Faculty Bibliography

BACKGROUND:Maternal thyroid dysfunction and maternal depression during pregnancy may increase the risk of child behavioral and emotional problems. We sought to investigate the independent and interactive associations of these two risk factors with child behavior problems. METHODS:We combined data from four cohorts in the Environmental influences on Child Health Outcomes (ECHO) program (N = 949). Maternal thyroid function (thyroid-stimulating hormone [TSH], free thyroxine [fT4], thyroid peroxidase autoantibodies [TPO-Ab], fT4/TSH ratio) was measured predominantly during the first half of pregnancy. We harmonized maternal depression into a continuous measure of antepartum depressive symptomatology and a dichotomous measure reflecting (history of) clinical depression. Child internalizing and externalizing problems were harmonized to the T-score metric of the Child Behavior Checklist. We used multiple linear regression and random effects meta-analysis to assess the average relationship between each predictor and outcome, and the variability in these relationships across cohorts. RESULTS:Across cohorts, antepartum depressive symptomatology was positively associated with both internalizing (meta B = 2.879, 95 % CI 1.87-3.89, p < .001) and externalizing problems (meta B = 1.683, 95 % CI 0.67-2.69, p = .001). None of the indicators of maternal thyroid function was associated with child behavior problems across cohorts. TPO-Ab concentrations were positively associated with child externalizing problems only in offspring of depressed mothers (meta B = 3.063, 95 % CI 0.73-5.40, p = .010). CONCLUSIONS:This study supports the importance of maternal antepartum mental health for child behavior across diverse populations. However, we found little empirical evidence for an association between maternal thyroid function within the normal range during pregnancy and child behavioral problems.

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.

There is growing concern that exposure to per/polyfluoroalkyl substances (PFAS), persistent chemicals used widely to make consumer products water- or grease-proof, may alter immune function, leading to reduced vaccine response or greater susceptibility to infections. We investigated associations between two legacy PFAS (PFOA and PFOS) and infant cytokine levels measured in newborn dried bloodspots (NDBS) from a large population-based birth cohort in Upstate New York, to determine whether exposure to legacy PFAS is associated with variability in cytokine profiles in newborns. We performed adjusted mixed effects regressions for each cytokine against PFOS and PFOA followed by exploratory factor analysis (EFA) on specific cytokine subsets selected via the prior regressions. Among 3448 neonates (2280 singletons and 1168 twins), significant cytokines were dominated by cytokines negatively associated with the given PFAS. Adjusted single-pollutant models with continuous log-transformed PFOA showed significant negative associations with IL-16 (-0.07, 95% CI: -0.3, -0.1), IL-5 (-0.05, 95%CI: -0.09, -0.02), IL-6 (-0.06, 95%CI: -0.1, -0.02), 6-Ckine (0.06, 95% CI: -0.10, -0.02) and significant positive associations with IL-1α (0.066, 95%CI: 0.03, 0.11), MCP-1 (0.06, 95%CI: 0.03, 0.10). Estimates for PFOS were slightly larger than estimates for PFOA but only significant for 6-Ckine (-0.21, 95%CI: -0.09, -0.33) after correction for multiplicity. Our data consistently suggest that legacy PFAS exposures are associated with disrupted, typically reduced, cytokine levels in neonates, with PFOA exposure resulting in more significant differences in individual cytokines and cytokine groupings than PFOS. Regression by PFAS quartile shows evidence of nonlinear dose-response relationships for most cytokines and cytokine groupings.

This is an invitation letter for the principal investigators and cohort studies to join the Consortium on Thyroid and Pregnancy. The inclusion criteria are population-based cohorts with data on maternal thyroid function during pregnancy and any measurement of known groups of endocrine disrupting chemicals.

BACKGROUND:Neighborhood quality may contribute to child mental health, but families with young children often move, and residential instability has also been tied to adverse mental health. This study's primary goal was to disentangle the effects of neighborhood quality from those of residential instability on mental health in middle childhood. METHODS:1,946 children from 1,652 families in the Upstate KIDS cohort from New York state, US, were followed prospectively from birth to age 10. Residential addresses were linked at the census tract level to the Child Opportunity Index 2.0, a multidimensional indicator of neighborhood quality. The number of different addresses reported from birth to age 10 was counted to indicate residential instability, and the change in COI quintile indicated social mobility. Parents completed three assessments of attention-deficit/hyperactivity disorder, problematic behavior, and internalizing psychopathology symptoms at ages 7, 8, and 10. Child and family covariates were selected a priori to adjust sample characteristics, increase estimate precision, and account for potential confounding. RESULTS:In unadjusted models, higher neighborhood quality at birth was associated with fewer psychopathology symptoms in middle childhood, but associations were largely mediated by residential instability. In adjusted models, residential instability was associated with more psychopathology symptoms, even accounting for social mobility. Neighborhood quality at birth had indirect effects on child mental health symptoms through residential instability. CONCLUSIONS:Children born into lower-quality neighborhoods moved more, and moving more was associated with higher psychopathology symptoms. Findings were similar across different timings of residential moves, for girls and boys, and for children who did not experience a major life event. Additional research is needed to better understand which aspects of moving are most disruptive to young children.

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.

BACKGROUND:Exposure to polycyclic aromatic hydrocarbons (PAHs) during childhood has been associated with altered growth and adiposity in children. The effects of prenatal exposure to PAHs on developmental programming of growth and adiposity are still unknown. OBJECTIVE:To study the association of prenatal exposure to PAHs with early childhood growth and adiposity measures. METHODS:In NYU Children's Health and Environment Study (2016-2019), we studied 880 mother-child pairs for maternal urinary PAH metabolites in early, mid, and late pregnancy and measured child weight, length/height, triceps, and subscapular skinfold thicknesses at 1, 2, 3, and 4 years. We used linear mixed models to investigate associations between average pregnancy exposure to PAHs and the z-scores of child repeated measures. The models were adjusted for sociodemographic and health-related factors. RESULTS:Children prenatally exposed to higher levels of PAHs had greater weight and length/height z scores. We found an interaction with time-point of child assessment, showing stronger associations at later ages. For instance, PAH exposure was associated with higher weight z-scores at 3 years: coefficient per Ln-unit increase in 2-NAP=0.25 (95%CI: 0.13, 0.37), 2-PHEN=0.25 (95%CI: 0.11, 0.39), 1-PYR=0.13 (95%CI: 0.02, 0.24), and 4-PHEN=0.09 (95%CI: 0.02, 0.15). Higher concentrations of 2-NAP (coefficient=0.21, 95%CI: 0.11, 0.31), 2-PHEN (coefficient=0.24, 95%CI: 0.12, 0.35), 3-PHEN (coefficient=0.13, 95%CI: 0.02, 0.24]), 4-PHEN (coefficient=0.09, 95%CI: 0.04, 0.15), and 1-PYR (coefficient=0.11, 95%CI: 0.02, 0.21) were associated with higher weight z-score at 4 years. CONCLUSION/CONCLUSIONS:Prenatal PAH exposure may contribute to the developmental programming of growth in childhood.

BACKGROUND:Evidence suggests historical redlining shaped the built environment and health outcomes in urban areas. Only a handful of studies have examined redlining's association with air pollution and adverse birth outcomes in New York City (NYC). Additionally, no NYC-specific studies have examined the impact of redlining on birth weight. METHODS:) exposure during pregnancy using multivariable regression models. Additionally, we examined how maternal residence in a historically redlined neighbourhood during pregnancy influenced birth weight z-score, preterm birth and low birth weight. RESULTS:in our models assessing the relationship between redlining grade and birth outcome, our results did not change. DISCUSSION/CONCLUSIONS:levels today.