Faculty Bibliography

PURPOSE/OBJECTIVE:To examine factors associated with moving during pregnancy and impacts of assigning nSES at enrollment, delivery, or a time-weighted average on birth outcomes (birthweight, birthweight-for-gestational-age z-score, low birthweight, gestational age, small-for-gestational age, preterm birth). METHODS:We used data from the Environmental influences on Child Health Outcomes (ECHO) Cohort Study (2010-2019) with nSES data from the American Community Survey (ACS) matched by time and location to monthly residential histories. We used multivariable logistic models with Generalized Estimating Equations to identify factors associated with moving and quantify exposure misclassification in model estimates. RESULTS:Approximately 7% of 15,376 participants moved at least once during pregnancy. Maternal age (OR: 0.97, 95% CI: 0.95, 0.98) and other race vs. White (OR: 0.39, 95% CI: 0.20, 0.80) were associated with lower odds of moving; lower neighborhood-level education (OR: 1.34, 95% CI: 1.11, 1.62) and living in urban neighborhoods (OR: 3.03, 95% CI: 1.39, 6.59) were associated with higher odds. Among movers, estimates between nSES and birth outcomes changed ≥16% by address assignment; birthweight-for-gestational-age z-score was significant only when using nSES at delivery. CONCLUSION/CONCLUSIONS:Sociodemographic and nSES characteristics are associated with moving during pregnancy; movers may experience exposure misclassification and underestimated effects on birth outcomes.

Evidence is inconsistent regarding which windows of PM_2.5 exposure are critical for adverse perinatal outcomes. We investigated associations between timing of gestational PM_2.5 exposure and perinatal outcomes. Participants included 19,108 mother-infant dyads from 51 sites of the Environmental influences on Child Health Outcomes (ECHO) cohort. Repeated measures of PM_2.5 exposure were included based on high-resolution spatiotemporal models for trimesters 1-3, early first trimester (≤14 days), and late first trimester (70-92 days). We estimated associations of PM_2.5 exposure (per 5 μg/m³ increase) and continuous outcomes (gestational age at birth [GA] and birthweight for gestational age z-scores [BWZs]) using generalized estimating equation (GEE) models for linear regression. Poisson regression via GEE was used to estimate risk ratios (RRs) of PM_2.5 exposure (per 5 μg/m³ increase) with binary outcomes (preterm birth [PTB], <37 completed weeks of gestation), and term small for gestational age [SGA], <10th percentile). We explored effect modification by participants' characteristics. In fully adjusted models, early 1st trimester PM_2.5 exposure was associated with lower BWZ (β = -0.03, 95 % CI -0.06, -0.001); association with term SGA was RR = 1.06, 95 % CI 0.99, 1.13. Results were mostly null for other windows of gestational exposure. When stratified by sex, early pregnancy PM_2.5 exposure and lower BWZ associations were observed among females, but not males. Suggestive evidence indicates that associations of PM_2.5 exposure with GA, PTB risk, and term SGA risk may vary by maternal race and ethnicity. Our results suggest that policies and practices that reduce the risks of PM_2.5 exposure, particularly in pre-conception and early pregnancy, may improve perinatal outcomes.

BACKGROUND:There is growing interest in understanding the link between early life exposures to ambient air pollution and childhood blood pressure; however, existing findings, largely from single site/cohort studies, are inconclusive. METHODS:(per 10-ppb) exposures with blood pressure outcomes were estimated using linear and Poisson regressions adjusted for sociodemographic, lifestyle, temporal, and spatial confounders. RESULTS:with both SBP (β: -2.42, 95 %CI: -4.70, -0.14) and DBP (β: -1.94, 95 %CI: -3.81, -0.08) percentiles were suggested. CONCLUSION/CONCLUSIONS:and blood pressure was counterintuitive and warrants further investigation.

OBJECTIVE:To examine associations between oxidative stress and fetal weight across pregnancy. STUDY DESIGN/METHODS:Cohort study of pregnant participants from 2016-2021 in New York City with urinary lipid, protein, and DNA oxidative stress biomarkers (<18, 18-25, >25 weeks) and estimated fetal weight from ultrasound fetal biometry with the HadlockIII formula (20, 30, 36 weeks). RESULT/RESULTS:percentile. Oxidative stress biomarkers of protein damage were associated with larger estimated fetal weight at 20 (3.4 [95% CI: 1.2, 5.7]) and 36 weeks (16.5 [95% CI: 5.2, 27.8]). CONCLUSION/CONCLUSIONS:These findings advance our understanding of different oxidative stress pathways and their potential role in fetal growth.

OBJECTIVE:Poverty and systemic racism within rare intertwined. Children of marginalized racial and ethnic identities experience higher levels of poverty and adverse psychiatric outcomes. Thus, in models of poverty and neurodevelopment, race and ethnicity-as proxies for exposure to systemic disadvantage-are regularly considered confounders. Recently, however, some researchers claimed that using race and ethnicity as confounders is statistically dubious, and potentially socially damaging. Instead, they argue for the use of variables measuring other social determinants of health (SDoH). We explore this approach. METHOD/METHODS:Data are from 7,836 10-year-olds in the Adolescent Brain and Cognitive Development study. We fit mixed regression models for the association of household poverty measures with psychiatric symptoms, magnetic resonance imaging-derived (MRI) cortical measures, and cognition with and without (1) race and ethnicity adjustment; (2); poverty-by-race and ethnicity interaction terms and (3) alternative SDoH variables. Propensity-based weights were used to calibrate the sample to key US demographics. RESULTS:For psychiatric and cognitive outcomes, poverty-outcome relationships differed across racial and ethnic groups (poverty-by-race-and-ethnicity interaction p<0.05). For MRI outcomes, adjusting for race and ethnicity changed the estimate of poverty's impact. Alternative SDoH adjustment could not fully account for the impact of race and ethnicity on the associations explored. CONCLUSION/CONCLUSIONS:Poverty and race and ethnicity combine to influence neurodevelopment. Results suggest effects of poverty are generally inconsistent across race and ethnicity, which supports prior research demonstrating the non-equivalence of SDoH indicators by race and ethnicity. Studies exploring these relationships should assess interaction between poverty and race and ethnicity and/or stratify when appropriate. Replacing race and ethnicity with alternative SDoH may induce bias.

PURPOSE/OBJECTIVE:Our goals were to: 1) examine the occurrence of behavioral and emotional symptoms in children on the autism spectrum in a large national sample, stratifying by sex, and 2) evaluate whether children with increased autism-related social communication deficits also experience more behavioral and emotional problems. METHODS: Participants (n = 7,998) were from 37 cohorts from the Environmental influences on Child Health Outcomes (ECHO) Program. Cross-sectional information on demographic factors, parent-report of an ASD diagnosis by clinician, Social Responsiveness Scale (SRS) scores, and Child Behavior Checklist (CBCL) scores were obtained for children aged 2.5-18 years by surveys. We examined mean differences in CBCL Total Problems and DSM-oriented subscale scores by autism diagnosis and by child sex. Analyses using logistic regression were conducted to examine whether autism was associated with higher CBCL scores. We further examined if these relationships differed by child age category (< 6 years, 6-11 years, 12 + years). The relationships between SRS score and CBCL total and subscale scores were examined using quantile regression models, with analyses adjusted for child sex and age. RESULTS: In ECHO, 553 youth were reported by a parent to have a clinician diagnosis of autism spectrum disorder (ASD) (432 [78%] boys and 121 [22%] girls). Youth on the spectrum had higher mean CBCL raw scores on Total Problems and all DSM-oriented subscales compared to those not on the spectrum (all p < 0.0001). Analyses adjusted for sex and stratified by age group indicated that higher odds of autism diagnosis were associated with total, depression, anxiety, and attention-deficit/hyperactivity disorder (ADHD) scales in the top 30% of the CBCL score distribution. Autistic girls were more likely to have parent-reported depression and anxiety compared to autistic boys. In quantile regression analyses, we observed evidence of stronger associations between SRS and CBCL for those in higher quantiles of CBCL total problems scale score (beta representing 1-unit change in SRS associated with 1-unit increase in CBCL total problems scale score), among children in the 70-90th percentile (β = 1.60, p < 0.01), or top 10th percentile (β = 2.43, p < 0.01) of the CBCL total problems scale score distribution. Similar findings were seen for the DSM-oriented depression, anxiety, and ADHD subscales. CONCLUSION/CONCLUSIONS: Results from this large national sample suggest increased behavioral and emotional problems among autistic children compared to non-autistic children throughout early life. Among children on the spectrum this may warrant increased monitoring for co-occurring behavioral and emotional problems.

IMPORTANCE/UNASSIGNED:Prior studies report negative associations between prenatal exposure to fine particulate matter (ie, aerodynamic diameter <2.5 µg; PM2.5) and birth weight, but have typically averaged exposure across pregnancy, which may not reveal windows of susceptibility. OBJECTIVE/UNASSIGNED:To identify windows of prenatal susceptibility to PM2.5. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:This was a retrospective analysis of a prospectively enrolled cohort study. Participants were enrolled at 1 of 50 sites participating in the US Environmental Influences on Child Health Outcomes Cohort. The study included full-term, singleton births occurring between September 2003 and December 2021. Statistical analyses were conducted from March 2024 to February 2025. EXPOSURES/UNASSIGNED:Daily residential PM2.5 exposure was estimated using a machine-learning model covering the contiguous US and mean exposure estimates were calculated for each week of pregnancy. MAIN OUTCOMES AND MEASURES/UNASSIGNED:Bayesian distributed lag interaction models were used to examine cumulative and week-specific associations between PM2.5 exposure and birth weight for gestational age (BWGA) z scores. Interactions with sex, race and ethnicity, and region were also examined. RESULTS/UNASSIGNED:The sample of 16 868 mother-newborn pairs (maternal mean [SD] age, 30.4 [5.5] years; 605 [3.6%] Asian, 2197 [13.0%] Black or Black-Hispanic, 3407 [20.2%] Hispanic, 9251 [54.8%] non-Hispanic White, and 1408 [8.4%] other) included 15 806 unique mothers and 1062 mothers with 2 or more children in the study. Mean (SD) weekly PM2.5 exposure during pregnancy was relatively low, at 8.03 (2.3) µg/m3, and overall mean (SD) birth weight was 3410.7 (464.5) g. In the sample overall, there was a negative association between PM2.5 exposure and BWGA z score (β = -0.06; 95% credible interval [CrI], -0.10 to -0.03), with a critical window in early gestation (weeks 1-5) that persisted only among males (β = -0.06; 95% CrI, -0.10 to -0.02). When examining differences by region, there were negative associations in the Northeast (β = -0.09; 95% CrI, -0.15 to -0.03), Midwest (β = -0.11; 95% CrI, -0.17 to -0.05; critical window, 12-18 weeks), and South (β = -0.18; 95% CrI, -0.17 to -0.05; critical window, 3-9 weeks). CONCLUSIONS AND RELEVANCE/UNASSIGNED:In this cohort study, higher PM2.5 exposure was associated with lower BWGA z score, with critical windows identified during early pregnancy to midpregnancy; however, findings varied by sex and region. Understanding windows of susceptibility to environmental exposures can help guide research on underlying biological processes and can inform strategies for limiting exposure during certain periods of pregnancy.

Prenatal cannabis and tobacco exposure is associated with attention and behavior problems in children, while associations with autism symptoms remain unclear. We prospectively examined whether parental cannabis and tobacco use during pregnancy were associated with childhood autism symptoms. Information on parental cannabis and tobacco use was assessed using questionnaires, and maternal cannabis metabolites were detected via urinalysis. We measured autistic symptoms using two mother-reported instruments: Child Behavior Checklist (CBCL) at ages 1.5, 3, and 6; and Social Responsiveness Scale (SRS) at 6 years (n = 4380). Linear mixed models were used to examine the association between parental cannabis and tobacco use and CBCL autism symptoms across childhood. Linear regression was used for SRS autism symptoms. Maternal cannabis use before, but not during, pregnancy was associated with higher CBCL autism symptoms across childhood (β: 0.33, 95 % CI: 0.02, 0.63). Paternal cannabis use was linked to higher CBCL autism symptoms across childhood (β: 0.27, 95 % CI: 0.05, 0.50), explained by maternal psychopathology; no association was found with SRS autism symptoms. Excluding cannabis users, children whose mothers used tobacco throughout pregnancy had more SRS autism symptoms (β: 0.03, 95 % CI: 0.003, 0.05), not CBCL; no association was found with paternal tobacco use. Our results suggest that maternal and paternal cannabis use is not associated with offspring autism symptoms, although preconception use is associated with autism symptoms across childhood. In contrast, maternal continued tobacco use during pregnancy was associated with autism symptoms, but not paternal use, suggesting possible intrauterine programming rather than family-based factors.

Hypertensive disorders of pregnancy (HDP) are a leading cause of maternal and infant mortality and morbidity worldwide. This prospective cohort study investigated the association of racial and ethnic disparities in HDP and explored the potential mediation effect of environmental chemical exposures on excess HDP risk among non-Hispanic Black pregnant people. A total of 3,279 pregnant people were included from 11 cohorts across the United States in the Environmental influences on Child Health Outcomes (ECHO) Program. We analyzed 20 environmental chemicals detected in over 70 % of biospecimens collected during pregnancy. Among Hispanic, non-Hispanic White, and non-Hispanic Black participants, 11.8 %, 10.8 %, and 16.6 % were diagnosed with HDP, respectively. Compared with non-Hispanic White participants, non-Hispanic Black participants had a higher risk of HDP (aRR = 1.48; 95 % CI 1.13-1.94) and higher levels of traditional phthalate metabolites, but lower levels of phthalate alternative metabolites and perfluorooctanoic acid. Hispanic participants had a lower risk of gestational hypertension (aRR = 0.62; 95 % CI 0.40-0.98) and lower levels of perfluoroalkyl substances than non-Hispanic White participants. Critically, despite these race/ethnicity-specific exposure patterns, individual chemical exposures did not mediate the association between racial/ethnic group and HDP. These findings highlight the need to investigate cumulative chemical mixtures and non-chemical environmental and social determinants as potential drivers of HDP disparities.

Experimental evidence shows that organophosphate esters (OPEs), common flame retardants and plasticizers, can cause developmental neurotoxicity. We investigated the extent to which prenatal OPE exposure was associated with child cognition. Participants were 831 mother-child pairs from 3 sites in the Environmental influences on Child Health Outcomes (ECHO) Cohort with data on urinary levels of 9 OPE analytes during gestation (2009-2019) and child cognition. Based on detection frequencies, analytes were modeled continuously (adjusted for urinary dilution and log2-transformed), categorically (high/low/non-detect), or dichotomously (detect/non-detect). Children's cognition was measured using the Wechsler Preschool and Primary Scale of Intelligence or Wechsler Intelligence Scale for Children at mean age 5.7 years (SD=0.7). We examined associations of OPE analyte with age- and sex-standardized cognition scores using linear regression with generalized estimating equations to account for clustering within sites. We also tested for effect measure modification by sex. The analyte with the highest detection frequency (96.4%) was diphenyl phosphate (DPHP), a primary metabolite of triphenyl phosphate (TPHP). Higher concentrations of DPHP were associated with lower cognition scores ( per doubling of concentrations=-0.46, 95%CI: -0.90, -0.02). Bis(butoxyethyl) phosphate (BBOEP), bis(1-chloro-2-propyl) phosphate (BCPP), and bis(2-methylphenyl) phosphate (BMPP) above the detection limit (vs. below) were associated with higher cognition scores mainly in boys; but, sex interaction with BMPP was not significant. Prenatal exposure to DPHP, a widely detected OPE, was associated with lower cognitive functioning, though the effect size was small. Given widespread exposure, findings related to this and other OPEs should be further examined in mechanistic studies.