York City Birth Research Articles

Obesity and postpartum hospital use among individuals without additional medical comorbidities.

The objective of this study was to examine whether obesity without preexisting or gestational comorbidities is associated with postpartum hospital use (PHU). We studied 2016 to 2018 birth certificate and discharge data on 178,729 New York City births without International Classification of Diseases, Tenth Revision (ICD-10) codes at delivery for diabetes; hypertension; placental disease; anemia; thyrotoxicosis; bariatric surgery; and pulmonary, cardiac, renal, bleeding, autoimmune, digestive, neuromuscular, mental, or substance-use disorders. We defined PHU as ≥1 readmissionor emergency department visit within 30 days of delivery discharge. We used ICD-10 codes to specify postpartum hypertension, infection, or hemorrhage during PHU (i.e., "cause-specific PHU") because these are leading mortality causes. We examined associations between prepregnancy BMI and PHU using multivariable logistic regression. PHU incidence was 3.7% for those with normal weight, 5.1% for those with overweight, 6.3% for those with class 1 or 2 obesity, and 9.1% for those with class 3 obesity. A positive association persisted after adjustment. Obesity was associated with cause-specific PHU of postpartum hypertension (adjusted odds ratio [aOR]: 2.2, 95% confidence limits [CL]: 1.8-2.7, normal weight referent) and wound infection (aOR: 1.5, 95% CL: 1.2-1.8), but not hemorrhage (aOR: 0.9, 95% CL: 0.7-1.3), mastitis, or genitourinary infection (aOR: 1.1, 95% CL: 0.9-1.3). Among individuals without other comorbidities, elevated BMI was associated with PHU. Findings can inform obstetric management to reduce morbidity during the critical fourth trimester.

Maternal Characteristics and Rates of Unexpected Complications in Term Newborns by Hospital

The Joint Commission Unexpected Complications in Term Newborns measure characterizes newborn morbidity potentially associated with quality of labor and delivery care. Infant exclusions isolate relatively low-risk births, but unexpected newborn complications (UNCs) are not adjusted for maternal factors that may be associated with outcomes independently of hospital quality. To investigate the association between maternal characteristics and hospital UNC rates. This cohort study was conducted using linked 2016 to 2018 New York City birth and hospital discharge datasets among 254 259 neonates at low risk (singleton, ≥37 weeks, birthweight ≥2500 g, and without preexisting fetal conditions) at 39 hospitals. Logistic regression was used to calculate unadjusted hospital-specific UNC rates and replicated analyses adjusting for maternal covariates. Hospitals were categorized into UNC quintiles; changes in quintile ranking with maternal adjustment were examined. Data analyses were performed from December 2022 to July 2023. UNCs were classified according to Joint Commission International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) criteria. Maternal preadmission comorbidities, obstetric factors, social characteristics, and hospital characteristics were ascertained. Among 254 259 singleton births at 37 weeks or later who were at low risk (125 245 female [49.3%] and 129 014 male [50.7%]; 71 768 births [28.2%] to Hispanic, 47 226 births [18.7%] to non-Hispanic Asian, 42 682 births [16.8%] to non-Hispanic Black, and 89 845 births [35.3%] to non-Hispanic White mothers and 2738 births [1.0%] to mothers with another race or ethnicity), 148 393 births (58.4%) were covered by Medicaid and 101 633 births (40.0%) were covered by commercial insurance. The 2016 to 2018 cumulative UNC incidence in New York City hospitals was 37.1 UNCs per 1000 births. Infants of mothers with preadmission risk factors had increased UNC risk; for example, among mothers with vs without preeclampsia, there were 104.4 and 35.8 UNCs per 1000 births, respectively. Among hospitals, unadjusted UNC rates ranged from 15.6 to 215.5 UNCs per 1000 births and adjusted UNC rates ranged from 15.6 to 194.0 UNCs per 1000 births (median [IQR] change from adjustment, 1.4 [-4.7 to 1.0] UNCs/1000 births). The median (IQR) change per 1000 births for adjusted vs unadjusted rates showed that hospitals with low (<601 deliveries/year; -2.8 [-7.0 to -1.6] UNCs) to medium (601 to <954 deliveries/year; -3.9 [-7.1 to -1.9] UNCs) delivery volume, public ownership (-3.6 [-6.2 to -2.3] UNCs), or high proportions of Medicaid-insured (eg, ≥90.72%; -3.7 [-5.3 to -1.9] UNCs), Black (eg, ≥32.83%; -5.3 [-9.1 to -2.2] UNCs), or Hispanic (eg, ≥6.25%; -3.7 [-5.3 to -1.9] UNCs) patients had significantly decreased UNC rates after adjustment, while rates increased or did not change in hospitals with the highest delivery volume, private ownership, or births to predominantly White or privately insured individuals. Among all 39 hospitals, 7 hospitals (17.9%) shifted 1 quintile comparing risk-adjusted with unadjusted quintile rankings. In this study, adjustment for maternal case mix was associated with small overall changes in hospital UNC rates. These changes were associated with performance assessment for some hospitals, and these results suggest that profiling on this measure should consider the implications of small changes in rates for hospitals with higher-risk obstetric populations.

Fetal bisphenol and phthalate exposure and early childhood growth in a New York City birth cohort

BackgroundExposure to endocrine-disrupting chemicals such as bisphenols and phthalates during pregnancy may disrupt fetal developmental programming and influence early-life growth. We hypothesized that prenatal bisphenol and phthalate exposure was associated with alterations in adiposity through 4 years. This associations might change over time. MethodsAmong 1091 mother–child pairs in a New York City birth cohort study, we measured maternal urinary concentrations of bisphenols and phthalates at three time points in pregnancy and child weight, height, and triceps and subscapular skinfold thickness at ages 1, 2, 3, and 4 years. We used linear mixed models to assess associations of prenatal individual and grouped bisphenols and phthalates with overall and time-point-specific adiposity outcomes from birth to 4 years. ResultsWe observed associations of higher maternal urinary second trimester total bisphenol and bisphenol A concentrations in pregnancy and overall child weight between birth and 4 years only (Beta 0.10 (95 % confidence interval 0.04, 0.16) and 0.07 (0.02, 0.12) standard deviation score (SDS) change in weight per natural log increase in exposure), We reported an interaction of the exposures with time, and analysis showed associations of higher pregnancy-averaged mono-(2-carboxymethyl) phthalate with higher child weight at 3 years (0.14 (0.06, 0.22)), and of higher high-molecular-weight phthalate, di-2-ethylhexyl phthalate, mono-(2-ethyl-5-carboxypentyl) phthalate, mono-(2-carboxymethyl) phthalate, and mono-(2-ethylhexyl) phthalate with higher child weight at 4 years (0.16 (0.04, 0.28), 0.15 (0.03, 0.27), 0.19 (0.07, 0.31), 0.16 (0.07, 0.24), 0.11 (0.03, 0.19)). Higher pregnancy-averaged high-molecular-weight phthalate, di-2-ethylhexyl phthalate, mono-(2-ethyl-5-carboxypentyl) phthalate, mono-(2-ethyl-5-hydroxyhexyl) phthalate, and mono-2(ethyl-5-oxohexyl) phthalate concentrations were associated with higher child BMI at 4 years (0.20 (0.05, 0.35), 0.20 (0.05, 0.35), 0.22 (0.06, 0.37), 0.20 (0.05, 0.34), 0.20 (0.05, 0.34)). For skinfold thicknesses, we observed no associations. DiscussionThis study contributes to the evidence suggesting associations of prenatal exposure to bisphenols and high-molecular-weight phthalates on childhood weight and BMI.

Racial and Ethnic Inequities in Development of Type 2 Diabetes After Gestational Diabetes Mellitus.

To estimate racial and ethnic disparities in type 2 diabetes mellitus after gestational diabetes mellitus (GDM) and to investigate baseline pregnancy clinical and social or structural characteristics as mediators. We conducted a retrospective cohort of individuals with GDM using linked 2009-2011 New York City birth and hospital data and 2009-2017 New York City A1c Registry data. We ascertained GDM and pregnancy characteristics from birth and hospital records. We classified type 2 diabetes as two hemoglobin A 1c test results of 6.5% or higher. We grouped pregnancy characteristics into clinical (body mass index [BMI], chronic hypertension, gestational hypertension, preeclampsia, preterm delivery, caesarean, breastfeeding, macrosomia, shoulder dystocia) and social or structural (education, Medicaid insurance, prenatal care, and WIC [Special Supplemental Nutrition Program for Women, Infants, and Children] participation). We used Cox proportional hazards models to estimate associations between race and ethnicity and 8-year type 2 diabetes incidence, and we tested mediation of pregnancy characteristics, additionally adjusting for age and nativity (U.S.-born vs foreign-born). The analytic data set included 22,338 patients with GDM. The 8-year type 2 diabetes incidence was 11.7% overall and 18.5% in Black, 16.8% in South and Southeast Asian, 14.6% in Hispanic, 5.5% in East and Central Asian, and 5.4% in White individuals with adjusted hazard ratios of 4.0 (95% CI 2.4-3.9), 2.9 (95% CI 2.4-3.3), 3.3 (95% CI 2.7-4.2), and 1.0 (95% CI 0.9-1.4) for each group compared with White individuals. Clinical and social or structural pregnancy characteristics explained 9.3% and 23.8% of Black, 31.2% and 24.7% of Hispanic, and 7.6% and 16.3% of South and Southeast Asian compared with White disparities. Associations between education, Medicaid insurance, WIC participation, and BMI and type 2 diabetes incidence were more pronounced among White than Black, Hispanic, and South and Southeast Asian individuals. Population-based racial and ethnic inequities are substantial in type 2 diabetes after GDM. Characteristics at the time of delivery partially explain disparities, creating an opportunity to intervene on life-course cardiometabolic inequities, whereas weak associations of common social or structural measures and BMI in Black, Hispanic and South and Southeast Asian individuals demonstrate the need for greater understanding of how structural racism influences postpartum cardiometabolic risk in these groups.

Intersectional inequities in the birthweight gap between twin and singleton births: A random effects MAIHDA analysis of 2012–2018 New York City birth data

Birthweight is a widely-used biomarker of infant health, with inequities patterned intersectionally by maternal age, race/ethnicity, nativity/immigration status, and socioeconomic status in the United States. However, studies of birthweight inequities almost exclusively focus on singleton births, neglecting high-risk twin births. We address this gap using a large sample (N = 753,180) of birth records, obtained from the 2012–2018 New York City (NYC) Department of Health and Mental Hygiene, Bureau of Vital Statistics, representing 99% of all births registered in NYC, and a novel random coefficients intersectional MAIHDA (Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy) model. Our results show evidence of intersectional inequities in birthweight outcomes for both twin and singleton births by maternal age, race/ethnicity, education, and nativity status. Twins have considerably lower predicted birthweights than singletons overall (−930 g on average), and this is especially true for babies born to mothers who are younger (11–19 years), older (40+), racial/ethnic minoritized, foreign-born, and have lower education. However, the magnitude of this birthweight ‘gap’ between twins and singletons varies considerably across social identity strata, ranging between 830.8 g (observed among 40+ year old Black foreign-born mothers with high school degrees) and 1013.7 g (observed among 30–39 year old Hispanic/Latina foreign-born mothers with less than high school degrees). This study underscored the needs of a high-risk population and the need for aggressive social policies to address health inequities and dismantle intersectional systems of marginalization, oppression, and socioeconomic inequality. In addition to our substantive contributions, we add to the growing methods literature on intersectional quantitative analysis by demonstrating how to apply intersectional MAIHDA with random coefficients and random slopes. We conclude with a discussion of the significant potential for this methodological extension in future research on inequities.

Influence of Gestational Diabetes Mellitus on Diabetes Risk and Glycemic Control in a Retrospective Population-Based Cohort.

Racial/ethnic-specific estimates of the influence of gestational diabetes mellitus (GDM) on type 2 diabetes remain underexplored in large population-based cohorts. We estimated racial/ethnic differences in the influence of GDM on diabetes risk and glycemic control in a multiethnic, population-based cohort of postpartum women. Hospital discharge and vital registry data for New York City (NYC) births between 2009 and 2011 were linked with NYC A1C Registry data between 2009 and 2017. Women with baseline diabetes (n = 2,810) were excluded for a final birth cohort of 336,276. GDM on time to diabetes onset (two A1C tests of ≥6.5% from 12 weeks postpartum onward) or glucose control (first test of A1C <7.0% following diagnosis) was assessed using Cox regression with a time-varying exposure. Models were adjusted for sociodemographic and clinical factors and stratified by race/ethnicity. The cumulative incidence for diabetes was 11.8% and 0.6% among women with and without GDM, respectively. The adjusted hazard ratio (aHR) of GDM status on diabetes risk was 11.5 (95% CI 10.8, 12.3) overall, with slight differences by race/ethnicity. GDM was associated with a lower likelihood of glycemic control (aHR 0.85; 95% CI 0.79, 0.92), with the largest negative influence among Black (aHR 0.77; 95% CI 0.68, 0.88) and Hispanic (aHR 0.84; 95% CI 0.74, 0.95) women. Adjustment for screening bias and loss to follow-up modestly attenuated racial/ethnic differences in diabetes risk but had little influence on glycemic control. Understanding racial/ethnic differences in the influence of GDM on diabetes progression is critical to disrupt life course cardiometabolic disparities.

School Disengagement, School-Age Births and High School Graduation: Evidence From Linked Administrative Records.

Failure to complete secondary education often results from a process of educational disengagement. Studies of teen childbearing and high school completion have not adequately accounted for the role of school disengagement prior to conception and may overestimate causal impacts of teen childbearing. We link New York City birth and school records to study a cohort of 22,484 Black and Latina public school students. We measure disengagement with monthly absences from age 12 until the month before conception and identify five preconception attendance trajectories using group-based trajectory modeling. Preconception absenteeism can account for as much as half the deficit in high school completion associated with a teen birth. This finding is robust to statistical approaches, such as school fixed effects and inverse-probability-weighted regression adjustment. Our results suggest that programs intending to increase educational attainment among young women should emphasize attendance and engagement, rather than primarily teenage pregnancy prevention.

Utilization of Maternal Health Care Among Immigrant Mothers in New York City, 2016\u20132018

Immigrant women represent half of New York City (NYC) births, and some immigrant groups have elevated risk for poor maternal health outcomes. Disparities in health care utilization across the maternity care spectrum may contribute to differential maternal health outcomes. Data on immigrant maternal health utilization are under-explored in the literature. We conducted a cross-sectional analysis of the population-based NYC Pregnancy Risk Assessment Monitoring System survey, using 2016–2018 data linked to birth certificate variables, to explore self-reported utilization of preconception, prenatal, and postpartum health care and potential explanatory pathways. We stratified results by maternal nativity and, for immigrants, by years living in the US; geographic region of origin; and country of origin income grouping. Among immigrant women, 43% did not visit a health care provider in the year before pregnancy, compared to 27% of US-born women (risk difference [RD] = 0.16, 95% CI [0.13, 0.20]), 64% had no dental cleaning during pregnancy compared to 49% of US-born women (RD = 0.15, 95% CI [0.11, 0.18]), and 11% lost health insurance postpartum compared to 1% of US-born women (RD = 0.10, 95% CI [0.08, 0.11]). The largest disparities were among recent arrivals to the US and immigrants from countries in Central America, South America, South Asia, and sub-Saharan Africa. Utilization differences were partially explained by insurance type, paternal nativity, maternal education, and race and ethnicity. Disparities may be reduced by collaborating with community-based organizations in immigrant communities on strategies to improve utilization and by expanding health care access and eligibility for public health insurance coverage before and after pregnancy.

Associations of prenatal exposure to polycyclic aromatic hydrocarbons with pubertal timing and body composition in adolescent girls: Implications for breast cancer risk

BackgroundWhile animal data support an association between prenatal exposure to endocrine disrupting chemicals (EDCs) and altered mammary gland development and tumorigenesis, epidemiologic studies have only considered a few classes of EDCs in association with pubertal growth and development in girls. Polycyclic aromatic hydrocarbons (PAH) are a class of EDCs that have not been rigorously evaluated in terms of prenatal exposure and pubertal growth and development in girls. ObjectiveIn a New York City birth cohort of Black and Hispanic girls (n = 196; recruited 1998–2006), we examined associations of prenatal PAH exposure with self-reported age at growth spurt onset, breast development onset and menarche, and clinical measures of adolescent body composition including body mass index, waist-to-hip ratio, and body fat measured at ages 11–20 years. MethodsWe measured prenatal exposure to PAH using personal air monitoring data collected from backpacks worn by mothers during the third trimester of pregnancy (data available for all 196 girls) and biomarkers of benzo[α]pyrene-DNA adducts in umbilical cord blood (data available for 106 girls). We examined associations of prenatal PAH with the timing of pubertal milestones and adolescent body composition (11–20 years) using multivariable linear regression models adjusted for race/ethnicity, household public assistance status at birth, and age at outcome assessment. We also fit models further adjusted for potential mediators, including birthweight and childhood body size (BMI-for-age z-score measured at 6–8 years). ResultsGirls in the highest versus lowest tertile of ambient exposure to PAH, based on a summary measure of eight carcinogenic higher-molecular weight non-volatile PAH compounds (Σ8 PAH), had a 0.90 year delay in growth spurt onset (95% confidence interval (CI) = 0.25, 1.55; n = 196), a 0.35 year delay in breast development onset (95% CI = −0.26, 0.95; n = 193), and a 0.59 year delay in menarche (95% CI = 0.06, 1.11; n = 191) in models adjusted for race/ethnicity and household public assistance at birth. The statistically significant associations for age at growth spurt onset and menarche were not impacted by adjustment for birthweight or childhood body size. No differences in BMI-for-age z-score, waist-to-hip ratio, or percent body fat were found between girls in the highest versus lowest tertile of ambient Σ8 PAH. Results were similar when we evaluated benzo[α]pyrene-DNA adduct levels. DiscussionOur results suggest that prenatal exposure to PAH might delay pubertal milestones in girls, but findings need to be replicated in other cohorts using prospectively collected data on pubertal outcomes.

Neighborhood Racial And Economic Polarization, Hospital Of Delivery, And Severe Maternal Morbidity.

Recent national and state legislation has called attention to stark racial/ethnic disparities in maternal mortality and severe maternal morbidity (SMM), the latter of which is defined as having a life-threatening condition or life-saving procedure during childbirth. Using linked New York City birth and hospitalization data for 2012-14, we examined whether racial and economic spatial polarization is associated with SMM rates, and whether the delivery hospital partially explains the association. Women in ZIP codes with the highest concentration of poor blacks relative to wealthy whites experienced 4.0 cases of SMM per 100 deliveries, compared with 1.7 cases per 100 deliveries among women in the neighborhoods with the lowest concentration (risk difference = 2.4 cases per 100). Thirty-five percent of this difference was attributable to the delivery hospital. Women in highly polarized neighborhoods were most likely to deliver in hospitals located in similarly polarized neighborhoods. Housing policy that targets racial and economic spatial polarization may address a root cause of SMM, while hospital quality improvement may mitigate the impact of such polarization.

Longitudinal Patterns of School Disengagement before Conception among New York City Teen Mothers

School-based pregnancy prevention programs should optimally be offered while students are still engaged in school since early disengagement is strongly associated with risk of a teen birth. We used linked New York City birth and enrollment data (2005-2013), a sample of 6,809 teen mothers (mean age conception = 16.2 years). We measured preconception disengagement using monthly absences, age 12 until conception, and identified five attendance trajectories using group-based trajectory modeling. We identified five attendance trajectories that were heterogeneous with respect to age of onset and rate of increase of absenteeism. In two groups, 80% were chronically absent (CA) [2-<4 absences/month] or severely chronically absent (SCA) [4+ absences/month] at age 12, and over 90% by age 13, when they averaged 3.8-5.1 absences/month. Despite heterogeneity, 37% of teen mothers were CA or SCA at age 12, increasing to 56% by age 14. By early high school, age 15, 63% of teen mothers had absenteeism problems; 26% were CA and 37% SCA. Most teen mothers were disengaged before high school, years before conception. School-based pregnancy prevention programs should be offered in middle school or earlier when at-risk students are not missing significant amounts of school and may be more receptive to prevention messages.

Evaluating Race and Ethnicity Reported in Hospital Discharge Data and Its Impact on the Assessment of Health Disparities.

Improving the collection and quality of race and ethnicity reported in hospital data is a key step in identifying disparities in health service utilization and outcomes and opportunities for quality improvement. The objective of this study was to assess the quality of race/ethnicity reported in hospital discharge data and examine the impact on the identification of disparities in select health outcomes in New York City. Using the birth certificate as a gold standard, we examined the quality of hospital discharge race/ethnicity and estimated the impact of misclassification on racial/ethnic disparities in severe maternal morbidity and preventable hospitalizations. Delivery hospitalizations from the New York State hospital discharge data (Statewide Planning and Research Cooperative System) linked with 2015 New York City birth certificates. Sensitivity and positive predictive value (PPV). The non-Hispanic white and black race had relatively high sensitivity and PPV. Hispanic ethnicity and Asian race had moderate sensitivity and high PPV, but were often misclassified as "Other." As a result, health disparities may be underestimated for those of Hispanic ethnicity and Asian race, particularly for indicators that use population denominators drawn from another source. The quality of hospital discharge data varies by race/ethnicity and may underestimate disparities in some groups. Future research should validate findings with other data sources, identify driving factors, and evaluate progress over time.

Severe Maternal Morbidity and Mortality in Women with Congenital Heart Disease [18R

INTRODUCTION: Studies have demonstrated an increase in adverse pregnancy outcomes in women with congenital heart disease. We sought to examine the association of maternal congenital heart disease (CHD) with the risk of severe maternal morbidity and mortality (SMM) compared to women without congenital heart disease. METHODS: This retrospective cross-sectional study used 2008 through 2012 New York City (NYC) birth certificates linked to hospital discharge data to identify delivery hospitalizations. Cases of SMM were identified using ICD-9 diagnosis and procedure codes based on the Center for Disease Control and Prevention criteria. Data were limited to singleton, live births. CHD included women with any vascular, septal, or valvular abnormality of the heart at birth. Multivariable logistic regression was used to evaluate SMM in women with CHD adjusting for maternal demographics, socioeconomic status, and medical comorbidities. RESULTS: From 2008 through 2012 there were 578,840 live singleton births in NYC, 347 of these births were to women with CHD (6/10,000). Acute renal failure, adult respiratory distress syndrome, thrombotic embolism, cardiac arrest/ventricular fibrillation, pulmonary edema/heart failure, conversion of cardiac rhythm, and transfusion were all independently associated with CHD. Women who had CHD had higher adjusted odds of SMM(aOR 2.43; 95% CI 1.60-3.70) compared to women without CHD after adjusting for maternal socioeconomic status, demographics and medical comorbidities. There was one maternal death. CONCLUSION: SMM is increased in women with CHD, even after adjusting for co-morbid conditions. It is important that these women receive care from an identified multidisciplinary team from preconception to postpartum to optimize pregnancy outcomes.

765: Gestational weight gain and severe maternal morbidity and mortality during delivery hospitalization

To examine whether women who exceeded the recommended gestational weight gain (GWG) guidelines by the Institute of Medicine (IOM) were at increased risk of severe maternal morbidity and mortality (SMM) compared to those who kept within the guidelines This retrospective cross-sectional study used 2008-2012 New York City birth certificates linked to hospital discharge data to identify delivery hospitalizations. Cases of SMM were identified using ICD-9 diagnosis and procedure codes based on the CDC criteria, consisting of 21 indicators for a possible life-threatening diagnosis or a life-saving procedure, and includes death. Data were limited to singleton live births with information on pre-pregnancy weight and GWG. Multivariable logistic regression was used to evaluate the association between GWG categories based on pre-pregnancy body mass index (BMI) (i.e., below, within, between 1-19 pounds above, and greater than 20 pounds above the IOM guidelines) and SMM adjusting for maternal demographics, socioeconomic status, and medical comorbidities. During 2008-2012 there were 565,664 singleton live births in New York City with pre-pregnancy weight and gestational weight gain information. In 26%, 35%, and 39% of these births, women gained below, within, and above the IOM guidelines respectively. After adjusting for maternal comorbidities and socioeconomic and demographic characteristics, women who had gestational weight gain greater than 20 pounds above the IOM recommendations had a slightly significantly higher risk of overall SMM compared to women who gained within the recommended weight gain guidelines (Table). This was primarily due to high rates of heart failure and blood transfusion; which were significantly associated with gestational weight gain below and above IOM recommendations. Those who gained >20 pounds over the IOM recommendations had an aOR of 1.84 (CI 1.23-2.74) and 1.24 (CI 1.15-1.34) for heart failure and blood transfusion, respectively. Women whose gestational weight gain is greater than 20 pounds in excess of the IOM guidelines are at a slight overall increased risk of SMM. Additionally, the risks of heart failure and blood transfusion are associated with any amount of gestational weight gain either above or below IOM guidelines.

The Uncertain Relationship between Air Pollution and Risk of Preterm Birth: Does Spatial Variation Drive Disparate Findings?

Air pollution isn’t just bad for those who breathe it; it also could potentially impact the future health of unborn babies. For instance, maternal exposures to fine particulate matter (PM2.5) and nitrogen dioxide (NO2) have been associated with small but consistent decreases in birth weight. 1 , 2 , 3 However, associations with preterm birth have been less consistent. A new study of more than 258,000 New York City births published this month in EHP takes an innovative approach to this question by considering the hospital where a baby is born as a factor that may explain the results of studies of air pollution and preterm birth. 4

Bisphenol A and Adiposity in an Inner-City Birth Cohort.

Background:Early-life exposure to the endocrine disruptor bisphenol A (BPA) may contribute to the development of obesity. Prospective evidence in humans on this topic is limited.Objectives:We examined prenatal and early-childhood BPA exposures in relation to childhood measures of adiposity in the Columbia Center for Children’s Environmental Health (CCCEH) New York City birth cohort.Methods:BPA concentrations were measured in prenatal (n = 375) and child ages 3 (n = 408) and 5 years (n = 518) spot urine samples. Childhood anthropometric and bioelectrical impedance outcomes included body mass index z-scores (BMIZ) at 5 and 7 years, and fat mass index (FMI), percent body fat (%BF), and waist circumference (WC) at 7 years. Associations were evaluated using multiple linear regression with continuous and tertile BPA concentrations.Results:Prenatal urinary BPA concentrations were positively associated with child age 7 FMI (β = 0.31 kg/m2; 95% CI: 0.01, 0.60, p = 0.04), %BF (β = 0.79; 95% CI: 0.03, 1.55, p = 0.04), and WC (β = 1.29 cm; 95% CI: 0.29, 2.30, p = 0.01), but not BMIZ, or change in BMIZ between ages 5 and 7 years (all p-values > 0.1). FMI results were sex-specific. Child urinary BPA concentrations were not associated with child anthropometric outcomes (all p-values > 0.05).Conclusions:Analyses of the CCCEH longitudinal birth cohort found associations between prenatal urinary BPA concentrations and FMI, %BF, and WC. Our results suggest that prenatal BPA exposure may contribute to developmental origins of adiposity. These findings are consistent with several prior studies, raising concern about the pervasiveness of BPA.Citation:Hoepner LA, Whyatt RM, Widen EM, Hassoun A, Oberfield SE, Mueller NT, Diaz D, Calafat AM, Perera FP, Rundle AG. 2016. Bisphenol A and adiposity in an inner-city birth cohort. Environ Health Perspect 124:1644–1650; http://dx.doi.org/10.1289/EHP205

Ambient Fine Particulate Matter, Nitrogen Dioxide, and Preterm Birth in New York City.

Background:Recent studies have suggested associations between air pollution and various birth outcomes, but the evidence for preterm birth is mixed.Objective:We aimed to assess the relationship between air pollution and preterm birth using 2008–2010 New York City (NYC) birth certificates linked to hospital records.Methods:We analyzed 258,294 singleton births with 22–42 completed weeks gestation to nonsmoking mothers. Exposures to ambient fine particles (PM2.5) and nitrogen dioxide (NO2) during the first, second, and cumulative third trimesters within 300 m of maternal address were estimated using data from the NYC Community Air Survey and regulatory monitors. We estimated the odds ratio (OR) of spontaneous preterm (gestation < 37 weeks) births for the first- and second-trimester exposures in a logistic mixed model, and the third-trimester cumulative exposures in a discrete time survival model, adjusting for maternal characteristics and delivery hospital. Spatial and temporal components of estimated exposures were also separately analyzed.Results:PM2.5 was not significantly associated with spontaneous preterm birth. NO2 in the second trimester was negatively associated with spontaneous preterm birth in the adjusted model (OR = 0.90; 95% CI: 0.83, 0.97 per 20 ppb). Neither pollutant was significantly associated with spontaneous preterm birth based on adjusted models of temporal exposures, whereas the spatial exposures showed significantly reduced odds ratios (OR = 0.80; 95% CI: 0.67, 0.96 per 10 μg/m3 PM2.5 and 0.88; 95% CI: 0.79, 0.98 per 20 ppb NO2). Without adjustment for hospital, these negative associations were stronger.Conclusion:Neither PM2.5 nor NO2 was positively associated with spontaneous preterm delivery in NYC. Delivery hospital was an important spatial confounder.Citation:Johnson S, Bobb JF, Ito K, Savitz DA, Elston B, Shmool JL, Dominici F, Ross Z, Clougherty JE, Matte T. 2016. Ambient fine particulate matter, nitrogen dioxide, and preterm birth in New York City. Environ Health Perspect 124:1283–1290; http://dx.doi.org/10.1289/ehp.1510266

Association Between Hospital-level Obstetric Quality Indicators and Maternal and Neonatal Morbidity

Importance In an effort to improve the quality of care, several obstetric-specific quality measures are now monitored and publicly reported. The extent to which these measures are associated with maternal and neonatal morbidity is not known. Objective To examine whether 2 Joint Commission obstetric quality indicators are associated with maternal and neonatal morbidity. Design, Setting, and Participants Population-based observational study using linked New York City discharge and birth certificate data sets from 2010. All delivery hospitalizations were identified and 2 perinatal quality measures were calculated (elective, nonmedically indicated deliveries at 37 or more weeks of gestation and before 39 weeks of gestation; cesarean delivery performed in low-risk mothers). Published algorithms were used to identify severe maternal morbidity (delivery associated with a life-threatening complication or performance of a lifesaving procedure) and morbidity in term newborns without anomalies (births associated with complications such as birth trauma, hypoxia, and prolonged length of stay). Mixed-effects logistic regression models were used to examine the association between maternal morbidity, neonatal morbidity, and hospital-level quality measures while risk-adjusting for patient sociodemographic and clinical characteristics. Main Outcomes and Measures Individual- and hospital-level maternal and neonatal morbidity. Results Severe maternal morbidity occurred among 2372 of 115 742 deliveries (2.4%), and neonatal morbidity occurred among 8057 of 103 416 term newborns without anomalies (7.8%). Rates for elective deliveries performed before 39 weeks of gestation ranged from 15.5 to 41.9 per 100 deliveries among 41 hospitals. There were 11.7 to 39.3 cesarean deliveries per 100 deliveries performed in low-risk mothers. Maternal morbidity ranged from 0.9 to 5.7 mothers with complications per 100 deliveries and neonatal morbidity from 3.1 to 21.3 neonates with complications per 100 births. The maternal quality indicators elective delivery before 39 weeks of gestation and cesarean delivery performed in low-risk mothers were not associated with severe maternal complications (risk ratio [RR], 1.00 [95% CI, 0.98-1.02] and RR, 0.99 [95% CI, 0.96-1.01], respectively) or neonatal morbidity (RR, 0.99 [95% CI, 0.97-1.01] and RR, 1.01 [95% CI, 0.99-1.03], respectively). Conclusions and Relevance Rates for the quality indicators elective delivery before 39 weeks of gestation and cesarean delivery performed in low-risk mothers varied widely in New York City hospitals, as did rates of maternal and neonatal complications. However, there were no correlations between the quality indicator rates and maternal and neonatal morbidity. Current quality indicators may not be sufficiently comprehensive for guiding quality improvement in obstetric care.

Prenatal exposure to polycyclic aromatic hydrocarbons/aromatics, BDNF and child development

ObjectivesWithin a New York City (NYC) birth cohort, we assessed the associations between polycyclic aromatic hydrocarbon (PAH) and other aromatic DNA adducts and brain derived neurotrophic factor (BDNF) concentrations in umbilical cord blood, and neurodevelopment at age 2 years and whether BDNF is a mediator of the associations between PAH/aromatic-DNA adducts and neurodevelopment. MethodsPAH/aromatic-DNA adduct concentrations in cord blood were measured in 505 children born to nonsmoking African-American and Dominican women residing in NYC, and a subset was assessed for neurodevelopment at 2 years using the Bayley Scales of Infant Development Mental Development Index (MDI). A spectrum of PAH/aromatic-DNA adducts was measured using the 32P-postlabeling assay; DNA adducts formed by benzo[a]pyrene (B[a]P), a representative PAH, were measured by High Performance Liquid Chromatography (HPLC)/fluorescence. BDNF mature protein in cord blood plasma was quantified by an ELISA. Multivariate regression analysis, adjusting for potential confounders, was conducted. ResultsPAH/aromatic-DNA adduct concentration measured by postlabeling was inversely associated with BDNF concentration (p=0.02) and with MDI scores at 2 years (p=0.04). BDNF level was positively associated with MDI scores (p=0.003). Restricting to subjects having all three measures (PAH/aromatic-DNA adducts by postlabeling, MDI, and BDNF), results were similar but attenuated (p=0.13, p=0.05, p=0.01, respectively). Associations between B[a]P-DNA adducts and BDNF and B[a]P-DNA adducts and MDI at age 2 years were not significant. At age 3 years, the positive association of BDNF with MDI was not observed. ConclusionsThe results at age 2 suggest that prenatal exposure to a spectrum of PAH/aromatic pollutants may adversely affect early neurodevelopment, in part by reducing BDNF levels during the fetal period. However, the same relationship was not seen at age 3.

Racial/ethnic differences in impact of gestational weight gain on interconception weight change.

Describe the association between gestational weight gain (GWG) and interconception weight change within race/ethnic groups, and differences across them. Data are from linked New York City birth certificates 1994-2004. The sample comprised nulliparous women ages ≥18 with two consecutive singleton births (N = 115,651). The dependent variable was interconception weight change. Adjusted analyses were from ordinary least squares regression model fully interacted by race/ethnic group, controlling for covariates. Within race/ethnic groups, adjusted interconception weight change was calculated for each GWG level compared with GWG 20-24 pounds; across groups, weight change was calculated for each group compared with white non-Hispanics. GWG ≥40 pounds was 18 % for Asian Pacific Islanders, and 27-29 % for other race/ethnic groups. Interconception weight change >15 pounds was highest for black non-Hispanics (34 %) and lowest for Asian Pacific Islanders (17 %). In the multivariable analysis, mean interconception weight change increased with increasing GWG in all race/ethnic groups, an average of 1.5-1.6 pounds for each 5-pound GWG interval. Compared with white non-Hispanics, adjusted mean interconception weight change was higher at every GWG level for black non-Hispanics (3.5-5.1 pounds), and at every level except <15 pounds for Hispanics (1.6-3.0 pounds). GWG ≥40 pounds was prevalent in all groups. GWG contributes to long-term interconception weight change, and non-Hispanic blacks and Hispanics are at risk of greater weight change. Interventions at many levels, during and after pregnancy, are needed to support women to achieve healthy GWG and postpartum weight loss.