
in applying them to the cancer/air pollution problem. Although
there is evidence that air pollutants may affect cancers at
a number of anatomic sites, only lung cancers have been studied
in sufficient detail for critical analysis. Air pollution is
a complex mixture of agents, and most available measurements
are of conventional pollutants which are unlikely to be carcino-
genic in themselves; furthermore, the use of a single component,
such as benzo]a[pyrene, as a surrogate measure of the carcino-
genic potential of polluted air may not be entirely satisfactory.
Significant exposure to some air pollutants occurs in indoor
environments, where monitoring data are scanty. The long latent
periods for human cancers mean that current cancers should be
associated with exposures in past decades, when some pollutants
were present at higher levels and others at lower levels. The
most pervasive difficulty encountered in the conduct and inter-
pretation of epidemiological studies is the control of confound-
ing factors, especially cigarette smoking. Other problems that
i1
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DRAFT
arise include the interpretation of sex and racial differences
in patterns of cancer mortality, the insensitivity of many
studies, and the selection of appropriate comparison populations.
Section II.C summarizes source-specific or "neighborhood"
studies. A number of studies have reported apparent elevations
in cancer rates in the vicinity of industrial facilities of
various types. Some of these studies were of the large-scale
"ecologic" type, whose results are usually regarded as no more
than suggestive. Most other studies in this category had sub-
stantial limitations, including problems in identifying appropriate
control populations, in controlling for smoking, occupation,
and demographic factors, and in verifying exposure. The more
persuasive evidence of this kind is the finding of rare types
of cancer characteristic of exposure to vinyl chloride and
asbestos near putative sources of these materials, and the
statistical association in several studies between lung cancer
rates and proximity to smelters and other facilities handling
arsenic compounds.
Section II.D summarizes several studies that suggest that
migrants from one country to another with higher (or lower)
air pollution levels continue to experience cancer rates charac-
teristic of their native countries. However, the rigor of
the statistical comparisons of cancer rates is questionable,
and the differences were not related to specific data on exposure
to air pollution.
111
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Section II.E summarizes urban-rural and other geographical
studies. Table II-l (Appendix A) tabulates 44 epidemiological
studies of cancers of the lung and other sites in human popu-
lations. In 25 of these studies, a statistical association was
reported between cancer rates and one or more (direct or indirect)
measures of air pollution, and most of the rest reported excess
frequencies of cancer in urban areas relative to rural areas.
Only five studies reported finding no association between cancer
rates and either urban location or measures of air pollution.
However, all the studies were subject to various limitations,
which complicate their interpretation.
The most pervasive and difficult problem in these studies
is control for the confounding effects of cigarette smoking.
Ten studies of lung cancer rates in nonsmokers have shown rather
consistent urban-rural differentials in males, but not in females.
However, all but one of these studies were limited by small
sample size, and none was controlled for occupational exposures.
In a number of studies, urban/rural differentials, and statistical
associations between cancer rates and air pollution remained
significant after attempts were made to control for the effects
of smoking, using data on smoking habits in cancer victims
or population groups. However, the completeness of the control
for smoking in these studies is disputed. Some scientists
have argued that differences in aspects of smoking such as
age at starting to smoke and depth of inhalation cannot be
controlled for. However, actual data on these aspects of smoking
IV
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do not confirm that they would contribute significantly to
urban/rural differentials.
Only a few studies have been controlled for the effects
of occupational exposures. One study that was so controlled
revealed significant urban/rural differentials in both occupation-
ally exposed and unexposed groups, after controlling for smoking.
Other studies have suggested interactions between effects of
occupation and air pollution.
Chapter III compiles and summarizes experimental evidence
and monitoring data. A substantial number of studies has shown
that extracts of airborne materials from polluted air and mate-
rials emitted from motor vehicle engines and stationary sources
are frequently carcinogenic and mutagenic when tested in experi-
mental bioassay systems. Results of in vivo tests have included
the induction of skin cancers, lymphomas, fibrosarcomas, liver
tumors and lung tumors in mice, lung tumors in rats and hamsters,
and chromosome damage and sister chromatid exchange in hamsters.
Respiratory irritants present in polluted air may also enhance
the effects of other carcinogenic agents. Results of in vitro
tests have included the induction of point mutations in bacteria
and Drosophila melanogaster, malignant transformation of mam-
malian cells in culture, and sister chromatid exchange and
DNA fractionation in cultured mammalian cells, including human
cells. Positive results in these in vitro tests are generally
correlated with the potential for carcinogenicity.
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1RAFT
Table III-l (in Appendix B) lists more than 50 chemicals
that have been detected in ambient air and that are known or
suspected to be carcinogenic in humans or in experimental ani-
mals. Where comparative data are available, concentrations
of these chemicals tend to be higher in urban areas than in
rural areas, and higher still in industrial emissions. There
is evidence of significant multimedia exposure to several pol-
lutants after their release into ambient air.
Chapter IV summarizes attempts to estimate the possible
magnitude of the association between lung cancer rates and air
pollution levels. For this purpose, the index of air pollution
most commonly used is the average atmospheric concentration
of benzo(a)pyrene (BaP). Use of this index, however, causes
difficulties because average levels of BaP in the United States
have declined considerably since 1958 and probably were higher
still prior to 1958. However, it is not clear that overall
hazards posed by air pollution would have declined, since levels
of other potential carcinogens have probably increased since
1940. BaP is thus not a stable index of the carcinogenicity
of polluted air, and estimates made at one time period cannot
be applied directly to others; for example, estimates based
on study of lung cancers in the past cannot be used directly
to predict future effects of current pollution.
Recognizing this problem, Taole IV-1 tabulates 12 esti-
mates of the quantitative relationship between lung cancer
rates and air pollution levels as indexed by BaP concentrations.
VI
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Wj£-..
\r\]
Estimated slopes (regression coefficients) of this relation-
ship range from 0.1-5.0 x 10 lung cancer deaths/year per
ng/m BaP. Some of these figures should probably be adjusted
downwards by factors of 2 to 4 to take account of the likely
reduction in BaP levels since the 1930s and 1940s when most
effective exposures took place. The estimates derived from
studies in the general population (0.8-5.0 x 10~5) are signifi-
cantly higher than those derived from studies of workers exposed
to products of incomplete combustion (0.11-0.8 x 10~5). This
difference suggests that incomplete combustion products are
associated with only part of the excess lung cancer rates ob-
served in urban areas. Most of the studies were based on lung
cancer mortality data from the 1960s, and the results are con-
sistent with the hypothesis that at that time factors responsible
for the urban excess in lung cancer were associated with about
11% of lung cancers in the United States. In the one study
in which both cigarette smoking and potential industrial exposure
could be accounted for, this estimate was about 17%. These
quantitative estimates can be derived without resolution of
the issue whether the unexplained urban excess of lung cancer
can or cannot be attributed confidently to air pollution, which
depends on interpretation of data summarized in Chapter II.
Several Appendices to this report deal with technical
issues or tabulate information used in the text. Appendix E
presents a calculation of the relationship between lung cancer
rates and location of residence, after controlling for age,
Vll
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DRAFT
smoking, and occupational exposure. Appendix F discusses time
trends in lung cancer incidence and mortality, including results
from three recent cohort analyses which support the hypothesis
that changes in smoking habits cannot account for all features
or trends in the U.S. and the U.K. Appendix G presents a critique
of two recent reviews of the subject that concluded that the
association between air pollution and cancer rates was incon-
clusive or weak.
VII 1
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I. INTRODUCTION
The air contains a wide variety of hazardous substances,
exposure to which may be associated with a broad range of adverse
human health effects. Relatively high-level short-term exposures
to some types of air pollution may result in acute sickness,
alteration of important physiological functions, or impairment
of performance. Prolonged exposure to lower levels may result
in cancer or other chronic diseases, shortening of life, or
impairment of growth or development.
During the past several years, the relationship between
air pollution and cancer has received considerable attention.
We have come to recognize a number of air pollutants as known
or suspected carcinogens. Some of these are widespread and
derive from a variety of sources (e.g., formaldehyde, benzene,
asbestos, and certain polycyclic aromatic hydrocarbons), while
others are limited to a few types of sources (e.g., certain
chlorinated solvents or arsenic and other smelter emissions).
The evidence for cancer risks associated with air pollution
or specific pollutants in air is of three main types:
• Data from epidemiological studies, which include descrip-
tive studies of trends in cancer by time, place, or
affected group (e.g., sex, age, race); ecologic studies,
which relate group differences in exposure to group
differences in the frequency of cancers; and case-control
or cohort studies, depending on whether the initial
basis for study is a group of people with cancer (cases)
or a group exposed to air pollution or another risk
factor (cohort)
1-1
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HRAFT
• Data from laboratory studies, which include a range
of in vitro studies (e.g., studies of the mutagenicity
in cell cultures of substances identified in ambient
air), and long-term carcinogenesis bioassays in animals
of specific pollutants, complex mixtures of pollutants,
or concentrates of air samples
• Data from monitoring studies, which involve measurements
of individual pollutants in air and which are designed
to demonstrate the presence of specific substances
or mixtures, many of which may have been found to be
cancer-causing in epidemiological or laboratory studies.
Some have interpreted this evidence as showing that cancer
risks are associated with air pollution, while others have argued
that the evidence does not support such an association. Although
several surveys of the problem have appeared in recent years,
(see Appendix E), no comprehensive review of the scientific
evidence has yet been published. This report is intended to
provide a compilation and evaluation of this evidence. Although
we do not proffer an overall judgment as to the weight of evidence
that air pollution (or specific pollutants) is associated with
increased cancer risk, we point out the strengths, weaknesses,
and biases of individual studies, and discuss a number of general
problems in conducting and interpeting studies of this problem.
At the request of EPA, this review covers all potential airborne
contaminants except radioactive substances.
Much of the debate on this question has focused on urban-
rural differences in cancer incidence or mortality, i.e., the
observation of excess mortality from cancer at certain anatomic
sites in urban compared to rural counties in the United States.
Elevated cancer risks in urban areas, whether attributable
to air pollution, cigarette smoking, occupational exposure,
1-2
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DRAFT
or other factors, are cause for concern among public health
officials because over three-fourths of the population of the
United States now lives in areas defined by the U.S. Census
Bureau as urban. Furthermore, rural air in certain parts of
the country may also contain carcinogenic pollutants, in which
case urban risks calculated from urban-rural differences would
tend to underestimate the role of air pollution, if carcinogenic
air pollutants are in fact a cause of these differences.
In the debate on the relationship between air pollution
and cancer in the United States, urban-rural differences have
been interpreted by a number of scientists as evidence for
an association. This has been supported by monitoring data
that demonstrate the presence in air of substances previously
shown in epidemiological studies (usually of workplace risks)
or animal studies to be carcinogenic. Also, when controlled
for other risk factors, urban-rural differences have been used
to compute estimates of the magnitude of the risks posed by
urban air pollution.
Other scientists have argued against the conclusion that
an association exists because: (1) the evidence for increased
cancer risks from urban air pollution is not consistent, in
that some investigators have failed to final a correlation
between lung cancer and measured levels of pollution; (2) urban
lung cancer rates have not declined although air pollution,
as measured by the level of benzo(a)pyrene (BaP), has declined;
and (3) urban-rural differences have in some studies been observed
1-3
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DRAFT
only for men. These scientists have cited differing patterns
of cigarette smoking, workers' industrial exposure, or both
as alternative explanations for the urban-rural differences.
Several scientists have argued that, in the presence of large
and variable effects of cigarette smoking, it is impractical
or impossible to detect smaller effects of air pollution, and
that existing studies that appear to indicate such effects
are inconclusive.
A. Nature of Cancer
Most experts now recognize cancer as a multicausal, multi-
stage set of diseases (OSHA 1980). Cancer is a complex group
of diseases that characteristically progress through a number
of stages, each of which may be initiated or accelerated by
a number of different intrinsic and extrinsic risk factors.
Each factor may act at one or more stages, and different factors
may interact in an additive or a synergistic (multiplicative)
way. Furthermore, because of the frequently long latency period
between initial exposure and manifestation of cancer, typically
20-30 years or more for many carcinogens, numerous opportunities
exist for multiple exposures to potentially carcinogenic agents.
It follows from the complexity of cancer causation and develop-
ment that most cancers would have multiple "causes," and it
would be simplistic to assign to any cancer or type of cancer
a single causative agent.
The multistage, multicausal nature of cancer greatly compli-
cates the task of identifying whether complex mixtures of sub-
1-4
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stances, such as air pollution, cigarette smoke, and certain
workplace exposures are associated with increased cancer risks.
It offers, however, various opportunities for prevention, par-
ticularly when there is an interaction between risk factors.
B. Interaction Between Risk Factors
It is reasonable to expect that there will be interactions
among cigarette smoking, air pollution, and other complex risk
factors. First, many of the substances identified as carcinogens
in cigarette smoke are also found often as pollutants in air
or as constituents of emissions in the workplace. Second,
synergistic interactions lead to a combined risk that is greater
than the sum of the risks from each, in which case reduction
in exposure to either factor is likely to be accompanied by a
greater than proportionate reduction in risks. When two factors
interact synergistically, each factor is not a confounding
factor of the other, but an effect modifier (Rothman 1975).
Synergism in the induction of lung cancer is known to occur
in humans with a number of agents, e.g., between cigarette
smoke and asbestos, and between cigarette smoke and radionuclides
(Selikoff and Hammond 1975). In view of this, it is simplistic
to attribute all lung cancers in which smoking is involved
to cigarette smoking only.
Walker (1981) recently proposed a method for estimating
the proportion of disease attributable to the combined effect
of two factors. This method first identifies the etiologic
fraction of disease due to the simultaneous action of both
1-5
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factors among exposed persons. This fraction is an estimate
of the extent to which disease may depend on exposure to both
factors together. An interaction index is then calculated,
which is the proportion of disease attributable specifically
to the interaction between two factors rather than to the disease
expected from each acting alone.
As an illustration, if Walker's method is applied to the
smoking, asbestos, and lung cancer data of Enterline (1979b)
(see Table 1-1), the etiologic fraction is 97%, i.e., the propor-
tion of lung cancer among smoking asbestos workers attributable
to smoking, asbestos, and their interaction, is 97%. (The
remaining 3% is attributable to other, unidentified, factors.)
Of the 97% attributable to smoking and asbestos, the proportion
due specifically to interaction is 73%; the remaining 27% is
expected from the effect of smoking and asbestos acting alone.
Another way of looking at interactions is to determine
the proportion of cancers that could be prevented by eliminating
either factor. This method attributes the interaction between
factors to the factor being eliminated. This is illustrated in
Table 1-2 (OTA 1981), based on the data of Lloyd (1979), which
are similar to those of Enterline (1979b).
The potential for interaction among cigarette smoking,,
air pollution, and other factors such as occupational expossure,
requires careful evaluation. In such complex circumstances,
attributing all possible disease to cigarette smoking whenever
1-6
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TABLE 1-1
LUNG CANCER DEATH RATE BY SMOKING HISTORY
(Rates per 100,000 per Year)3
Cigarette
Smoking
Yes
No
Asbestos
Insulators
362.0
40.4
U.S.
Males
74.4
9.2
Relative
Risk
4.9
4.4
alf the combined effect of smoking and asbestos
changes with age, the age distribution in the popu-
lation to which these data are standardized will
affect the calculations of the etiologic fraction
and the interaction index.
SOURCE: Table 2 in Enterline 1979b
TABLE 1-2
ESTIMATES OF PERCENTAGE REDUCTION IN LUNG CANCER
MORTALITY IN ASBESTOS WORKERS BY ELIMINATION
OF EXPOSURE TO CIGARETTES AND TO ASBESTOS
Percentage
Reduction
from Current
Status Rate
Current 0.0
Eliminate smoking only 88.5
Eliminate asbestos only 79.6
Eliminate smoking and asbestos 97.8
SOURCE: OTA (1981), Table 11, p. 68
1-7
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DRAFT
cigarette smoking is a factor may lead to overe'Stimation o£
the role of smoking and an underestimation of the importance
of the other factors present. The implication for cancer pre-
vention is that interference with any (or all) identified risk
factors is likely to reduce disease incidence.
Synergistic effects between various substances, such as
BaP and N-nitroso compounds, both of which are often present
in ambient air, have also been demonstrated in animal experi-
ments. In one such experiment, Montesano et al. (1974) instilled
intratracheally into hamsters BaP adsorbed on ferric oxide
particles. This was followed by repeated injections of diethyl-
nitrosamine. BaP or diethylnitrosarnine alone produced few
malignant tumors, but the two in combination produced a 35% inci-
dence of. tumors, which appeared within a shortened latency
period. In a similar experiment, Kaufman and Madison (1974)
found that either N-nitroso-N-methylurea or BaP plus ferric
oxide induced tumors with a latency of about 50 weeks after
intratracheal instillation. When both substances were admin-
istered together adsorbed on ferric oxide, they caused a higher
tumor incidence with a latency of 20-35 weeks. In another
study, McGandy et al. (1974) examined the interaction of BaP
adsorbed on ferric oxide, and polonium-210, a carcinogenic
radioisotope. These substances were administered intratracheally
in hamsters either simultaneously or sequentially. In both
cases, the number of lung tumors observed was more than twice
the number expected from the effects of each substance acting
alone.
1-8
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DRAFT
C. Nature of Air Pollution
Polluted air is a complex and highly variable mixture
of substances. In many studies reviewed in this report, the
term air pollution is considered synonymous with the air in
areas with concentrations of heavy industry. Yet, since the
days of the dial-painters, carcinogenic hazards have been known
to exist in a number of light and service industries; because
substantial strides have been made in the last two decades
in reducing emissions from a variety of types of heavy industry,
some of the most hazardous emissions may be from small, older
operations that are not classified as heavy industry.
Data have been collected on a number of common, widespread
pollutants, but the measurement of many pollutants is difficult
and expensive. In many areas, only a fraction of the pollutant
mixtures may be measured or even known. What is measured may
not easily be generalized to other areas. Also, data that
have been collected rarely cover the extended periods of time
necessary for cancer to develop. Current levels of pollutants,
often used as an indicator of past exposures, may not be represen-
tative of past exposures.
Even when the definition of air pollution is tied more
closely to measured levels of specific pollutants, the results
of a study can be substantially affected by the location, fre-
quency, and extent of measurements. Pollution levels tend
to drop off as distance from the source increases, and models
of dispersion and movement are sensitive to a number of assump-
1-9
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RAFT
tions about such factors as meteorological conditions and trans-
formations of pollutants. If peak levels of a pollutant induce
proportionately more damage than lower levels, the method of
averaging over time as well as over distance can be important.
Thus, because of the complexity of cancer induction and
the difficulty in knowing with any accuracy the exposure levels
of a pollutant, the task of assessing whether and under what
circumstances pollutants in ambient air may be associated with
increased cancer risk is a complicated one. Aii: pollutants
may act in several ways in the induction or promotion of cancer.
First, substances emitted into ambient air may act alone to
increase population cancer risks. This appears to be the case,
for example, with vinyl chloride. Exposure to this substance
in the workplace and perhaps in communities surrounding certain
industrial plants increases the risk of developing angiosarcoma
of the liver and possibly brain cancer. Second, ambient air
pollutants may interact synergistically with other factors.
The interactions between smoking and asbestos or radionuclides
are prime examples of this. Third, substances present in the
ambient air may also promote or otherwise enhance the carcino-
genic effects of particular agents. The phenomenon of promotion
or cocarcinogenesis among chemical agents has been studied
in experiments with animal tissues (Sivak 1979). These exper-
iments show that the effect of some carcinogens may be enhanced
by other substances often present in polluted air (i.e., fine
particulates and such respiratory irritants as sulfur dioxide).
1-10
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Chemical carcinogens present as pollutants in air at low concen-
trations might be expected to have only slight effect by themselves
but to have much greater effects when present in combination
with these promoters or cocarcinogens. (There is also the
possibility that substances in the air may act antagonistically,
reducing the effectiveness of chemical carcinogens. This might
be the case when carcinogenic pollutants are adsorbed to large,
nonrespirable particulates.)
D. Purpose and Scope of this Report
The purpose of this report is to review in a systematic
way the evidence for cancer risks associated with air pollution.
First, we review the epidemiological literature on cancer risks
associated with pollutants in ambient air, excluding radiation.
The evidence has been divided into four major categories: source-
specific studies, urban-rural comparisons, migrant studies,
and time trend analyses. In reviewing this evidence, special
emphasis has been placed on studies that were submitted to
the record during the recent rulemaking on EPA's proposed air-
borne carcinogen policy. Second, we review the experimental
and analytical data which indicate that ambient air may contain
a wide variety of carcinogenic or mutagenic substances. A third
section of this report reviews studies in which the possible
magnitude of the association between air pollution and cancer
rates has been estimated in quantitative terms. Summaries
at the end of each section give an overall characterization
of the extent of each type of scientific evidence and of the
1-11
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strengths and weaknesses of this evidence. However, no overall
judgments about the weight of the entire body of scientific
evidence are proffered.
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DRAFT
II. EPIDEMIOLOGICAL EVIDENCE
A. Introduction
This chapter reviews the epidemic-logical evidence for the
proposition that ambient air pollutants contribute (either alone
or in combination with other factors) to cancer rates observed
in human populations. For purposes of this review, the chapter
has been divided into four major sections (Sections B-E):
• Epidemiological considerations and issues
• Source-specific studies
• Migrant studies
• Urban-rural contrasts and other geographic studies,
including attempts to correct or control for the con-
tribution of other factors
Temporal trends in cancer rates are discussed in Appendix F,
with a review of attempts to interpret them in terms of temporal
changes in air pollution and in human exposure to other causative
factors.
In the first section of this chapter (Section B), four
major types of epidemiological studies that can be used to
investigate the association of air pollution with cancer fre-
quencies are described. The strengths and weaknesses of each
type of study are described, and some specific problems that
arise when they are applied to the air pollution/cancer problem
are discussed.
In the second section, source-specific studies, i.e.,
studies that examine the relationship between air pollution
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DRAF
from a particular industrial source and cancer rates in nearby
communities) are reviewed. These include studies on the risks
of cancer in communities surrounding several typ€;s of industrial
facilities, such as smelters, asbestos factories, vinyl chlocide
manufacturing plants, and petroleum refineries. The strengths
and weaknesses of each study are reviewed, including considera-
tion of inconsistent data.
In the third section, studies of migrants from areas of
high pollution to areas of low pollution (or vice versa) are
reviewed. In the fourth section, urban-rural and other geographic
comparisons are reviewed. In these studies cancer rates in
urban (and/or industrial) areas are compared with those in
rural (and/or nonindustrial) areas. The major problems with
these studies are problems of confounding, i.e., differences
in such factors as smoking and occupation that often exist
between urban and rural areas. In this section we review attempts
to isolate or control for the confounding factors and thuss
estimate the effects of air pollution, alone and in combination,
in accounting for the elevated rates of cancer in urban areas.
Recent trends in cancer mortality and incidence are reviewed
in Appendix F.
B. Epidemiological Considerations
Properly designed and controlled epidemiological studies
can provide direct evidence that human exposure to a particular
substance or pollutant is associated with a risk of disease.
Such studies, however, are unfortunately vulnerable to many
II-2
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biases, leading to a wide range of limitations and uncertainties,
Because of these limitations, the findings of a single study are
rarely accepted as conclusive. Epideroiologic findings carry
more weight when the results of- independent studies conducted
under different circumstances support each other. The results
of epidemiologic studies may draw strength from, or may be
challenged by, the results of other epidemiologic studies,
as well as other types of scientific evidence.
Epidemiologic studies have been classified into four main
types:
• Case reports
• Ecological or "descriptive" studies
• Cohort studies
• Case-control studies
The latter two types of study, which are also called "analytic"
studies, carry more weight than the first two types because
they are better controlled and usually reflect the consequences
of exposure to specific individuals. Ecological and descriptive
studies usually generate evidence of the circumstantial type
and help to generate hypotheses about associations. Where
the circumstantial evidence is very strong, they and certain
case reports can lead to relatively firm conclusions. However,
in most cases it is necessary to test the hypotheses generated
by these studies, using the more rigorous methodology of cohort
or case-control studies.
II-3
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CT
r I
tl I
1. Case Reports
Case reports take the form of reporting illness or death
in one or several individuals—with the illness putatively
associated with an exposure of an unusual type or a set of
common exposures. Case reports often serve as the starting
point in implicating specific exposures as possible causative
factors. The hypotheses generated from these reports generally
need to be tested systematically in controlled studies before
they are regarded as conclusive. In some instances, when the
effect is both pronounced and specific, such observations may
provide strong evidence for an association between a substance
and the outcome observed.
2. Descriptive Studies
Descriptive ("ecological") studies relate group differences
in exposure to group differences in the frequency of disease.
The groups typically comprise residents of geographical areas
such as districts, cities, or counties. Data on geographical
differences in cancer frequencies among these groups are related
statistically to data on differences in exposure to chemicals
or other possible causative factors. Other descriptive studies
report trends in disease over time or by demographic character-
istics (sex, race, income, etc.) and attempt to associate these
with specific trends or differences in exposure. These studies
generally use data that are readily available and thus may
serve for preliminary examination of an hypothesis or to generate
other hypotheses. Such studies often provide a basis for decisions
II-4
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"VO 'i T"-r
on whether to initiate more intensive studies, and, more rarely,
a basis for definitive conclusions about associations.
Ecologic and other descriptive studies are sensitive to
misclassifications and the inappropriate handling of confounding
factors. If sufficiently important, these may lead to under-
estimates, overestimates, or even reversals in the direction
of a relationship between exposure and outcome at the individual
level (Robinson 1950, Greenberg 1979). Results of these studies,
therefore, are usually considered tentative until confirmed
by other evidence. In evaluating the descriptive and ecologic
studies bearing on the relationship between air pollution and
cancer, the degree and manner in which potential confounding
factors, such as age, sex, race, cigarette smoking and occupation,
are taken into account influences the outcome.
Statistical sensitivity (the probability of detecting
a true association when it exists) is an important concern
in epidemiologic studies. Ecological studies usually are insen-
sitive—or have a high noise-to-signal ratio. For example,
sensitivity may be lost by considering all residents in a certain
geographic area as "exposed." All residents are rarely equally
exposed. If only a proportion of residents is actually exposed
and at risk, the risk estimated in such a study will be diluted
and may not even be detectable. Migration between geographic
areas can also reduce sensitivity. As people migrate between
areas, the distinction between exposed and unexposed is gradually
lost. As a result, the ability of geographic studies to reveal
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DRAFT
an effect is likely to be reduced substantially if migration
is not taken into account. The longer the cancer latency period,
the larger this dilution effect is likely to be. It has been
estimated that when migration has taken place over a 30-year
period (roughly the latent period of the disease of concern),
40-50% of the actual excess risk will not be detected (Polifssar
1980).
3. Cohort Studies
Cohort studies (and the case-control studies discussed
below) measure the association between the risk of diseasse
in individuals and their individual exposures to etiological
factors. In cohort studies, a population of individuals is
defined at the start of the study as being exposed, or "at
risk", and is then followed over time in order to observe trie
incidence and timing of disease. A control population closely
similar to the exposed population except for the exposure is
established at the same time and followed in the same way.
After a long enough time, incidence of disease in the two popula-
tions is compared.
The cohort approach is often used when the exposure under
study is common. For example, with such risk factors as smoking
or air pollution, large cohorts can be readily identified.
However, when the number of exposed individuals is small, the
combination of a small cohort and a relatively uncommon outcome
(i.e., some specific cancer) can considerably reduce the statis-
tical power of a study, and small-to-moderate associations
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generally will not be detectable. Schlesselman (1974) has
shown that the sample size necessary to detect a twofold increase
in lung cancer among exposed individuals (with a statistical
confidence level of 95% that false positive results will not
be accepted, and a statistical power of 80% that true associa-
tions will be detected) would require over 24,000 persons in
both the study and comparison populations. Such large sample
requirements often make it important that the power of a study,
particularly one with "negative" findings, be carefully eluci-
dated. Cohort studies are also subject to biases and confounding
factors, unless detailed information about the characteristics
and exposures of the cohort and control group is collected.
These problems are especially important in retrospective cohort
studies, i.e., studies in which a cohort is identified as it
existed at some prior time, and its subsequent disease history
is compiled.
4. Case-Control Studies
Case-control (or case-referent) studies work in the opposite
direction from cohort studies (hence they are sometimes called
"trohoc" studies, which is cohort spelled backwards). Cases
(and appropriate controls) are identified, and an attempt is
made to discover the extent of prior exposure in both groups.
Case-control studies can usually be done much more quickly
(and much more cheaply) than cohort studies, particularly where
the disease (outcome) is rare. For relatively rare conditions,
they are able to provide estimates of relative risk for exposed
II-7
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,FT
vs. unexposed persons. They usually cannot provide estimates
of absolute risk, or the magnitude of risk that follows from
a given exposure, although methods are being developed for
estimation of exposure-specific rates (Schlesselman 1982) .
Case-control studies suffer from recall bias--i.e0, people
are asked to recollect exposures after the fact, and persons
with a disease may probe their memories more deeply or more
imaginatively in order to provide (for themselves) an explanation
of their illness. These studies are also subject to distortion
as a result of confounding, and are very sensitive (especially
in their risk estimates) to the choice of appropriate controls.
A schematic for both case-control and cohort studies is
given below:
Disease
Exposure Present Absent Total
Present a b m.
Absent c d m2
Total h n ~~N
In the cohort study one defines at the outset the popula-
tions m, and m^. After a suitable period of time an observation
is made of a and c (b and d fall out automatically, by subtrac-
tion) . The question is then asked:
is __
m,
II-8
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i.e., is the proportion of cases among the exposed greater
than among the non-exposed?
In a case-control study, the comparison is usually made
of ^ (the "odds" that disease occurred in previously exposed
persons) divided by °r (the "odds" that disease occurred in
previously unexposed persons). The resulting "odds ratio",
B/3 = ^-, is an estimate of the relative risk to an exposed
person. It does not matter that n-^ could be all persons (in
a given hospital, say) with the disease and n_ a sample of
all persons without the disease. If the n~ persons are appro-
priately chosen; the computation -a— yields an unbiased result
DC
(Siemiatycki et al. 1981, Schlesselman 1982).
5. Issues Arising in Studies of Cancer and Air Pollution
In succeeding sections, we review a number of epidemiolo-
gical studies in which the association between cancer and air
pollution has been investigated. The results of 46 of these
studies are summarized in tabular form in Appendix A (Table II-l),
Most of these studies have been of the descriptive or ecologic
type, but there have been several major prospective cohort
studies (e.g. Hammond and Horn 1958, Hammond and Garfinkel 1980)
and several large case-control studies in which large samples
of lung cancer cases were compared to unmatched control popula-
tions (e.g., Haenszel et al. 1962, Dean et al. 1977, 1978). Many
of the studies were not designed specifically (or exclusively)
to investigate air pollution, and some merely provide evidence
on urban/rural differences in cancer frequency.
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r-T
I
Seven general problems arise frequently in the interpre-
tation of these studies, and will be discussed summarily at
the outset.
a. Sites of action
Although some of the descriptive studies analyze data
on cancers at a number of sites, most of the detailed studies
are limited to lung cancers. The rationale for this focus
(where stated) is that the lung is the primary site of contact
with carcinogenic agents that may be inhaled from the ambient
air, that lung cancer is the primary effect of cigarette smoking,
that air pollution has components and characteristics in common
with cigarette smoke, and that some evidence exists to suggest
that air pollution may act to augment the effects of cigarette
smoking (see infra). Although all of these points have some
validity, there are several reasons to suspect that air pollution
may also act at sites other than the lung. First, air pollutants
(like cigarette smoke and other airborne carcinogens) come
into direct contact with other organs, including the upper
respiratory tract, the gastrointestinal tract and the skin.
Second, cigarette smoking is associated with elevated cancer
rates at sites other than the lung, including the mouth, pharynx,
larynx, esophagus, pancreas, kidney, and bladder; indeed, for
every excess lung cancer in cigarette smokers there is between
0.5 and 1.0 excess cancer at other sites (Doll and Peto 1981,
Wilson 1980). Third, although the air pollutants that result
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DRAFT
from incomplete combustion include components that are found
in cigarette smoke, ambient air also contains many other inorganic
and organic carcinogens (see Chapter III below). Some of these
are known to cause cancer in humans at sites other than the
lung, including the skin, pleura, peritoneum, hematopoietic
system, central nervous system, liver, and bladder (Althouse
et al. 1980). Indeed, source-specific studies have yielded
some evidence for excess frequency of cancers in the central
nervous system, pleura, peritoneum, liver, lung, nasal cavity,
skin, and breast in residents living in the neighborhood of
industrial sources (for review see Section II-C below). Fourth,
there is a marked urban excess of cancer at a number of anatomic
sites, including sites not known to be affected by cigarette
smoking or other identified urban factors (see Section II-E
below). Finally, if air pollution acts to enhance the effect
of cigarette smoking, it might well be conjectured that this
enhancement takes place at sites other than the lung.
In principle, it would be desirable for these reasons
to review and analyze studies of cancer frequencies at all
sites where an association with air pollution might reasonably
be hypothesized. In practice, data to support such an analysis
are scanty and inadequate. Descriptive studies that suggest
excess cancers at other sites are rarely controlled for smoking,
and there is not enough quantitative information on the effects
of smoking at other sites to attempt to subtract out its effects.
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DRAFT
Accordingly, this review follows others in focusing on lung
cancer.
Wilson (1980) suggested that, since cigarette smoking
causes about one cancer at other sites for each lung cancer,, it
would be reasonable to assume that the same would hold for air
pollution. Hence, he estimated the total number of cancers
caused by air pollution by doubling his estimate for lung can-
cers. Although this assumption is probably more reasonable
than ignoring other sites altogether, it is questionable for
at least three reasons. First, more precise analysis of cancers
attributable to cigarette smokng indicates that the ratio of
excess cancer at other sites to excess cancers in the lung
is between 0.5:1 and 0.7:1 rather than 1:1 (Doll and Peto 1981,
Tables 10 and 11). Second, the dose-response relationships
for airborne carcinogens at different sites may differ, so
that the ratio for excess cancers at other sites to excess
cancers of the lung observed in cigarette smokers may be too
high (or too low) for persons exposed to lower concentrations
of the same carcinogens. Third, as pointed out earlier, ambient
air contains a wider variety of carcinogens than cigarette
smoke, many of which act at sites other than the lung. Hence,
Wilson's assumption may understate the likely risks at other
sites. However, epidemiological data to investigate this hypo-
thesis are very scarce'.
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DRAFT
b. Nature and measurement of air pollution
"Air pollution" is a complex and variable mixture of agents
which exist in many chemical and physical forms, and no single
measure of "air pollution" can suffice to characterize fully
its potential to increase cancer risks. Unfortunately, most
of the quantitative measures of "air pollution" levels that
are available, particularly for the periods in the past when
exposures are likely to have been most significant in causing
current cancers, have been conventional pollutants, such as
CO, S09, hydrocarbons, NO , ozone, etc., which are unlikely
£• A
to be carcinogenic in themselves. These measures serve at
best as indirect measures of fossil fuel combustion or industrial
activity, and may or may not be well correlated with ambient
levels of .carcinogens. Other conventionally measured pollutants,
such as total suspended particulate matter or "smoke," include
products of incomplete combustion and are probably better corre-
lated with at least one class of airborne carcinogen. However,
neither these nor other available measures of air pollution
have any direct relation to emissions or ambient concentrations
of many of the inorganic carcinogens or industrial organic
chemicals listed in Table III-l.
Estimating air pollution exposure involves (1) the selec-
tion of an appropriate indicator of the carcinogenic potential
of air pollution, and (2) estimating the levels of exposure to
that indicator. Ideally, one could then combine the contribu-
tions of each pollutant known or suspected to be related to
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DRAFT
lung cancer (see Table III-l, Appendix B). This would require
a detailed historical inventory of the substances present in
the urban atmosphere and their relative carcinogenic activity.
Such information is not available. In its place several indi-
cators of carcinogenic potential have been suggested. For
example, benzo[a]pyrene (BaP), a product of fossil fuel combus-
tion, has been used as a surrogate by several investigators.
The early choice of benzo[a]pyrene appeared to be reason-
able in that BaP has been found to be carcinogenic and is rela-
tively easy to measure. However, similar levels of BaP may
occur with wide variations in the levels of other carcinogenic
air pollutants. It has been shown that polynuclear aromatic
hydrocarbons (PAHs) emitted from different sources are not in
a constant relationship to each other or to BaP (Friberg and
Cederlof 1978, Wilson et al. 1980). The use of BaP as a quan-
titative predictor of risk is discussed further in Chapter IV.
More recent work (Walker 1982) suggests that it may be
possible to correlate health effects (lung cancer mortality)
with the presence of mutagenic airborne materials. The short
term mutagenesis tests, such as the Ames test, could be used
to evaluate the mutagenic potency of air samples. This approach
needs considerable development before it will become practical.
There are also problems associated with attempts to monitor
exposure of the population to air pollutants. Monitoring is
often done from a single sampling station in a community and
measurements are used to characterize the levels of various;
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URAFT
pollutants in the surrounding census tract, city, or county.
Any extrapolation from monitoring data involves some error,
but when data from a few stations are used for a large area
involving a diffuse population, the likelihood of substantial
error is greater.
To remedy this would require detailed data on environmental
release and behavior in relation to the size and characteristics
of the exposed populations. The work of Greenberg (1979) indi-
cates that the use of more refined estimates of exposure increased
the strength of the association between industrial air pollution
and lung cancer mortality. He found that total suspended particu-
late emissions, when corrected for land area and wind direction,
showed a much higher correlation with lung cancer mortality
than did the uncorrected emission figures.
The lack of information on cumulative exposure of individ-
uals to air pollution is also a problem. This is particularly
important with respect to cancer, in that incidence and mortality
are in general proportional to cumulative exposure for many
carcinogens (Schneiderman and Brown 1978). Only in situations
where a single measurement of the indicator substance is propor-
tional to the cumulative exposure to that material will the
estimated relationship reflect the true effects of air pollution.
Over the last 10 years, levels of many air pollutants have
been declining (CEQ 1980). If this decline has been uniform
throughout the country, then estimates based on current cancer
mortality (affected by past air pollution levels) would over-
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estimate the role of air pollution. If, on the other hand,
air quality was improving in some areas while declining in
others (or improving at different rates), the full effect of
air pollution would be underestimated.
c. Outdoor and indoor air pollution
Although the term "air pollution" usually connotes pollu-
tion of outdoor air, it has recently been recognized that human
exposure to many airborne pollutants is often greater indoors,
even in nonoccupational settings. Although systematic measure-
ments of indoor air pollution are scanty, it appears that ambient
concentrations are generally greater outdoors than indoors for
pollutants that are emitted into or produced in the ambient, air
(e.g., S02f photochemical oxidants, and industrial chemicals),
but are generally greater indoors for pollutants that are released
or concentrated indoors (e.g., cigarette smoke, wood smoke,
radon, formaldehyde, asbestos, and components of consumer pro-
ducts) (for a recent review, see NRC 1981). Since most people
(other than outdoor workers) spend much more time indoors than
outoors (Szalai 1972), indoor exposures are potentially very
significant. Two studies which indicated excess frequencies
of lung cancer in nonsmoking wives of smoking husbands (Hirayania
1981, Trichopoulos et al. 1981; but see Garfinkel 1981b for
conflicting data) suggest that indoor exposure, at least to
components of cigarette smoke, may be sufficiently high to
lead to measurable increases in cancer risk.
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DRAFT
In the absence of systematic monitoring or epidemiological
studies of indoor exposure, it is only possible to speculate
about its likely contribution to the results of the epidemiolo-
gical studies reviewed in this section. For pollutants that
are generated outdoors, concentrations are frequently lower
indoors; for example, Wilson (1980) estimated that average
BaP levels indoors would be only about 40% of those outdoors,
so that risks posed by BaP to the average person would only
be about 60% of those calculated on the basis of outdoor levels.
Hence, it seems reasonable to assure that for these pollutants
differences in exposure between polluted and unpolluted areas
would be reduced in magnitude, in proportion to the time spent
indoors. For pollutants that are generated indoors, it seems
reasonable to assume that indoor concentrations would be rela-
tively independent of geographical location, degree of urbaniza-
tion, and degree of industrialization. For both reasons, we
expect that indoor exposures would be more likely to dilute
than to enhance the effects of outdoor air pollution in leading
to geographical and urban/rural differences in air pollution.
However, direct study of this issue is needed to confirm this
expectation. One limited exception to this generalization
is the indoor exposure of nonsmokers to cigarette smoke: to
the extent that smoking is (or was) more prevalent in urban
areas, urban nonsmokers might be at correspondingly greater
risk.
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d. Latency period and trends in exposure
A complicating factor in studies of the association between
air pollution and cancer--as in all epidemiological studies
of factors associated with cancer--is the long latency period
that usually elapses between exposure to carcinogenic agents
and the clinical manifestation of the resulting effect.
For most carcinogenic agents the 'minimum latent period
before excess cancers can be observed is 20-30 years, and for
agents such as asbestos the effective latent period may be
45 years or more. This means that associations have to be
estimated between present cancers and exposures far in the
past. Unfortunately, systematic measurements of exposure to
air pollutants were limited in extent and reliability in the
period when they were likely to have been most significant
in causing current cancers—the 1930s, 1940s, and 1950s.
A particular problem with air pollution is that its composi-
tion and distribution as well as its intensity has changed
since this critical period of interest. One major recorded
change is the reduction in concentrations of particulates,
smoke, and SC>2 in cities, which has resulted from the reduction
in the use of coal for space heating and the location of fossil-
fuel-fired power plants in rural areas (CEQ 1980) .
While this has resulted in a reduction in measured levels
of BaP, the primary indicator of incomplete combustion, it
has also led to a general reduction in urban/rural differentials,
Since the 1940s there has also been a massive increase in produc-
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DRAFT
tion of synthetic organic chemicals, including volatile carcino-
genic compounds that can now be found in ambient air (Davis
and Magee 1979). However, this has been accompanied by a general
improvement in industrial hygiene, housekeeping, and pollution
control, and by substantial efforts to reduce the emissions
of agents known to be carcinogenic, such as asbestos and vinyl
chloride. The consequence of all these changes is that reduc-
tions in ambient levels of some carcinogenic agents have been
offset by increases in others, so that it is not possible to
determine even the direction of trends in the likely overall
risks posed by ambient air. However, it appears likely that
the early control of combustion sources means that BaP is now
less useful as a surrogate measure of the potential carcinogeni-
city of ambient air, since its reduction has been accompanied
by the introduction of other (and more uniformly distributed)
pollutants.
e. Sex and racial differences
Most of the studies reviewed in this report have been
limited to (or focused upon) lung cancer in white males. In
principle, useful information could be derived from sex and
racial differences in cancer frequencies and patterns. For
example, lung cancer rates in black males are higher than those
in white males, although the former smoke less; this suggests
that black males are either inherently more susceptible or
are exposed more to other carcinogenic agents. Also, urban/rural
differences in lung cancer rates are smaller in white females
11-19
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than in white males, even when crudely matched for smoking
habits; this has been used to argue that the unexplained differ-
ences must be due to occupational exposures in the males.
However, females also have substantial exposure to potential
carcinogens in the workplace, and it has not been shown that
the difference in their exposure is sufficient to explain the
differences in their patterns of lung cancer. Another explana-
tion of this difference is that females spend more time indoors
in nonoccupational settings (Szalai 1972), so that they would
be less exposed to urban/rural differentials in outdoor air
pollution. A third possibility is that females are intrinsically
less susceptible than males to carcinogens in the urban environ-
ment, because of hormonal or other factors. Although we comment
on these and other features of some of the studies under review,
in general the studies of blacks and females have not been
sufficiently rigorous to yield the precise information that
could be derived from them.
f. Confounding and effect modification
The most pervasive difficulty encountered in the conduct
and interpretation of epidemiologic studies reviewed here is
the control of confounding (Rothman and Boice 1982, Schlesselman
1982). In the present context, confounding is the influence
of an extraneous variable that may wholly or partially account
for an observed effect'of air pollution or may mask a true
association between air pollution and lung cancer. A confounding
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DRAFT
variable is an extraneous variable that satisfies both of two
conditions (Schlesselman 1982) :
1. it is a risk factor for lung cancer;
2. it is associated with exposure to air pollution, but
it is not a consequence of that exposure.
An obvious example of a confounding variable in epidemiologic
studies of lung cancer and exposure to air pollution is age. The
risk of lung cancer increases with age, and sizeable differences
in the age distribution between "exposed" and "unexposed" groups
(or between cases and controls) could result in a spurious
association if the "exposed" group contained older individuals
than the "unexposed" group. Similarly, if the "unexposed"
group contains older individuals than the "exposed" group,
an association may be masked. For these reasons, epidemiologic
studies of air pollution and lung cancer generally control
for age differences, either by stratifying data according to
age or by standardizing to a reference population with a specific
age distribution. Other risk factors for lung cancer that may
be confounding variables are cigarette smoking and occupational
exposures to certain chemical or physical agents.
Confounding can be controlled by separating the effect
of air pollution from the effect of confounding factors (Rothman
and Boice 1982). Three strategies can be used for this separation:
(1) strict matching of lvexposed" and "unexposed" individuals
or of cases and controls; (2) stratification according to levels
or categories of the confounding factor, or (3) multivariate
mathematical modeling. Strict matching is rarely possible,
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DRAFT
especially when large studies are undertaken, and it is employed
only for certain case-control studies. With stratification,
the comparison of "exposed" with "unexposed" groups (or of
cases with controls) occurs within the various categories of
the confounding factor. In each stratum, the confounding factor
is set within a limited range so that the comparison will not
be significantly confounded. When confounding is controlled
by stratification, an overall measure of the effect of exposure
can be obtained by taking a weighted average of the stratum-
specific estimates. There are two basic ways of combining
such data (Rothman and Boice 1982) : pooling and standardization.
An assumption in pooling is that differences among stratum-
specific groups are due to sampling error. Standardization
does not require such an assumption.
Stratification is often preferred to multivariate analysis
because it permits closer examination of the data by the investi-
gator and it is easier to interpret by readers (Rothman arid
Boice 1982). Multivariate analysis, on the other hand, reduces
the investigator's "feel" for the data, involves a set of mathe-
matical assumptions about dose-response and related relationships
that can rarely be tested and verified, and its results are
often difficult to interpret in direct epidemiologic terms.
A further complication in the control of confounding is
the potential for interaction between a confounding variable
(such as cigarette smoking) and a study variable (such as a
measure of air pollution). If the effects of air pollution
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UKAK
were enhanced in the presence of smoking, smoking would be
an effect modifier for air pollution (and vice versa). Effect
modifiers are not true confounding variables, and treating
them as such could bias the estimate of effect and hence the
conclusion about the nature and strength of an association.
In situations in which there may be several confounding
factors, stratification may not be practical and multivariate
analysis may be the preferred way to control several factors
simultaneously. In addition, roultivariate analysis may include
various interaction terms in the event that some factors modify
the effects of the exposure under study. The multivariate
model can give an estimate of the importance of the interaction.
Thus, multivariate analysis may constitute a more rigorous
tool than stratification in the presence of interactions, but
the results of such an analysis must be interpreted with care.
Most of the studies reviewed below employed stratification
and standardization to control for confounding, but no study
fully considered all potential confounding factors. Furthermore,
a general limitation in these studies was the failure to consider
interactions between study and confounding variables, or if
considered, the informal nature of the analysis.
g. Study sensitivity
Several factors operate to reduce the sensitivity of many
studies. Migration tends to blunt distinctions. Small studies
are notoriously insensitive. For example, Winklestein et al.
(1967), Dean (1966), and others, made computations on the basis
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DRAFT
of a small number of cases (often less than five). Conclusions
based on such small numbers must be viewed with caution, in
that the variability can be large and a few cases can substanti-
ally affect an apparent association. As with the failure to
control for potential confounding factors, this could result
in either an increase or a decrease in the observed associations.
Dean (1966) reported that in inner Belfast the age-standardised
lung cancer mortality rate for male non-smokers was 36 per
100,000 men. This was based on six cases. The upper and lower
95% confidence limits on this estimate (Table A-5 in Lilienfeld
et al. 1967) are 78.5 and 13.2, respectively. For male non-
smokers residing in the "Environs of Belfast," a lung cancer
mortality rate of 16 per 100,000 men was calculated on the
basis of one observed case. Upper and lower 95% confidence
limits on this estimate are 89.1 and 0.4.
h. Comparison populations
Rural populations are often used as "control" or comparison
populations. Rural residents are not without exposure to environ-
mental hazards such as farm chemicals, pesticides, etc. Indeed,
as pollution has become more widespread, the distinctions between
exposed and unexposed populations have become blurred. Higginson
and Muir (1979) noted this complicating factor:
Often people assume that industrial and urban
environments are more heavily contaminated by such
agents as chemical'carcinogens, mutagens, and prom-
oters, and that comparison with nonindustrial areas
should provide measure of their effect. However,
these comparisons are complicated by widespread
pollution by such chemicals as pesticides and herbi-
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DRAFT
cides occurring in modern agricultural societies
as well as by behavioral and dietary variables.
(p. 1992)
Shabad (1980) recently made the same point, noting the many
sources of atmospheric benzo(a)pyrene and its ubiquitous nature
in the environment. A recent analysis of cancer mortality
data led Greenberg et al. (1980) to hypothesize that factors
leading to environmentally induced cancer are diffusing, and
are in turn leading to higher cancer mortality rates in parts
of the United States other than the historically high rate
areas of the Northeast and Great Lakes states. Blot and Fraumeni
(1981) have reported on the recent great increase in lung cancer
rates in both rural and urban areas of the southeastern United
States. The rates in the southeast now exceed those in the
northeast. Whether this is due to the rapid industrialization
of the southeast following World War II (and possible concomitant
increase in pollution) or to cigarette smoking differentials
(if there are any) is not at all clear. It is thus unlikely
that present urban/rural ratios provide a full statement of
urban excess relative to a pristine environment. Future urban-
rural differences may be even less.
C. Source-Specific Studies
The air in communities surrounding industrial point sources
has often been found to contain carcinogenic substances. From
this it has been anticipated that residents of such communities
would be at increased risk of developing cancer. The issue
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discussed in this section is whether this risk is sufficiently
large to be significant and measurable.
This local type of pollution (point source, source-specific,
or neighborhood pollution) has been distinguished from pollution
of the general ambient air derived from diverse sources. For
example, Hammond and Garfinkel (1980) stated:
General air pollution should be distinguished
from "neighborhood pollution" of fumes or particulate
matter from a factory or similar source. The effects
of this type of exposure may certainly increase
the risk of cancer in people living across the street
from a factory from which chemical or mineral conta-
minations are discharged. But the effects of such
risks for people living within several miles of
such factories has not yet been clearly delineated.
(at p.207)
Many carcinogenic substances have been identified through
studies of work-place exposure; of the 36 compounds or processes
that have been linked more or less strongly to cancer in humans,
23 are chemicals or processes identified in the workplace (Althouse
et al. 1980). The impact of such substances may be restricted
entirely to the workplace or may extend to the surrounding
communities. Community or neighborhood studies are usually
undertaken to see if they give results that are consistent
with worker studies. Attention has been drawn specifically
to studies of this kind that have reported associations of
excess cancer with community exposure to arsenic, asbestos,,
and vinyl chloride (EDF/NRDC 1980).
Ambient community exposure levels are likely to be consider-
ably lower than worker exposures, and the risks to individual
persons are expected to be correspondingly lower. However,,
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DRAM
the differences in ambient concentrations are offset by several
other factors. Ambient exposure may occur over a longer period
of time (i.e., be of greater duration) than workplace exposure.
The age at first neighborhood exposure may be considerably
lower than at first workplace exposure. The population-at-
risk may be larger for ambient pollution than for workplace
exposure, and may include more highly susceptible individuals.
Therefore, exposure levels that may have resulted in only a
few cancers among a small worker population 7ould theoretically
lead to a substantial number of cancers among the larger (and
more diverse) populations exposed to ambient pollution. However,
any such effects would be more difficult to detect in the general
population because of their low expected frequency and the
difficulty in controlling for other factors.
1. Arsenic
Several studies have shown that workers exposed to high
levels of inorganic arsenic are at an increased risk of develop-
ing lung cancer (Lee and Fraumeni 1969, Pinto et al. 1977,
Ott et al. 1974). Because of these findings, several investi-
gators have studied the risks to residents of communities in
which smelting and refining industries are located. To date,
the evidence is mixed for an association between cancer and
community exposure to arsenic, some studies showing evidence
for increased cancer risks, others not. Blot and Fraumeni
(1975) , Newman et al. (1976), and Pershagen et al. (1977) have
reported that residents in counties in which smelters are located
11-27
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are at increased risk of developing cancer. Matanoski et al.
(1981) have reported that lung cancer rates are significantly
higher in areas near an arsenical insecticide plant. Similar
increased risks were not found by Greaves et al. (1980), Lyon
et al. (1977), and Perry et al. (1978).
Blot and Fraumeni (1975) studied the distribution of lung
cancer mortality in 71 U.S. counties with primary smelting
and refining industries. Using the data compiled by Mason
et al. (1975), cancer mortality rates (for the period 1950-1969)
were calculated for the white population in each county. Data
on the possible confounding factors of population density,
percentage urban, percentage nonwhite, percentage foreign born,
median number of years schooling, median income, and geographic
region were obtained from the 1960 census statistics.
A general linear, multiple regression model with adjust-
ments for confounding was used to test for differences in cancer
mortality between the smelting/refining counties and the remain-
ing U.S. counties. It was found that lung cancer mortality,
corrected for demographic variables, was significantly higher
among both males (17%, p<0.01) and females (15%, p<0.05) residing
in the 36 counties with copper, lead, or zinc smelting or refin-
ing operations than in counties without these operations.
This excess was found in all counties independent of population
size, but the magnitude of the excess was lower in the more
populated, urban areas. The authors concluded that these
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...findings suggest the influence of community air
pollution from industrial emissions containing inorganic
arsenic.
This interpretation of these results was questioned by
ASARCO (1980) , Air Products (1980) , and AIHC (1981), who pointed
out that Blot and Fraumeni failed to distinguish between smelters
and refineries or between copper and other nonferrous smelters.
In response to this criticism, Blot and Fraumeni's data were
reanalyzed after eliminating the four counties containing only
refineries. This recalculation did not substantially alter
the results (EPA 1978).
A second criterism of Blot and Fraumeni's study was that
most of the inhabitants in some of the counties did not live
in close proximity to a smelter. However, this dispersion
of population would be expected to have reduced the reported
association by diluting the increased risks among those living
close to smelter emissions with the larger numbers of persons
residing far from the smelter and thus unexposed, or exposed
to a lesser extent. The finding that lung cancer rates were
only slightly elevated in the more heavily populated counties
is consistent with this latter interpretation.
ASARCO (1980) also argued that the failure to control
for smoking and occupational exposures could have resulted
in a serious distortion of the results. However, as noted
by Blot and Fraumeni, occupation is unlikely to be responsible
for the elevated risks among females living in the counties;
nor is it likely that the small fraction of the total male
11-29
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population directly employed in the smelting industry (less
than 1% in over half the counties) would account for a 12-17'fc
increase in total mortality from lung cancer. Smoking data
collected by Newman et al. (1976) suggested that smoking habits
among residents of smelting and refining counties were similar
to national patterns. Thus, although rigorous control of these
confounding factors was not attempted, there is no evidence
that their effects would have been large.
ASARCO (1980) also argued that there is no statistical
association between arsenic emissions from a given smelter
(expressed in kg/hr) and lung cancer rates in the county.
However, levels of human exposure to arsenic in a given county
are a function not only of the rate of emission from the nearby
plant, but also of the physical size (area) of that county,
meteorological conditions, the location of the plant relative
to the human population, and other factors that influence the
level, duration, and nature of exposure. For example, the
Tacoma, Washington smelter, which had the highest emission
rate, is located in the northwest corner of a rather large
county with much of the county population at some distance
from the smelter; therefore, it is reasonable to assume that
large numbers of residents were not exposed to arsenic or exposed
to low levels. Also, the comparisons made by ASARCO (1980)
did not take into account demographic differences between the
various counties.
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Newman et al. (1976) studied the incidence and histologic
types of bronchogenic cancer occurring among residents of Butte
and Anaconda, two communities close to the Anaconda Copper
Company smelter in Montana. Using data from the Montana State
Register and the U.S. Census, incidence rates for lung cancer
during 1969-1971 among men and women residing in Butte and
Anaconda were calculated. These were compared to statewide
incidence rates for all of Montana. It was found that the
incidence of cancer of the bronchus and lung was significantly
(p<0.01) elevated among men in both Anaconda and Butte, and
among Butte women (p<0.001). Three respiratory cancer cases
were found among Anaconda women, which was greater than expec-
tation, but not statistically significant. When Newman et
al. (1976) calculated the incidence of respiratory cancer among
Anaconda women for a 10-year period of observation, they found
that the Anaconda rate of 2.9 cases/10 persons was significantly
higher (p<0.05) than the state rate of 1.4/10 . However, this
study did not control for smoking habits or for occupation,
so it is not clear that the elevated rates were attributable
to exposure via the ambient air.
Histological slides were available for 143 cases of lung
cancer diagnosed between 1959 and 1972. These slides were
re-evaluated by a panel of pathologists, and information on
occupation, residence, and other factors was obtained for each
case. Information on smoking habits was also obtained, but
for only 41% of cases. The distribution of histologic types
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A ; \
among four groups (copper-smelter workers, copper mine workers,
"other" men, and women of Butte) was studied. Newman et al. (1976)
reported a high percentage of poorly differentiated epidermoid
carcinomas among smelter workers. This finding was consistent
with similar reports of excess lung cancer of this histologic
type among smelter workers (Lee and Fraumeni 1969) and patients
receiving arsenic medication (Weiss et al. 1972). Poorly dif-
ferentiated epidermoid carcinomas were also the predominant
histologic type in female residents. Newman et al. concluded
that arsenic must be strongly suspected as the etiologic agent
of excess cancer in both the smelter workers (males) and in
females in the general Butte and Anaconda populations. However,
well differentiated epidermoid carcinomas were the predominant
type in male residents of Butte and in miners, and Newman et al.
suggested that these might have resulted from exposure to a
specific type of friable sanding material used on the city
streets during the winter months. Air Products and Chemicals
(1980) also drew attention to the lack of excess cancers among
residents of the counties surrounding Butte and Anaconda, but
this does not conflict with the hypothesis of neighborhood
effects.
Pershagen et al. (1977) studied the mortality from different
causes in an area surrounding the Ronnskarsverken smelter works
in northern Sweden. A reference population with a similar
degree of urbanization, occupational profile, fraction of popula-
tion working, and geographic location was chosen. For these
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two populations, causes of death over a 14-year period (1961-1974)
were extracted from the National Registry on Causes of Death.
The age structure of each population was derived from the National
Censuses of 1960, 1965, and 1970. The standard mortality ratio
(SMR) for lung cancer among males in the exposed population
surrounding the smelter works was significantly (p<0.01) elevated
when compared to that of the reference population. The SMR
was not significantly elevated in contrast to national rates.
Closer examination by Pershagen et al. (1977) of the 28 male
cases with primary respiratory cancer revealed that 15 had
been employed at the Ronnskarsverken smelter. Excluding these
individuals, a nonoccupational SMR of 173 was calculated, which,
although greater than 100, was reported to be not statistically
significantly greater than national rates (p<0.05). Female lung
cancer rates in the Ronnskarsverken area (relative risk = 1.08)
were not significantly different from the national or comparison
population rates.
There are, however, questions regarding the authors' statis-
tical handling of these data. They calculated a (nonoccupational)
SMR of 173 (13 observed vs. 7.5 expected) and reported that
this was not significantly greater than 100. This difference
is statistically significant (Z = 2.01, p<0,05) using a one-
tailed test, which appears appropriate because the hypothesis
under test is whether the SMR for males in the Ronnskarsverken
area is greater than in the comparison area.
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„ i
This study did not control for possible differences in
smoking habits. However, large differences in smoking habits
between the two local populations were considered unlikely
because the two populations were similar with regard to the
several socioeconomic variables to which smoking habits are
closely related.
Lyon et al. (1977) investigated the incidence of lung
cancer in communities surrounding a copper smelter near Salt
Lake City. They identified all new cases of lung cancer during
1969-1975; all new cases of lymphoma were used as a control.
Using addresses at the time of death or diagnosis, cases and
controls were grouped according to position in relation to
the smelter. There were no significant differences in the
frequency of cancers between cases and controls at any specific
distances from the smelter. The observed numbers of cases
within four zones classified by distance from the smelter were
all close to those expected. The authors concluded that these
findings were not consistent with previous reports of increased
rates of lung cancer among persons living near smelters.
Because of several features of this study, however, the
authors' conclusion should be viewed with caution. First,
the study was apparently not controlled for several potential
confounding factors such as smoking and occupation. Second,
the authors failed to consider migration in and out of the
study regions. Third, the use of lymphomas as a control group
appears to have been an inappropriate choice, since lymphomas
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DRAFT
have been associated with arsenic exposure (Ott et al. 1974).
Finally, the study was conducted in a county in which the lung
cancer mortality rate was one of the lowest of the 36 counties
studied by Blot and Fraumeni (1975) , and hence did not provide
a sensitive test of their hypothesis.
Greaves et al. (1980) studied the incidence of lung cancer
in ten communities surrounding nonferrous smelters. For the
majority of these counties, the SMRs for lung cancer exceeded
100 (the range was 46-246). The authors identified all lung
cancer cases (using as controls all cases of three other types
of cancer: breast, prostate and colon) occurring between 1970-
1977 within a 20 km radius of each smelter. Using addresses
for each reported case at the time of death or diagnosis, the
distance of the residence from each smelter was calculated
for each case. The authors concluded there was no relationship
between distance from the smelter and the incidence of lung
cancer. However, some of the problems of potential confounding,
interactions, and migration that were discussed earlier also
apply to this study.
Matanoski et al. (1981) studied cancer mortality among
residents of an area surrounding an arsenical insecticide plant
in Baltimore. A significant excess of lung cancers was observed
among males, relative to a comparison population matched for
race, sex, age, and socioeconomic status. These comparisons
were based on 25 lung cancer deaths. The excess in lung cancer
remained when two lung cancer deaths among plant employees
11-35
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were removed. The remaining cases were distributed in an area
lying north and east of the plant. This area had the highest
levels of arsenic in the soil, which tends to confirm the fact
of exposure. No significant excess was found in females.
The interpretation of these results is complicated, however,
by the lack of information on interactions with smoking or
occupation. The lack of an effect among women suggests that
other environmental or sex-specific factors (either acting
alone or in conjunction with airborne arsenic) may be important.
2. Asbestos
A large number of investigators have demonstrated that
occupational exposure to asbestos results in an increased risk
of lung cancer, pleural and peritoneal mesotheliomas, and gastro-
intestinal cancers (IARC 1977). The indestructibility of this
material, its wide use, and (at least in the past) large indus-
trial emissions make it a reasonable hypothesis that such risks
extended beyond the workplace. This is a particularly suitable
example for study because two of the diseases associated with
asbestos exposure (pleural and peritoneal mesotheliomas) are
extremely rare in persons without exposure to asbestos, so
that they serve as markers for asbestos-induced disease.
Several studies have reported apparent clusters or excesses
of mesotheliomas in the vinicity of asbestos factories, mills,
or mines. Newhouse and Thompson (1966) studied a series of
83 patients of the London Hospital with a diagnosis of mesothe-
lioma in order to determine the extent (if any) of asbestos
11-36
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IPS
exposure. Full occupational and residential histories were
obtained for 76 of these patients. Using 76 patients from
the same hospital suffering from other diseases as controls,
it was found that a significantly greater number of niesothelioma
patients (p<0.01) with no evidence of occupational or domestic
exposure were found to live within a half-mile of an asbestos
factory.
This study has been criticized (AIHC 1981) for the choice
of comparison groups. The controls, although matched for date
of birth and sex, differed from the mesothelioma cases in that
all were admitted to the hospital during 1964 while the mesothe-
lioma cases were admitted between 1917 and 1964. This could
be a source of bias because exposure conditions might have
changed considerably between 1917 and 1964. Such biases would
be expected to have reduced rather than increased the reported
association, because the greatly increased use of asbestos
would have made general population exposure to asbestos more
common in 1964 than 1917, thus leading to greater potential
for exposure in the controls than in the cases. The authors
stated that there was no evidence that the controls were less
likely than the study group to have worked in contact with
asbestos or to have lived in close proximity to asbestos fac-
tories. However, the basis for this conclusion is not clear,
especially for the persons who had died long before the study
was conducted.
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rT
if \
Wagner et al. (1960) reported on 33 cases of diffuse pleural
mesothelioma that were observed in South Africa during the years
1956-1960. All but one of the cases had probable exposure to
crocidolite asbestos as a result of occupational exposure (4 cases)
or residence near the Cape asbestos mine fields (28 cases).
The authors reported that during the same period of time, diffuse
pleural mesothelioma was rarely diagnosed in other (non-mining)
areas of South Africa.
Although this study had no concurrent controls, the occur-
rence of diffuse pleural mesothelioma appears to be a sufficiently
rare event that the results would undoubtedly be statistically
significant if the population rates could be computed. Air
Products and Chemicals (1980) , in a critical review, raised
the question of whether natural outcroppings and weathering
of ore bodies could have been the source of asbestos exposure
rather than mining activities. However, in either case it
seems likely that airborne asbestos was the causative factor.
According to Bohlig et al. (1970), Dalquen et al. (1969)
reported an increased incidence of mesothelioma in the neighbor-
hoods surrounding an asbestos processing factory in Hamburg,
Germany. Dalquen et al. (1969) reportedly found that while
the total incidence of mesothelioma among the general population
was 0.056% for the years 1959-1969, the incidence in the resi-
dential area near the factory was 0.96%. However, no test
of statistical significance was reported. There are also several
case reports (Tayot et al. 1966, Bohlig et al. 1970, Stumphius
11-38
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DRAFT
1969, Wagner et al. 1971, and Tabershaw et al. 1970) of what
appear to be environmentally related cases of mesotheliomas
among residents in neighborhoods near shipbuilding areas.
Hammond et al. (1979), in the largest of the neighborhood
studies, studied the mortality of residents in the vicinity
of an asbestos factory in Riverside, a district in Paterson,
New Jersey. From city directories for 1942-1954, all male
residents of Riverside and Totowa, a second neighborhood which
served as the control, were identified. These individuals
were traced until 1976. During the period 1962 to 1976, no
significant differences were noted in total deaths: 780 (43.8%)
of Riverside subjects and 1735 (46%) of Totowa subjects had
died. Specific causes were cancer at all sites: 163 (9.2%)
vs. 353 (9.4%), and lung cancers: 41 (2.3%) vs. 98 (2.6%).
One pleural mesothelioma in a Riverside male was reported in
1966. Although this single case is not sufficient to support
the hypothesis generated by the case reports, the duration
of follow-up may not have been sufficient to have detected
environmentally-related mesotheliomas. Newhouse and Thompson
(1965) found that the mean length of time between first exposure
and death for mesothelioma cases living in the neighborhood
of an asbestos factory to be 48.6 years (vs. 29.4 for factory
workers).
Although the most extensive study was thus inconclusive,
the rarity of mesotheliomas in individuals not exposed to asbestos
gives considerable weight to the less well-controlled studies
11-39
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and case reports of mesotheliomas among residents in neighbor-
hoods surrounding asbestos mines and factories. However, these
studies yielded no specific evidence for exposure other than
location of residence. Environmental exposure to asbestos
also results from other activities (e.g., wearing out of brake
linings in automobiles). In one study of urban dwellers, nearly
all (96%) had asbestos fibers in their lungs (Churg and Warnock
1977). This suggests that asbestos from diverse sources, parti-
cularly airborne asbestos, may be an important problem for
additional study.
3. Vinyl Chloride
Cases of the rare cancer, angiosarcoma of the liver (ASL),
have been reported among individuals living near vinyl chloride
fabrication, or polymerization, plants. Brady et al. (1977)
studied the cases of ASL reported to the Tumor Registry of
the Cancer Control Board of the New York State Department of
Health during the years 1958-1975. For each of these cases
a matched control with an internal malignant tumor other than
primary liver cancer was selected from the registry. Cases
and controls were matched on age (same 5-year age group), race,
sex, county of residence, and vital status. Relatives of both
the subjects and matched controls were interviewed in order
to obtain information on potential exposure to vinyl chloride
(VC), arsenic (As), or thorium oxide (Th02), as well as medical,
familial, residential, and occupational histories. Of the
26 cases of ASL diagnosed during 1958-1957, 7 had direct exposure
11-40
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DRAFT
to VC, As, or Th02 (p<0.02). Of the remaining 19, 5 lived
within one mile of a VC fabrication or polymerization plant.
Although this is suggestive of an association, no statistical
test of the possibility of this finding arising by chance was
reported. Due to the small number of cases and the lack of
monitoring data directly demonstrating exposure, no firm con-
clusions are possible.
Infante (1976) studied the mortality patterns of residents
of four Ohio communities with polyvinyl chloride (PVC) production
facilities. Using data for the Ohio white population as the
standard, SMRs were calculated for central nervous system (CNS)
cancer, leukemia and aleukemia, and lymphomas. He found that
in these four communities the number of observed CNS cancers
for both sexes combined during 1958-1973 was significantly
greater than that expected (38 observed vs. 24.07 expected
p<0.001). SMRs were also calculated for each of the counties
excluding the areas surrounding the PVC facilities, but no
significant excesses were found.
This study was reviewed by Air Products and Chemicals
(1980), who commented that interpretation of this study is
complicated by the fact that (1) the increase in CNS tumors
was observed primarily in males, and (2) most of the excess
occurred in one part of the study area (Painesville). They
argued that these factors seriously challenge any conclusions
of association of vinyl chloride with community cancer risks.
11-41
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To these criticisms should be added the failure to control
for occupational exposure, race, and socioeconomic status.
Infante (1976) has also been criticized by the Society
of the Plastics Industry (1980) for including North Ridgeville
in the study group while not including other cities located
as close as North Ridgeville or closer to the PVC facilities
(e.g., Mentor, Ohio). If North Ridgeville is excluded from
the study group, the excess in CNS tumors remains significant
(p<0.05, one-sided test), however.
4. Petrochemical and Other Chemical Emissions
A number of studies have indicated that workers exposed
to a wide range of industrial chemicals are at increased risk
of developing cancer (Althouse et al. 1980). An increased
risk of bladder cancer has been reported among workers exposed
to benzidine (Case et al. 1954) and paints (Cole et al. 1972}.
Exposure to polycyclic aromatic hydrocarbons (found in crude
petroleum, catalytically cracked oils, soot, and other pyrolysis
products) has been associated with increased incidence of cutaneous
and pulmonary cancers in workers (Doll et al. 1972, Lloyd 1971,
Hammond et al. 1976, Fraumeni 1975).
Blot et al. (1977) studied cancer mortality patterns for
1950-1969 in the U.S. counties where the petroleum and petro-
chemical industries are most heavily concentrated. Using methods
similar to those of Blot and Fraumeni (1975) described above,
it was found that male residents of these counties experienced
significantly higher rates for cancers of the lung, nasal cavity
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DRAFT
and sinuses, and skin compared to male residents of counties
with similar demographic characteristics but with no petroleum
industry. Lung cancer rates for white females in petroleum
industry counties were also significantly elevated. Due to
the lack of information on occupation and smoking, however,
the specific reasons for these associations are ambiguous and
somewhat debatable. Similarly, the causes of increased mortality
rates for cancer of the bladder and liver among males and females
(increased lung cancer mortality for males only) in U.S. counties
with chemical industries are not identifiable without additional
data. However, the finding of increased rates for both males
and females suggests that factors other than occupational expo-
sures are likely to be involved. Blot et al. (1977) noted
that if occupational exposures in males and females were solely
responsible for these increases, the worker risks would be
substantially above those of the general population, and should
be easily detectable.
Capurro (1979) studied the mortality experience of a popu-
lation of 117 people exposed to solvent vapors from a chemical
plant for more than 5 years. These individuals were followed
for a 6-year period (1968-1974). During this time there were
14 deaths (vs. 6 expected), 7 of which were due to cancer.
In particular, there were four cases of lymphoma (three reported
on death certificates). The ratio of observed to expected
deaths (based on Maryland death rates) was 3.0/0.0187 = 160.
The incidence of new cases of cancer of the larynx was also
11-43
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f
\
elevated 61-fold (2 observed vs. 0.033 expected on the basis
of incidence rates from the Connecticut Tumor Registry data).
These high relative risks are based on few cases, and the authors
noted that all four individuals with lymphoma were previously
employed at a paper mill that closed in 1948. Questions also
remain on the nature of the study population and the suitability
of using state rates for comparison, particularly because two
different sets of rates, Connecticut (for incidence) and Maryland
(for mortality), were used.
Hearey et al. (1980) compared estimated age-adjusted cancer
incidence rates (1971-1977) among Kaiser Foundation Health Plan
(KFHP) members living near petroleum and chemical plants in the
Contra Costa area of the San Francisco Bay region, to incidence
rates among KFHP members living in the remainder of the bay
area. Comparisons of rates for the two areas showed no evidence
of increased cancer risk in KPHF members in the area near the
plants. However, questions remain on the composition of the
study population and whether the individuals enrolled in the
KFHP were representative of the Contra Costa study population.
It is unclear whether the controls were suitable for studying
the relationship between industrial emissions and cancer.
No adjustments were made to account for possible differences
in occupation, duration of residence, socioeconomic status,
and smoking, and it is not clear from the written report that
the study was controlled for race. There is also some question
whether there were sufficient differences in potential exposure
11-44
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DRAFT
levels between study and comparison populations to produce
an effect large enough to detect.
5. Steel Manufacturing
Elevated rates of cancer have been reported in counties
where steel is manufactured. Perry et al. (1978) reported
that, among the female residents of Johnstown, Pennsylvania,
the age-adjusted mortality rates of several types of cancer
(oral, respiratory, breast, urinary, central nervous system,
and peritoneal and other digestive system cancers) were signi-
ficantly elevated over those of residents of the county living
outside Johnstown. Rates in men, with the exception of digestive
system cancers (and breast cancer), were also elevated in the
community. Carnow (1978) , in examining data from Allegheny
County, Pennsylvania, and Lake County, Indiana, large steel
production areas, also found increased lung cancer mortality
rates among both males and females. Cecilioni (1972, 1974)
analyzed the cancer mortality rates in Hamilton, Ontario, a
steel manufacturing city, in 1966-1970. He found the highest
rates in districts close to the steel mills. Similarly, Lloyd
(1978) found significantly elevated lung cancer rates among
male residents living near and downwind of a Scottish steel
foundry in Scotland. This clustering could not be wholly accounted
for by cigarette smoking or occupation.
11-45
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DRAFT
D. Migrant Studies
This section summarizes several studies that have reported
differences in site-specific cancer rates between native and
foreign-born populations in South Africa, New Zealand, and
the United States.
Haenszel (1961) found that mortality from lung and bronchial
cancer was higher for English and German immigrants to the
United States than for native Americans, but lower than the
rates in their countries of origin. The results suggest that
immigrants bring some of their greater liability to cancer
with them, possibly because of living conditions experienced
earlier. Yet, by leaving their native countries, they lose
some of the still greater risk existing among people remaining
at home. This might imply that migration involves reduction
in exposure to some "native" carcinogens. Dean (1964) observed
that the lung cancer rates for British subjects migrating to
South Africa were intermediate between those of native-born
South Africans and comparable to those of British subjects
who remained in Great Britain. Eastcott (1956) found that
immigrants from the United Kingdom had a 35% higher risk of
lung cancer than native New Zealanders if they came from the
United Kingdom before the age of 30, and a 75% higher risk
if they migrated after the age of 30. The per capita consump-
tion of cigarettes was higher in New Zealand and South Africa
than in the United Kingdom. Differences in smoking habits
are, therefore, not likely to account for these findings.
11-46
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DRAFT
Among Norwegians living in Norway, where air pollution
levels are generally low, the lung cancer rate is also low.
Among the U.S. urban populations, where air pollution levels
are higher, the rate is twice as high. For Norwegians who
have migrated to the United States, the rate is midway between
these (Reid et al. 1966).
In a study of male residents of Cuyahoga County, Ohio,
the risk of lung cancer for Italian immigrants was found to
be lower than that for U.S.-born residents and similar to the
rate in their native country. Immigrants from England and
Wales showed a lung cancer mortality that was similar to the
rate for natives of the United States but lower than the rate
for their peers in England and Wales (Mancuso and Coulter 1958;
see also Mancuso and Sterling 1974). Adjustments for smoking
were not made.
These studies of migrants suggest that early environmental
exposure (in addition to smoking) is important in determining
the risk of lung cancer later in life. In each of the studies
discussed, the frequency of lung cancer among migrants is interme-
diate between the rates in the original country and the adopted
country. The epidemiological evidence that risk is higher in
migrants from countries with high pollution levels (and lower
in migrants from countries with low pollution levels) is con-
sistent with the hypothesis that polluted air is a contributing
factor in the etiology of lung cancer.
11-47
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If it can be assumed that the exposure of emigrants from
a particular country is representative of the general population
exposure, these findings would indicate that long-term exposure
to ambient air pollutants increases an individual's risk of
lung cancer. However, there are several problems with the
interpretation of these studies. First, it is not clear that
the statistics on cancer rates in the different countries and
on persons of different national origins in the same country
were collected in the same way and were rigorously comparable.
For example, in most studies cancer rates for immigrant communi-
ties were compared with national rates in their native and
adopted countries. Second, none of the studies was controlled
or even stratified for smoking habits, occupation, socioeconomic
status, of urbanization in the country of origin. Migrants
constitute self-selected populations that have experienced
unsatisfactory conditions in their country of origin; it is
a matter of conjecture to what extent these conditions may
have involved occupational exposures, residence in polluted
areas, or other factors that may have increased their cancer
risks. Third, none of the studies reported actual measures
of the air pollution levels to which the population groups
were exposed, either in their country of origin or their country
of adoption. Although it is a reasonable hypothesis that air
pollution levels were generally low (in the relevant period
prior to 1940) in New Zealand, South Africa, and Norway, inter-
mediate in the United States, and high in Great Britain, there
11-48
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DRAFT
were presumably overlooked variations in exposure within each
country. Thus, although these studies are consistent in sug-
gesting that migrants from one country to another carry part
of their risk with them, the studies do not permit rigorous
tests of the hypothesis that early exposure to air pollution
was a critical factor contributing to this risk.
E. Urban-Rural and Other Geographical Studies
1. Introduction
Geographical patterns of cancer have been studied more
extensively than specific industrial emissions. Of particu-
lar relevance to the problem of air pollution and cancer is
the comparison between cancer rates in polluted and nonpolluted
areas.
Many such comparisons have been made, both directly and
indirectly. For nearly all monitored pollutants, urban areas
have higher levels of pollution than rural areas. If common
constituents of air pollution increase the risk of developing
cancer, it would be expected that cancer rates in polluted
areas would be higher than those in areas with relatively little
pollution (all other factors being equal). When rates in urban
areas are compared to rates in rural areas, this is observed.
A number of investigators (Table II-l, Appendix A) have reported
that for lung and other forms of cancer, incidence and mortality
rates are higher in urban areas than those in rural areas.
For example, Table II-2 summarizes data on age-adjusted cancer
11-49
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TABLE II-2
URBAN/RURAL COUNTY RATIOS OF U.S. AGE-ADJUSTED
CANCER MORTALITY RATES, WHITE POPULATION, 1950-1969
Male
Site
Esophagus
Larynx
Mouth and Throat
Rectum
Nasopharynx
Bladder
Colon
Lung
All Malignant
Neoplasms
Urban/
Rural
3.08
2.96
2.88
2.71
2.17
2.10
1.97
1.89
1.56
Female
Site
Esophagus
Rectum
Larynx
Nasopharynx
Lung
Breast
Bladder
Other Endocrine
All Malignant
Neoplasms
Urban/
Rural
2.12
2.11
1.92
1.66
1.64
1.61
1.58
1.52
1.36
SOURCE: Goldsmith (1980), Table 1, p. 206
11-50
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DRAFT
mortality rates in the United States between 1950 and 1969.
The ratios between overall rates in counties classified as
urban and rural were 1.56 for all malignant neoplasms in males,
and 1.36 for all malignant neoplasms in females; these ratios
exceeded 1.5 at 10 individual sites (Goldsmith 1980). Table II-3
summarizes data from six studies of lung cancer mortality in
the U.S. in the period 1947-51. Urban/rural ratios observed
in these studies varied between 1.2 and 2.8 (Shy and Struba
1982). Table II-l (in Appendix A) summarizes the results of
44 other studies, of which at least 39 reported higher rates
of cancer in urban and/or industrialized areas than in rural
and/or nonindustrialized areas.
So consistent are the findings of an urban-rural difference
in cancer risk that no one seriously questions their validity,
and most researchers speak of an "urban.factor." However,
when different researchers have tried to explain this urban
factor or other geographical differences disagreements have
arisen. Explanations of differences in terms of potential
risk factors in addition to air pollution include smoking pat-
terns, occupational exposures, population density, life-style,
socioeconomic differences, and/or several other factors. In
the following sections, we review the evidence for air pollution
as a factor associated with geographical variations in cancer
rates.
11-51
-------
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2. Air Pollution as Factor in Geographical Variation in Cancer Rates
It is a plausible hypothesis that air pollution is respons-
ible for some fraction of the urban factor or other geographical
variations in cancer. As discussed in Chapter III, the urban
atmosphere contains many chemical compounds, several of which
are known to increase the risks -of cancer among persons exposed
to them in the work place or via personal exposure. Many other
chemicals found in ambient air are known to cause cancer in
experimental animals, and mixtures of pollutants extracted
from ambient air have been found to be carcinogenic and mutagenic
in experimental tests. The issue to be addressed is whether
exposure of the general population is sufficient to lead to
significant increases in cancer risk. This section of the
report reviews the epidemiologxcal evidence on this question—
i.e., whether the effects that may exist are large enough to
be detected against the variations in cancer rates imposed
by other factors. Quantitative estimates of the possible mag-
nitude of the contribution of air pollution are discussed in
Chapter IV.
Table II-l (in Appendix A) summarizes the results of 44 studies
in which geographic patterns of rates of lung cancer and other
cancers have been compared to geographic differences in air
pollution and other risk factors. The most significant of
these studies are also summarized and discussed in the text.
In a number of studies, various measures of air pollution have
been reported to be correlated with the geographic distribution
11-54
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DRAFT
of lung cancer, and these results are consistent with the hy-
pothesis that air pollution is a factor. However, each indi-
vidual study has had limitations that preclude a definitive
test of this hypothesis. These limitations are also noted
in Table II-l, and are discussed in the text.
The most common problems with roost of these studies is
the inability to control fully for factors that may confound
or interact with ambient air pollution, such as industrial
air pollution, cigarette smoking, or other personal exposures.
As a result, the role of several factors known to be associated
with cancer cannot be fully separated out to account for the
"urban factor" in any individual study. Accordingly, scientific
judgment on this issue has to be made on the basis of the weight
of the evidence provided by a number of different studies in
which separation of these factors can be made. In this section,
we examine the potential differences in possible confounding
factors and their relationship to observed geographical patterns
of cancer incidence and mortality.
a. Smoking
Many of the studies of geographical variations in cancer
summarized in Tables II-l and II-3 did not take into account
possible differences in smoking habits between the study and
comparison populations. As a result, urban/rural differences
in smoking patterns cannot be ruled out in these studies as
a possible explanation of the urban factor. As mentioned in
Chapter I and Chapter II.B, however, there are a number of
11-55
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ways in which smoking may interact with air pollution or other
factors. When data on smoking habits were taken into account,
smoking has usually been treated as a confounding factor. If
there are synergistic interactions between smoking and another
factor, controlling for the effect of smoking as a confounding
factor would tend to overestimate the role of smoking and under-
estimate the role of any factor with which it interacts. Control-
ling for smoking tends to submerge the portion of cancers clue
to the interaction into the portion due to smoking acting alone
(Walker 1981). Smoking was taken into account in several studies,
however, and the corrected residual urban lung cancer rates
were higher than those in rural areas (Dean 1966, Stocks and
Campbell 1955, Dean et al. 1977, 1978, Hammond and Garfinkel
1980, Haenszel et al. 1962, Haenszel and Taeuber 1964, Buell
and Dunn 1967). The main scientific issue to be discussed
in reviewing these studies is whether the ways in which smoking
was taken into account were sufficiently complete and precise
to rule out smoking as a complete and sufficient explanation
of the urban/rural difference (see Doll and Peto 1981).
The simplest, and possibly best, way to control for the
effects of smoking is to limit the analysis to data on cancer
in nonsmokers. One of the earliest available urban/rural com-
parisons of cancer rates has recently been presented by Logan
(1982), who summarized .and republished the results of a mortality
survey conducted in England in 1881. A breakdown of comparative
mortality by occupational status and by large districts yielded
11-56
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DRAFT
the following data on cancer rates (standardized per 1,000
cancer deaths in the total population):
All males 47
Occupied males 44
in London 59
in industrial districts 48
in agricultural districts 40
A similar survey conducted in 1901 led to similar results,
with a ratio of 1.69 between cancer rates in London and in
agricultural districts. These data are important because they
refer to a period long before cigarette smoking became widespread;
hence, the urban/rural differential cannot have been signifi-
cantly affected even by passive smoking. (However, there was
no control for occupation or other urban factors, and the reli-
ability and completeness of diagnosis and data collection is
not clear.)
Haenszel et al. (1962) and Haenszel and Taeuber (1964)
obtained smoking and residence histories for a 10% sample of
all lung cancer deaths in white females in the United States
in 1958 and 1959, and for a 10% sample of all such deaths in
white males in 1958. These data were compared to such informa-
tion from a very large sample of the general population. Because
of the large sample sizes, these studies provide the best avail-
able information on lung cancer by location of residence in
nonsmokers (individuals who had never smoked). Furthermore, it
is possible to control -for the effects of migration by restricting
attention to lifetime residents of either rural or urban areas.
11-57
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DRAFT
TABLE II-4
AGE-ADJUSTED LUNG CANCER RATES OF INDIVIDUALS
WHO HAD NEVER SMOKED BY LOCATION OF LIFETIME RESIDENCE
Males
Location
of Lifetime
Residence
Urban
Rural
Lung Cancer
Mortality
Rate/100,000
12.5
3.9
Relative
Risk
3.2
1.0
Females
Lung Cancer
Mortality
Rate/100,000
8.4
5.0
Relative
Risk
1.7
1.0
SOURCE: Haenszel and Taueber 1964, retabulated by Pike and
Henderson 1981
The results of this comparison are presented in Table II-4.
Pike and Henderson (1981) suggested that the urban/rural ratio
in men is spuriously high, because the lung cancer rate for
rural men was actually lower than that in rural women. However,
even the ratio in women is significantly higher than unity.
Shy and Struba (1982) summarized the results of six other
studies in which lung cancer rates in nonsmokers were stratified
according to location of residence. Another set of data is
available from the study of Dean et al. (1977, 1978). These
data are summarized in Table II-5. Five of these studies (Stocks
and Campbell 1955, Dean 1966, Buell 1967, Hammond and Hova 1958,
and Dean et al. 1977, 1978) showed a marked urban excess of
lung cancers in nonsmokers, whereas two (Hitosugi 1968, Cederlof
et al. 1975) did not. A general problem in interpreting these
11-58
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DRAFT
TABLE II-5
URBAN/RURAL DIFFERENCES IN LUNG CANCER
MORTALITY RATES IN NONSMOKERS
Study, Data Years,
Age of Population
Areas of
Residence
Lung Cancer Mortality
Rates per 100,000
Nonsmokers
Stocks and Campbell (1955)
1952-54
Ages 45-74
Dean (1966)
1960-62
Ages 35+
Hitosugi (1968)
Ages 35-74
Buell (1967)
Age-standard!zed
Hammond and Horn (1958)
1952-56
Age-standard!zed
Cederlof et al. (1975)
1963-73
Age-standardized
1. Urban Liverpool 131
2. Mixed 0
3. Rural 14
Ratio 1:3 9.3
1. Inner Belfast 36
2. Outer Belfast 40
3. Other Urban 21
4. Rural Districts 10
Ratio 1:4 3.6
1. High pollution 4.9
2. Intermediate pollution 3.8
3. Low pollution 11.5
Ratio 1:3 0.4
1. Los Angeles 28
2. San Francisco Bay area 44
3. All other counties 11
Ratio (1+2):3 3.3
1. US cities 50,000+ 14.7
2. US towns 10,000-50,000 9.3
3. US towns <10,000 4.7
4. Rural areas 0.0
Ratio 1:4 X
Males
1. Large cities 0
2. Other towns 10
3. Rural areas ]L6_
Ratio 1:3 0
Females
1. Large cities 3
2. Other towns 10
3. Rural areas 16_
Ratio 1:3 0
11-59
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TABLE II-5 (continued)
Lung Cancer Mortality
Study, Data Years, Areas of Rates per 100,000
Age of Population Residence Nonsmokers
Dean et al. 1978 Males
1. Eston 60
2. Stockton 56
3. Rural areas 35
Ratio 1+2:3 1.7
Females
1. Eston 15
2. Stockton 19
3. Rural areas 20
Ratio 1+2:3 0.85
11-60
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DRAFT
data is the low frequency of lung cancer in nonsmokers, which
resulted in small numbers of cancer cases (see discussion above),
and the wide variability in reported nonsmoker rates from study
to study. Doll and Peto (1981: Appendix E) have drawn attention
to variations in estimates of lung cancer rates in nonsmokers,
which they attributed to confusion in some studies between
ex-smokers and lifelong nonsmokers. However, the study of
Haenszel and Taeuber (1964) was not subject to these limitations,
because it was based on a large sample of lifelong nonsmokers.
Hence, this study (Table II-4) provides the most compelling
evidence for an urban/rural difference independent of smoking.
In evaluating the studies of geographical patterns of
cancer rates in smokers, it is important to consider first
whether urban-rural differences in smoking patterns do indeed
exist and, if so, whether such differences have been of suffi-
cient magnitude to explain the observed excesses in urban cancer
mortality. It is generally agreed that cigarette smoking first
became prevalent in cities (Doll 1978, Doll and Peto 1981,
Wilson et al. 1980). There are very few quantitative data,
however, on differences in the proportions of individuals who
smoke or the number of cigarettes smoked. Doll (1978) referred
to a survey done by the Tobacco Research Council, which indicated
that in 1970 men and women residing in "conurbations" smoked
twice as many cigarettes as men in "truly" rural parts of Great.
Britain. A 1955 national survey in the United States (Haenszel
et al. 1956) also indicated that differences existed between
11-61
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DKAI-1
urban and rural-farm residents (see Figure II-l). Doll and
Peto (1981: footnote 37) cited without reference a survey
conducted by Fortune magazine in 1935, which
...found the respective percentages of men and women
who smoked any form of tobacco to be 61 and 31%
in large cities, as against 44 and 9% in rural areas.
Since many rural men smoked only pipes and/or cigars
(which have relatively much less effect on lung
cancer than cigarettes), the urban-rural differences
between the percentages who smoked cigarettes between
World Wars I and II were probably very marked among
the young of both sexes.
More recent data (Table II-6) indicate that the percentage
of farm workers who are current, regular cigarette smokers
is similar to that of white-collar workers (DHEW 1979). However,
a higher percentage of blue-collar workers (craftsmen, opera-
tives, and nonfarm laborers) is classified as current regular
cigarette smokers. Also, men smoke more than women, although
this difference is not as great as it was 20 years ago (USDHEW
1979), and many of the cigarettes advertised specifically for
women contain less tobacco than the average cigarettes and
are often also relatively low in tar. Current cigarettes; contain
substantially less tobacco per cigarette than did earlier cig-
arettes.
To consider whether these differences in the prevalence
of smoking are likely to account for observed urban/rural differ-
ences in lung cancer mortality, we can follow the approach
of Schlesselman (1978). To do this calculation, we assume
that the relative risks of lung cancer mortality among males
were 12 for current or occasional smokers and 6 for ex-smokers.
11-62
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DRAFT
FIGURE II-l
PERCENTAGE OF PERSONS 18 YEARS OF AGE AND CURRENTLY SMOKING
CIGARETTES REGULARLY, BY SEX, WITH ADDITIONAL DETAIL ON CURRENT
DAILY RATE, FOR URBAN, RURAL NONFARM, AND RURAL FARM POPULATION
IS
ylor ftm*k*f«
30 45
6O
Rural
«**•"
lural nM|.,m
SOURCE: Haenszel et al. (1956), Figure 13, p. 30
11-63
-------
TABLE II-6
ESTIMATES OF THE PERCENTAGE OF CURRENT,
REGULAR CIGARETTE SMOKERS, ADULTS AGED 20 YEARS AND OVER,
ACCORDING TO FAMILY INCOME, SELECTED OCCUPATION GROUPS,
AND MARITAL STATUS, UNITED STATES, 1976
Category
Male
Female
1.
2.
3.
Family income
Under $5,000
$5,000 to 9,999
$10,000 to 14,999
$15,000 to 24,999
$25,000 or more
Occupation groups
White collar
Professional, technical,
and kindred workers
Managers and administrative.
non-f arm
Sales workers
Clerical and kindred workers
Blue Collar
Farm
Currently unemployed
Not in labor force
Marital status
Never married
Currently married
Widowed
Separated
Divorced
42.5
42.5
42.5
40.4
34.7
36.6
30.0
41.0
39.9
40.4
50.4
36.9
56.8
32.9
40.1
41.1
32.6
63.3
59.9
33.5
32.5
32.5
33.0
35.1
34.3
29. ,1
41. ,6
38.1
34.8
39, .0
31.3
40.0
28.2
28.3
32.4
20.4
45.1
54.8
Craftsmen and kindred workers, operatives including
transport, non-farm laborers
SOURCE: USDHEW 1979, p. A-16
11-64
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DRAFT
(derived from data in USDHEW 1969, Chapter 5, Table 1). These
assumptions are likely to overestimate the relative risks because
they are similar to the values reported for male veterans (Kahn
1966), whereas Haenszel et al. (1956) found that veterans smoked
more than males in the general population in all age categories.
For women, we assumed that the relative risks for current or
occasional smokers and for ex-smokers were 4.4 and 2.2, respec-
tively. These too are probably an overestimate. For the pro-
portions of smokers we used the data on whites of Haenszel
et al. (1956), broken down by urban, rural nonfarm, and farm
categories (Figure II-l). We weighted the rural categories
according to their relative proportions in the U.S. population
in 1960 (U.S. Bureau of the Census 1980, Deare 1981).
Using Schelesselman1s (1978) Table 1, we obtained estimates
of the urban/rural ratios in lung cancer rates that would be
expected to result from 1955 differences in the prevalence of
smoking, in the absence of any other urban/rural differences
in risk factors. These estimates are presented in Table II-l,
and are much smaller than the observed ratios tabulated in
Table II-2. (The comparison is not precise, because the observed
ratios are for the period 1950-69, whereas the smoking data
are for 1955.)
There is a problem with the use of the Schlesselman approach,
however. This formula for estimating spurious (confounding)
effects is derived from the assumption that the several effects
act independently. As discussed earlier—and in view of the
11-65
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TABLE II-7
ESTIMATED RELATIVE RISKS OF LUNG CANCER MORTALITY
EXPECTED FROM DIFFERENCES IN THE PREVALENCE OF SMOKING
IN 1955 BETWEEN URBAN AND RURAL POPULATIONS
Observed Urban/Rural Ratio
(adjusted for age but not
for smoking)
Expected Urban/Rural Ratio
(based on differences in
smoking between urban and
rural residents)
Men 1.89 (See Table II-2)
Women 1.64 (See Table II-2)
1.06
1.15
multistage theory of cancer causation—this is not likely to
be true. In the presence of interactions, the Schelesselman
formula will tend to overestimate the contribution of the con-
founder (in this case, smoking), but the precise contribution
of the confounders to an apparent association cannot be calcu-
lated.
In addition to differences in the proportion of smokers
and in the number of cigarettes smoked, Doll and Peto (1981)
have drawn attention to the potential importance of other char-
acteristics of smoking behavior:
The reasons for uncertainty deserve some detailed
discussion, for if they are overlooked a misleading
impression of the hazards of air pollution may be
engendered. The key observation is that lung cancer
risks among cigarette smokers in middle and old
age depend very strongly on the exact age at which
cigarette smoking began. For example, delay of
the onset of cigarette smoking in the late teens
or early twenties by just a couple of years may
reduce the risk of lung cancer at age 60 or 70 by
as much as 20% (see text-fig. El on page 1292).
Therefore, lung cancer risks in cities and in rural
11-66
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DRAFT
areas depend strongly not only on what old people
now smoke, but also on what they smoked in early
adult life half a century or so ago. If cigarette
smoking by young adults was somewhat more prevalent
(in terms of percentages of serious cigarette smokers
or numbers of cigarettes per smoker) in cities than
in rural areas during the first half of this century,
this alone would engender a substantial excess of
lung cancer today when cigarette-smoking city dwellers
are compared with cigarette-smoking country dwellers.
The smoking of substantial numbers of cigarettes
was an extremely uncommon habit in all countries
in about 1900, while by 1950 it had become common
throughout the developed world.
While any new habit is in the process of becoming
adopted by society (e.g., the use of various drugs
today), it is likely that its prevalence among young
adults will be greater in cities than in rural areas.
In appendix E we discuss in detail the effects of
differences in cigarette usage in early adult life
on the lung cancer risks many decades later among
men who would all, in later life, describe themselves
as "long-term regular cigarette smokers of one pack
of cigarettes per day." Because of such effects,
one must anticipate, even if air pollution were
completely irrelevant to the carcinogenicity of
cigarettes, to find that urban smokers now have
greater lung cancer risks than do apparently similar
rural smokers, at least in studies of populations
who still live in the type of area (urban or rural)
where they grew up. This should, of course, also
hold in countries other than the United States,
and it is noteworthy that urban-rural differences
in countries such as Finland and Norway where the
cities have not been heavily polluted are of a similar
size to the urban-rural differences in Britain and
the United States.
(pp. 1246-1247)
Doll and Peto also drew attention to effects of the amount
of each cigarette that is smoked and the depth of inhalation
(Appendix E). However, few data are available to test their
hypothesis that urban/rural differences in age at starting
smoking may have contributed substantially to urban/rural differ-
ences in lung cancer mortality.
11-67
-------
Haenszel et al. (1956) concluded that no important differ-
ences existed between urban and rural populations in age at
starting smoking. The data of Haenszel et al., collected in
1955, are presented in Table II-8, and show no important dif-
ferences between urban, rural nonfarm, and rural farm residents
in the age distribution of starting smoking in any cohort of
either sex.
In contrast to this, Weinberg et al. (1982) surveyed smoking
habits in two areas of Allegheny County, Pennsylvania, and
found substantial differences in this and other characteristics
of smoking (Table II-9). These data support Doll and Peto's
hypothesis that these characteristics of smoking vary in parallel
with the prevalence of smoking. However, the two areas in
Weinberg et al. were not urban and rural, but urban and inner
suburban, and they were not an unbiased measure of geographical
differences in patterns of smoking, because they were selected
on the basis of having the highest and lowest rates of lung
cancer in the county. Thus, data of Weinberg et al. appear
to reflect socioeconomic differences in patterns of smoking
and do not necessarily conflict with those of Haenszel et al.
Dean et al. (1977, 1978) investigated patterns of smoking in
urban and rural areas of northeastern England, obtaining data
for lung cancer cases and controls on age of starting smoking,
number of cigarettes smoked, types of cigarette, and inhaling
habits. The results, reproduced in Appendix H, show no important
differences between urban and rural areas in any of these aspects
11-68
-------
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of smoking behavior except the number of cigarettes smoked.
Correspondingly, Dean et al. found that the urban/rural risk
ratios did not change greatly when these factors were controlled
for (independently or together). The data of Haenszel et al.
(1956) and Dean et al. (1977, 1978) thus provide strong evidence
against Doll and Peto's suggestion that these factors signifi-
cantly distort urban/rural ratios in cancer rates.
Nevertheless, it would be desirable to calculate the likely
contribution of urban/rural differences in age at starting to
smoke on the urban/rural differential in lung cancer mortality.
However, to do so would necessitate combining data that are
not strictly comparable. For a rough theoretical calculation,
we use the generalization of Peto (1977) that the incidence
of lung cancer is proportional to the 4th power of the duration
of exposure to cigarette smoke. Then, for two groups of men
who started smoking at ages 17 and 21, and whose smoking habits
were otherwise similar, the incidences of lung cancer at age
65 would be in the ratio (65-17)4/(65-21)4, or 1.416. This
figure is consistent with data on U.S. Veterans, summarized
by Doll and Peto (1981: Figure El). Incorporating this ratio
into the calculation summarized in Table II-7, we obtain an
estimate of 1.48 for the urban/rural ratio that would be expected
on the basis of the observed differences in prevalence of smoking
in 1955, combined with an assumption that the mean age of starting
to smoke was 21 in rural areas and 17 in urban areas, in the
absence of urban/rural differences in other risk factors.
11-71
-------
Although this calculation involves a number of more or less
doubtful assumptions, it suggests that the hypothesized differ-
ence in mean age at starting would have to have been much greater
than 4 years to account for the observed urban/rural differences
in cancer frequency. Although Table II-9 indicates a difference
of about 4 years between residents of two districts in one
county, Table II-8 does not indicate a systematic difference
of even 1 year between urban and rural areas.
The most detailed and comprehensive attempt to control
for urban/rural differences in cigarette smoking habits is
that of Dean et al. (1977, 1978), already referred to above.
The primary objective of the study was to "determine the changes
that had occurred in mortality from lung cancer and bronchitis
since 1963 and to see how far these were related to changes...
in the smoking habits of the population and in air pollution
levels." Dean et al. compared data on a sample of 616 males
and 150 females who had died from lung cancer in Cleveland
County, England, between 1963 and 1972, with data on 2,666 living
males and 3,039 living females aged over 35 and interviewed
in 1973. Data on the smoking habits and other characteristics
of the lung cancer victims were obtained from relatives and
from hospital records; data on the living samples were obtained
directly by interview. In addition to a number of characteris-
tics of smoking habits,^ data were obtained on social class,
occupation, exposure to dust or fumes, location of residence,
and a number of other variables. Data on air pollution were
11-72
-------
DRAFT
used to classify locations of residence as areas of high, medium,
or low pollution even within the areas classified as urban. For
analysis, data were stratified by age and various combinations
of other variables, and age-adjusted relative risks were calculated
by maximum likelihood methods.
The major conclusions of Dean et al. were:
...after standardizing for age and smoking habits,
and after adjusting for differential population
movements in the three pollution zones, male residents
living at addresses within Stockton classified as
having high smoke and sulphur dioxide pollution
had over twice the relative risk of dying of lung
cancer as had residents at other addresses. An
excess mortality, based on far smaller numbers of
deaths, was also found for females.
Secondly, ... only a small part of the marked
excess lung cancer mortality rates [among residents
of urban areas] would be explained by [smoking pat-
terns] or because they tended to be of lower social
class.
Dean et al. attempted to standardize for amount smoked, age
at starting smoking, type of cigarettes smoked (plain or filter),
and inhalation patterns. They noted some anomalies in relation
to age at starting smoking, which they believed may be due
to errors in estimating the age at starting smoking by relatives
of deceased lung cancer patients who supplied the information.
However, they added:
...it seems unlikely that, had age of starting to
smoke been perfectly accurately assessed in the
decedents, it could have explained the urban/rural
mortality difference.
The third observation was that:
...between 1952/62 and 1963/72, the lung cancer
rates of men aged over 55 who were reported never
to have smoked increased significantly. This dif-
11-73
-------
ference, about three-fold, could not plausibly be
attributed to changes in standards of diagnosis.
Equally, it could not be explained in terms of current
exposure to pollutants as there has been a downward
trend in levels of all the pollutants studied between
these two periods. However this difference might
be explicable, at least in part, in terms of air
pollution if lifetime exposure to pollutants is
of importance, as due to the fact that some of the
sources of pollution in the area have existed only
for 50 years or less, older people in 1963/72 may
have had a greater life-time exposure than people
of similar age in 1952/62.
...we feel that, taking the facts together in combina-
tion it seems reasonable to conclude that air pollution
makes a significant contribution towards lung cancer
mortality. This conclusion is consistent with the
results from Dean's study which showed that, after
standardising for age and smoking habits, male inhabi-
tants of Inner Belfast had 3.3 times the lung cancer
mortality, and 4.4 times the chronic bronchitis
mortality of inhabitants of truly rural areas of
Northern Ireland (Wicken 1966) .
...smokers of filter cigarettes have a markedly
lower relative risk of lung cancer and chronic bron-
chitis mortality than smokers of plain cigarettes.
In view of the national switch towards smoking filter
cigarettes, and in view of the reductions in air
pollution that have followed the Cle'an Air Act of
1956, it was to be expected that, in due course,
overall mortality from both these causes would de-
crease if trends in lung cancer mortality rates
are studied separately by age-group, the improvements
expected from the switch to filters and reduced
air pollution can be seen. In 35-39 year old males,
for example, national lung cancer rates have dropped
38% between 1956-60 and 1971-75, and increases can
now only be seen in men over 70. Male bronchitis
rates show an even more marked improvement, with
a 30% reduction in overall death rate between 1968
and 1975 and rates declining at all ages except
in men 70 or over where they have levelled off (Todd
et al. 1976). Lee (1977) has calculated, using
Peto's formula... that even in the age groups at
which mortality rates are still rising, the rises
are markedly less than would have been expected
based only on knowledge of distribution of duration
of smoking habits, and ignoring the switch to filters
and the reduction in air pollution levels. Of course,
if standards of diagnosis of lung cancer are still
11-74
-------
DRAFT
improving ...then the benefits of the switch to
filters and the reduction in air pollution are even
greater than the data suggest.
The major conclusions of the study by Dean et al. (1978)
are summarized in Table 11-10. After standardizing for age,
smoking classification, and age at starting to smoke, urban/rural
ratios in lung cancer mortality were 1.50-2.02 for males and
1.46-1.77 for females. Other analyses in the paper by Dean
et al. (1978) show that these urban/rural ratios were not strongly
affected by differences in the type of cigarette smoked (filter
or nonfilter) or by the depth of inhalation, and were not strongly
affected by differences in social class. Moreover, there were
significant correlations of lung cancer frequency with measured
air pollution levels within the urban area.
This study is of particular importance because it controlled
simultaneously for so many aspects of cigarette smoking behavior.
It has two major limitations. First, although data were col-
lected on occupation and on occupational exposure to dusts
and fumes, these factors were not controlled for in the analysis.
Standardization for social class probably controlled indirectly
for some of the effects of occupational exposure, at least
within the urban areas, but a rigorous analysis would be needed
to establish this. Second, the data on smoking habits and
other characteristics of decedents were collected primarily
from surviving relatives, and hence are subject to bias in
relation to those collected directly from the living controls.
The authors discussed this source of bias and presented evidence
11-75
-------
DRAFT
TABLE 11-10
RELATIVE RISK OF MORTALITY FROM LUNG CANCER,
STANDARDIZED FOR AGE, SMOKING CLASSIFICATION,
AND AGE AT STARTING TO SMOKE, 1963-1972
Area Males Females
Eston 2.02 1.77
Stockton 1.50 1.46
Rural districts 1.00 1.00
SOURCE: Dean et al. (1978)
that it was not great. In addition, the bias is likely to
have existed in both urban and rural areas, so that the urban/
rural ratios may not have been seriously affected.
One study of two geographic areas in Allegheny County,
Pennsylvania, which were selected for study on the basis of
substantially different lung cancer incidence rates in white
males, found that the high risk area had more men who smoked
and that these men started smoking at an earlier age (Weinberg
et al. 1982; see Table II-8). The authors calculated that
the combination of these factors accounted for almost of all
of the difference observed between the two areas. Their com-
putations led to the conclusions that 90% of male lung cancers
in the "high" area were to be attributed to cigarette smoking.
However, they used an unusually high figure for the risks of
heavy smokers, which may have inflated this estimate, and they
did not take interactions into account. Moreover, several
11-76
-------
DRAFT
other factors, such as the proportion of industrial workers,
and at least one pollution measure—particulate dustfall—showed
equally large differences in the same direction as did the
cigarette smoking. No correlation was shown with SO measures.
X
No comparisons of smoking habits and lung cancer rates were
made in women. The smoking data were gathered in a sample
survey and did not specifically apply to the men reported to
have developed lung cancer in the two areas. As pointed out
earlier, the study areas were selected specifically on the
basis of an observed large difference in lung cancer rates,
so the results cannot be generalized to make inferences about
the contribution of smoking to urban/rural or other regional
differences in lung cancer rates.
A related study was conducted in Denmark by Broch-Johnsen
(1982) in which the author came to the conclusion that "the
risk of lung cancer [in Copenhagen] is by 10-40% and 50-140%
higher than would be anticipated on account of smoking habits
in the youngest (1914-23) and oldest (1894-1903) generations,
respectively." While finding that smoking did not account
for the urban-rural differences, the author came to the conclu-
sion that "occupational factors are believed to have a greater
contribution to the urban factor than diffuse environmental
factors... after elimination of smoking". This study is avail-
able in English only in abstract form, and a critical review
is not possible at this time.
11-77
-------
DRAFT
Doll and Peto (1981: footnote 39) briefly reported unpub-
lished data from their earlier study of mortality in male British
doctors (Doll and Peto 1976). Their results are summarized
in Table 11-11 and show a much smaller urban/rural ratio than
other studies that have controlled for smoking habits. However,
as Doll and Peto pointed out, all the doctors had been educated
in big cities and may have lived as children in areas different
from those they inhabited in 1951. The method of standardization
for smoking was not stated.
TABLE 11-11
LUNG CANCER MORTALITY IN MALE BRITISH DOCTORS,
STANDARDIZED FOR SMOKING AND AGE,
STRATIFIED BY LOCATION OF RESIDENCE
Location of
Residence in 1951
Conurbations
Large towns
(50,000-100,000)
Small towns (<50,000)
Rural areas
Expected
Deaths*
153.65
88.04
109.46
78.85
Observed
Deaths*
152
94
108
76
Ratio
0/E
0.99
1.07
0.99
0.96
*Period of observation unspecified
SOURCE: Doll and Peto 1981: footnote 39
In each study in which the confounding effects of smoking
were controlled, except for that of Doll and Peto (1981), urban
residents were found to be at increased risk of cancer even
11-78
-------
DRAFT
when differences in smoking habits were taken into account.
Summarizing these findings and pointing out the interaction
effects, Wilson et al. (1980) stated that most of the data
...agree that there may be a small increase in lung
cancer among [urban] nonsmokers due to air pollution;
this is at most half the total incidence among non-
smokers which is already small. The increase of
lung cancer among [urban] smokers due to air pollution
is 4 times greater than the increase among nonsmokers
and is statistically significant.
However, Wilson et al. (1980) did not present a statistical
analysis to support the last statement.
The last point made by Wilson et al. (1980), about the
greater association with air pollution in smokers, is of par-
ticular importance. The results of Haenszel et al. (1962),
Dean (1966), Dean et al. (1978) and Cederlof et al. (1975)
indicate that cigarette smoking and air pollution probably
interact synergistically. A possible mechanism for this apparent
synergism was demonstrated by Cohen et al. (1979), who found
that smoking inhibits the action of cilia in long-term dust
clearance from the lungs.
Interactions between smoking and air pollution would account
for some of the differences between men and women in patterns
of lung cancer. If interactions of this nature did occur,
then we should expect that larger urban/rural differences would
be seen for males, who smoke more than women and who generally
started smoking earlier. This has been observed in several
studies (see Tables II-2, II-3, II-4, II-5, and 11-10). Similarly,
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if such interactions did occur, urban/rural differences for
female smokers should be larger than those for female nonsmokers.
The increase in the urban/rural difference among women
smokers (relative to nonsmokers) expected on the basis of an
assumption of interaction, however, has not been consistently
observed. Haenszel and Taeuber (1964) reasoned that this may
be due to the relatively small proportion of female smokers
before the 1950's (this leads to large sampling variation in
estimated risks and slopes of the smoking class gradient).
They also noted that the problem of small numbers of women
smokers is compounded by the smaller "effective" exposures
among women smokers relative to their male counterparts (i.e.,
women don't inhale as deeply as men and tend to smoke low-tar
cigarettes and cigarettes with with less tobacco). The other
studies in which women's smoking habits were recorded (Dean
1966, Dean et al. 1978, Hitosugi 1968, and Cederlof et al. 1975)
suffer from similar problems. Of these studies, only the results
of Cederlof et al. (1975) are consistent with an interaction
effect among women.
b. Occupational exposure
Several investigators have also postulated that much of
the urban excess of lung cancer can be accounted for by exposure
to carcinogens in the work place. In some situations, studies
have provided support for this hypothesis. For example, an
excess of lung cancer deaths was observed among white males
in south central Los Angeles County during the years 1968-1972
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(Menck et al. 1974). Lack of a clear basis for smoking or
occupational factors to explain the excess led the authors
to conclude that ambient air pollution was the causative factor.
A later case-control study was undertaken (Pike et al. 1979)
and it was concluded that increased risks associated with occupa-
tion could account completely for the observed excess.
However, Pike et al. (1979) in fact found associations
between lung cancer and both smoking and occupational categories;
on the basis of these associations, they calculated that the
differences in smoking habits and occupations between the areas
of Los Angeles County originally studied by Menck et al. (1974)
would account for a relative risk of 1.26. This is smaller
than the relative risk of 1.40 originally observed by Menck
et al. (1974). Hence, there is still a portion of this differ-
ence that is unexplained by smoking and occupation. The sen-
sitivity of both studies was limited by the observation of
Pike et al. (1979) that most of the cases had migrated into
the area during the preceding 20-40 years.
The data of Hammond and Garfinkel (1980) also suggested
that occupational exposure may account for part of the urban
excess. The excess of lung cancer deaths in urban and rural
areas in their study was reduced when occupational exposure
(defined in the study questionnaire as exposure to dust, fumes,
gases, or X-rays) was taken into account. This reduction was
evident in almost every residence category. This definition
of occupational exposure is not precise, of course. The study
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population was composed of a larger proportion of whites, white-
collar workers, and better educated individuals than the U.S.
population as a whole, which could lead to an underestimate of
the effects of both air pollution and occupational exposure.
When lung cancer mortality versus location of residence is
plotted separately for occupationally exposed and nonoccupation-
ally exposed men, separate effects of both occupation and residence
are apparent (see Figure II-2). Hammond and Garfinkel reported
that these data were corrected for cigarette smoking.
Doll and Peto (1981) provided a quantitative interpretation
of these data, noting that after standardizing for smoking,
the mortality from lung cancer was only 14% greater in men
who gave a history of exposure to dust, fumes or mists (including
asbestos) than in men who did not. Since only 38% of lung
cancer deaths occurred in men who gave a positive history of
occupational exposures, Doll and Peto calculated that the total
contribution of these factors to the production of lung cancer
in the ACS population appears to have been 4.6%. However,
Doll and Peto pointed out three ways in which an estimate of
this kind could be too low: the diluting effect of random
errors, the possibility that the ACS population was biased
by the inclusion of proportionately few blue-collar workers,
and the possibility that undiscovered carcinogenic risks may
occur in industries in which there are no recognized dust,
mists, or fumes. Doll and Peto proposed (on the basis of admit-
tedly subjective and "stop-gap" methods of estimation) that
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FIGURE II-2
RATIO OF OBSERVED/EXPECTED LUNG CANCER DEATHS IN
MEN BY RESIDENCE AND OCCUPATIONAL EXPOSURE, 1959-19653
Ratio of
Observed/Expected
Deaths
1.4 1
1.3 —
1.2 —
1.1
1.0
0.9 —
0.8 —
Occupationally
Exposed
Rural
Areas
Not Occupationally
Exposed
Smaller Non-
Rural Places
Large City
Areas
(1,000,000 +)
aAdjusted for age and smoKing
SOURCE: Hammond and GarfinKel (1980), Goldsmith (1980)
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the fraction of lung cancer deaths ascribable to occupational
hazards in the U.S. in 1978 was about 15% in males and 5% in
females. At least in males, this fraction included some cases
also ascribed to cigarette smoking. However, Doll and Peto
did not discuss possible interactions with air pollution, and
did not discuss or estimate the contribution of occupational
factors to the urban/rural ratio, except to quote the opinion
of Hammond and Garfinkel (p. 1247).
The difficulty in separating occupational and air pollution
factors was also recognized by Greenberg (1979). He attempted
to determine the relative importance of different risk factors
for male lung cancer. He found that by adjusting air pollu-
tion indices to take into account wind direction and distance
from the air monitoring site, the relative contributions of air
pollution compared to occupation increased. He later concluded,
however, that the high degree of intercorrelation between high-
risk lung cancer indicators (smoking, air pollution, occupation,
etc.) makes it infeasible to pull apart the separate contribu-
tions made by personal, occupational, and local environmental
risk factors. Greenberg considered it likely that there are
interactions between air pollution, occupation, and smoking.
In a case-control study of white male lung cancer patients
from Erie County, New York, from 1957 to 1965, Vena (1982)
was able to study the effects of age, smoking, occupation,
and air pollution and their combinations. Air pollution was
stratified into pollution zones by means of air sampling data
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for particulates collected from 1961 to 1963 and by an historical
review of point sources. Exposure to air pollution was indexed
by the number of years of residence in a zone of high or medium
air pollution. Occupational exposure was defined as the number
of years in a job category with potential exposure to respiratory
carcinogens or with documented elevations in risk for lung
cancer. Smoking was defined in terms of years smoked, weighted
by four categories for amount smoked (less than 0.5 pack/day;
0.5-1 pack per day; 1-2 packs/day; and 2 or more packs per
day). Data on age at starting, type of cigarettes and degree
of inhalation were not available. Although misclassification
may have occurred and smoking may still be a confounding factor,
this study by Vena (1982) is among the most detailed available,
especially in that the simultaneous influences of smoking,
occupation, and smoking were assessed.
When exposure to air pollution was defined as exposure
to high or medium pollution for 50 or more years, occupation
as exposure in high risk jobs for 20 or more years, and smoking
as exposure for 40 or more pack years, it was evident that
occupation and probably air pollution interact with cigarette
smoking to modify its effect. Significant (p<0.05) age-adjusted
relative risks were observed for smoking (RR=3.30) air pollution
and smoking (RR=4.73), occupation and smoking (RR=6.37), and
all three combined (RR=5.71). When the data were stratified
by age to separate those born after the turn of the century
from those born before, the under 60 years of age category
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WFT
showed significant associations between cancer risk and each
of the three individual variables (smoking, occupation and
air pollution) and each of the combinations between variables.
The over 60 years of age category paralleled the associations
observed for the overall, age-adjusted relative risks.
When Vena (1982) adjusted the relative risks for age,
occupation, and smoking, he observed a small (cind nonsignificant)
unexplained lung cancer risk for the medium or high air pollution
areas (compared to the low pollution areas) of 1.03 for residence
of 30 to 49 years and 1.26 for residence of more than 50 years.
Vena (1982) cautiously interpreted this study as indicating
that air pollution should not be dismissed as a. risk factor
in lung cancer because of the apparent synergism of air pollution
with smoking and with the combination of smoking and occupation.
He concluded, however, that his findings do not support the
hypothesis that air pollution alone significantly increases
the risk for lung cancer.
Other investigators have reported their belief that occupa-
tion is not a major factor contributing to the urban excess.
Doll (1978) stated that occupational hazards were "...unlikely
to be a major factor as the known and suspected hazards...affect
only a small proportion of the total urban population." As
mentioned earlier, Blot et al. (1977) made much the same point,
noting that, if the higher cancer rates in petroleum counties
were the result of occupational exposure, the relative risk
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to these workers would have to be substantially higher than
the general population, but this has not generally been observed.
c. Migration
Concerns have been raised that migration can have the
effect of increasing the apparent geographic variability because:
(1) it may produce areas in which the age distribution of the
population differs considerably from the U.S. average, and
(2) persons who migrate are likely to have a different health
status from that of those who remain behind.
Mancuso (1976) reported that much of the differences in
lung cancer mortality rates that he found in Ohio came about
as a result of the very high rates observed in migrants to
Ohio from the rural areas of the southeast United States.
Blot and Fraumeni (1981) have recently reported that the lung
cancer mortality rates in the southeast now exceed those of
the northeast and Great Lakes states. Mancuso interpreted
his findings to imply that a prior initiating exposure was
more likely to have occurred to the migrants (in contrast to
sedents) and that later, promoting exposure then had a greater
effect on migrants than on life-long residents.
The first problem can be avoided when enough data are
available to calculate age-specific and age-adjusted mortality
rates. In the studies based on the mortality data for U.S. counties
compiled by the National Cancer Institute (e.g., Blot and Fraumeni
1976), appropriate standardization has already been performed.
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r-T
f" I
The second problem, the possibility of selective migration
into or out of an area, might be corrected for if detailed
statistics were available on duration of residence. By studying
only those individuals who have remained in an area for 20-30 years
a more accurate assessment of environmental effects could be
obtained. In most studies of urban/rural differences, such
data are generally not available. It is possible that a small
percentage of the urban/rural difference might be due to the
migration of chronically ill persons to areas (generally urban)
with better medical facilities, or migration of healthy individ-
uals out of these urban areas. Migration between geographic
areas, however, generally is expected to reduce the sensitivity
of geographical studies as the distinction between exposed
and unexposed is gradually lost. As such, the statistical
power of such studies might be grossly overestimated if migration
were not taken into account. The longer the latency period
of disease, the larger this dampening effect of migration is
likely to be.
As noted earlier, Polissar (1980) has estimated that 40-50%
of the relative excess risk is not reflected in the estimated
risk for most cancers when rates are compared between exposed
and unexposed counties and migration has taken place during
a 30-year latency period. This finding is consistent with
the results reported by, Haenszel et al. (1962), who found that
the urban/rural gradient for the standardized lung cancer mor-
tality ratios (adjusted for age and smoking) increased with
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the duration of residence. The role of urban air pollution
in explaining this trend, however, is unclear because the SMR
for urban residents declined with duration of residence, possibly
reflecting improved survival patterns of the less exposed persons,
or the initiation—promotion phenomenon suggested by Mancuso.
d. Population density and other factors
Demopoulos and Gutman (1980) labeled a series of cities
as "clean" and "dirty," based on a qualitative characterization
of the nature of the local industries but not on direct measures
of the nature or intensity of ambient air pollution. They
concluded that when areas with comparable population densities
were compared, general air pollution (i.e., in "dirty" cities)
and workplace exposure (in regions of heavy industry) were
not associated with cancer risks. This conclusion led them
to the speculation that much of the urban excess might be due
to higher population density. However, their designations
of "clean" and "dirty" cities were not related to any measured
distinctions between areas of low and high air pollution.
Their presumption that heavy industries should be more likely
to be associated with cancer risks than light industries may
not be true. Major carcinogenic hazards have been recognized
in a number of light and service industries. Thus their char-
acterization of "clean" and "dirty" cities is unsatisfactory
even as a surrogate measure of either air pollution or of occupa-
tional exposure. Among other problems with this study, no
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DRAFT
attempt was made to standardize for smoking or other risk factors,
and the basis for selecting the sample of cities was unclear.
Population density is strongly correlated with a number
of other factors and may represent a proxy measure of air pollu-
tion and a variety of other variables. In studying the relation-
ships between population density, vehicle density (as an indi-
cator of motor vehicle emissions), and total cancer mortality,
Robertson (1980) concluded that vehicle density rather than
some other correlate of population density is associated most
strongly with cancer mortality. Vehicle density, of course,
implies air pollution from burning fossil fuels in mobile sources.
Robertson found that the number of motor vehicles per square
mile does not increase linearly with population density, but
levels off in the more densely populated cities where puiDlic
transportation is often more readily available. He reported
that cancer rates do not increase linearly with city size but
do appear to be linearly correlated with motor vehicle density.
Robertson (1980) concluded that "motor vehicles appear to be
a substantial part of the 'urban factor' in cancer." However,
he failed to control for potential differences in several other
important factors (such as smoking, occupation, and migration).
Currently available data are insufficient to estimate the rel-
ative contributions of mobile sources and stationary sources
of air pollution. It is likely that in some areas the largest
source of conventional air pollutants is the automobile (e.g.,
Los Angeles) while in others, industrial sources are more
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DRAM
portant (e.g., Charleston, West Virginia). In their recent
review, Wilson et al. (1980) came to much the same conclusion.
However, the relative contribution of mobile and stationary
sources to atmospheric concentrations of carcinogenic air pol-
lutants is not known.
In studies where attempts have been made to control for
population density and other confounding factors, the correlation
between such variables as air pollution and population density
may seriously distort the estimated effects of air pollution.
There is some evidence that the onset of population-wide cigar-
ette smoking paralleled industrialization. If that were the
case, regression analyses that attempt to estimate effects
of air pollution may be distorted by controlling for factors
that are correlated with air pollution. Air pollution has
also been found to be inversely related to socioeconomic status
(SES) (Bozzo et al. 1979, Lave and Seskin 1977). Since low
SES groups (who are usually heavier smokers) are exposed to
higher pollution levels than high SES groups, the true effects
of air pollution are likely to be underestimated by controlling
for effects of SES and/or smoking.
F. Summary
This chapter summarizes epidemiological studies of cancers
in the human population and their relation to air pollution
and other factors. Section II.B introduces the four principal
types of epidemiological study and discusses issues that arise
in applying them to the cancer/air pollution problem. Although
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there is evidence that air pollutants may affect cancers at
a number of anatomic sites, only lung cancers have been studied
in sufficient detail for critical analysis. Air pollution
is a complex mixture of agents, and most available measurements
are of conventional pollutants which are unlikely to be carcino-
genic in themselves; furthermore, the use of a single component,
such as benzo[a]pyrene, as a surrogate measure of the carcinogenic
potential of polluted air may not be entirely satisfactory.
Significant exposure to some air pollutants occurs in indoor
environments, where monitoring data are scanty. The long latent
periods for human cancers mean that current cancers should be
associated with exposures in past decades, when some pollutants
were present at higher levels and others at lower levels.
The most pervasive difficulty encountered in the conduct and
interpretation of epidemiological studies is the control of
confounding factors, especially cigarette smoking. Other prob-
lems that arise include the interpretation of sex and racial
differences in patterns of cancer mortality, the insensitivity
of many studies, and the selection of appropriate comparison
populations.
Section II.C summarizes source-specific or "neighborhood"
studies. A number of studies have reported apparent elevations
in cancer rates in the vicinity of industrial facilities of
various types. Some of these studies were of the large-scale
"ecologic" type, whose results are usually regarded as no more
than suggestive. Most other studies in this category had sub-
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stantial limitations, including problems in identifying appro-
priate control populations, in controlling for smoking, occu-
pation, and demographic factors, and in verifying exposure.
The more persuasive evidence of this kind is the finding of
rare types of cancer characteristic of exposure to vinyl chloride
and asbestos near putative sources of these materials, and
the statistical association in several studies between lung
cancer rates and proximity to smelters and other facilities
handling arsenic compounds.
Section II.D summarizes several studies that suggest.that
migrants from one country to another with higher (or lower)
air pollution levels continue to experience cancer rates charac-
teristic of their native countries. However, the rigor of
the statistical comparisons of cancer rates is questionable,
and the differences were not related to specific data on exposure
to air pollution.
Section II.E summarizes urban-rural and other geographical
studies. Table II-l (Appendix A) tabulates 44 epidemiological
studies of cancers of the lung and other sites in human popu-
lations. In 25 of these studies, a statistical association
was reported between cancer rates and one or more (direct or
indirect) measures of air pollution, and most of the rest reported
excess frequencies of cancer in urban areas relative to rural
areas. Only five studies reported finding no association between
cancer rates and either urban location or measures of air pol-
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lution. However, all the studies were subject to various lim-
itations, which complicate their interpretation..
The most pervasive and difficult problem in these studies
is control for the confounding effects of cigarette smoking.
Ten studies of lung cancer rates in nonsmokers have shown rather
consistent urban-rural differentials in males, but not in females.
However, all but one of these studies were limited by small
sample size, and none was controlled for occupational exposures.
In a number of studies, urban/rural differentials and statistical
associations between cancer rates and air pollution remained
significant after attempts were made to control for the effects
of smoking, using data on smoking habits in cancer victims
or population groups. However, the completeness of the control
for smoking in these studies is disputed. Some scientists
have argued that differences in aspects of smoking such as
age at starting to smoke and depth of inhalation cannot be
controlled for. However, actual data on these aspects of smoking
do not confirm that they would contribute significantly to
urban/rural differentials.
Only a few studies have been controlled for the effects
of occupational exposures. One study that was so controlled
revealed significant urban/rural differentials in both occupation-
ally exposed and unexposed groups, after controlling for smoking.
Other studies have suggested interactions between effects of
occupation and air pollution.
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UKAH
III. EXPERIMENTAL EVIDENCE AND MONITORING DATA
A. Introduction
This chapter reviews and summarizes the evidence that
air contains substances capable of causing or contributing
to the incidence of cancer in humans. Monitoring studies have
shown that air contains substances known on the basis of human
and animal studies to cause cancer. In addition, extracts
of air pollution particulates have been shown to be both muta-
genic and carcinogenic in laboratory studies.
Air pollutants arise from both anthropogenic and natural
sources, such as vegetation, weathering, and fires. Air pollu-
tants of anthropogenic origin can be placed in three broad
categories: vapor-phase organic chemicals, such as volatile
emissions from industrial processes; particulate organic matter,
which includes products of fossil fuel combustion and vehicle
emissions; and inorganic substances, such as compounds of the
metals lead, nickel, and arsenic, and the mineral asbestos.
The amount of vapor-phase organics emitted in the United States
has been estimated to be 1.9 x 10 g/yr, with particulate
organics being one-fiftieth to one-tenth of this amount (Hughes
et al. 1980, citing Duce 1978). Estimates of the amount of
anthropogenic inorganic pollutants are difficult to make, because
of the wide variety of possible sources and the large contribu-
tion of natural sources to the levels found in ambient air.
Of the three categories of pollutants, however, the particulate
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OftAtf
fraction of air pollution has been subjected to the most investi-
gation and is of most concern for long-term human health effects.
This concern stems from the known biological activity of many
of the constituents of particulate matter, such as the polycylic
aromatic hydrocarbons (PAHs), and because particulate matter
occurs at high local concentrations around sources in populated
areas.
A sample of polluted air is a complex and dynamic mixture
that can contain over 300 compounds. It can consist of chemicals
in the vapor or gaseous phase, relatively pure aerosols or
particulates of specific substances, or heterogenous particular
aggregates of many substances. The relative distribution of
chemicals between the vapor and particulate phases is highly
dependent upon their source, their vapor pressure and polarity,
and the ambient air temperature. Although particulate matter
may be thought of as a collection of solid or liquid particles,
vapor-phase organics may be adsorbed under a range of conditions
into the particulate content of polluted air, changing their
chemical composition (Hughes et al. 1980). In addition, air
pollutants, especially reactive species such as NOX and ozone,
itself derived from precursor pollutants, can undergo photo-
chemical or spontaneous reactions to produce new compounds that
may have more or less biological activity than their precursors.
All these factors complicate the identification of the components
of polluted air and their relation to the biological activity
that is measured by in vivo or in vitro studies.
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An additional consideration in reviewing the experimental
evidence associating air pollution and cancer is the difficulty
in determining the substances and the levels to which people are
actually exposed. This difficulty stems, first, from problems
in sampling air for pollutants, and second, from the complicated
and largely uninvestigated processes through which inhaled
materials affect humans. One of the problems in sampling is
that, although some monitoring stations can sample air contin-
uously over long periods of time, most samples are limited
in the period of time over which they are obtained and therefore
may not represent all the pollutants in an area that result
from changing weather conditions and pollution sources. Also,
sampling is usually performed at roof level or close to a known
source of emissions; neither accurately reflects the air quality
at street level that most people experience. Although advances
have been made in the design of personal sampling devices to
provide more accurate samples of the air that people breathe,
most of the studies of the biological activity of air pollution
and its chemical characterization have used samples that were
limited in both time and location and therefore may not be
representative of the actual toxicity and content of ambient
air. In addition, determination of the effect of airborne
substances on human health must consider the physiological
processes that take place between the inhalation of a substance
and the ultimate site of its toxic effect. The effect of an
inhaled carcinogen depends on its distribution in the lungs,
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its retention and absorption, possible metabolism by lung tissue,
its distribution via the circulation, and the concurrent presence
of irritating substances. Some studies have investigated these
factors and are discussed below.
B. Experimental Evidence
Experimental evidence for the presence of carcinogens
in ambient air has been provided by both in vivo and in vitro
testing of extracts of airborne material. This testing, however,
has been limited to particulate material. Because of the volati-
lity, relatively low concentrations, and rapid degradation
of vapor-phase organic substances, no methods are currently
available for collecting of these chemicals from ambient air
and testing them in vivo or in vitro. The carcinogenicity
of these substances can be assessed by testing them in pure
form at high concentrations, and this type of evidence is dis-
cussed in the section on monitoring data. The basic approach
to determining the biological activity of airborne particulate
matter is to collect on filters the particulates that are sus-
pended in the air or released from an emission source, extract
this material with organic solvents, and apply the extract
to the test system.
The composition of these extracts depends on the chemical
and physical nature of the original particulates—specifically,
whether they were homogeneous, aggregates, or contained adsorbed
organic chemicals—and on the ability of the fractionation and
extraction system to solubilize the chemicals that are present.
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Because of this approach and the dilute nature of air pollution,
the quantity of material available for testing is usually limited.
Researchers have worked around this problem by either making
extracts of more readily available material, such as soot and
tar that condense from combustion emissions, or by using a
small number of animals in assay systems that are sensitive
to carcinogens. These systems include the painting of test
material on the skin of mice, injection into neonatal mice,
and instillation into the lungs of hamsters and rats. Alterna-
tively, researchers have tested extracts in cell cultures that
are capable of detecting chemicals that cause mutations or
cell transformation although they do not directly measure car-
cinogenic activity. Both phenonomena are considered predictors
of carcinogenic potential.
1. In Vivo Tests of Extracts of Air Pollution for Carcinogenicity
As mentioned above, the dilute nature of air pollution
limits the amount of material available for in vivo testing.
In the earliest studies, investigators prepared extracts of
soot, coal tar (a condensate resulting from the combustion
of coal under low oxygen conditions), and particulate matter
and applied them repeatedly to the skin of mice. In a review
of these studies, Shabad (1960) cited several investigations
in which skin tumors and adenomas of the lung were induced
by extracts of coal tar. Also, when dichloroethane extracts
of soot were painted on mice three times weekly, papillomas
(benign skin tumors) appeared after 10 weeks, metastasizing
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'RAFT
in 37% of the animals to sites in the lungs and lymph nodes
(Shabad 1960). Shabad also reported that extracts made from
airborne participates induced malignant tumors in 8% of the
test animals when the same protocol was used.
In another dermal application study, Hoffman (1964) applied
to the skin of female mice an acetone solution that contained
12.5% organic matter from an extract of polluted air that was
measured as having 20 yg of organic material per m . After
9 months, 23 of the 30 mice had developed multiple papillomas,
and 10 had carcinomas; after 3 more months of treatment, a
total of 19 of the mice had malignant tumors. Animals in a
group that were being concurrently treated with a solution
of a mixture of PAHs at a concentration equal to that of the
air extract had 4 tumors, half of which were malignant. Another
group painted with an equivalent amount of BaP did not develop
any tumors.
Gasoline engine condensate (GEC) and diesel exhaust conden-
sate (DEC) were examined for carcinogenicity in a skin-painting
study with female CFLP-mice (Misfeld 1980). In addition to these
materials, BaP and a mixture of 15 PAHs at the same proportions
as found in GEC were tested. Each material was tested at three
concentrations in 80 mice per concentration. GEC, DEC, BaP,
and the PAH mixtures all gave positive responses with positive
dose-response relationships. The largest response given by
GEC was 83% in the high concentration group. DEC gave a high
response of 13%. It was calculated that GEC was 42 times as
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DRAFT
potent as DEC, and the PAH mixture only accounted for 41% of
the GEC activity. Calculations indicated that BaP contributed
9.6% and 16.7% of the activity found in GEC and DEC, respectively.
Most recently, Nesnow et al. (1982) investigated the tumor-
initiating and tumor-promoting abilities of extracts of emissions
from automobiles with gasoline and diesel engines, from a coke
oven, from roofing tar, and from a residential furnace that
burned diesel fuel. The animals used were Sencar mice, which
have been bred for their sensitivity to dermally applied carcino-
gens and are widely used in studies of the mechanism of carcino-
genesis. The collected emissions were extracted with dichloro-
methane, which was removed by evaporation, and the resulting
material was applied as a solution in acetone in one or more
of four protocols in doses ranging from 100 to 10,000 yg/mouse.
Under the tumor initiation protocol, each dose was applied
once topically, followed after 1 week by twice weekly applica-
tions of the tumor promoter, tetradecanoylphorbol-13-acetate
(TPA). To determine the ability of the extracts to act as
complete carcinogens, samples were administered weekly for
50 weeks. Under the tumor promotion protocol, the mice were
treated with one dose of BaP and then weekly for 34 weeks with
the sample. To test for cocarcinogenic activity, both the
test material and BaP were applied initially, followed by TPA
twice weekly.
These studies indicated that BaP and extracts from emissions
of coke ovens, roofing tar, and one type of diesel-powered
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automobile were potent initiating agents. The emissions from
the other diesel automobiles and the gasoline engine automobile
showed some initiating activity. BaP, coke oven emissions,
and roofing tar emissions were also shown to be complete car-
cinogens. None of the diesel emissions from the automobiles
or furnace gave positive results in the complete carcinogenesis
assay; the authors hypothesized that this result may have been
due to the cytotoxic effect of these extracts when applied
chronically. BaP and coke oven and roofing tar emissions also
showed tumor-promoting ability; none of the diesel extracts
was tested in this protocol. Because of the positive results
for BaP in all the protocols, the authors considered that the
activity of the emissions extracts may have been due to their
BaP content. However, analysis of the samples for BaP and
comparison of these values to tumor-initiating ability indicated
that the BaP content did not account for all the activity of
the extracts.
Depass et al. (1982) have also recently reported results
of their skin-painting study. In this study, the initiating,
promoting, and complete carcinogenic activity of diesel exhaust
particulate (DP) and dichloromethane extracts of diesel exhaust
particulates (DCM) were examined using C3H strain mice. The
study was to end with the death of all mice, but the reported
interim results covered 714 days of treatment with mice still
living in most groups. The mice were treated with two concen-
trations of DP and four concentrations of DCM for the complete
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carcinogenesis study, one concentration of DP and two concen-
trations of DCM for the promotion study, and one concentration
of each for the initiation study. Along with the specific
control groups, there was a total of 18 different groups consist-
ing of 40 mice each.
In the study on complete carcinogenesis of DP and DCM,
only one tumor was found in a treated mouse. This mouse was
in the high-dose DCM group. Slight response was also seen
in the promotion study; one animal in each DCM dose group had
a squamous cell carcinoma, and a second low-dose DCM animal
had a papilloma. Three mice in the DP and DCM groups had tumors
in the initiation study. Tumors, however, were found in one
acetone-initiated control group mouse and two phorbol 12-myristate
13-acetate (PMA) initiated control group mice. PMA was used
as a promoting agent for the promotion study. The difference
in response between the studies of Depass et al. (1982) and
Nesnow et al. (1982) may have resulted from a difference in
the source of test substances, a difference in mouse strain
or sex, or a difference in treatment regimen.
Extracts of polluted air have also been administered to
test animals by subcutaneous injection. Hueper et al. (1962)
prepared benzene extracts of city air, concentrated them by
evaporation, and injected 1% (w/v) solutions into C3H or C57
mice monthly for periods of up to 2 years. This treatment
induced local tumors in 2-18% of the animals, the latency period
being from 9 to 24 months. These results were, however, dis-
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DRAFT
torted by substantial mortality in the test group because of
the toxicity of the extracts. Epstein et al. (1966) developed
a more sensitive assay, giving neonatal mice one to three injec-
tions of the test material during the 1st week of life and
sacrificing the animals up to 1 year later. Extracts of air
particulates still caused mortality in the test group, but
the survivors developed hepatomas, lymphomas, and solitary
and multiple pulmonary adenomas at rates significantly greater
than those for the control group.
In a later study, Rigdon and Neal (1971) collected air
pollutants in the vicinity of petrochemical plants, made benzene
extracts, and injected these once into 30- to 50-day-old CFW
mice. They observed the animals for up to 1 year, noting when
tumors appeared. The treatment induced as much as a 60% inci-
dence of local, nonmetastatic fibrosarcomas. This rate was
greater than that resulting from the injection of mice with
an amount of BaP equal to that in the extracts. This suggested
to the authors that multiple carcinogens or cocarcinogens were
present in the extracts.
Asahina et al. (1972) used Epstein's neonatal mouse assay
to test 10 fractions of an extract of New York City air., Sig-
nificant increases in the number of tumors, including pulmonary
adenomas and lymphomas, were found for four of the fractions.
More recently, Epstein-et al. (1979) reported a dose-response
relationship between total tumor incidence and the cumulative
total dosage of the extracts injected into mice. The extracts,
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which were found to contain PAHs, quinolines, and acridines,
induced solitary and multiple pulmonary adenomas and lymphomas
in both sexes and hepatocellular carcinomas in males.
More recently, Pott et al. (1980) collected airborne partic-
ulate matter from urban and rural locations, prepared organic
solvent extracts, and analyzed fractionated extracts for BaP
and other PAHs. The extracts were then injected subcutaneously
and chronically into mice in a range of doses based on BaP
content. Extracts with BaP contents of 0.37-1.1 yg induced
tumors at rates up to 30%, and a dose-response relationship
was seen with the fractions that predominantly contained PAHs.
Other fractions, containing primarily polar substances, had
some carcinogenic activity.
A few investigations have been performed to test the capa-
city of fractions of polluted air to induce cancer in lung
tissue. In these experiments, the test material was instilled
into the trachea of anesthetized animals from which it is easily
distributed into the lung. Bogovski et al. (1970) reported that
a benzene extract of oil shale soot containing 0.01% BaP induced
lung cancer in rats after this type of intratracheal instillation.
Mohr (1976) instilled a condensate of automobile exhaust into
the trachea of hamsters at 2-week intervals for 30 or 60 weeks.
The condensate, which contained a small amount of BaP (1.7 ug/ani-
mal), induced pulmonary adenomas in all the hamsters, a response
the author could not attribute to the BaP content alone. In
a similar study, Kommineni and Coffin (1976) applied a gelatin
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suspension of air particulates, BaP, or participates and BaP
to the trachea of hamsters once a week for 8 weeks. All three
groups showed progressive and severe inflammatory changes in
the lungs; the third group, which was treated with the particu-
lates and BaP, showed evidence of the formation of bronchial
polyps. In addition to these studies, researchers at the Health
Effects Research Laboratory of the U.S. Environmental Protection
Agency are completing studies of the effects of the long-term
inhalation of diesel exhaust in mice and hamsters (Pepelko 1980).
The studies of the biological activity of extracts of
air pollution in animals do not provide data that are directly
applicable to predicting health effects in humans. Differences
in the routes of exposure and the use of high concentrations
limit the extent to which the results may be extrapolated to
human exposures, while the toxic, noncarcinogenic, effects
of the extracts limit the sensitivity of the tests to detect
carcinogenesis. In summary, however, they do indicate that
ambient air, or materials released into air, contain compounds
that by themselves or acting together have the ability to induce
cancer in mammals.
2. In Vivo Studies of Irritant Effects of Particulates
The ultimate effect of an inhaled carcinogen, which may
be in the form of particles or adsorbed on particulate material,
depends on several interrelated factors: the distribution
of the carcinogen in the lungs, its retention and absorption,
and the concurrent presence of respiratory irritants.
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The size of a particle determines the extent to which
it penetrates the respiratory tract. In nasal breathers, parti-
cles from 12.5 nm to 2.5 ym in diameter are capable of penetra-
tion of the alveolar region of the lungs. Particles greater
than 2.5 ym in diameter are mostly removed in the nasal chambers,
and those less than 12.5 nm remain suspended in tidal air and
are exhaled (Kotin 1968, Shannon et al. 1974). Studies have
also shown that retention of particulate matter in the lungs
is greatest at 1.0 ym in diameter and falls off sharply for
sizes greater than 2 ym or less than 0.25 ym (Kotin and Falk
1963). For mouth breathing the size of particles deposited
in the alveolar region of the respiratory tract can be up to
10 ym. In addition, particles up to 15 ym may be deposited
in the tracheobronchial portion of the respiratory tract.
Clearance of very large particles in the alveolar region is
slower than for smaller particles (USEPA 1982). Polluted urban
air contains particles in the range of 12.5 nm-2.5 ym; particles
of this size are also produced by the burning of solid fuels
and are present in the exhaust of gasoline and diesel engines.
Particle size may also influence the rate and extent of elution
of carcinogenic chemicals from the particles on which they
are adsorbed. Falk and Kotin (1962) found that the lower size
limit for PAH release from particles in physiological conditions
in vitro was 100 nm in diameter. Therefore, particles from
100 nm to 10 ym in diameter are probably of the greatest biolo-
gical significance, because they can readily penetrate and
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be retained in the respiratory tract and adsorbed carcinogenic
substances can be released.
The role of the penetration and retention of particles
in the lungs in inducing cancer has been investigated in a
number of studies. Inhaled ferric oxide (Fe2o3) dust is an
example of particulate material that, although not carcinogenic
to laboratory animals by itself (Gilman 1962), enhances the
effects of known carcinogens. This observation was initially
made by Saffiotti et al. (1968, 1972a,b) in studies in which
ferric oxide particles and various carcinogens were concurrently
instilled into the tracheas of hamsters.
Feron et al. (1972) showed that the tumorigenic effect of
diethylnitrosamine in the hamster respiratory tract was increased
by a factor of 3 when instilled in hamsters with ferric oxide
particles in solution. This enhancing action of the ferric oxide
particles has been attributed to their ability to increase the
penetration and retention of carcinogenic substances that are
bound to them. This possibility was investigated by Sellakumar
et al. (1973), who reported that adhesion of fine particles
of BaP to equal-sized particles of ferric oxide was critical
for tumor induction by intratracheal instillation. Without
the physical adhesion to the ferric oxide dust, much higher
doses of BaP were needed to induce tumors in hamsters.
Henry et al. (1975) confirmed these results and, by micro-
scopic comparison of the lungs from the hamsters treated with
ferric oxide particles coated with BaP to the lungs of those
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administered a mixture of the dust and the carcinogen, determined
that the particles of the mixture were removed from the lungs
more rapidly. However, other studies have shown that the ability
of injections of the carcinogen diethylnitrosamine to induce
lung tumors in hamsters was increased by the tracheal instilla-
tion of ferric oxide particles (Montesano et al. 1970, Nettesheim
et al. 1975). These results suggest that the particles may
have a tumor-promoting effect in addition to enhancing carcinogen
penetration and retention.
In addition to ferric oxide, other particulates have been
shown to enhance the action of carcinogens. Studies have shown
this effect with BaP and particles of asbestos (Miller et al.
1965, Pylev and Shabad 1972), titanium oxide, aluminum oxide,
carbon (Stenback et al. 1976), and india ink (Pylev 1963).
The mechanism of these actions is unknown; Lakowicz and Hylden
(1978) demonstrated, however, that asbestos fibers increase
the lipid solubility of BaP, and hence could increase its cellular
uptake.
Respiratory irritants present in polluted air also may
increase the carcinogenic effect of airborne substances by
changing the function and structure of the respiratory epithelium
and increasing their retention. These irritants interfere
with ciliary activity and with the flow of the mucous stream.
Air pollutants that act as irritants to the lining of the respir-
atory tract include sulfur oxides, nitrogen oxides, ozone,
chlorine, ammonia, pollen, and allergens (Kotin 1968). Laskin
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et al. (1970) demonstrated in rats that simultaneous inhalation
of the respiratory irritant sulfur dioxide and the carcinogen
BaP resulted in the production of squamous cell carcinomas
of the lung. Experiments performed by Richters et al. (1979)
suggested that exposure to respiratory irritants also increased
metastasis to the lung. The authors injected melanoma cells,
which readily metastasize to the lung, into mice that had been
exposed for 10 weeks to an atmosphere containing nitrogen dioxide
at 0.4 ppm. At 10 and 21 days after infusion, the exposed
animals showed significantly more melanoma nodules in the lungs
than did the controls, which had breathed filtered air.
3. In Vivo Mutagenicity and Genotoxicity Testing
The mutagenicity and genotoxicity of air pollutants, most
notably diesel exhaust, have been studied in several animal
models. These in vivo tests are usually short term, and their
use of the whole animal is an obvious advantage over in vitro
assay systems. In addition, the test compound may be adminis-
tered by appropriate routes. These in vivo assays, however,
usually are less sensitive and quantitative than in vitro assays
where the cells come into direct contact with known amounts
of test compound.
In a series of genotoxicity studies on diesel and gasoline
exhaust, as well as coke oven and roofing tar emission, several
investigators used a variety of in vivo tests, which included
the sex-linked recessive lethal test on Drosophila melanogaster,
metaphase analysis, micronuclei assay, sperm morphology assay,
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DRAFT
sister chromatid exchange assay, chromosomal abnormalities
assay, and a liver foci assay.
Schuler and Niemer (1980) examined the effect of exposure
to Nissan diesel engine exhaust gases in producing sex-linked
recessive mutatations in Drosophila melanogaster. The flies were
exposed to a five-fold dilution of exhaust gases for 8 hours.
The exposed male Oregon-R strain flies were mated with Muller-5
strain females. Two broods of the F- generation and one F^
generation brood were examined for sex-linked recessive muta-
tion. No mutagenic activity was observed. The authors pointed
out that a more thorough assessment would necessitate testing
at higher exposure doses.
Pereira et al. (1980a) examined the genotoxicity of diesel
engine exhaust in female Swiss mice using metaphase analysis
and a micronuclei assay. The mice were exposed for 8 hours
per day, 5 days per week, for 1, 3, and .7 weeks. The exhaust was
diluted 18-fold and contained a final particulate concentration
of 6-7 mg/m . Bone marrow cells were used for the metaphase
analysis, which involved examination of cells in metaphase.
This assay can identify compounds capable of breaking chromosomes
and chromatids. Only the animals exposed for 7 weeks were
examined, and no effects were observed. The micronuclei assay
was done on animals at all three exposure periods. Polychromatic
erythrocytes in bone marrow were examined. This assay can
also detect chromosome breakage and disruption of the spindle
apparatus. At all three exposure periods, no significant increases
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in micronuclei were found. BaP was used as a positive control
in these studies and was given at a dose approximating that
expected in the diesel exhaust. In both assays BaP was also
negative, suggesting that the sensitivity of these assays was
too low for the exposure conditions.
Pereira et al. (1980b) also conducted a micronuclei assay
using Chinese hamsters exposed to diesel exhaust for 8 hours
per day for 6 months. In this study they found a significant
increase in the percentage of polychromatic erythrocytes with
micronuclei. The difference found between the mouse and hamster
study was not explained. In the same study with hamsters,
chromosomal abnormalities in bone marrow cells were also examined.
As in the mouse metaphase analysis, no increase in chromosomal
abnormalities was observed.
In addition to the other two assays, Pereira et al. (1980b)
conducted a sister chromatid exchange (SCE) bioassay with the
bone marrow from the exposed hamsters. SCE are produced because
of DNA lesions induced by mutagens and may be related to recombi-
national or postreplicative repair of DNA damage. In this
study there was no significant change in the frequency of SCE.
There was, however, a decrease in the mitotic index. Guerrero
et al. (1980) examined SCE in lung cells of Syrian hamsters
treated by either intratracheal instillation of one dose of
diesel exhaust particles at 0-20 mg/animal or by inhalation
exposure to diesel exhaust with a 6 mg/m particle concentration
8 hours a day for 3 months. Twenty-four hours after the intratra-
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DRAFT
cheal instillation or following the 3-month inhalation exposure,
the animals were killed, and primary lung cell cultures were
established. When the cultures had colonies of 50 cells or
more, SCE analysis was performed. A positive dose-response
relationship was found for intratracheal doses between 0 and
20 mg/animal. Animals exposed by inhalation to diesel exhaust
had no increase in SCE. When the total amount of particles
that were expected to be inhaled by the latter group of animals
was calculated and compared to the amount administered by intra-
tracheal instillation, it was found to be below the levels
that gave positive responses by intracheal instillation.
It has been shown that exposure of mice to known mutagens
and carcinogens leads to an increase in the frequency of abnormal
sperm. Pereira et al. (1980c) exposed male strain A mice to
18-fold diluted Nissan diesel exhaust with 6 mg/m particle
concentration for 31 or 39 weeks; these time periods represent
approximately six and eight complete spermatogenic cycles.
No detectable changes in sperm morphology were found at either
time period. Pereira et al. (1980b) also examined sperm shape
abnormality in Chinese hamsters exposed to diesel exhaust for
6 months. In this study there was a significant increase in
abnormal sperm. The authors caution that this result was obtained
from a small group and should be viewed as preliminary.
Pereira et al. (198-Od) also used a rat liver foci assay
to examine the genotoxicity of diesel exhaust. This assay
is similar to the two-stage mouse skin model for carcinogenesis.
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Rats were given a partial hepatectomy to enhance the rate of
cell proliferation and then were exposed to diesel exhaust
emissions for 3 or 6 months. During exposure the rats were
fed a choline-devoid diet, inducing a dietary deficiency that
acts as a promoter. At 3 or 6 months the rats were sacrificed,
and their livers were histologically examined for foci of hepa-
tocytes containing gamma glutamyl transpeptidase. Gamma glutamyl
transpeptidase is used as a marker for cancerous hepatocytes.
No increase in foci was detected after 3 or 6 months of exposure.
4. In Vitro Tests of Extracts of Air Pollution
Extracts of polluted air and of air emissions have been
tested for mutagenic and genotoxic activity in a wide range
of in vitro systems. These tests are performed more quickly
and inexpensively than whole animal studies and can utilize
effectively the small amounts of test material usually available
in air pollution extracts. In addition, a large number of
fractions of the extracts that have been separated on the basis
of chemical structure or particle size, can be tested concur-
rently, allowing for the identification and isolation of the
substances responsible for the mutagenic or genotoxic activity.
Direct extrapolation of the results of in vitro tests to poten-
tial human health effects is not yet possible, although several
studies have been performed that have established a high degree
of correlation between mutagenic and carcinogenic activity
for some classes of chemicals.
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Of the wide range of in vitro tests, those that have been
used in testing air pollutants can be placed in four groups.
Gene mutational assays utilize bacterial or mammalian cell
cultures to detect single or multiple base changes (mutations)
in genes. Larger scale damage to the DNA, in the form of DNA
strand breaks and exchanges between chromosomes, is detected
in assays using cultured hamster embryo cells, liver cells,
hamster ovary cells, and mammalian (human) lymphocytes. The
ability of chemicals or extracts to cause aberrations in chromo-
somes, such as breaks, deletions, and translocations, is tested
in both hamster cells and human leukocytes. Transformation
assays measure the degree to which substances can alter normal
cultured cells to states in which they more closely resemble
cancer cells.
Transformation of cells in culture is considered analogous
to transformation of cells in vivo. These transformed cells
in culture may have morphological and biochemical traits similar
to cancer cells. Most important, when a cell that has been
transformed in culture is implanted in a syngeneic host, it will
form a tumor. A variety of cells has been used in transformation
assays, including cells from established cell lines and cells
freshly isolated. There are actually two types of cell transfor-
mation assays. In one assay, the test compound produces the
transformation while in the other assay, the test compound
enhances a virally induced transformation of the cell. This
latter assay is considered more sensitive than the first one.
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Both these assays give results that correlate well with the
results of other tests for carcinogenesis and rnutagenesis.
Several studies of these types have been conducted with
extracts of air pollution and emission particulate. Freeman
et al. (1971) tested benzene extracts of the city air particu-
lates for their capacity to transform rat and hamster embryo
cells in culture. Transformation was considered complete if
the cells treated with extracts formed tumors when transplanted
into neonatal mice. The authors found that the extracts did
not transform rat embryo cells but did transform cells that
had previously been infected with Rauscher leukemia virus.
In these cultures of virus-infected cells, the extracts were
600 times more effective in inducing transformation than an
equal amount of pure BaP. In addition to the results seen
in rat embryo cells, the extracts transformed both infected
and uninfected hamster cells. The infected hamster cells were
as sensitive as the virus-infected rat cells; the uninfected
cells were one-tenth as sensitive as the virus-infected rat
cell cultures.
In another study, Gordon et al. (1973) first removed the
PAHs by benzene extraction from particulates collected from
Los Angeles air. The residue was further extracted with methanol,
and this fraction was tested for transforming ability in cell
cultures of Fischer rat. embryos or Swiss albino mouse embryos.
(The mouse cells, but not the rat cells, had been infected
with leukemia virus.) Results were positive in both systems,
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indicating to the authors that non-PAH carcinogens were present
in the extract.
Curren et al. (1981) investigated the transforming activity
of dichloromethane extracts of participates from several types
of diesel engines, a gasoline engine, and coke oven and roofing
tar emissions. They used the BALB/c 3T3 cells in their assay
systems, which included or excluded the metabolic-activating
system from rat liver. Several of the extracts showed signifi-
cant transforming activity, but no clear dose-response relation-
ships were found. The metabolic-activating system reduced
the transforming activity of some extracts and did not greatly
increase the activity of any extract; this suggested that there
were direct-acting agents in the extracts. The most potent
extracts came from coke oven emissions and the gasoline engine.
These were followed by extracts from a Nissan light diesel
engine exhaust and then roofing tar emission. Essentially
no activity was found in extracts of exhaust from an Oldsmobile
light diesel engine and a heavy diesel engine.
Using the same extract material, Castro et al. (1981)
were unable to show any transforming activity in their assay
system using Syrian hamster embryo cells. However, when the
cells were first infected with simian adenovirus SA7, several
extracts were capable of enhancing the viral transformation
of the cells. Ranking the extracts according to the lowest
effective concentration shows that extract of roofing tar emis-
sion >coke oven emission >cigarette smoke condensate >Nissan
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light diesel engine >a gasoline engine and a VW diesel engine.
Extract from the Oldsmobile light diesel engine and the heavy
diesel engine had little or no activity.
Many other assays have been developed to identify carcino-
genic compounds using mammalian cell cultures. Several of
these assays have been used to examine the genotoxic or mutagenic
activity of diesel engine particulate exhaust extracts and
extracts of particulates from other emission sources. Mitchell
et al. (1981) used L51784 mouse lymphoma cells to examine the
mutagenicity of these extracts. The assay was done with and
without a metabolic-activating system. All extracts tested
gave positive results in the presence and absence of the meta-
bolic-activating system, indicating the presence of direct-
acting mutagens in the extracts. Extract of the gasoline engine
exhaust emission was the most potent extract tested. Castro et
al. (1981) examined the same extracts for mutagenicity using
Chinese hamster ovary cells. In this system, extracts of emis-
sions from the Nissan and Volkswagen diesel engines, the gasoline
engine, and coke oven were positive. Unlike the results of
Mitchell et al. (1981) with mouse lymphoma cells, extracts
of emissions from a heavy diesel engine, the Oldsmobile light
diesel engine, roofing tar, and cigarette smoke were not found
to be mutagenic. Curren et al. (1981) used mouse BALB/c 3T3
cells in a mutagenicity assay and found extracts of emissions
from roofing tar, the Nissan light diesel engine, the gasoline
engine, and coke oven to be mutagenic, and the heavy diesel
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DRAFT
engine and the Oldsmobile light diesel engine not to be muta-
genic.
Using Syrian hamster embryo cells, Castro et al. (1981)
examined whether the extracts would cause DNA fragmentation.
This type of damage induced by chemical agents correlates fairly
well with their carcinogenic potential. Only coke oven and
gasoline engine emission extracts caused detectable breakage
of the cellular DNA.
Mitchell et al. (1981) examined whether these extracts
would increase sister chromatid exchanges (SCE) in Chinese
hamster ovary cells. Without metabolic activation, all extracts
tested showed some activity. Coke oven emission and Nissan
light diesel engine exhaust extracts were the most active.
Lockard et al. (1981) examined whether extracts from air-
borne particulates would increase SCE in human lymphocytes
or V79 fibroblasts from Chinese hamster lungs. They used extracts
from samples of airborne particulates, collected over a 5-month
period on the campus of the University of Kentucky in Lexington.
There was a linear dose-related increase of SCE in human lymphocytes
with 60-80 yg of extract necessary to induce a doubling in
the number of SCE. Several extracts that were positive with
human lymphocytes failed to induce an increase of SCE in V79
cells, however, other extracts did cause an increase. BaP
was used as a positive control and increased SCE in both cell
types. The increase of SCE in human lymphocytes by BaP did
not occur in the presence of a metabolic activating system,
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although, BaP generally needs to be metabolically activated
to be effective. The amount of BaP, 8 ug, needled to induce
a doubling of the SCE in these cells was much more than was
likely to be in the extracts. Therefore, the extracts must
have contained active compounds other than BaP.
The most widely used gene mutational assay in testing
extracts of air pollution is the Ames assay (Ames et al. 1973,
1974) , which measures the rate at which special, strains of
the bacteria, Salmonella typhimurium, mutate or revert to a
less specialized form. The assay uses either the test material
directly or the test material in combination with a biochemical
preparation of liver or lung tissue that metabolizes the test
material, thereby testing for the possibility of in vivo genera-
tion of mutagens. The correlation of positive results in the
Ames assay with positive results in long-term carcinogenicity
assays has been found to be Detween 30% and 90% depending on
the class of chemical being tested (McCann et al. 1975, Commoner
et al. 1976). A recent international study with 42 chemicals
found the false positive rate, i.e., the rate at which a positive
result was obtained for a noncarcinogen for bacterial assays,
to be 5-10% (Bridges et al. 1981).
Gene mutational assays have been used to test air pollu-
tion from a number of sites and sources. Using the Ames assay,
investigators have detected mutagenic activity in extracts
of particulates from residential and urban air (Talcott and
Wey 1977, Pitts et al. 1977, Tokina et al. 1977, Commoner et al.
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1978, Teranishi et al. 1978, Salamone et al. 1979, Moller and
Alfheim 1980, Lockard et al. 1981, Tokiwa et al. 1980, and
Walker et al. 1982), in fly-ash from coal-fired power plants
(Fisher et al. 1979), in particulates collected from air in
tunnels (Ohnishi et al. 1980), and in exhaust from gasoline-
and diesel-powered automo biles (Ohnishi et al. 1980, Wang et
al. 1981, Huisingh 1981, and Lewtas 1982). One study (Tokiwa
et al. 1977) reported higher mutagenic activity in samples
taken from an industrial area than in samples from a residential
area. In most of the studies, a linear dose-response relation-
ship was observed between the amount of material tested and
mutagenic activity (Tokiwa et al. 1976, Tokiwa et al. 1977,
Pitts et al. 1977, Teranishi et al. 1978, Commoner et al. 1978,
Salamone et al. 1979, Moller and Alfheim 1980, Ohnishi et al.
1980, Walker et al. 1982).
Because the extracts of air pollution are composed of
a heterogenous mixture of substances, it is unlikely that the
mutagenic activity can be attributed to a single chemical or
class of chemicals. Most of the tests, however, have indicated
that the airborne mutagens cause the same type of mutation.
Tokiwa et al (1977), Teranishi et al. (1978), Salamone et al.
(1979), Moller and Alfheim (1980), Ohnishi et al. (1980), Claxton
(1980), and Walker et al. (1982) have reported the highest
activity of their samples were in the Salmonella strains most
sensitive to frameshift mutations.
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BaP and other PAHs have been identified in extracts of
air pollutants by Talcott and Wei (1977), Tokiwa et al. (1977),
Commoner et al. (1978), Dehnen et al. (1978), Salamone et al.
(1979), Moller and Alfheim (1980), Ohniski et al., (1980), and
Tokiwa et al. (1980). Several studies have indicated that
PAHs require metabolic activation by the liver tissue preparation
to have a mutagenic effect (Wislocki et al. 1976,, Wood et al.
1976). Talcott and Wei (1977) found that 75% of the mutagenicity
of their urban air samples was due to an enzyme-activated frac-
tion; this activity was substantially reduced when an inhibitor
of the PAH-metabolizing enzymes was added to the culture.
Moller and Alfheim (1980), Lockard et al. 1981, and Salamone
et al. (1979), however, found extracts from their air pollutant
sample usually gave similar results with and without a metabolic-
activating system.
Pitts et al. (1980) recently demonstrated that BaP deposited
on a glass fiber filter in the presence of ambient levels of
ozone is transformed to strong mutagens in the Ames test.
This suggests that airborne BaP may not always require metabolic
activation to exert a carcinogenic effect, but that is chemically
activated in the atmosphere by ozone. On the other hand, the
finding indicates that some mutagens found in the particulate
extracts may be artifacts of the method of collection and,
as indicated below, direct-acting mutagens are found in the
extracts.
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Analyzing air samples from residential areas, Talcott
and Wei (1977), Holier and Alfheim (1980), Salamone et al. (1979),
and Tokiwa et al. (1977) observed mutagenic activity that did
not require enzyme activation. In later research, Wang et al.
(1978) found that the lead content of extracts of non-industrial
airborne particulates correlated well with mutagenic activity,
suggesting to the authors that the source of the mutagens was
vehicular emissions. Further, they detected direct-acting
mutagens in extracts of automobile exhaust, although they did
not isolate the compound or compounds responsible. Wang et al.
(1980) found that extracts from diesel exhaust particulates
were mutagenic and that the mutagenicity of the extract was
not dependent on metabolic activation by liver homogenate.
They actually showed that this activity was reduced by addition
of the homogenate. The reduced activity was found not to be
from enzymatic activity but from nonspecific binding of the
mutagens to the protein in the homogenates instead of the DNA
of the bacteria. They showed that glutathione, a natural con-
stituent of the body that can bind to electrophilic compounds,
reduced the mutagenicity of the extract, thus suggesting that
the mutagens are direct alkylating agents. Claxton (1980)
also found that the majority of the mutagenic activity in extracts
of diesel exhaust was direct acting. Mutagens in gasoline
engine exhaust extracts were partially direct acting, but meta-
bolic activation did increase the mutagenic activity of the
extracts. Whether any of the direct-acting mutagenic activity
111-29
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DRAFT
discussed here is artificial because of the method of collection
is not known this makes assessments of the extracts more diffi-
cult.
In a study designed to determine the size of the particles
associated with airborne mutagens, Talcott and Harger (1979)
detected the highest activity in particles less than 2 urn in
diameter and found that this fraction contained alkylating
agents. Fisher et al. (1979) and Tokiwa (1980) also compared
particle size and mutagenic activity. Fisher et al. (1979)
found that fly-ash particles of 3.2 urn diameter had the greatest
mutagenic activity, and Tokiwa et al. (1980) found the highest
mutagenic activity and PAH content in particles with diameter
of 0.3-1.0 urn. Particles of these sizes readily penetrate
lung airways (Kotin 1968).
C. Monitoring Data
A number of substances known to cause cancer in humans
or laboratory animals have been detected in ambient air. These
substances include PAHs, aza-heterocyclic compounds, vinyl
chloride, asbestos, metals, pesticides, N-nitroso compounds,
carbon tetrachloride, and many other industrial chemicals.
Table III-l (in Appendix B) is a compilation of suspected
and known carcinogens found in air pollution. This list contains
PAHS, pesticides, and inorganic compounds
The presence in air"of some of the suspected or known
carcinogens listed in Table III-l has not been established
by monitoring, but is highly probable. These compounds are
111-30
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DRAFT
used in industry or are industrial by-products; because of
their volatility or association with fume-producing processes,
they are likely to enter the air. Alkylating agents such as
bis(chloromethyl)ether and chloromethyl methyl ether are potent
carcinogens in rodents (Laskin et al. 1971, Leong et al. 1971)
and humans (Albert et al. 1975, Lemen et al. 1976, Pasternack
et al. 1977, Sakabe 1973). The presence of these substances
in ambient air has not been determined, but the stability of
bis(chloromethyl)ether in moist air is at least 18 hours (Collier
1972), a period of time long enough for human exposure to occur.
The presence of carcinogenic substances in the ambient air
strongly suggests that humans are exposed. However, monitoring
data alone are generally inadequate to determine the extent
of exposure of individuals. Given that the average person
inhales from 10 to 20 m /day of air, one can estimate the quan-
tity of the inhaled material to be in the microgram to milligram
range.
Particulate air pollution is an important contributing
source of known and suspected carcinogens in the air. In addi-
tion to the organic compounds, particulate air pollution contains
arsenic, beryllium, cadmium, chromium, lead, nickel, and asbestos.
As discussed in a review of particulate air pollution by USEPA
(1982), there is a multimodal distribution in the size of the
particulates. Particles less than 0.1 urn are in the nuclei
(Aitken) mode and typically originate from combustion sources.
These particles are short-lived because of coagulation of the
111-31
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;£•*. £T
T..MS !
particles into particulates with the size of 0.1-2.5 ym; the
newly formed particles are considered to be in the accumulation
mode. Particles making up these two modes are termed fine
particles. The final category is of particles greater than
2.5 ym, making up the coarse mode. These particles are usually
derived from mechanical processes or wind erosion and are not
usually formed to any great extent from fine particles. Fine
particles, because of their long residence time and atmospheric
formation, can build up far from their source while coarse
particles normally occur only near strong source emissions.
As a general historical perspective, total suspended parti-
culate in New York City in the early 1960s contained 10% or
less benzene-soluble organic material. Control programs put
into effect between the early 1960s and mid 1970s produced
a substantial reduction in total suspended particulates. With
the reduction of particulates there was a marked decrease in
the concentration of benzene-soluble organics and trace elements
(USEPA 1982).
A large number of gaseous air pollutants are suspected
or known carcinogens. The concentrations of these compounds
are usually harder to measure than those associated with particu-
lates because of the difficulty in collecting sufficient amounts
to quantify. Singh et al. (1982) has recently reported the
results of a 3-year study on gaseous air pollutants. They
measured 44 different organic chemicals in 10 cities throughout
the United States. In general they found a number of known
111-32
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DRAFT
bacterial mutagens and suspected carcinogens. Most of the
compounds measured were in the subparts per billion concentra-
tion, although concentrations of aromatic hydrocarbons and
formaldehyde averaged 5-20 ppb. The concentrations of anthro-
pogenic compounds were generally one or two orders of magnitude
higher in urban air than in rural or clean remote air. Diurnal
variations were observed and depended on source strength and
prevailing meteorology. Afternoon mixing led to sufficient
dilution to produce minimum concentrations of several primary
pollutants. Photochemical pollutants showed maximum concentra-
tions in the afternoon.
D. Multimedia Exposure
In addition to exposure to airborne carcinogens by inhala-
tion, studies of the environmental distribution of air pollutants
indicate that human exposure can also occur through routes other
than inhalation. There is evidence that some substances released
into the air, if unaltered chemically, ultimately end up in soil
and water or on plants, including edible plants.
Arsenic and lead have been studied for their environmental
distribution. Lindau (1977) found arsenic in drinking water
(0.08-3.0 yg/liter), soil (5-15 mg/kg), and vegetables and
grains (0.1 yg/g). Levels measured in the vicinity of a copper
smelter were 500 yg/liter (water), 30 mg/kg (soil), and 0.06
yg/g (barley). Levels were considerably lower in samples taken
40 km from the plant. Studies in 32 areas of the United States
showed a correlation between the amount of lead in rainfall
111-33
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RA.FT
in a given locality and the amount of gasoline used in theit
locality (Lazrus et al. 1970). Numerous other studies have
demonstrated an inverse relationship between the lead content
of grasses and soil and their distance from highways (NAS 1972a).
Studies of crop plants indicated that, although the lead content
of exposed parts was proportional to air lead concentreitions,
the levels of lead in the seeds and roots (the edible portions)
were unaffected (Motto et al. 1970). After review of this
and other studies, the Committee on Lead in the Human Environment
of the National Academy of Sciences concluded that most of
the lead content of plants, possibly as much as 90-99%,, origin-
ates from atmospheric pollution. They added, however, that
this estimate cannot be applied yet to crop plants, or to the
edible portions of crop plants (NAS 1980).
Kotin and Falk (1963) demonstrated that BaP is stable
in the atmosphere, both in its crystalline form and when it
is adsorbed on soot. Lunde and Bjorseth (1977) showed that
BaP can be transported long distances in the eiir. In the United
States, BaP was found in higher concentrations in soil around
petroleum and chemical plants (Menck et al. 1974); in the Soviet
Union, it was found in higher concentrations in soil around
airfields, coke ovens, and oil refineries (Shabad 1980). Accord-
ing to Shabad (1980), levels of BaP in water in the Soviet
Union are also higher in industrial areas. Santodonato et
al. (1981) summarized multimedia human exposure to polycyclic
aromatic hydrocarbons (PAH), Table III-2.
111-34
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DRAFT
TABLE III-2
ESTIMATED HUMAN EXPOSURE TO PAH
FROM VARIOUS AMBIENT SOURCES
(yg/day)
Source
Air
Water
Food
BaP
0.0095-0.0435
0.0011
0.16-1.6
Carcinogenic
PAHa
0.038
0.0042
b
Total
PAH
0.207
0.0270
1.6-16
aTotal of BaP, BjF, and indeno[1,2,3-cd]pyrene
No data available
SOURCE: Sandodonato et al. 1981
Atmospheric deposition of PAH onto food and into water
cannot be considered the only source of PAH exposure via these
routes since food preparation and local effluent sources may
add to PAH levels.
E. Summary
This chapter compiles and summarizes experimental evidence
and monitoring data. A substantial number of studies has shown
that extracts of airborne materials from polluted air and mate-
rials emitted from motor vehicle engines and stationary sources
are frequently carcinogenic and mutagenic when tested in experi-
mental bioassay systems. Results of in vivo tests have included
the induction of skin cancers, lymphomas, fibrosarcomas, liver
tumors and lung tumors in mice, lung tumors in rats and hamsters,
111-35
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DRAFT
and chromosome damage and sister chromatid exchange in hamsters.
Respiratory irritants present in polluted air may also enhance
the effects of other carcinogenic agents. Results of in vitro
tests have included the induction of point mutations in bacteria
and Drosophila melanogaster, malignant transformation of mammalian
cells in culture, and sister chromatid exchange and DNA fractiona-
tion in cultured mammalian cells, including human cells. Positive
results in these in vitro tests are generally correlated with
the potential for carcinogenicity.
Table III-l (in Appendix B) lists more than 50 chemicals
that have been detected in ambient air and that are known or
suspected to be carcinogenic in humans or in experimental anL-
mals. Where comparative data are available, concentrations
of these chemicals tend to be higher in urban areas than in
rural areas, and higher still in industrial emissions. There
is evidence of significant multimedia exposure to several pol-
lutants after their release into ambient air.
111-36
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DRAFT
IV. QUANTITATIVE ESTIMATES
A. Introduction
Chapters II and III have reviewed the qualitative evidence
for an association between air pollution and cancer rates.
This chapter reviews and summarizes estimates of the possible
magnitude of this association—i.e., the number of cancers
that might be "attributable" to exposure to air pollution.
It should be emphasized that quantitative estimates of this
kind can be made (with caution, of course) even if the qualita-
tive evidence for the association is not regarded as fully
conclusive. The "softer" the evidence that is used the wider
is the possible range of resulting estimates. The question
addressed in this chapter is the following: If air pollution
is a causative factor in human cancer, what estimates can be
made of the fraction of human cancers to which it contributes?
It should be emphasized that the word "contributes" in
this question does not imply that air pollution would operate
independently as a single causative factor. As emphasized
earlier, most cancers have multiple causes, and there is evidence
that air pollution may act in conjunction with other factors
to increase the risk of cancer. Some reviewers have recognized
this by assigning a certain fraction of cancers to more than
one causative factor. One way that has been used to develop
estimates of the fraction of cancers "attributable" to air
pollution is to "subtract out" the effects of other factors.
IV-1
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DRAFT
This is almost certain to lead to underestimation of the contri-
bution of air pollution, by subtracting out the cancers attributa-
ble to the joint action of these other factors with air pollution
and attributing them solely to the other factors.
B. General Estimates
Because of the limitations inherent in the epidemiologic
studies, estimates of what percentage of human cancers may
be attributable to air pollution have been the subject of dis-
agreement. Several participants in the recent. EPA rulemaking
cited estimates by Higginson and Muir (1979, 1976) and Wynder
and Gori (1977) that no more than one percent of total cancer
deaths are attributable to air pollution. The data on which
these estimates are based were not fully described, but these
estimates appear to be "subtracted out" estimates, since in
both reviews the fractions of human cancer rates attributed
to various factors add up to 100%. Hence, these authors impli-
citly excluded multiple causation.
The most extensive recent review of data providing evidence
for associations between cancer and environmental factors is
that of Doll and Peto (1981). In the conclusion of their review
(Table 20), they proposed 2% as the "best estimate" of the
percentage of all cancer deaths attributable to pollution of
all kinds, with a "range of acceptable estimates" extending
from less than 1% to 5%. Although the basis for these figures
is not completely clear, they appear to have been based on
the estimates of Pike et al. (1975) and Cederlof et al. (1978),
IV-2
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DRAFT
both of which were cited for the conclusion that urban air
pollution (as characterized by BaP) might have contributed
to about 10% of lung cancer in big cities, i.e., about 1% of
all cancers in the country as a whole. The effects of industrial
emissions were regarded as negligible, and cigarette smoking
was considered sufficient to account for most, if not all,
of the patterns of variation in lung cancer rates, including
urban/rural differences. A critique of this secondary review
paper is presented in Appendix E.
Shy and Struba (1982) presented another review of the
scientific evidence on air pollution and cancer. While citing
some of the epidemiologic and experimental evidence reviewed
in this report, they concluded that "firm conclusions about
air pollution and lung cancer are simply not warranted by the
current state of knowledge." Although they did not make quanti-
tative estimates of the possible magnitude of the association,
they discussed attempts to estimate the risks from exposure
to BaP by linear extrapolation from data on occupationally
exposed workers, and concluded that such extrapolation "would
support an extremely low risk (0.1 to 0.01 of a two to threefold
excess) for ambient air." A risk of this magnitude would consti-
tute between 1% and almost 20% (between 0.01(2-1) and 0.1(3-1))
of all lung cancers, and thus would fall within the range of
other estimates discussed in this chapter. Further comments
on Shy and Struba1s review are presented in Appendix E.
IV-3
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DRAFT
C. Estimates Based on Analysis of Epidemiologies! Data
A number of investigators have attempted to derive estimates
of the quantitative relationship between lung cancer rates
and air pollution, using BaP and other substances as indices.
Although we believe that BaP has become less and less useful
as an indicator of generalized air pollution over time, we
report 12 published estimates:
• NAS (1972b) based on the data of Carnow and Meier (1973)
• Pike et al. (1975) based on the data of Doll et al.
(1965, 1972)
• Pike et al. (1975) based on the data of Stocks (1957)
• Wilson et al. (1980) reviewing estimates of Pike et
al. 1975
• Pike and Henderson (1981)
• Lave and Seskin (1977)
• Doll (1978)
• Cederlof et al. (1978)
• Wilson et al. (1980) based on the data of Hammond et al.
(1976)
• Wilson et al. (1980) based on a review of several of
the above estimates
• CAG (1978)
• CAG (1982)
We also present an independent estimate, based on analysis
of data of Hammond and Garfinkel (1980), as reassemoled by
Goldsmith (1980), and not based on BaP levels. (The data cited
by Hamrtond and Garfinkel on ambient levels of pollutants were
based on observations made after the mortality from lung cancer
IV-4
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DRAFT
had occurred. These after-the-fact data are not used in our
independent computation.)
An earlier review by the National Academy of Sciences'
Committee on Biologic Effects of Atmospheric Pollutants (NAS
1972b) laid out the argument for using BaP as an air pollution
indicator:
It appears, then, that there is an "urban factor"
in the pathogenesis of lung cancer in roan. The poly-
cyclic organic molecule mentioned most prominently
in this report has been benzota]pyrene. It was felt
that benzota]pyrene could be used as an indicator
molecule of urban pollution, implying the presence
of a number of other polycyclic organic materials of
similar structure that may also have some carcinogenic
activity. The standard measure of benzol a]pyrene con-
centration in the air is the number of micrograms per
1,000 m of air. On the basis of epidemiologic data
set against information regarding the benzo[a]pyrene
content of the urban atmosphere, one can develop a
working hypothesis that there is a causal relation
between air pollution and the lung cancer death rate
in which there is a 5% increase in death rate for
each increment of urban air pollution. In this study,
an increment of pollution corresponded to 1 ng of
benzo[a]pyrene per 1,000 m of air. On the basis
of this assumed relation, a reduction in urban air
pollution equivalent to 4 benzo[a]pyrene units (i.e.,
from 6 tig/1,000 m to 2 ng/1,000 m ) might be ex-
pected to reduce the lung cancer death rate by 20%.
These data, however, are not to be interpreted as in-
dicating that benzol a]pyrene is the causative agent
for lung tumors. There is much to support the idea
of synergism or cocarcinogenesis, especially with
respect to cigarette smoking. In addition, the car-
cinogenic significance of other polycyclic organic
molecules in urban air pollution should be determined.
(NAS 1972b, p. 246)
However, BaP seems to have become less useful, with time,
as a general indicator of air pollution. A recent review of
problems associated with air pollution (Karolinska Institute
Symposium on Biological Tests in the Evaluation of Mutagenicity
IV-5
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HRMT
and Carcinogenicity of Air Pollutants, 1982) , scheduled for
publication in Environmental Health Perspectives (major authors,
Lars Freiberg and Norton Nelson) came to the conclusion:
At the present time there is no way to quantitate
how changes in air pollution levels may have reduced
mortality from lung cancer because there has been
a lack of a completely reliable indicator of air
pollution carcinogenicity.
The Karolinska 1982 review repeated the conclusions of an earlier
review (Cederlof 1978)
combustion products of fossil fuels in ambient air,
probably acting together with cigarette smoke, have
been responsible for cases of lung cancer in large
urban areas, the numbers produced being of the order
of five-ten cases per 100,000 per year
and indicated no basis for any revision in the conclusions
drawn by NAS (1972b) in view of current data. Five to 10 cases
per 100,000 per year is about 6 to 15% of all lung cancer cases.
There is evidence that BaP levels have decreased in the
United States (CEQ 1980) in the past 20 years, without a propor-
tional decrease in all other air pollutants—thus currently
making BaP a poor index of trends in air pollution levels.
In 1958-59, the median level of BaP measured in urban air was
•3 O
about 6 ng/mj (range, 1-60 ng/m ), and that in rural air was
about 0.4 ng/m3 (Sawicki et al. 1960). By the mid-1960s the
median level at urban sites was reduced to 3.2 ng/m , and by
the mid-1970s it was reduced to below 1.0 ng/m'1 (Wilson et
al. 1980, CEQ 1980, Shy and Struba 1982). Although earlier
measurements are not available for the United States, Shy and
Struba (1982) suggested that levels in the 1930s and 1940s
IV-6
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DRAFT
would have been several-fold higher. Wilson et al. (1980)
cited data compiled by Ludwig et al. (1971), which showed that
dustfall rates declined by a factor of about 2 in Pittsburgh,
Cincinnati, and Chicago between 1935 and 1958, and by the same
factor in New York City between 1945 and 1958. Since much
of the dustfall in these urban areas was associated with incom-
plete combustion of fossil fuels in these periods, dustfall
rates may provide a surrogate measure of likely changes in
BaP levels. However, there was no marked change in dustfall
rates between 1958 and 1966, a period in which the data cited
above suggest a substantial decrease in BaP levels. Levels
of BaP in the United Kingdom in the mid-1970s were several
times higher than in the United States, probably in the range
of 3-5 ng/m3 (Lawther 1980, Wilson et al. 1980).
One consequence of the changes in BaP levels since the
1950s (or earlier) is that differences between regions (e.g.,
between urban and rural areas) have been reduced (CEQ 1980),
so that associations between air pollution (as measured by
BaP) and cancer rates are more difficult to demonstrate. Compar-
ison of cancer rates with contemporaneous BaP levels is likely
to overestimate the strength of the relationship between them,
because cancer rates are actually influenced by exposures 20
or more years earlier, when BaP levels (and differentials)
were higher. Also, as discussed in Section II.B.S.d., levels
of other carcinogenic components of ambient air have probably
increased, while those of polynuclear aromatic hydrocarbons
IV-7
-------
(of which BaP serves as an index) have decreased. Hence, apply-
ing the relationship of cancer rates to BaP levels at some
time in the past will overstate the BaP effect per unit dose
and will underestimate the hazards posed by present-day ambient
air, and hence will underestimate the contribution of present-day
exposures to future cancer risks.
Recognizing these difficulties, we have summarized in
Table IV-1 the estimates made by others of the dependence of
lung cancer rates on BaP levels. Most of these estimates were
obtained by linear regression techniques (i.e., calculation
of the linear relationship between differentials in lung cancer
rates and differentials in BaP levels). Hence, the dependence
of lung cancer rates on air pollution levels is expressed in
units of incremental lung cancer rate per ng/m of BaP.
The 13 estimates reviewed above are listed in the second
column of Table IV-1. In comparing these estimates, it. should
be recognized that they fall into two categories that are not
strictly comparable. The estimates by GAG (1978, 1982), Pike
et al. (1975) based on data of Doll et al. (1965, 1972), Pike
and Henderson (1981), and Wilson et al. (1980) based on delta
of Hammond et al. (1976) , were based on studies of workers
occupationally exposed to products of incomplete combustion.
In these studies BaP was used as an index of exposure to these
products. The remaining estimates were based primarily (or
entirely) on studies of the general population exposed to ambient
air, and used BaP as an index of exposure to a wider mixture
IV-8
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DRAFT
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IV-9
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DRAFT
of materials. The fact that the worker studies yield lower
estimates of dose-response coefficients (0.1-0.8 x 10 ) than
the population studies (0.8-5.0 x 10"^) (p<0.01, Mann-Whitney
test) suggests that products of incomplete combustion may be
associated with only a part of the excess of lung cancers in
urban areas, thus making BaP a poor indicator of total air
pollution.
The principal limitation in quantifying the population
studies is that they all relate cancer deaths observed in the
period 1959-1975 to BaP levels measured or estimated for the
period 1958-1969. If levels of BaP and related products of
incomplete combustion were higher in the 1930s and 1940s (more
coal-burning emissions, but fewer automobiles), these studies
would overestimate the dose-response coefficient between lung
cancer rates and BaP levels. As an illustration of the likely
magnitude of this effect, we present in the third column of
Table IV-1 adjusted estimates of the dose-response coefficient,
derived by assuming that the effective population exposure to
polluted air for cancers developing in the 1960s and later was
in the period 1935-45, and that levels of BciP at that period
(using dustfall rates as a surrogate index of likely BaP levels,
as discussed above) were about twice those measured in the early
1960s. For the estimates based on European studies (Lave and
Seskin 1977, Doll 1978~, Cederlof et al. 1978), the figures in
the second column were based on a value of 3.5 ng/m for the
urban-rural differential in BaP levels, which was appropriate
IV-10
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DRAFT
for the mid-1970s. We have adjusted these European figures
by a factor of 4 to account for the assumed reduction in BaP
levels since the period 1935-45. Estimates based on studies
and occupationally exposed workers have not been adjusted.
To place these estimates of dose-response relationships
in quantitative perspective, the last two columns in Table IV-1
present calculations of the number of lung cancer deaths that
could be attributed to air pollution characterized by 6.4 ng/m
of BaP. This is approximately twice the average level of BaP
to which the U.S. population was exposed in the mid-1960s,
and hence is the average level of BaP to which we have assumed
the U.S. population was exposed in the period 1935-45. The
figures in the last two columns of Table IV-1 are derived by
multiplying the "adjusted" dose-response coefficients in the
third column by 6.4 ng/m3. These figures give estimates of
the number of lung cancer deaths in the 1960s (per 100,000,
expressed as a percentage of total U.S. lung cancer deaths in
1975; this percentage is an understatement of the percentage
of deaths in the 1960s related to BaP exposure) attributable
to air pollution levels in prior decades. The estimates based
on studies of the general population fall into the range between
2 and 8 deaths/year per 100,000 people, or between 5% and 20%
of the lung cancer rates in the mid-1970s. The estimated median
from these population studies is 4.5 deaths/year per 100,000,
or about 11% of the almost 90,000 lung cancer deaths in the
United States in 1975.
IV-11
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DRAFT5
These estimates of the contribution of BaP-indexed air
pollution to lung cancer rates in the 1960s are not sensitive
to changes in our assumption about BaP levels in the period
1935-45. If we had assumed a higher figure for average BaP
levels in that period, our estimates of adjusted dose-response
coefficients in the third column of Table IV-1 would have been
lower, but the multiplier used to derive the estimates in the
last two columns would have been correspondingly higher.
Despite the relative stability of these estimates, they
unfortunately cannot be used to generate reliable estimates
of the future effects of present air pollution, or even to
make firm estimates of the contribution of past air pollution
to current cancer rates. This is because BaP is not a stable
index of the carcinogenicity of polluted air. Although the
general population exposure to BaP and to other products of
incomplete combustion has decreased considerably since the
1950s, it appears unlikely that the carcinogenicity of polluted
air has decreased in direct proportion. The fact that BaP
levels relative to other air pollutants have changed with time
implies that all the estimates in Table IV-1 are time-dependent,
and unfortunately cannot be used to predict the future conse-
quences of present-day air pollution using BaP levels as a
surrogate for all air pollution.
Despite these limitations, each of the studies listed
in Table IV-1 is considered in more detail below.
IV-12
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DRAFT
Carnow and Meier (1973) estimated the risk of lung cancer
mortality by relating 1960 deaths to 1968 levels of BaP. Wilson
et al. (1980) reduced this estimate (NAS 1972D) by half to
1.0 death/10^ persons per ng/m^ of BaP. Wilson cited monitoring
data from 28 sites in 1959, which seemed to indicate that levels
of BaP had declined. There are few data on levels of BaP before
1966, and it is not possible to establish whether or not Wilson
et al.'s correction was appropriate. The more complete monitoring
data available from 1966 to 1977 indicate that levels from
1966 to 1969 were steady or slightly increasing (CEQ 1980)
and then declined. Thus, we do not know whether or not Wilson
et al.'s correction of Carnow and Meier's estimate is the same
as the adjustment we have applied in Table IV-1 to allow for
likely reduction in BaP levels prior to 1959. For this reason,
either of the two adjusted estimates may be appropriate.
Pike et al. (1975), assuming a linear relationship between
exposure and carcinogenic response, extrapolated the results
of a study of gas workers by Doll et al. (1965, 1972) to the
general population:
The carbonization workers were exposed to an estimated
2,000 ng/nr BP for about 22 percent of the year
(assuming a 40-hour working week, 2 weeks paid leave,
1 week sick leave); very roughly, the men were exposed
to the equivalent of 440 (2000 x 0.22) ng/nr BP
general air pollution. This exposure caused an
extra 160/10 lung cancer cases, so that we may
estimate, assuming a proportional effect, that each
ng/nr BP causes 0.4/10b (160/105 divided by 440)
extra lung cancer cases per year. A city with 50
ng/m BP air pollution might, therefore, have an
extra 18/10 lung cancer cases per year. These
numbers are not negligible, although they are small
when compared, say, to smoking a pack of cigarettes
every da*' (Pike et al. 1975, p. 231)
IV-13
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DRAFT
Thus, based on the experience of carbonization workers, Pike
et al. (1975) estimated the risk of lung cancer mortality as
C -3
0.4 deaths/10 persons per ng/m° of BaP.
Wilson et al. (1980) reexamined this estimate by Pike
et al. (1975) and included a doubling factor to correct for
the fact that the gas workers were not exposed for all of their
lives, leading to an estimate of 0.8 deaths/10 persons per
ng/m BaP. However, neither Pike et al. (1975) nor Wilson
et al. (1980) made any further adjustment for the fact that
the gas workers were not all followed up to their deaths.
Because the incidence of human lung cancers increases in propor-
tion to the 4th or 5th power of age (or duration of exposure)
the possibility exists that Pike et al. (1975) and Wilson et al.
(1980) have underestimated the full lifetime cancer risks,
probably by a factor of 3 or more. For example, comparing
exposures beginning at birth, and continuing for a lifetime
with industrial exposures beginning at age 20 and assuming
a 73-year life span, implies a ratio of (73/53)4=3.6). Thus
Pike et al.'s original estimate may be as low as one-sixth
or one-seventh of the appropriate estimates. However, we have
not amended either estimate to take account of this factor.
Pike et al. (1975) also used the data of Stocks (1957)
to obtain a second estimate.
Second, there should be an increased lung cancer
rate in high PAH-polluted areas [25]; the effect
is magnified in most studies when we consider the
joint effect of urbanization and cigarette smoking.
Table 2 presents data [26] comparing rates in Liver-
pool to those in rural North Wales. This study
IV-14
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DRAFT
by Stocks was done in an area of "stable" air pollu-
tion. A fair summary of these data is that the
urban effect produces an excess of 28/10 lung cancer
deaths in nonsmokers and 100/10 such deaths in
smokers, the latter figure being independent of
the actual amount smoked. We might refer to this
increase as a modified additive effect. The differ-
ence in BP levels in the air between the two areas
was estimated to be 70 ng/nr (77 ng/nr compared
to 7 ng/mj); thus, we may very crudely estimate
the air pollution effect in the presence of cigarette
smoking at 1.4/105 per ng/m BP or 0.4/10 per ng/m
BP in nonsmokers (Table 3).
(at pp. 231-232)
Based on the prevalence of smoking in the United States in
the recent past (i.e., approximately one-third of all adults
are smokers), this estimate leads to a risk of lung cancer
mortality of 0.8 deaths/10 persons per ng/m3 of BaP. (If
based on earlier smoking habits, this estimate would be higher;
Wilson et al. (1980) listed this estimate as 1 death/105 persons,
possibly because it was based on past smoking habits.) This
estimate may be low, if, as appears likely, the estimated average
difference in BaP levels between urban and rural areas is great.
Pike and Henderson (1981) estimated the quantitative rela-
tionship between lung cancer risks and exposure to cigarette
smoke (data from various sources), coke oven emissions (data
from Lloyd 1971 and Redmond et al. 1972), and hot pitch fumes
(data from Hammond et al. 1976). They calculated that exposure
to about 15 ng/m3 BaP could be equated to smoking 1 cigarette/day,
and hence estimated the "single cause lifetime risk" of lung
cancer to age 70 resulting from ambient air exposure to 1 ng/m
BaP as 73x10 . This corresponds to an age-standardized lung
cancer rate of about 0.8x10 deaths/year per ng/m BaP.
IV-15
-------
Carnow (1978) suggested a number of factors that may have
led Pike et al. (1975) to an underestimation of risk. Albhough
Pike et al.'s estimates of the risk of lung cancer mortality
may be low, it is likely that the ratio of 3.5 in risk between
smokers and nonsmokers (1.4/0.4 = 3.5) is reliable, although,
3.5 is lower than the usual estimates of the relative risks
of smokers. The difference (3.5) was reported by Wilson et
al. (1980) to be statistically significant. This difference,
plus some reasonable assumptions, permits estimation of the
average risk to the general population from data on males alone
(see Appendix D). The general population excess is about 82%
of the male excess.
Based on extensive regression analyses of lung cancer
mortality and air pollution levels, Lave and Seskin (1977)
suggested that
... if the quality of air of all boroughs (England)
were improved to that of the borough with the best
air, the rate of death from lung cancer would fall
by between 11 and 44 percent.
This corresponds to 4.4-17.6 deaths/10 persons at British
levels of pollution (assumed to be 3.5 ng/m of BaP) or 1..3-
5.0 deaths/10 persons per ng/m of BaP.
Doll (1978) estimated that the risk of lung cancer mortality
attributable to urban air pollution in Europe was no more than
10 deaths per 10^ smokers and no more than 5 deaths per 10 non-
smokers. Based on current U.S. smoking habits, this estimate
corresponds to 6.7 deaths/10 persons or 1.9 deaths/10"' persons
per ng/m taking average levels of BaP to be 3.5 ng/m in Europe.
IV-16
-------
DRAFT
Doll (1978), however, provided data to indicate that levels
of BaP ranged much higher than 3.5 ng/m in highly urban areas
of Britain. Doll (1978) also estimated the attributable risk
in smokers to be twice the risk in nonsmokers, which is lower
than the 3.5-fold ratio derived by Pike et al. (1975). However,
it is not possible to ascertain whether the former is too high
or the latter is too low since the ratio cited by Doll (1978)
was a personal estimate of the author and not based on any
specific calculation or data. No data were cited to support
Doll's estimates of attributable risk.
Cederlof et al. (1978), summarizing the conclusions of a
conference on air pollution and long-term health effects, stated:
Combustion products of fossil fuels in ambient air,
probably acting together with cigarette smoke, have
been responsible for cases of lung cancer in large
urban areas, the numbers produced being of the order
of 5-10 cases per 100,000 males per year [European
standard population]. The actual rate will vary
from place to place and from time to time, depending
on local conditions over the previous few decades. (at p.9)
This estimate was a synthesis of material presented at a con-
ference, and the basis for it was not provided in detail.
Taking the risk to the general population as 82% of the risk
to males (see Appendix D) and average European levels of BaP
as 3.5 ng/m-*, this estimate corresponds to 1.2-2.4 deaths/10
persons per ng/m BaP.
The Carcinogen Assessment Group (CAG 1978) of the Environ-
mental Protection Agency reviewed a number of epidemiological
and animal studies in an attempt to estimate the "excess lung
cancer incidence" resulting from lifetime exposure to polycyclic
IV-17
-------
DRAFT
organic compounds. For their overall estimate, CAG (1978)
took the geometric mean of the estimates derived from four
epidemiologic studies. (Using the geometric mean produces
lower estimates than using the arithmetic mean. If risk is
linearly related to exposure, the arithmetic mean is more appro-
priate.) This overall estimate was expressed as 0.28% excess
lung cancer "incidence" (a slight misnomer since all the studies
were mortality studies) per ng/m of BaP. As a percentage,
this estimate is a ratio of the estimated excess lung cancer
mortality rate to the background rate. This would correspond
to about 0.11 deaths/10 persons per ng/m3 BaP.
By expressing the estimate in this way, CAG (1978) assumed
that the effect of exposure to each ng/m of BaP is dependent
on the background rate of lung cancer mortality in the exposed
population. This means that if the background rate is high,
the effect would be large, but if the background rate were
low, there would be little or no effect. It is reasonable
/
to expect that the magnitude of the effect attributable to
BaP will vary as a function of the presence or absence of sub-
stances (such as cigarette smoke or other carcinogenic air
pollutants) that interact with BaP in the induction of cancer.
However, it is not clear why this variation should otherwise
depend on the background mortality rate of lung cancer.
In 1982, CAG (1982) updated one of the 1978 estimates.
Reviewing the results of epidemiological studies of workers
exposed to coke oven emissions, they estimated that the unit
IV-18
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DRAFT
risk (for males) of dying from lung cancer as a result of a
_c 3
working lifetime of exposure to BaP is 9.25 x 10 per ng/m
«. t:
of BaP. This corresponds to a rate of about 0.14 x 10 3 deaths/year
per ng/mg of BaP. However, this estimate is not comparable with
some others in Table IV-1, because it was calculated exclusively
for exposure to products of incomplete combustion (as indexed
by BaP), whereas others were calculated for air pollution (as
indexed by BaP) with other pollutants assumed to be present
in proportion to the BaP values. The latter type of calculation
includes the effect of compounds of air pollution other than
products of incomplete combustion (such as asbestos and synthetic
organic chemicals), whereas CAG's 1982 estimate does not.
CAG's 1978 estimate appears to have included and averaged esti-
mates of both types.
Wilson et al. (1980) derived an estimate of lung cancer
mortality of 0.2 x 10 per ng/m BaP using the data of Hammond
et al. (1976) on a group of roofers and waterproofers working
with pitch and asphalt. The estimate appears to be too low,
primarily because the comparison group was made up of other
members of the workers' own trade union, and this would tend
to underestimate the risk if other members of the trade union
were already at increased risk of lung cancer, as seems likely
from other occupational studies.
The estimates made by Carnow and Meier (1973) , Pike et
al. (1975), Hammond et al. (1976), CAG (1978), and some animal
studies of benzo[ajpyrene, assembled by Wilson et al. (1980)
IV-19
-------
DRAFT
indicated that the effect of BaP in the animal studies is much
less than the "enhanced" effect attributable to BaP from occupa-
tional or urban epidemiological studies. The arithmetic mean
of the estimates from the epidemiological studies led Wilson
et al. (1980) to what they called a "best estimate," of 0.5
deaths/10 persons per ng/m of BaP. There are several problems
with this "best" estimate, not least of which was that sevesral
of the separate estimates (Carnow and Meier 1973, Pike et al. 1975,
and Hammond et al. 1976) appear to have entered Wilson's calcula-
tions more than once.
The estimates derived by CAG (1978) differ from those made
by Wilson et al. (1980) (in their Table 5-4) from the same
studies. For example, Wilson et al. (1980) estimated the Carnow
and Meier (1973) respcr.je coefficient as 1.0 death/10 persons
per ng/m of benzo[a]pyrene. CAG (1978) reduced this estimate
to less than one-tenth of the figure estimated by Wilson et
al. (1980). Also, as indicated earlier, the estimate of Pike
et al. (1975) based on the data of Doll et al. (1965, 1972)
was modified by Wilson et al. (1980) to 0.8 deaths/10 persons
per ng/m of BaP. In the CAG (1978) analysis, this figure
was given as 0.57 deaths/10 persons per ng/m of BaP (160/10
divided by 283 ng/m of BaP) and then converted to a percentage
by dividing by an anomalously high background rate of lung
cancer mortality (0.57/1Q5 divided by 200/105=0.285%). This
final CAG estimate is close to CAG's overall figure of 0.28%
and converted to 0.12 deaths/10 persons by Wilson et al. (1980)
IV-20
-------
DRAFT
(0.28% x 40 deaths/105 persons = 0.11/105). (Note that Wilson
et al. used a background rate of 40/10 persons, while CAG
used a background rate of 200/10 persons—a five-fold differ-
ence. The age-adjusted mortality rate in the United States
for all respiratory cancers—i.e., lung cancer plus others—
was 45.9/105 persons in 1979.)
The last estimate listed in Table IV-1 was developed for
this report and takes account of criticisms and suggestions
made concerning earlier estimates (Clement 1981, Karch and
Schneiderman 1981). The detailed derivation of this estimate
is given in Appendix E. The estimate follows from the lung
cancer mortality data of Hammond and Garfinkel (1980) as reas-
sembled by Goldsmith (1980), standardized for age and smoking,
stratified by occupational exposure and location of residence.
These data show significant effects of urban residence and
occupational exposure independently, and.we calculate an attrib-
utable risk of 13% for occupationally exposed and 12% for non-
exposed categories. It is likely that these figures are biased
downwards (possibly by factors between 1.4 and 3.3, as discussed
Both Hammond and Garfinkel (1980) and Goldsmith (1980) expressed
the opinion that these data did not show a convincing effect
attributable to air pollution. However, neither set of authors
analyzed the data in the way presented here (in Appendix E)
to test the effect of urban residence. Hammond and Garfinkel
(1980) reported no statistical association between lung cancer
rates in the 1960s and measures of air pollution that were made
in 1968. They apparently assumed that no change in pollution
(relative or absolute) had taken place between the 1940s—when
the cancer cases that appeared in the 1960s were initiated—
and 1968 when their two air pollution measures were made.
IV-21
-------
DRAFT
on p. E-8) because of selection bias in the study population.
The population studied by Hammond and Garfinkel was more suburban,
higher percentage white, lower percentage blue collar, more
educated than the U.S. population as a whole. However, no
attempt is made to correct for this bias here.,
D. Summary
This chapter summarizes attempts to estimate the possible
magnitude of the association between lung cancer mortality
rates and air pollution levels. The index of air pollution
most commonly used has been the average atmospheric concentration
of benzo(a)pyrene (BaP). Using this index, however, creates
problems because average levels of BaP in the United States
have declined considerably since 1966 and probably were still
higher prior to 1966. However, it is not clear that overall
hazards posed by air pollution should have declined proportion-
ately, because there is evidence that levels of other potential
carcinogens have increased since 1940. BaP is thus no longer
a stable index of the carcinogenicity of polluted air, and
estimates made for one time period cannot be applied directly
to others. Thus, the estimates based on study of lung cancers
in the past cannot be used directly to predict future effects
of current pollution.
Recognizing this problem, Table IV-1 tabulates 13 estimates
(but not based on 13 independent studies) of the quantitative
relationship between lung cancer rates and air pollution levels
as indexed by BaP concentrations. Estimated slopes (regression
IV-22
-------
DRAFT
coefficients) of this relationship range from 0.1-5.0 x 10
lung cancer deaths/year per ng/m BaP. Some of these figures
should probably be adjusted downwards by factors of 2 to 4 to
take account of the likely reduction in BaP levels since the
1930s and 1940s when most effective exposures took place.
The estimates derived from studies in the general population
(0.8-5.0 x 10~5) are significantly higher than those derived
from studies of workers exposed to products of incomplete combus-
tion (0.11-0.8 x 10~5). This difference suggests that incomplete
combustion products are associated with only part of the excess
lung cancer rates observed in urban areas. Most of the studies
were based on lung cancer mortality data from the 1960s, and
the results are consistent with the hypothesis that at that
time factors responsible for the urban excess in lung cancer
were associated with about 11% of lung cancers in the United
States. In the one study in which both cigarette smoking and
potential industrial exposure could be accounted for, this
estimate was about 17%. These quantitative estimates can be
derived without resolution of the issue whether the unexplained
urban excess of lung cancer can or cannot be attributed confi-
dently to air pollution, which depends on interpretation of
data summarized in Chapter II.
IV-23
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OR/5
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YOUNG/ J.L., ASIRE, A.J., and POLLACK, E.S., eds. 1978. SEER
Program: Cancer Incidence and Mortality in the United
States: 1973-1976. National Cancer Institute, Bethesda,
Md. DHEW Publication No. (NIH) 78-1837
ZEIDBERG, L.D., HORTON, R.J.M., and LANDAU, E. 1967.
V. Mortality from diseases of the respiratory system
in relation to air pollution. Arch. Environ. Health 15:214-
ZIMMER, E.G., and HAENSZEL, W. 1956. Cancer in Iowa. Public
Health Service Publication No. 466. U.S. Government Printing
Office, Washington, D.C.
ZOLLINGER, H.U. 1953. Durch chronische Bleivergiflung erzeugte
Nierenadenome und carcinome bei Ratten und ihre Bezieghungen
zu den entspreshenden Neubilkungen des Menschen. Virchows
Arch. Pathol. Anat. 323:694
37
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DRAFT
APPENDIX A
TABLE II-l.
Urban-Rural and Other Geographic Studies
of Cancer: Code to Comments
a. Limited information on types, duration, and intensity
of exposure
b. SmoKing habits not taKen into account in design or analysis
c. Occupational exposures not taKen into account in design
or analysis
d. No information on socioeconomic variables
e. Dilution effect occurs due to migration
f. Dilution effect occurs due to labelling all residents
of certain geographic areas as "exposed" or "not exposed"
g. Cause of death as recorded on death certificate may be
inaccurate
h. SMR may be biased when numerators (counts of death) are
based on death certificates and denominators (population
counts) on census data
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-------
DRAFT
APPENDIX C
CALCULATION OF THE AGE-ADJUSTED LUNG CANCER RATES
IN MALES AND IN THE GENERAL POPULATION
According to the U.S. Bureau of the Census (1980), the
proportion of whites in the U.S. population in 1975 was 86.9%,
and for blacks the proportion was 11.5%, with 1.6% unclassified,
The proportion of males was 48.7%, and 51.3% of the population
was female. Pollack and Horm (1980) provided sex-specific
rates of lung cancer mortality per 10 persons, age adjusted
to the 1970 U.S. population, which are:
Males Females
Whites 64.8 15.5
Blacks 80.5 15.2
So for the male population, the rate of lung cancer mortality
per 10 persons is:
(64.8) (.869) + (80.5) (.115)
= 67
(.984)
For the general population, it is:
(.487)[(64.8)(.869)+(80.5)(.115)]+(.513)[(15.5)(.869)+(15.2)(.115)]
(.984)
= 40
C-l
-------
DRAFT
APPENDIX D
CALCULATION OF THE RISK OF LUNG CANCER TO
THE GENERAL POPULATION AS A PROPORTION OF THE RISK TO MALES
The risk of lung cancer mortality per ng/m of benzola]-
pyrene estimated by Pike et al. (1975) based on the data of Stocks
(1958) is 1.4 deaths/10 persons among smokers and 0.4 deaths/10
persons among nonsmokers. As discussed in Chapter II, the
magnitude of these risks per unit exposure are likely to be
underestimated, but the relative difference in risk of 3.5
(1.4/0.4) is probably reliable and is reported by Wilson et
al. (1980) as statistically significant. Because a number
of estimates were made for the risk of lung cancer mortality
among males .only, it was necessary to derive the risk to the
general population as a function of risk in males.
DHEW (1979) provided data on smoking habits in men and
women in 1977: 40% of men and 30% of women are smokers. (This
represents a decline in previous smoking habits.) The recent
data of Hammond and Seidman (1980) indicate that the relative
risk of lung cancer mortality among smokers is 8.53 in men
and 3.58 in women. We assume that the excess risk from air
pollution is proportionately the same (8.53/3.58 = 2.4). So
if the relative risk among male smokers is 3.5, the risk in
females will be 2.05 (1 * 1/2.4 x 2.5); we assume that the
risk among nonsmokers is the same in males and females (i.e.,
1.0). From the census data (U.S. Bureau of the Census 1980),
D-l
-------
DRAFT
the fraction of the population that is male is 0.487, and the
fraction of the population that is female is 0.513. Thus,
(0.487) 1(3.5) (0.4) + (1) (0.6)] +
(0.513) [(2.05) (0.3) + (1) (0.7)] = 1.65
The relative risk among all males is 2.0, and the relative
risk in the general population is 82.4% of the risk in males
(1.65/2.0).
D-2
-------
APPENDIX E
DERIVATION OF AN ESTIMATE OF THE PROPORTION
OF LUNG CANCERS ASSOCIATED WITH THE URBAN ENVIRONMENT
In this Appendix, we derive an estimate of the proportion
of lung cancers associated with the urban environment. Earlier
versions of this calculation were included in our previous
reports (Clement 1981, Karch and Schneiderman 1981), but these
have been modified to taKe into account criticisms of these
earlier versions and suggestions by CAG (1982) and other corn-
mentors.
Our estimate is derived from a study by Hammond and GarfinKel
(1980), together with additional information from the same
study presented by Goldsmith (1980). The data in these papers
were standardized for age and smoKing habits, and included
information on (self-reported) occupational exposure. (The
authors, however, did not give details of how the "corrections"
were made, or of the age distribution and smoKing habits of
their standard population). Although the data presented by
Hammond and GarfinKel (1980) were not fully described or given
in the 1980 paper, they were clearly derived from data obtained
in a survey sponsored by the American Cancer Society (ACS)
from 1959 to 1965 (Hammond 1972) . (Table 1 in Hammond and
GarfinKel 1980 is identical to Table 5 in Hammond 1972.)
We used these data as reassembled in another recent paper
by Goldsmith (1980). One can compare lung cancer mortality
E-l
-------
DRAFT
rates among men between urban and nonurban areas as Goldsmith
did by combining some groups to form three categories: "metropo-
litan areas of greater than one million," "other non-rural
places," and "non-metropolitan rural areas." The results of
Goldsmith's (1980) reassembly are found in Table E-l. These
data are plotted in Figure II-2 (above, p. 11-82) and show
a trend for increasing cancer mortality with greater urbanization
in both occupationally exposed and nonexposed persons, after
correction for smoxing. The use of three residence or exposure
categories in this sort of study has been questioned, but is
apparently common practice. See, for example, Hitosugi (1968)
and Vena (1982) who used similar categories.
These results provide a measure of the risK of death from
lung cancer among males that is attributable to an urban effect,
by contrasting the urban and the rural areas (i.e., by combining
the first two categories in Table E-l to compare with the third).
These risK ratios derived for the ACS population can be weighted
according to the proportion of the U.S. population in each
category in 1970 (U.S. Bureau of the Census 1980). The attrib-
utable risK for an urban effect can then be computed.
This computation is illustrated in Tables E-2 and E-3.
The residual urban effect, after correcting for smoKing, is
about 13% for both the occupationally exposed group of men
and 12% for the nonoccupationally exposed group of men. This
corresponds to a previously computed risK of 8.2 lung cancer
E-2
-------
DRAFT
TABLE E-l
LUNG CANCER DEATHS AMONG MEN BY PLACE OF RESIDENCE
AND OCCUPATIONAL EXPOSURES—SMOKING ADJUSTED—1959-1965*
Occupationally Exposed Not Exposed
Observed Expected Ratio Observed Expected Ratio
TOTAL 576 530.5 1.09 934 979.7 0.96
Chi sq.=6.03, p<0.02
Metropolitan
area city . 92 69.1 1.33 168 158.3 1.06
(1,000,000+)
Other non-rural
places 341 315.3 1.08 584 607 0.96
Nonmetropolitan
rural areas 143 146.1 0.98 182 214.4 0.85
Chi sq. = 9.75, p<0.01 Chi sq. = 6.4, p<0.05
SOURCE:Goldsmith (1980), Table 7; Hammond (1972)
*The observed and expected number of lung cancer deaths listed
by place of residence and by occupational exposure (to dust,
fumes, gases, or X-rays), and adjusted for age and smoKing
habits, is confined to men who had lived in the same neighbor-
hoods for more than 10 years. The subjects were among a pop-
ulation of 1,064,004 men and women studied by the American
Cancer Society (Hammond 1972).
E-3
-------
DRAFT
TABLE E-2
RELATIVE RISKS IN MEN OF LUNG CANCER MORTALITY
(ADJUSTED FOR AGE AND SMOKING)
BY RESIDENCE AND OCCUPATIONAL CATEGORY
Derived by Comparing Residents of Metropolitan Counties
and Urban Sections of Nonmetropolitan Counties with Residents
of Rural Sections of Nonmetropolitan Counties (25-State Study,
Confined to Men Residing in Same Neighborhood for Last 10 Years)
Occupationally
Exposed*
Not
Occupationally
Exposed*
Metropolitan Counties
Greater than 1 million residents
Less than 1 million residents
Nonmetropolitan Counties
Urban
Rural
Weighted Relative RisK, Urban**
(U.S. population 1970)
Overall Weighted Relative RisK***
1.26
1.17
0.99
1.00
1.19
1.16
1.14
1.18
1.00
1.16
1.17
SOURCE: Adapted from Hammond and GarfinKel (1980), Table 1, p. 208
*To dust, fumes, gases, or X-rays
**Relative risK of lung cancer mortality in metropolitan counties
and urban sections of nonmetropolitan counties (weighted according
to population data from U.S Bureau of the Census 1980)
***Weighted by the proportion of men in occupationally-exposed
and nonexposed categories in study population of Hammond and
GarfinKel (1980)
E-4
-------
DRAFT
Second, the aggregation of the data into three broad res-
idence categories by Goldsmith (1980) and subsequently into
two categories in Table E-2 may have obscured some differences.
Although Hammond and GarfinKel (1980) presented data for more
residence categories, these were aggregated by Goldsmith, and
it was not possible to use the disaggregated data because Hammond
and GarfinKel's residence categories cannot be matched to data
from the U.S. Census. In the absence of specific reasons to
suspect bias, aggregation of data is generally expected to
result in the reduction or masKing of associations by pooling
individuals with greater and lesser exposure within each cat-
egory.
Third, the study population in the ACS survey, although
it contained many residents of large urban areas, is not liKely
to have been representative of the entire U.S. population (cf.
Sterling 1975). It had a different age distribution and included
more white-collar worKers, higher educational levels, and a
higher socioeconomic class on the average than did the general
U.S. population. Thus, the proportion of occupationally exposed,
which was classified on the basis of self-reported exposure
to "dust, fumes, vapors, gases, or X-rays" (Hammond and GarfinKel
1980, p. 4) may be underestimated, and the proportion living
in urban areas with the highest air pollution levels (i.e.,
residents of inner cities)- may also be underestimated.
Several attempts have been made to estimate the possible
magnitude and consequences of this selection bias. Karch and
E-7
-------
Schneiderman (1981) suggested that the attributable risK from
urban residence (unexplained urban effect) might have been
underestimated by a factor of about 2.1: this estimate was
based on a comparison of the data of Hammond and GarfinKel
(1980) with those of Haenszel and Taueber (1962). Doll and
Peto (1981) suggested that the selection bias in the ACS study
had led to underestimation of the effects of alcohol by a factor
of about 2 (footnote c to Table 11), and to underestimation
of the effects of occupation by a factor of about 3.3 (p. 1244).
CAG (1982) matched data on social stratification of the ACS
population to data on the relationship between exposure to
BaP and socioeconomic stratification, and suggested that the
ACS population would have been exposed to average levels of
BaP only 70% of the U.S. average. Although all these estimates
are somewhat speculative, the consensus view is that selection
bias in the ACS study is liKely to have reduced the apparent.
magnitude of these risK factors by factors between 1.44 and 3.3.
Strictly, our estimates of attributable risK in Table E-3
are estimates of the "unexplained urban effect "—i.e., the
fraction of the excess urban lung cancer rate that is not ex-
plained by standardization for recorded differences in smoning
and occupation. In principle, this "unexplained urban effect"
might include contributions from other factors (such as unrecorded
aspects of smoKing behavior) as well as from air pollution.
However, in the remainder of this Appendix we will use our
estimates as a measure of the effects of air pollution. In
E-8
-------
DRAF
the absence of reliable data on air pollution levels at the
appropriate period in the 1930s and 1940s, we will relate the
excess cancer mortality in the 1960s to the level of 3.5 ng/m3
BaP characteristic of U.S. population exposure in the early
1960s (see CEQ 1980, and discussion in the text). (This pro-
cedure, although questionable, is similar to that used for
other estimates tabulated in Table IV-1, and its consequences
are discussed in the text.). Using CAG's (1982) estimate that
the ACS population was exposed to an average level of BaP only
0.70 times the U.S. average, we estimate the average exposure
of the ACS population to be about 2.5 ng/m BaP.
Related to an average exposure to air pollution character-
ized by 2.5 mg/m BaP, an estimate of 5.5 deaths/10^ persons/year
corresponds to a dose-response coefficient of 2.2 deaths/10
persons per ng/m BaP. This is the figure included in Table IV-1.
E-9
-------
DRAFi
APPENDIX F
TIME TRENDS IN LUNG CANCER RATES
In principle, changes in mortality and incidence rates
with time can provide clues as to the causes of disease. Changes
in exposure to a causative agent should, after appropriate
latent periods, be followed by changes in incidence and mortality
of the disease in the exposed cohorts. Thus trends in age-
and sex-specific incidence and mortality rates can provide
supporting evidence for the existence of an association that
is hypothesized for other reasons. Likewise, observed trends
that are not consistent with an hypothesized association may
provide substantial evidence against the hypothesis—or at
least indicate that another causative factor is involved.
To test the hypothesis that air pollution plays a role
in the etiology of cancer, it would be desirable to compare
age- and sex-specific trends in cancer rates to earlier trends
in exposure to air pollution. However, as explained in Section
II.D.2.d of this report, there is insufficient evidence in
trends in exposure to make specific predictions, since downward
trends in the ambient concentrations of some air pollutants
have been offset by upward trends in others. However, data
on trends in cancer rates are of some importance in considering
one specific issue. Doll and Peto (1981) presented arguments
that available data on trends in lung cancer rates could be
adequately explained by the available information on changes
F-l
-------
in smoking habits, without the necessity for invoking other
causative factors. This conflicts with an earlier conclusion
by Schneiderman (1978). In this appendix we review data bearing
on this dispute, including more recent analytical studies by
Manton (1982) and Janis (1982). This review is necessarily
limited to lung cancer, because there are insufficient data
on the contribution of smoking to cancers at other sites.
Examination of the data on cancer deaths in the United
States for the last 30 years reveals a steady increase in the
overall age-adjusted mortality rate (USDHEW 1980). Incidence
rates have also increased, although not as consistently. Between
the First National Cancer Survey in 1937-39 and the Second
National Cancer Survey in 1947-48 (Dorn and Cutler 1959), the
overall age-adjusted incidence rate for cancers at all sites
rose by approximately 11%. Subsequently, between the Second
National Cancer Survey and the Third National Cancer Survey
in 1969-71 (Cutler and Young 1975), the age-adjusted incidence
rate declined by 4%. In analyzing data from the Third National
Cancer Survey and the NCI Surveillance, Epidemiology, and End
Results (SEER) program (Young et al. 1978), Pollack and Horm
(1980) concluded that, between 1970 (average of 1969-71) and
1976, the overall age-adjusted cancer incidence rate was again
rising. They found an increase of approximately 10% during
that 5-year period. Because age-specific trends in cancer
are not constant across all ages (i.e., decline in youngest
F-2
-------
DRAFT
age groups and increase in older groups), it is important to
examine age-specific rates separately.
There is evidence that the Third National Cancer Survey
produced inconsistent estimates for the 3 years 1969-1971;
1969 appears to have included some prevalence cases, i.e.,
cases diagnosed earlier than 1969, and 1971 (the last year
of the survey) may have been under-reported. Pollack (1980)
has since reported incidence data derived completely from the
SEER program for 1973-1977, which should be free of these poss-
ible flaws. The SEER data show increases in total (age-adjusted)
cancer incidence of 6.8% in white males, 3.8% in white females,
3.4% in black males, and 2.4% in black females during the 4-year
period.
A major portion of the increase in cancer mortality and
incidence rates is due to an increase in lung cancer. This
increase in lung cancer is a general phenomenon in industrial
countries. Increases in cancer of the respiratory tract are
appropriately attributed largely to cigarette smoking, and
secondarily to occupational exposure, environmental pollution,
or other sources.
In England and Wales, for example, there was a 10-fold
increase in death rates from lung cancer from 1901 to 1930
and an additional 10-fold increase from 1930 to 1960 (Katz
1964). In Canada, the male death rate from lung cancer increased
from 3.0 per 100,000 in 1930 to 24.6 per 100,000 in the 1960
population (Katz 1964). In Switzerland, a 32-fold increase
F-3
-------
DRAFT
occurred between 1900 and 1952 (Cleary 1963). From 1933 to
1960, the annual lung cancer death rate in Australia increased
from 3.15 per 100,000 to 28.9 per 100,000 for males and from
2.02 per 100,000 to 4.2 per 100,000 for females (Cleary 1963).
In the United States, the lung cancer mortality rate for
males has increased more than 25-fold in 45 years and is now
increasing even more rapidly for women (NCHS 1980). During
the period between the Second National Cancer Survey and the
Third National Cancer Survey (1947-1970), the incidence of
lung cancer more than doubled in men and women, and in blacks
and whites (Dorn and Cutler 1959, Cutler and Young 1975).
Rates for black males have increased more rapidly than for
white males. Projections for 1981 are 122,000 new cases of
lung cancer and 105,000 deaths (ACS 1980).
A comprehensive study of lung cancer in Western Europe
was made in 1969 by the World Health Organization (WHO) Working
Party on Cancer Statistics. The study revealed that over the
previous 10 years, lung cancer mortality had increased by 8%
for males and 3.1% for females. The conclusion was that the
observed increase in lung cancer death rates was real and not
an artifact of better diagnosis or reporting or of longer life
span.
In West Germany, lung cancer deaths increased from 6,296
in 1952 to 15,000 in 1965. According to Wagner (1971) during
this period there was no significant change in efficiency of
diagnosis or reporting. To determine whether increases in
F-4
-------
lung cancer (in Denmark) were real or due to more accurate
diagnosis, X-rays taken during the course of examinations for
detection of pulmonary tuberculosis were reexamined. The X-rays
did not reveal many misdiagnosed cancers, and it was concluded
that a true increase in lung cancer incidence had occurred
(WHO 1969).
There is considerable disagreement over the full set of
reasons for these increasing rates. Both direct industrial
exposure and air pollution levels have been suggested as contri-
buting to the increases—as well as cigarette smoking (Davis
and Magee 1981). Doll and Peto (1981) compared age-specific
lung cancer mortality in England and Wales with lung cancer
mortality in the United States, relating each to cigarette
smoking (their tables E5 and text Figure E4, summarized here
in Table F-l). From about 1900 to 1920, British cigarette
sales were higher (per capita older than 15) than U.S. sales
(per capita older than 18). From 1920 to 1940, U.S. and British
sales were almost equivalent; from roughly 1942 on, U.S. sales
have been substantially higher than in Great Britain. In the
youngest age groups (30-34 and 35-39), mortality per million
men in 1978 was almost identical in the two countries. This
appears to be inconsistent with the substantially greater number
of cigarettes consumed after 1940 by U.S. men if cigarette
smoking were the sole cause. For the age groups 40-44 and
45-49, U.S. mortality in 1978 was 25-40% higher than in Great
Britain. For men older than 55, the mortality rates in Great
F-5
-------
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Britain in 1978 were substantially higher, despite the fact
that average numbers of cigarettes smoked were roughly equal
at the time these men started smoking. The Doll and Peto tabu-
lation ends at age 69. In the United States, the greatest
increases in lung cancer mortality between 1968 and 1978 were
in men aged 75-84 (Davis et al. 1982).
Two possible explanations for these inconsistent results
suggest themselves: (1) other characteristics of smoking,
such as the age at starting, are (or were) substantially lower
in Great Britain than in the United States, and/or (2) other
things in the environment (e.g., industrial exposure, air pol-
lution) led to higher rates in Great Britain despite lower
smoking levels than in the United States.
There is at least one other way of looking at the time-
trend (cohort) data. The U.S. Surgeon General, in his report
entitled Health Consequences of Smoking (1982, pp. 51, 53,
and p. 56-57), has reported smoking data by year of birth (in
10-year intervals—e.g., 1901-1910) and cancer mortality for
age-specific groups (e.g., 30-34, 35-39, etc.). From these
data it is possible to find birth cohorts with similar cigarette
smoking patterns and then to compare their lung cancer mortal-
ities at specific ages. (See Figures F-l, F-2, and F-3, derived
from Figures 12, 14, and 16 of that report.) For example,
for men born between 1901 and 1910, 62% was the maximum that
ever smoked. The next cohort with a similar maximum was the
group born between 1931 and 1940. The median age of starting
F-7
-------
DRAFT
FIGURE F-l
CHANGES IN THE PREVALENCE OF CIGARETTE SMOKING
AMONG SUCCESSIVE BIRTH COHORTS OF MEN, 1900-1978
«2i-30
MEN
1941-50
1951-60
1900 1910 820 1930 1940 850 I960 870 i960
YEAR
Note: Calculated from the results of over 13,000 interviews
conducted during the last two quarters of 1978, provided
by the Division of Health Interview Statistics, U.S.
National Center for Health Statistics
SOURCE: USDHHS 1982
F-8
-------
DRAFT
FIGURE F-2
CHANGES IN THE PREVALENCE OP CIGARETTE SMOKING
AMONG SUCCESSIVE BIRTH COHORTS OF WOMEN, 1900-1978
WOMEN
631-40
800 eo «ao ex 1940 «o eeo STD sao
1951-60
1941-50
Note: Calculated from the results of over 13,000 interviews
conducted during the last two quarters of 1978, provided
by the Division of Health Interview Statistics, U.S.
National Center for Health Statistics
SOURCE: USDHHS 1982
F-9
-------
DRAFT
FIGURE F-3
MORTALITY RATES FOR MALIGNANT NEOPLASMS OF THE
TRACHEA, BRONCHUS, AND LUNG, FOR WHITE MEN AND WHITE WOMEN,
BY BIRTH COHORT AND AGE AT DEATH, UNITED STATES,
5-YEAR INTERVALS DURING 1947-1977
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•UtTHCOHMT
Note
Calculated from the results of over 13,000 interviews
conducted during the last two quarters of 1978, provided
by the Division of Health Interview Statistics, U.S.
National Center for Health Statistics
SOURCE: USDHHS 1982
F-10
-------
DRAFT
to smoke was about 17 for the 1901-1910 men, and about 16 for
the 1931-1940 cohort. The lung cancer mortality rates for
men aged 40-44 years born in 1931-1940 were almost double the
rates for men born 1901-1910, whose smoking patterns were similar,
For women the comparable smoking cohorts are 1921-1930 and
1931-1940, separated by only 10 years. The second (more recent)
cohort of women has a 25-60% higher lung cancer mortality rate
at comparable ages (30-44); a 25% increase in 10 years is equiva-
lent to a doubling in 30 years: (1.25)3 = 1.95.
Table F-2 gives the smoking data for men. Similar data
for women can be derived from the Figures F-l, F-2, and F-3
from the Surgeon General's report.
TABLE F-2
SMOKING HISTORY: U.S. MALES
Decade of
Birth
(mid-year)
(1)
1891-1900 (1895)
1901-1910 (1905)
1911-1920 (1915)
1921-1930 (1925)
1931-1940 (1935)
1941-1950 (1945)
1951-1960 (1955)
Maximum
Percent
Smoking
(2)
47
62
72
70
61
58
Possibly
Year of
Maximum
(3)
1924
1938
1946
1952
1962
1968
not yet
Year of
50% of
Maximum*
(4)
1913
1922
1933
1942
1951
1961
reached
Median Age
Beginning
to Smoke
(4)-(l)
(5)
18
17
18
17
16
16
Inappropriate
*Year of median starting to smoke
F-ll
-------
DRAFT
Calculations attributing increases in lung cancer to a
single cause, such as smoking, ignore the multicausal nature
of carcinogenesis and possible interactions with air pollution
or other factors. Although there is little doubt that cigarette
smoking has played a major causative role in the increase in
lung cancer, not all lung cancer, even among those who smoke,
can be attributed solely to cigarettes.
The discrepancy noted between the trends in lung cancer
mortality rates for U.S males (rate of increase now decreasing)
and U.S. females (rate of increase now increasing) has been
suggested as being incompatible with the argument that air
pollution has a major influence on lung cancer rates. These
trends are said to be more consistent with changes in cigarette
consumption (with a 20-year lag period) (Doll and Peto 1981).
However, rates in black women, who smoke less and who in general
started smoking at a later age, are almost identical with rates
in white women—and have increased equally rapidly.
Schneiderman (1978) attempted to account for the effects
of smoking on trends in cancer rates by estimating the proportion
of lung cancer, as well as several other types of cancer, that
could be attributed to cigarette smoking at different time
periods. When this proportion was subtracted from the total,
he found that there had been a substantial increase in the
residual lung cancer rate, i.e., the fraction of lung cancers
attributable to factors other than smoking, between 1947 and
1969-1971. More recently, Schneiderman (1979), using the data
F-12
-------
DRAFT
of PollacK and Horm (1980), to calculate the increases between
the Third National Cancer Survey and the 1976 SEER survey in
lung cancers not related to smoKing, found that the fraction
of lung cancers not attributable to smoKing had risen substan-
tially during that period. Schneiderman1s methodology is,
however, deficient in at least two respects: (1) he attributed
all "interaction-with-smoKing" cancers to smoKing alone, and
(2) he neglected cohort effects.
Several more sophisticated attempts have been made to
taKe cohort effects into account in looKing at the time trends
in lung cancer. In one of these, Manton et al. (1982) commented
on their own findings and those of two other published studies:
These results suggest that, at most, we can attribute
between 79 and 92 percent of the increase (from 1950
to 1977) in U.S. white male lung cancer mortality
to corresponding increases in cigarette consumption.
For U.S. white females the pattern is less obvious
with between 62 and 100 percent of the increase in
lung cancer as the maximum attributable to smoKing.
Manton cited two cohprt studies of British data (Townsend 1978,
Stevens 1979) that showed attributable risKS for males at 94%
and 89%, and for females at 71% and 94%, respectively. It
was not clear if these attributions were percentages of total
lung cancers, or percentages of changes.
Two additional cohort studies have been recently published
(Osmond 1982, Janis 1982). The study by Osmond discussed lung
cancer in women (and bladder cancer in men) and noted
...that women started smoKing later than men is
reflected in the later position of the peaK cohort
for lung cancer, 1925/6 rather than 1900/1. Numbers
of cigarettes smoKed by successive generations of
F-13
-------
DRAFT
either sex (in the U.K.) have not declined to any
great extent, raising the question as to what has
caused lung cancer decreases (in younger persons).
Reduction of tar content of cigarettes has been
suggested (Doll and Peto 1981), but not unanimously
accepted (Gerstein and Levison 1982). Alternatively,
reductions of air pollution may have been important.
Janis noted that the peaK cohort for British and U.S. (white)
males was the same (1900); this implies temporal similarities
in cigarette-smoKing patterns in the two countries, which in
turn raises questions as to why age-standardized rates of lung
cancer have begun to fall in Great Britain, but not in the
United States. These several studies raise doubts about the
cohort effect (reflecting between-cohort differences in cigarette
smoKing patterns) as the sole reason for the continuing increase
in lung cancer mortality in the United States.
The Manton data, however, indicated a possible U.S. peaK
cohort born later than 1891-1900, although at the time of the
Manton review the peaK rate had occurred in white men born
about 1900. In contrast to Janis, Manton found that the highest
"susceptibilities" were in the youngest cohort, but that the
rates for these men, in turn, were liKely to be modified (down-
ward) by decreasing proportions of regular smoKers and by caanged
(lower tar) cigarettes. No studies of cohort effects in blacK
males, who currently have a 40% higher lung cancer mortality
rate than white males despite lower (tar-weighted) cigarette
consumption, have come to our attention.
Janis (1982) reported an independent "year" effect (i.e.,
a temporal effect not associated with a specific cohort effect)
F-14
-------
DRAFT
with increasing risK year-by-year. Manton's model has an opera-
tional counterpart in a measure of "susceptibility." For each
succeeding cohort Manton found increasing "susceptibility"
over time in both men and women. A possible explanation of the
findings of both Janis and Manton is an interaction among envi-
ronmental or industrial pollutants that may have increased
over time, giving an appearance of a "year" effect (or increased
susceptibilities of cohorts). Janis also noted that British
lung cancer rates rose more rapidly than U.S. rates, and have
now begun to fall more rapidly. This, too, suggests an inter-
action with general air pollution (higher in Great Britain),
which has sharply abated in Britain (since the 1950s-1960s).
As noted earlier, U.S. lung cancer rates have not been as high
as British rates, particularly at older ages. Consistent with
the cigarette smoKing explanation is the rapid decline in lung
cancer mortality (relative to continuing smoKers) after cessation
of smoxing. That conditions in Britain are not strictly compar-
able to those in the United States is suggested by the fact
that, among British physicians who have stopped smoKing, lung
cancer mortality rates appear to level off (after 15 or more
years cessation) to about twice those of nonsmoKers (Doll and
Peto 1977), whereas in the United States it has been reported
that the rates of stopped smoKers, after 15 years of not smoKing,
reach those of men who never smoKed (Wynder et al. 1970).
A recent report of the National Academy of Sciences/National
Research Council (Gerstein and Levison 1982) raised substantial
F-15
-------
DRAFT
doubts about the positive health effects of reduced tar/nicotine
cigarettes. The report concluded
...while some large scale studies have suggested
small gains in health due to using lower T/N (or
filter rather than non-filter) cigarettes, other
population-wide studies do not support this view.
Thus, the evidence for switching to lower T/N cig-
arettes is doubtful." (Emphasis original)
Calculations based on the National Cancer Institute data
for 1973-1977 (SEER), which did not include cohort effects,,
suggested that less than 20% of the increased incidence in
cancer in white males, and less than half the increased inci-
dence in white females, were attributable to cigarette smoKing
(Schneiderman 1978). These estimates did not tane into account
interactions or the reduced proportion of all adults smoKirig
cigarettes and the reduced tobacco and tar content of the ciga-
rettes sold since 1965 (USDHEW 1979).
The increase in lung cancer incidence and mortality during
the 1970s is of particular interest. Such a change is consistent
with an increase in exposure to some environmental factor or
factors other than smoKing during the 1940s or early 1950s.
As noted by Rail (1978), Epstein (1978), and Davis and Magee
(1979), this is the period of the initial rapid growth in the
synthetic organic chemical production, as well as a period
of increased activity in other industries, including the use
of asbestos.
Evidence that there have been increases in lung cancer
independent of smoKing habits was given by Enstrom (1979),
who studied lung cancer mortality rates for nonsmoKers in the
F-16
-------
DRAFT
United States. He found that these rates had risen considerably
between 1914 and 1968 and appear to have doubled during the
period between 1958 and 1968. This finding was questioned
by Doll and Peto (1981) on the grounds that Enstrom may have
included ex-smoKers in his nonsmoKer category. Enstrom1s finding
is in contrast that of GarfinKel (1981b) who reported no such
increase in the population followed by the American Cancer
Society.
GarfinKel also cited a similar result from the nonsmoKers
in the Dorn study of veterans (Rogot 1980). On closer examina-
tion, however, both these sets of data exhibit peculiarities
(or fluctuations), due to small numbers or possibly to reporting
errors. Following specific birth cohorts, three of GarfinKel's
groups of male nonsmoKers (persons born about 1916, 1901, and
1886) showed declines in age-specific rates in the third time
period—to levels in the 1916 and 1901 cohorts below those,
shown by any of the other cohorts at the same attained age.
(The 1886 cohort could not be used in this comparison because
other cohorts had not attained ages 85-89.) This is contrary
to the general pattern of increase in cancer mortality rates
with increasing age (except for the very oldest persons).
Excluding these aberrant points, which suggest that recent
follow-up may have been incomplete, each succeeding cohort
of males shows a higher lung cancer rate (at the same attained
age) than the preceding cohorts—with only one exception:
men born about 1896 had lower rates at ages 70-74 than did
F-17
-------
DRAFT
men born about 1891 (26.4 vs. 32.3). The data for the women
in the ACS study show similar patterns (with the 1916 cohort
also showing an unexpected inversion in the last follow-up
period). The rates for women nonsmoKers, which are based on
larger numbers, are otherwise more consistent than those for
men. The Dorn data are also erratic. The 1901 cohort has
lower lung cancer rates reported for ages 60-64 than for ages
55-59. Except for this and one other data point (men born
about 1896, attained age 65-69), the men reported in the Dorn
data show somewhat higher rates for the same birth cohorts
and for the same attained ages than the ACS study. This is
in Keeping with the nature of the ACS sample—somewhat less;
urban, somewhat less "blue-collar", somewhat higher education
and social class than the United States as a whole. The Dorn
population, while derived only from men healthy enough to have
been in the military, is liKely to be closer to the general.
U.S. population.
It is worth noting that Dean et al. (1978) also reported
substantial increases in rates among nonsmoKers. In contrast,
Doll (in Magnus 1982) apparently assumed no change over time
in lung cancer mortality among nonsmoKers in the United States
from 1933 to 1977. This is rather surprising because in his
Figure 1 (page 224) in which he plotted rates for nonsmoKers
(age-adjusted) for 1960-1972 (from Hammond), the nonsmoKer
rates for several of the early years are higher than the rates
F-18
-------
DRAF1
for the total populations, also age-standardized—considered
separately by sex.
Attempts have been made to study the trends in cancer
mortality rates following apparent reductions in pollution.
Higgins (1974) was able to account for increases in lung cancer
in the United States and England up to about 1970 by changes
in smoKing habits. He found more recent rates inconsistent
with cigarette smoxing. He attributed the decline in lung
cancer rates in England, which began as early as 1960, to the
dramatic reduction in air pollution. This relationship is
supported by the finding that the earliest (and greatest) reduc-
tion in lung cancer rates occurred in London where there was
also the earliest and greatest reduction in measured air pollu-
tion. A similar conclusion appears to have been reached by
Lawther and Waller (1978) , who found that the lung cancer trends
from 1951 to 1973 in Greater London and the rural districts
of England and Wales were moving in opposite directions. The
rates declined in London, where the Clean Air Acts had been
first put into effect, while they were increasing in the rural
areas. Todd et al. (1976), in analyzing cancer mortality rates
and cigarette consumption in England, found additional evidence
supporting the hypothesis that atmospheric pollution interacted
with cigarette smoKing to increase the incidence of lung cancer.
They argued that the finding that the male cohorts with the
highest "cumulative consumption of constant tar cigarettes"
were 5 or 10 years younger than those that experienced the
F-19
-------
highest age-specific lung cancer mortality rates (at all ages
between 30 and 59 years) implied the existence of etiological
agents (in addition to cigarette smoKing) that influence the
development of lung cancer in humans.
F-20
-------
DRAFT
APPENDIX G
CRITIQUE OF TWO RECENT REVIEWS
This Appendix discusses two recent reviews which have
concluded that the contribution of air pollution to cancer
risks is small and/or indeterminable. Doll and Peto (1981)
presented a comprehensive review of data on cancer rates in
the U.S. population and their known or presumed association
with various environmental factors. Their final conclusion
(Table 20) was that about 2% of all cancer deaths in the U.S.
(possible range, less than 1% to 5%) could be attributed to
pollution of all kinds. This estimate appears to include about
1% attributed to the effect of urban air pollution on lung
cancer (p. 1248). Although this estimate is consistent with
others reviewed in this report (see Table IV-1), Doll and Peto
expressed considerable reservation about the reliability of
these estimates and the methods used to derive them.
The precise basis of Doll and Peto's conclusions is diffi-
cult to determine from their paper. In their section on air
pollution (pp. 1246-1248) they cited no specific epidemiological
studies of the association between cancer rates and any specific
pollutants, and only two studies of urban/rural differentials.
One of these was their own unpublished study of British doctors,
presented in a footnote (see Section II.B of this report for
discussion). The other was the paper by Hammond and Garfinkel
(1980): they cited this paper as demonstrating an urban/rural
G-l
-------
differential after standardizing for age and six categories
of current smoking. They then added:
These differences do not allow for differences attri-
butable to occupational hazards but even so are
not large, and much or all of them might be due
to the expected effects of early cigarette usage.
The authors allowed for occupation by examining
separately men exposed and not exposed to dust,
fumes, etc. and concluded that their data offer
"little or no support to the hypothesis that urban
air pollution has an important effect on lung cancer."
It is evident from these statements that Doll and Peto had not
conducted an independent analysis of these data (cf. Appendix E)
Doll and Peto expressed considerable skepticism about
the possibility of detecting effects of urban air pollution
(or other regional effects):
Some investigators have attempted to estimate the
effect of pollutants by comparing the lung cancer
mortality rates in different areas and "making allow-
ance" for differences in smoking habits by retrospec-
tive inquiry of the amount smoked by representative
residents. We doubt, however, whether it is possible
in this way to disentangle the effects of smoking
and environmental pollution, especially in those
studies that have examined cancer rates only within
categories of men with such broadly similar smoking
habits as nonsmokers (including ex-smokers), current
smokers smoking 20 cigarettes a day or less, and
current smokers smoking more. Such broad classes
are hardly likely to take account of differences
in a habit which may affect the incidence of lung
cancer by up to fortyfold sufficiently accurately
for a twofold urban-rural difference to be estimated
with certainty.
They continued by pointing out the difficulty of controlling
for other aspects of smoking, including age at starting, type
of cigarette, depth of inhalation, etc. (see Chapter II).
However, their discussion of urban/rural differences in these
aspects of smoking was speculative, and they did not cite any
G-2
-------
DRAFT
specific data (such as those of Haenszel et al. included in
this report as Table II-4) on urban/rural differentials in
these aspects of smoking. They did not cite the study of Dean
et al. (1977, 1978) in which these factors were measured,
reported, and controlled for.
Much of Doll and Peto's skepticism about the role of air
pollution appears to stem from their conclusion that cigarette
smoking can account for most, if not all, of the geographical
and temporal patterns in lung cancer rates. (They did not
discuss effects of air pollution at sites other than the lung.)
They estimated that as much as 91% of lung cancer in males
and 78% of lung cancer in females was attributable to cigarette
smoking. These figures are higher than most other estimates,
and the method used for arriving at them is subject to upward
bias. Specifically, Doll and Peto used the data from the ACS
survey (Garfinkel 1980) to estimate lung cancer rates in non-
smokers, used these rates to estimate the number of lung cancers
that would have occurred in the United States without smoking,
and attributed all the rest to smoking. However, as pointed out
earlier, the ACS survey was a biased sample of the U.S. popula-
tion. Doll and Peto recognized this bias in their calculation
of risks due to alcohol (Table 11) and occupation (p. 1244),
for which they estimated that the ACS sample underestimated
national risks by factors of 2.0 and 3.3, respectively. However,
they did not take any account of this bias in their estimate
G-3
-------
DRAFT
of smoking risks. Also, Doll and Peto's procedure would include
all interactions in the category of cancers attributed to smoking.
Doll and Peto's actual numerical estimate of the fraction
of cancers attributable to air pollution appears to be derived
from the study of Pike et al. (1975) and the more informal
review by Cederlof et al. (1978), both of which led to
the conclusion that atmospheric pollution, in conjunc-
tion with cigarette smoke, might have contributed
to some 10% of all cases of lung cancer in big cities
(and so to a few percent of lung cancer in the country
as a whole, i.e., about 1% of all cancer).... These
crude estimates provide the best basis for the forma-
tion of policy.
Doll and Peto did not review the other studies listed in Table IV-1
in this report, and did not consider the point made in Chapter IV,
that extrapolation from data on persons exposed to high concentra-
tions of products of incomplete combustion, using BaP as an
index, yields estimates only of the fraction of lung cancers
associated with these components of air pollution, and not
with other components.
In summary, Doll and Peto's conclusions about air pollution
were informal and do not appear to be based on a critical review
of the limited literature which they cited.
Shy and Struba (1982) presented another review of scientific
evidence on the association between air pollution and cancer.
They recognized the existence of four of the "converging lines
of evidence" that have been reviewed in this report: the unex-
plained urban factor, the known carcinogenic effects of combustion
products in workers occupationally exposed to high concentrations,
G-4
-------
DRAFT
the geographic correlations between lung cancer rates and some
indices of air pollution, and the presence of carcinogenic sub-
stances in ambient air. However, they concluded:
In spite of these converging lines of evidence, we
will argue in this section that firm conclusions
about air pollution and lung cancer are simply not
warranted by the current state of knowledge. Serious
deficiencies exist in making even qualitative esti-
mates of persons exposed or not exposed to atmospheric
carcinogens. Analytic (individual risk) studies of
air pollution as a human carcinogen have not yet
been reported, and none of the epidemiologic studies
allows one to make a direct link between lung cancer
incidence and exposure to air pollution. The support-
ing arguments for this judgment will be given as we
review the epidemiologic evidence in the following
parts of this section.
Although Shy and Struba cited more studies of the associa-
tion between air pollution and cancer rates than Doll and Peto,
they nevertheless listed only a limited number of papers, and
did not cite the studies that we regard as individually most
persuasive (e.g.. Dean et al. 1978, Hammond and Garfinkel 1980).
They dismissed studies of urban/rural differentials with the
following incorrect statement:
Thus far, none of the studies provide even qualitative
estimates of personal exposure to ambient air pollution,
and all lack any quantitative data whatsoever on carcin-
ogenic levels in the ambient air.
As noted in the test, they dismissed as "extremely low" a calcu-
lated risk from ambient concentrations of BaP that actually
falls within the range of other estimates (see Table IV-1).
Although Shy and Struba1s critical approach to the studies
they cited is appropriate, their standards of proof seem unreason-
ably high:
G-5
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DRAFT
It would seem essential, in future epideraiologic
studies, to identify cohorts exposed to specific
classes of suspected atmospheric carcinogens, such
as formaldehyde in particle board, plastic vapors,
indoor cigarette smoke, classes of solvents in closed
environments, motor vehicle diesel exhaust, and
so on. Many of these exposure situations may be
best studied in an occupational setting, but the
characterization of chemical species and dose will
be difficult in any environment. General population-
based studies do not promise satisfactory results,
owing to the heterogeneity of exposure and lack
of individual data on confounding factors in most
such studies.
...The proposed approach for advancing our knowledge
in this area is to define individual exposure to
specific sources of atmospheric carcinogens,, to
attempt to characterize this exposure in terms of
specific organic chemical classes of compounds, and
to use these exposure characterizations as a basis
for well-designed analytic epidemiologic studies. It
is hoped that this approach will yield more testable
and refutable hypotheses than have been developed
to date.
Their insistence on rigorous, analytic (apparently prospective
and long-term) studies reflects a reluctance to consider the
weight of evidence provided by the large body of literature on
this subject, much of which they did not cite.
G-6
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DRAFT
APPENDIX H
DATA ON SMOKING HABITS IN NORTHEASTERN ENGLAND
Tables H-l to H-4 summarize data on three characteristics
of smoking habits (age at starting to smoke, depth of inhalation,
and proportion of filter cigarettes), stratified by age, sex,
and location of residence. These data were derived from a
survey in northeastern England and were originally published
as Tables H17, HIS, H21, and H24 in Dean et al. (1978).
H-l
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DRAFT
TABLE H-l
DISTRIBUTION OF AGE AT STARTING TO SMOKE '
BY AREA AND SEX IN THE LIVING POPULATION, 1973
ZBton
Hale
Female
Stockton
Male
Female
Rural Districts
Male
Female
Number 35+
7,230
7,570
Age at starting to smoke
<15
15-19
20-24
25+
Smokers,
18.3
43.0
12.6
5.9
2.1
7.6
21.6
10.5
10.3
1.4
unclassified
Never smokers 18.1
48.5
18,370 20,460
19.0
48.2
15,380 16,510
14.5
41.5
11.5
8.2
5.4
4.7
23.1
8.9
13.2
1.9
11.7
36.3
10.3
5.7
6.9
2.2
17.8
8.3
8.7
1.7
29.1
61.4
H-2
-------
TABLE H-2
DISTRIBUTION OF AGE AT STARTING TO SMOKE
BY AREA AND SEX IN THE LIVING POPULATION, 1973
Baton
Number 35-44
Age at starting
<15
15-19
20-24
25+
Smokers,
unclassified
Never smokers
Male
2,270
to smoke
15.5
45.0
14.0
1.6
1.6
22.5
Number 45-54 2,070
Age at starting
<15
15-19
20-24
25+
Smokers,
to smoke
14.9
50.4
10.7
6.6
1.7
Female
1,980
11.7
37.9
15.2
4.1
0.7
30.3
2,080
12.4
25.5
11.7
8.8
2.9
Stockton
Male
4,950
9.4
47.2
11.0
4.7
8.7
18.9
5,680
11.8
45.7
9.4
7.1
5.5
Female
(1)
5,220
8.1
30.4
8.9
12.6
1.5
38.5
5,420
5.3
31.8
13.6
7.6
1.5
Rural Districts
Male
4,750
8.6
39.5
11.1
5.6
4.3
30.9
3,950
13.4
37.3
12.7
4.2
7.7
Female
4,460
1.2
27.2
10.1
8.9
1.2
51.5
3,920
5.4
25.9
10.9
6.1
2.7
unclassified
Never smokers 15.7
38.7
20.5
40.2
24.6
49.0
H-3
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DRAFT
TABLE H-2 (continued)
Baton
Male
(%)
Number 55-64 1,910
Age at starting
<15
15-19
20-24
25+
Smokers,
unclassified
Never smokers
Number 65+
Age at starting
<15
15-19
20-24
25+
Smokers,
to smoke
18.6
43.3
15.5
8.2
3.1
11.3
980
to smoke
28.4
27.0
9.5
9.5
2.7
Female
(1)
1,720
2.3
11.5
13.8
19.5
2.3
50.6
1,790
0.9
4.3
0.9
12.9
0.0
Stockton
Male
(%)
4,150
20.0
30.0
11.1
12.2
3.3
23.3
3,590
20.5
38.6
15.7
10.8
2.4
Female
(%)
4,330
5.2
17.7
6.3
22.9
2.1
45.8
5,490
0.0
9.8
5.7
12.3
2.5
Rural Districts
Male
(%)
3,420
10.8
35.1
7.2
7.2
8.1
31.5
3,260
14.8
31.5
9.3
6.5
8.3
Female
(%)
3,770
1.6
12.6
8.7
10.2
1.6
65.4
4,360
0.6
4.4
3.8
9.5
1.3
unclassified
Never smokers 23.0
81.0
12.0
69.7
29.6
80.4
H-4
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DRAFT
TABLE H-3
DISTRIBUTION OF DEPTH OF INHALATION BY DISTRICT AND SEX
IN THE LIVING POPULATION, 1973
Baton
Male
Female
Stockton
Hale
Female
Rural Districts
Male
Female
Number 35+
Inhalation
A lot
7,230
category
36.8
A fair amount 17.6
A little
None
Smokers,
15.7
10.0
1.9
7,570
17.5
10.3
14.0
9.5
0.2
18,370
29.0
19.7
12.9
12.9
6.6
20,460
12.2
11.8
13.8
12.8
1.2
15,380
22.8
15.5
13.4
14.5
4.8
16,510
9.0
11.6
10.0
6.8
1.2
unclassified
Never smokers 18.1
48.5
19.0
48.2
29.1
61.4
H-5
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DRAFT
TABLE H-4
PROPORTION OF MANUFACTURED-CIGARETTE SMOKERS
MHO SMOKE FILTER CIGARETTES—BY AREA, SEX AND PERIOD
FOR WHICH SMOKING HABITS REPORTED
Baton
Stockton
Rural Districts
Filter Smokers
Current
3-5 years ago
6-10 years ago
>10 years ago
Male
(%)
60.5
52.4
33.3
9.9
Female
(%)
83.6
75.5
51.3
23.6
Male
(%)
68.6
61.9
38.4
18.2
Female
(%)
86.9
76.4
63.4
35.4
Male
(%)
74.8
69.4
52.7
30.8
Female
(%)
88.0
83.6
71.2
45.8
H-6
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TECHNICAL REPORT DATA
(Please read Instructions on the reverse before completing)
1. REPORT NO.
EPA-450/5-83-006
2.
4. TITLE AND SUBTITLE
Review and Evaluation of the Evidence for Cancer
Associated with Air Pollution
6. PERFORMING ORGANIZATION CODE
7 AUTHOR(S)
I.C.T. Nisbet,
D.M. Siege!
8. PERFORMING ORGANIZATION REPORT NO.
M.A. Schneiderman, N.J. Karch,
3. RECIPIENT'S ACCESSION NO.
5. REPORT DATE
November 1983
9. PERFORMING ORGANIZATION NAME AND ADDRESS
10. PROGRAM ELEMENT NO.
Clement Associates, Inc.
1515 Wilson Boulevard
Arlington, Va. 22209
11 CONTRACT/GRANT NO.
EPA Contract No. 68-02-3396
12. SPONSORING AGENCY NAME AND ADDRESS
Pollutant Assessment Branch
Office of Air Quality Planning and Standards
U.S. Environmental Protection Agency
Research Triangle Park, N. C. 27711
13. TYPE OF REPORT AND PERIOD COVERED
Draft
14. SPONSORING AGENCY CODE
15. SUPPLEMENTARY NOTES
16. ABSTRACT
This draft report is a comprehensive summary and compilation of the scientific
evidence related to the hypothesis that cancer rates in human populations are
associated with their exposure to pollutants present in the ambient air. Critical
comments on the strength and weaknesses
methodological problems in the conduct
discussed. No overall judgments about
evidence are presented. This draft is
comment.
of the studies are presented and general
and interpretation of the studies are
the weight of the entire body of scientific
being circulated for technical review and
17.
KEY WORDS AND DOCUMENT ANALYSIS
DESCRIPTORS
Air Pollution/Cancer:
Scientific Evidence
b.IDENTIFIERS/OPEN ENCEDTERMS
Air Pollution/Cancer
c. COSATI 1'icld/Group
18. D'STRIBUl ION STATEMENT
|19. SECURITY CLASS (This Report)
21. NO. OF ;a.GES
Unlimited
20 SECURITY CLASS (This page)
22. PRICE
EPA Form 2220-1 (Rev. 4-77) PREVIOUS EOITION is OBSOLETE
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