Health: Adverse Birth Outcomes Methods Indicator H12. Percentage of babies born preterm, by race/ethnicity, 1993-2019. H13. Percentage of babies born at term with low birth weight, by race/ethnicity, 1993-2019. Summary Since 1960, the National Center for Health Statistics, a division of the Centers for Disease Control and Prevention, has compiled birth certificate registration data from states and other U.S. jurisdictions. The National Vital Statistics System (NVSS) online database includes birth certificate data for virtually all U.S. births from 1968 to 2019. Indicator H12 uses the NVSS data from 1993 to 2019 to calculate the percentages of babies that are born preterm, defined as a period of gestation of less than 37 completed weeks. Indicator H13 uses the NVSS data from 1993 to 2019 to calculate the percentages of babies that are both born at term, defined as a period of gestation of at least 37 completed weeks, and have low birth weight, defined as a weight less than 2,500 grams (5 pounds, 8 ounces). Tabulated results give the percentages of preterm and term low birth weight babies by calendar year and maternal race/ethnicity. Supplementary Tables: Tables H12a and H13a give the percentages of preterm and term low birth weight babies by calendar year and maternal age group (< 20, 20-39, and 40+). Tables H12b and H13b give the percentages of preterm and term low birth weight babies by calendar year and plurality (all, singleton, multiple). America's Children and the Environment April, 2022 Page 1 ------- Health: Adverse Birth Outcomes Data Summary The following table summarizes the number of data points that were used to support Indicators H12 and H13. For H12, for example, that is gestation period. For H13, both gestation period and birth weight are used. H12. Percentage of babies born preterm, by race/ethnicity, 1993-2019. H13. Percentage of babies born at term with low birth weight, by race/ethnicity, 1993-2019. Data U.S. birth certificates Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 Birth certificates 4,004,523 3,956,925 3,903,012 3,894,874 3,884,329 3,945,192 3,963,465 4,063,823 4,031,531 Missing 35,888 35,124 36,501 40,687 38,503 40,433 42,987 43,392 39,874 gestation period (0.9%) (0.9%) (0.9%) (1.0%) (1.0%) (1.0%) (1.1%) (1.1%) (1.0%) Missing gestation period 39,074 38,026 38,897 43,321 40,810 43,045 45,258 45,500 41,784 and/or birth weight (1.0%) (1.0%) (1.0%) (1.1%) (1.1%) (1.1%) (1.1%) (1.1%) (1.0%) Years 2002 2003 2004 2005 2006 2007 2008 2009 2010 Birth certificates 4,027,376 4,096,092 4,118,907 4,145,619 4,273,225 4,324,008 4,255,156 4,137,836 4,007,105 Missing 41,295 43,883 43,047 29,585 25,729 20,197 14,118 11,618 10,350 gestation period (1.0%) (1.1%) (1.0%) (0.7%) (0.6%) (0.5%) (0.3%) (0.3%) (0.3%) Missing gestation period 43,099 46,887 46,285 33,027 29,358 24,128 17,388 14,588 13,620 and/or birth weight (1.1%) (1.1%) (1.1%) (0.8%) (0.7%) (0.6%) (0.4%) (0.4%) (0.3%) Years 2011 2012 2013 2014 2015 2016 2017 2018 2019 Birth certificates 3,961,220 3,960,796 3,940,764 3,998,175 3,988,733 3,956,112 3,864,754 3,801,534 3,757,582 Missing 9,303 8,398 7,483 3,299 2,975 3,513 2,827 2,571 2,538 gestation period (0.2%) (0.2%) (0.2%) (0.1%) (0.1%) (0.1%) (0.1%) (0.1%) (0.1%) Missing gestation period 12,070 11,571 11,184 5,876 5,926 6,954 4,945 4,719 5,306 and/or birth weight (0.3%) (0.3%) (0.3%) (0.1%) (0.1%) (0.2%) (0.1%) (0.1%) (0.1%) America's Children and the Environment April, 2022 Page 2 ------- Health: Adverse Birth Outcomes National Vital Statistics System (NVSS) Natality Data The National Vital Statistics System (NVSS) is maintained by the National Center for Health Statistics, a division of the Centers for Disease Control and Prevention. The NVSS compiles national registration certificate data for births, deaths, marriages, divorces, and fetal deaths provided by various jurisdictions, including states. This indicator uses NVSS birth data to determine preterm and term low birth weight births. For 1993- 2006, Indicator H12 uses the gestation period variable GESTAT3 (GESTREC3 from 2003 to 2006) coded as follows: • 1 = Under 37 weeks • 2 = 37 weeks and over • 3 = Not stated This variable is a recode of the variable DGESTAT (COMBGEST from 2003 to 2017) that ranges from 17 to 47 and provides the number of completed weeks of gestation of the mother. For most of the births in the years 1993-2006 (e.g., 94% of births in 2006), the gestation period is based on the date of the last menstrual period. A preterm birth is defined as a birth with GESTAT3 = 1. Birth certificates with an unknown gestation period (GESTAT3 = 3) were excluded from the calculation of Indicator HI2. For 2007-2013, Indicator H12 uses the gestation period variable ESTGEST which is the obstetric or clinical gestation estimate and is coded as follows: • 17 to 47 = Completed weeks of gestation • 99 = Unknown or not stated Birth certificates with an unknown gestation period (ESTGEST = 99) were excluded from the calculation of Indicator HI2. For 2014-2019, Indicator H12 uses the gestation period variable OEGest_R3 which is calculated from the obstetric or clinical gestation estimate and is coded as follows: • 1 = Under 37 weeks • 2 = 37 weeks and over • 3 = Not stated This variable is a recode of the variable OEGest Comb that ranges from 17 to 47 and provides the number of completed weeks of gestation of the mother. Birth certificates with an unknown gestation period (OEGest_3 = 3) were excluded from the calculation of Indicator H12. Indicator HI3 uses the same gestation period variable GESTAT3 (GESTREC3 from 2003 to 2006, ESTGEST from 2007 to 2013, and OEGest_R3 from 2014 to 2019) and the birth weight variable BIRWT4 (BWTR4 for 2003 to 2019) coded as follows: America's Children and the Environment April, 2022 Page 3 ------- Health: Adverse Birth Outcomes • 1 = 1499 grams or less • 2 = 1500 - 2499 grams • 3 = 2500 grams or more • 4 = Unknown or not stated This variable is a recode of the variable DBIRWT (DBWT for 2004 to 2019) that ranges from 0227 to 8165 and gives the birth weight in grams. A term low birth weight birth has a gestation period of 37 or more completed weeks and a birth weight of less than 2,500 grams. Thus, for 1996-2002, a term low birth weight birth is defined by GESTAT3 = 2 and BIRWT4 = 1 or 2. Birth certificates with an unknown gestation period (GESTAT3 = 3) and/or an unknown birth weight (BIRWT4 = 4) were excluded from the calculation of Indicator HI 3. The birth plurality used the variable DPLURAL, coded as follows: • 1 = Single • 2 = Twin • 3 = Triplet • 4 = Quadruplet • 5 = Quintuplet or higher Singleton births are defined as births with DPLURAL = 1. Multiple births are defined as births with DPLURAL > 2. In rare cases (e.g., 0.004 % of births in 2019) the plurality was not reported on the birth certificate and the value of DPLURAL was imputed to be 1 (singleton birth). Age, Race and Ethnicity The mother's age, race, and ethnicity were obtained from each of the natality files that were regrouped by NVSS into categories, as follows: Years 1993-2002 o Mother's Age: The mother's age for 1993-2002 is characterized by the variable DMAGE. This variable ranges from 10 to 54 and gives the age of mother in single years. For these analysis, the following age groups for the mother were defined: • Mother's age less than 20 years (DMAGE < 20); • Mother's age between 20 and 39 (20 < DMAGE < 40); and • Mother's age is 40 or greater (DMAGE > 40). o Mother's Race and Hispanic origin: The mother's race for 1993-2002 is characterized by the variable MRACE. MRACE is given the following values for the U.S. state and Washington DC data used for these analyses. For 1993-2002, multiple race responses were not available. America's Children and the Environment April, 2022 Page 4 ------- Health: Adverse Birth Outcomes MRACE 01 . .. White 02 . .. Black 03 . .. American Indian (includes Aleuts and Eskimos) 04 . .. Chinese 05 . .. Japanese 06 . .. Hawaiian (includes part-Hawaiian) 07 . .. Filipino 18 . .. Asian Indian 28 . .. Korean 38 . .. Samoan 48 . .. Vietnamese 58 . .. Guamanian 68 . .. Other Asian or Pacific Islander in areas reporting codes 18-58 78 . .. Combined other Asian or Pacific Islander, includes codes 18-68 for areas that do not report them separately The mother's Hispanic origin for 1993-2002 is characterized by the variable ORMOTH. ORMOTH assumes the following values: ORMOTH 0 ... Non-Hispanic 1 ... Mexican 2 ... Puerto Rican 3 ... Cuban 4 ... Central or South American 5 ... Other and unknown Hispanic 9 ... Origin unknown or not stated Based on the above data, the following categories of the mother's race/ethnicity were defined: • White non-Hispanic (MRACE = 1 and ORMOTH = 0); • Black non-Hispanic (MRACE = 2 and ORMOTH = 0); • American Indian/Alaskan Native (AIAN) non-Hispanic (MRACE = 3 and ORMOTH =0); • Asian or Pacific Islander (API) non-Hispanic (MRACE is 4, 5, 6, 7, 18, 28, 38, 48, 58, 68, or 78 and ORMOTH = 0); • Hispanic Mexican American (ORMOTH =1); • Hispanic Puerto Rican (ORMOTH = 2); • All Hispanic (ORMOTH = 1, 2, 3, 4, or 5); and • Unknown ethnicity - (ORMOTH = 9). America's Children and the Environment April, 2022 Page 5 ------- Health: Adverse Birth Outcomes In approximately 0.5% of the birth certificate records, the mother's race was not stated. In those cases, if the father's race was stated, then the father's race was used to impute the mother's race. Otherwise, the mother's race was imputed from the mother's race on the preceding record with a known mother's race. Thus, a mother's race was assigned to all the records. Year 2003 o Mother's Age: The mother's age for 2003 is characterized by the variable MAGER41. This variable is encoded as follows: MAGER41 01 = Under 15 years 02 = 15 years 03 = 16 years 04 = 17 years 39 = 52 years 40 = 53 years 41 = 54 years o For these analyses, the following age groups for the mother were defined: • Mother's age less than 20 years (MAGER41 < 7); • Mother's age between 20 and 39 (7 < MAGER41 < 27); and • Mother's age is 40 or greater (MAGER41 > 27). o Mother's Race and Hispanic origin: The mother's race for 2003 is characterized by two variables MRACE and MBRACE for the U.S. state and Washington DC data used for these analyses. MRACE is used for states and years where multiple race responses are not available, and MBRACE is used for states and years where multiple race responses are available. MRACE 01 ... White 02 ... Black 03 ... American Indian (includes Aleuts and Eskimos) 04 ... Chinese 05 ... Japanese 06 ... Hawaiian (includes part-Hawaiian) 07 ... Filipino 18 ... Asian Indian 28 ... Korean America's Children and the Environment April, 2022 Page 6 ------- Health: Adverse Birth Outcomes 38 ... Samoan 48 ... Vietnamese 58 ... Guamanian 68 ... Other Asian or Pacific Islander in areas reporting codes 18-58 78 ... Combined other Asian or Pacific Islander, includes codes 18-68 for areas that do not report them separately Blank — Not reported. Beginning in 2003, some states started allowing multiple race responses for birth records. For example, in 2010, multiple race was reported by California, Colorado, Delaware, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana (for births occurring after November 30 2010), Maryland, Michigan, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Washington, and Wyoming, which used the 2003 revision of the U.S. Standard Certificate of Live Birth, as well as, Hawaii, Mnnesota and Rhode Island , which used the 1989 revision of the U.S. Standard Certificate of Live Birth. These 38 states and the District of Columbia accounted for 83 percent of U.S. births in 2010 and reported 2.1 percent of mothers as multiracial, with levels varying from less than 1% (Indiana, New Hampshire, and Texas) to 35% (Hawaii). In order to provide uniformity and comparability of data across the years, NVSS bridged the multiple-race data according to the combination of races, Hispanic origin, sex, and age indicated on the birth certificate of the mother or father to obtain a single race for each birth record reporting multiple races in the NVSS datasets. For such records, the single race or bridged multiple race was given by the variable MBRACE. MB RACE is given the following values: MBRACE 01 White - single race 02 Black - single race 03 American Indian / Alaskan Native - single race 04 Asian Indian - single race 05 Chinese - single race 06 Filipino - single race 07 Japanese - single race 08 Korean - single race 09 Vietnamese - single race 10 Other Asian - single race 11 Hawaiian - single race 12 Guamanian - single race 13 Samoan - single race 14 Other Pacific Islander - single race 21 White - bridged multiple race 22 Black - bridged multiple race 23 American Indian / Alaskan Native - bridged multiple race 24 Asian / Pacific Islander - bridged multiple race Blank - Not on certificate America's Children and the Environment April, 2022 Page 7 ------- Health: Adverse Birth Outcomes A new variable CRACE was created by combining the data from MRACE and MBRACE using the following logic. CRACE is equal to MRACE if MRACE is not a missing value. Otherwise, CRACE is equal to MBRACE. The mother's Hispanic origin for 2003 is characterized by the variable UMHISP. UMHISP assumes the following values: UMHISP 0 ... Non-Hispanic 1 ... Mexican 2 ... Puerto Rican 3 ... Cuban 4 ... Central or South American 5 ... Other and unknown Hispanic 9 ... Origin unknown or not stated Based on the above data, following categories of the mother's race/ethnicity were defined: • White non-Hispanic (CRACE = 1 or 21 and UMHISP = 0); • Black non-Hispanic (CRACE = 2 or 22 and UMHISP = 0); • American Indian/Alaskan Native (AIAN) non-Hispanic (CRACE = 3 or 23 and UMHISP =0); • Asian or Pacific Islander (API) non-Hispanic (CRACE is 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 18, 24, 28, 38, 48, 58, 68, or 78 and UMHISP = 0); • Hispanic Mexican American (UMHISP = 1); • Hispanic Puerto Rican (UMHISP = 2); • All Hispanic (UMHISP = 1, 2, 3, 4, or 5); and • Unknown ethnicity (UMHISP = 9). In approximately 0.5% of the birth certificate records, the mother's race was not stated. In those cases, if the father's race was stated, then the father's race was used to impute the mother's race. Otherwise, the mother's race was imputed from the mother's race on the preceding record with a known mother's race. Thus, a mother's race was assigned to all the records. Years 2004-2013 o Mother's Age: The mother's age for 2004-2013 is characterized by the variable MAGER. This variable ranges from 12 - 50 and gives the age of mother in single years for ages 13 to 49, and codes the age group as 12 for ages 10 - 12 and as 50 for ages 50 and older. For these analysis, the following age groups for the mother were defined: • Mother's age less than 20 years (MAGER < 20); • Mother's age between 20 and 39 (20 < MAGER < 40); and • Mother's age is 40 or greater (MAGER > 40). America's Children and the Environment April, 2022 Page 8 ------- Health: Adverse Birth Outcomes o Mother's Race and Hispanic Origin: Just as for 2003, the mother's race and Hispanic origin category are given by the variables MRACE or MBRACE, and UMHISP respectively. The categories of the mother's race/ethnicity were defined exactly as for 2003. In approximately 1% of the birth certificate records for 2004-2005, 2% of the birth certificate records reporting single races in 2006-2010, 6-7% of the birth certificate records reporting multiple races in 2006-2010, and 6% of the birth certificate records for 2011-2013, the mother's race was not stated or reported as "other" race. In those cases, if the father's race was stated, then the father's race was used to impute the mother's race. Otherwise, the mother's race was imputed from the mother's race on the preceding record with a known mother's race; for 2006 and later, the race for Hispanic mothers was imputed from the preceding record of a Hispanic mother with a known race. Thus, a mother's race was assigned to all the records. Years 2014-2019 o Mother's Age: The mother's age for 2014-2019 is characterized by the variable MAGER This variable ranges from 12 - 50 and gives the age of mother in single years for ages 13 to 49, and codes the age group as 12 for ages 10 - 12 and as 50 for ages 50 and older. For these analysis, the following age groups for the mother were defined: • Mother's age less than 20 years (MAGER < 20); • Mother's age between 20 and 39 (20 < MAGER < 40); and • Mother's age is 40 or greater (MAGER > 40). 0 Mother's Race and Hispanic Origin: The mother's race and Hispanic origin category are given by the variables MBRACE (redefined), and MHISPR respectively. The categories of the mother's race/ethnicity were defined as follows: MBRACE (single race or multiple races bridged to a single race) 01 White 02 Black 03 American Indian / Alaskan Native 04 Asian or Pacific Islander UMHISP 0 ... Non-Hispanic 1 ... Mexican 2 ... Puerto Rican 3 ... Cuban 4 ... Central or South American 5 ... Other and unknown Hispanic origin 9 ... Hispanic origin not stated America's Children and the Environment April, 2022 Page 9 ------- Health: Adverse Birth Outcomes Based on the above data, following categories of the mother's race/ethnicity were defined: • White non-Hispanic (MBRACE = 1 and MHISPR = 0); • Black non-Hispanic (MBRACE = 2 and MHISP R = 0); • American Indian/Alaskan Native (AIAN) non-Hispanic (MBRACE = 3 and MHISPR = 0); • Asian or Pacific Islander (API) non-Hispanic (MBRACE = 4 and MHISP R = 0); • Hispanic Mexican American (MHISP R =1); • Hispanic Puerto Rican (MHISP R = 2); • All Hispanic (MHISP R = 1, 2, 3, 4, or 5); and • Unknown ethnicity (MHISP R = 9). In approximately 6-7% of the birth certificate records for 2014- 2019, the mother's race was not stated or reported as "other" race. In those cases, if the father's race was stated, then the father's race was used to impute the mother's race. Otherwise, the mother's race was imputed from the mother's race on the preceding record with a known mother's race; for 2006 and later, the race for Hispanic mothers was imputed from the preceding record of a Hispanic mother with a known race. Thus, a mother's race was assigned to all the records. Calculation of Indicator For each demographic group, the percentage of preterm births was calculated as the number of preterm births divided by the total number of births: Percentage of preterm births = Number of preterm births for mothers in group / Number of births with a stated gestation period for mothers in group x 100% For each demographic group, the percentage of term low birth weight births was calculated as the number of term low birth weight births divided by the total number of births: Percentage of term low birth weight births = Number of low birth weight births at term for mothers in group / Number of births with a stated gestation period and a stated birth weight for mothers in group x 100% Questions and Comments Questions regarding these methods, and suggestions to improve the description of the methods, are welcome. Please use the "Contact Us" link at the bottom of any page in the America's Children and the Environment website. Statistical Comparisons America's Children and the Environment April, 2022 Page 10 ------- Health: Adverse Birth Outcomes Statistical analyses of the percentages of preterm or term low birth weight babies were used to determine whether the differences between percentages for different demographic groups were statistically significant. Using a logistic regression model, the logarithm of the odds that a given baby is preterm or term low birth weight is assumed to be the sum of explanatory terms for the mother's age group and/or race/ethnicity. The odds that a given baby is preterm is the probability that the baby is preterm divided by the probability that the baby is not preterm (similarly for term low birth weight). Thus, if two demographic groups have similar (or equal) percentages of preterm or term low birth weight births, then they will also have similar (or equal) values for the logarithm of the odds. Using this model, the difference in the percentage between different demographic groups is statistically significant if the difference between the corresponding sums of explanatory terms is statistically significantly different from zero. The uncertainties of the regression coefficients were calculated using the SAS® (SAS Institute, Cary, North Carolina) statistical software GENMOD procedure and a binomial logistic model, treating the births for each demographic subgroup as a random sample of births. A p-value at or below 0.05 implies that the difference is statistically significant at the 5% significance level. No adjustment is made for multiple comparisons. For these statistical analyses we used six race/ethnicity groups: White non-Hispanic; Black non- Hispanic; Asian or Pacific Islander non-Hispanic; American Indian or Alaska Native non- Hispanic; Hispanic; Unknown ethnicity. In addition, for specific comparisons between the Mexican and Puerto Rican subgroups, we applied a similar statistical analysis to only the data from Mexican or Puerto Rican births using two ethnicity groups: Mexican; Puerto Rican. We also used three age groups: < 20, 20-39, and 40+. For each type of comparison, we present unadjusted and adjusted analyses. The unadjusted analyses directly compare a percentage between different demographic groups. The adjusted analyses add other explanatory variables to the statistical model and use the statistical model to account for the possible confounding effects of these other variables. For example, the unadjusted race/ethnicity comparisons use and compare the percentages between different race/ethnicity pairs. The adjusted analyses add age terms to the statistical model and compare the percentages between different race/ethnicity pairs after accounting for the effects of the age group. For example, if White non-Hispanics tend to be older when they have babies compared to Black non-Hispanics, and if the probability of preterm births strongly depends on the mother's age only, then the unadjusted differences between these two race/ethnicity groups would be significant but the adjusted difference (taking into account age) would not be significant. Comparisons of the percentages of preterm and term low birth weight births between pairs of race/ethnicity groups in 2019 are shown in Table 1. For the unadjusted comparisons, the only explanatory variables are terms for each race/ethnicity group. For these unadjusted comparisons, the statistical tests compare the percentage for each pair of race/ethnicity groups. For the adjusted comparisons ("Adjusted for age"), the explanatory variables are terms for each race/ethnicity group together with terms for each age group. For these adjusted comparisons, the statistical test compares the pair of race/ethnicity groups after accounting for any differences in the age distributions between the race/ethnicity groups. America's Children and the Environment April, 2022 Page 11 ------- Health: Adverse Birth Outcomes Additional comparisons of the percentages of preterm and term low birth weight births are shown in Table 2. The Against = "age" unadjusted p-value compares the percentages for different age groups in 2019. The adjusted p-value includes adjustment terms for race/ethnicity in the model. The Against = "year" p-value examines whether the linear trend in the percentages is statistically significant; the adjusted model for trend adjusts for demographic changes in the populations from year to year by including terms for age and race/ethnicity. The p-values for Against = "year" and specific values of Subset examine whether the trend for that race/ethnicity or age group demographic subset is statistically significant. The trend analyses are presented for the trends 1993-2006 and 2007-2019. Since the estimated gestation period was based on the date of the last menstrual period in 1993-2006 and was based on the obstetric/clinical estimate in 2007-2019, the trend 1993- 2019 was not evaluated. Overall trend analyses are presented for all births, singleton births, and multiple births. For more details on these statistical analyses, see the memorandum by Cohen (2011).1 1 Cohen, J. 2011. Selected statistical methods for testing for trends and comparing years or demographic groups in other ACE health-based indicators. Memorandum submitted to Dan Axelrad, EPA, 16 June, 2011. America's Children and the Environment April, 2022 Page 12 ------- Health: Adverse Birth Outcomes Table 1. Statistical significance tests comparing the percentages of preterm or term low birth weight births between pairs of race/ethnicity groups for 2019. P-VALUES Variable First race/ethnicity group Second race/ethnicity group Unadjusted Adjusted for age Preterm White non-Hispanic Black non-Hispanic <0.001 <0.001 Preterm White non-Hispanic AIAN non-Hispanic <0.001 <0.001 Preterm White non-Hispanic API non-Hispanic <0.001 <0.001 Preterm White non-Hispanic Hispanic <0.001 <0.001 Preterm White non-Hispanic Unknown ethnicity <0.001 <0.001 Preterm Black non-Hispanic AIAN non-Hispanic <0.001 <0.001 Preterm Black non-Hispanic API non-Hispanic <0.001 <0.001 Preterm Black non-Hispanic Hispanic <0.001 <0.001 Preterm Black non-Hispanic Unknown ethnicity <0.001 <0.001 Preterm AIAN non-Hispanic API non-Hispanic <0.001 <0.001 Preterm AIAN non-Hispanic Hispanic <0.001 <0.001 Preterm AIAN non-Hispanic Unknown ethnicity 0.215 0.912 Preterm API non-Hispanic Hispanic <0.001 <0.001 Preterm API non-Hispanic Unknown ethnicity <0.001 <0.001 Preterm Hispanic Unknown ethnicity <0.001 <0.001 Preterm Mexican Puerto Rican <0.001 <0.001 Term low birth weight White non-Hispanic Black non-Hispanic <0.001 <0.001 Term low birth weight White non-Hispanic AIAN non-Hispanic <0.001 0.002 Term low birth weight White non-Hispanic API non-Hispanic <0.001 <0.001 Term low birth weight White non-Hispanic Hispanic <0.001 <0.001 Term low birth weight White non-Hispanic Unknown ethnicity <0.001 <0.001 Term low birth weight Black non-Hispanic AIAN non-Hispanic <0.001 <0.001 Term low birth weight Black non-Hispanic API non-Hispanic <0.001 <0.001 Term low birth weight Black non-Hispanic Hispanic <0.001 <0.001 Term low birth weight Black non-Hispanic Unknown ethnicity <0.001 <0.001 Term low birth weight AIAN non-Hispanic API non-Hispanic <0.001 <0.001 Term low birth weight AIAN non-Hispanic Hispanic 0.146 0.187 Term low birth weight AIAN non-Hispanic Unknown ethnicity 0.001 <0.001 Term low birth weight API non-Hispanic Hispanic <0.001 <0.001 Term low birth weight API non-Hispanic Unknown ethnicity <0.001 <0.001 Term low birth weight Hispanic Unknown ethnicity <0.001 <0.001 Term low birth weight Mexican Puerto Rican <0.001 <0.001 America's Children and the Environment April, 2022 Page 13 ------- Health: Adverse Birth Outcomes Table 2. Other statistical significance tests comparing the percentage of preterm and term low birth weight births. P-VALUES Variable From To Against Subset Unadjusted Adjusted* Preterm 2019 2019 age <0.001 <0.001 Preterm 2019 2019 race <0.001 <0.001 Preterm 1993 2006 year <0.001 <0.001 Preterm 1993 2006 year White non-Hispanic <0.001 <0.001 Preterm 1993 2006 year Black non-Hispanic 0.010 0.001 Preterm 1993 2006 year AIAN non-Hispanic <0.001 <0.001 Preterm 1993 2006 year API non-Hispanic <0.001 <0.001 Preterm 1993 2006 year Hispanic <0.001 <0.001 Preterm 1993 2006 year Unknown ethnicity <0.001 <0.001 Preterm 1993 2006 year <20 <0.001 <0.001 Preterm 1993 2006 year 20-39 <0.001 <0.001 Preterm 1993 2006 year 40+ <0.001 <0.001 Preterm 1993 2006 year Singleton <0.001 <0.001 Preterm 1993 2006 year Multiple <0.001 <0.001 Preterm 2007 2019 year <0.001 <0.001 Preterm 2007 2019 year White non-Hispanic <0.001 <0.001 Preterm 2007 2019 year Black non-Hispanic <0.001 <0.001 Preterm 2007 2019 year AIAN non-Hispanic <0.001 <0.001 Preterm 2007 2019 year API non-Hispanic <0.001 <0.001 Preterm 2007 2019 year Hispanic <0.001 <0.001 Preterm 2007 2019 year Unknown ethnicity 0.012 <0.001 Preterm 2007 2019 year <20 <0.001 <0.001 Preterm 2007 2019 year 20-39 <0.001 <0.001 Preterm 2007 2019 year 40+ 0.327 <0.001 Preterm 2007 2019 year Singleton <0.001 <0.001 Preterm 2007 2019 year Multiple <0.001 <0.001 Term low birth weight 2019 2019 age <0.001 <0.001 Term low birth weight 2019 2019 race <0.001 <0.001 Term low birth weight 1993 2006 year <0.001 <0.001 Term low birth weight 1993 2006 year White non-Hispanic <0.001 <0.001 Term low birth weight 1993 2006 year Black non-Hispanic 0.124 0.987 Term low birth weight 1993 2006 year AIAN non-Hispanic 0.001 0.002 Term low birth weight 1993 2006 year API non-Hispanic <0.001 <0.001 Term low birth weight 1993 2006 year Hispanic <0.001 <0.001 Term low birth weight 1993 2006 year Unknown ethnicity 0.992 0.917 Term low birth weight 1993 2006 year <20 <0.001 <0.001 Term low birth weight 1993 2006 year 20-39 <0.001 <0.001 Term low birth weight 1993 2006 year 40+ <0.001 <0.001 Term low birth weight 1993 2006 year Singleton 0.001 <0.001 Term low birth weight 1993 2006 year Multiple <0.001 <0.001 Term low birth weight 2007 2019 year <0.001 <0.001 Term low birth weight 2007 2019 year White non-Hispanic <0.001 <0.001 Term low birth weight 2007 2019 year Black non-Hispanic <0.001 <0.001 America's Children and the Environment April, 2022 Page 14 ------- Health: Adverse Birth Outcomes P-VALUES Variable From To Against Subset Unadjusted Adjusted* Term low birth weight 2007 2019 year AIAN non-Hispanic <0.001 <0.001 Term low birth weight 2007 2019 year API non-Hispanic <0.001 <0.001 Term low birth weight 2007 2019 year Hispanic <0.001 <0.001 Term low birth weight 2007 2019 year Unknown ethnicity 0.638 0.706 Term low birth weight 2007 2019 year <20 <0.001 <0.001 Term low birth weight 2007 2019 year 20-39 <0.001 <0.001 Term low birth weight 2007 2019 year 40+ 0.801 0.030 Term low birth weight 2007 2019 year Singleton <0.001 <0.001 Term low birth weight 2007 2019 year Multiple <0.001 <0.001 *For Against = "age," the p-values are adjusted for race/ethnicity. For Against = "year," the p-values are adjusted for age and race/ethnicity. Data Files The following files are needed to calculate this indicator. Birth data: • NATLXXXX.DAT.Z, where XXXX denotes the four-digit year for years 1993-2006. Each file is a compressed file that when decompressed gives the national birth certificate data for a calendar year for births in the 50 U.S. states and Washington DC. The companion files with birth certificate data for U.S. territories were not used for these analyses. These files together with SAS® code to extract and read these data files and convert them into SAS® format were obtained from the National Bureau of Economic Research (NBER) at the url: http://www.nber.org/data/vital-statistics-natalitv-data.html • NatlXXXXus.zip, where XXXX denotes the four-digit year for years 2007-2010. Each file is a compressed file that when decompressed gives the national birth certificate data for a calendar year for births in 50 U.S. states and Washington D.C. The SAS® code to process 2006-year data was downloaded from NBER as described above and modified to process the data contained in these files. These files were obtained from vital statistics data maintained online by the Centers for Disease Control and Prevention and available at the url: http://www.cdc.gov/nchs/data access/Vitalstatsonline.htm • natlXXXX.sas7bdat.zip, where XXXX denotes the four-digit year for years 2011-2018. Each file is a compressed file that when decompressed gives a SAS® data set with the national birth certificate data for a calendar year for births in 50 U.S. states and Washington D.C. These files were created by NBER by processing the vital statistics data maintained online by the Centers for Disease Control and Prevention. The files were obtained from NBER at the url: America's Children and the Environment April, 2022 Page 15 ------- Health: Adverse Birth Outcomes http://www.nber.org/data/vital-statistics-natalitv-data.html • birth_2019_nber_us.v2.sas7bdat. This file contains a SAS® data set with the national birth certificate data for 2019 for births in 50 U.S. states and Washington D.C. This file was created by NBER by processing the vital statistics data maintained online by the Centers for Disease Control and Prevention. The file was obtained from NBER at the url: http://www.nber.org/data/vital-statistics-natalitv-data.html The variables needed for this indicator are the calendar year, mother's age, mother's race, mother's ethnicity, length of gestation, plurality, and birth weight. The variable names and formats vary by year and are detailed below. America's Children and the Environment April, 2022 Page 16 ------- |