Faculty Bibliography

BACKGROUND:The financial hardships and social isolation experienced during the COVID-19 pandemic have been found to adversely affect children's developmental outcomes. While many studies thus far have focused on school-aged children and the pandemic-related impacts on their academic skills and behavior problems, relatively less is known about pandemic hardships and associations with children's development during their early years. Using a racially and economically diverse sample, we examined whether hardships experienced during the pandemic were associated with children's development with a particular focus on communication and socioemotional development. METHODS:Participants from eight cohorts of the Environmental influences on Child Health Outcomes program provided data on pandemic-related financial and social hardships as well as child developmental outcomes. Financial hardship was defined as at least one parent experiencing job loss or change, and social hardship was defined as families' quarantining from household members or extended family and friends. The development of children under 4 was assessed longitudinally, before and during the pandemic (N = 684), using the Ages and Stages Questionnaire (ASQ). The Generalized Estimating Equations, which accounted for within-child correlation, were used for analysis. RESULTS:s = 0.000). Pandemic-related hardships in the social and financial areas did not explain within-individual changes in children's developmental outcomes. CONCLUSION/CONCLUSIONS:Negative developmental changes from pre- to during-pandemic were found in boys, yet we did not find any associations between increased experience of pandemic-related hardships and children's development. E how pandemic hardships affect development using a larger sample size and with longer follow-up is warranted.

Environmental health research aims to assess the impact of environmental exposures, making it crucial to understand their effects due to their broad impacts on the general population. However, a common issue with measuring exposures using bio-samples in laboratory is that values below the limit of detection (LOD) are either left unreported or inaccurately read by machines, which subsequently influences the analysis and assessment of exposure effects on health outcomes. We address the challenge of handling exposure variables subject to LOD when they are treated as either covariates or an outcome. We evaluate the performance of commonly-used methods including complete-case analysis and fill-in method, and advanced techniques such as multiple imputation, missing-indicator model, two-part model, Tobit model, and several others. We compare these methods through simulations and a dataset from NHANES 2013"“2014. Our numerical studies show that the missing-indicator model generally yields reasonable estimates when considering exposure variables as covariates under various settings, while other methods tend to be sensitive to the LOD-missing proportions and/or distributional skewness of exposures. When modeling an exposure variable as the outcome, Tobit model performs well under Gaussian distribution and quantile regression generally provides robust estimates across various shapes of the outcome"™s distribution. In the presence of missing data due to LOD, different statistical models should be considered for being aligned with scientific questions, model assumptions, requirements of data distributions, as well as their interpretations. Sensitivity analysis to handle LOD-missing exposures can improve the robustness of model conclusions.

This study examined the association of gestational diabetes mellitus (GDM), prenatal, and postnatal maternal depressive symptoms with externalizing, internalizing, and autism spectrum problems on the Preschool Child Behavior Checklist in 2379 children aged 4.12 ± 0.60 (48% female; 47% White, 32% Black, 15% Mixed Race, 4% Asian, <2% American Indian/Alaskan Native, <2% Native Hawaiian; 23% Hispanic). Data were collected from the NIH Environmental influences on Child Health Outcomes (ECHO) Program from 2009-2021. GDM, prenatal, and postnatal maternal depressive symptoms were each associated with increased child externalizing and internalizing problems. GDM was associated with increased autism behaviors only among children exposed to perinatal maternal depressive symptoms above the median level. Stratified analyses revealed a relation between GDM and child outcomes in males only.

BACKGROUND:Gender diversity in young adolescents is understudied outside of referral clinics. We investigated gender diversity in an urban, ethnically diverse sample of adolescents from the general population and examined predictors and associated mental health outcomes. METHODS:The study was embedded in Generation R, a population-based cohort of children born between 2002 and 2006 in Rotterdam, the Netherlands (n = 5727). At ages 9-11 and 13-15 years, adolescents and/or their parents responded to two questions addressing children's contentedness with their assigned gender, whether they (a) 'wished to be the opposite sex' and (b) 'would rather be treated as someone from the opposite sex'. We defined 'gender-variant experience' when either the parent or child responded with 'somewhat or sometimes true' or 'very or often true'. Mental health was assessed at 13-15 years, using the Achenbach System of Empirically Based Assessment. RESULTS:Less than 1% of the parents reported that their child had gender-variant experience, with poor stability between 9-11 and 13-15 years. In contrast, 4% of children reported gender-variant experience at 13-15 years. Adolescents who were assigned female at birth reported more gender-variant experience than those assigned male. Parents with low/medium educational levels reported more gender-variant experience in their children than those with higher education. There were positive associations between gender-variant experience and symptoms of anxiety, depression, somatic complaints, rule-breaking, and aggressive behavior as well as attention, social, and thought problems. Similar associations were observed for autistic traits, independent of other mental difficulties. These associations did not differ by assigned sex at birth. CONCLUSIONS:Within this population-based study, adolescents assigned females were more likely to have gender-variant experience than males. Our data suggest that parents may not be aware of gender diversity feelings in their adolescents. Associations between gender diversity and mental health symptoms were present in adolescents.

BACKGROUND:Feeding problems are common in early childhood, and some evidence suggests that feeding problems may be associated with psychopathology. Few prospective studies have explored whether toddler feeding problems predict later psychopathology. METHODS:Mothers of 1,136 children from the Upstate KIDS cohort study provided data when children were 2.5 and 8 years of age. Food refusal (picky eating) and mechanical/distress feeding problems and developmental delays were assessed at 2.5 years. Child eating behaviors (enjoyment of food, food fussiness, and emotional under and overeating) and child psychopathology (attention-deficit/hyperactivity (ADHD), oppositional-defiant (OD), conduct disorder (CD), and anxiety/depression) symptoms were assessed at 8 years. RESULTS:Mechanical/distress feeding problems at age 2.5, but not food refusal problems, were associated with ADHD, problematic behavior (OD/CD), and anxiety/depression symptoms at 8 years in models adjusting for eating behaviors at 8 years and child and family covariates. Associations with mechanical/distress feeding problems were larger for ADHD and problematic behavior than anxiety/depression symptoms, though all were modest. Model estimates were similar for boys and girls. CONCLUSIONS:Much of the research on feeding problems focuses on picky eating. This study suggests that early mechanical and mealtime distress problems may serve as better predictors of later psychopathology than food refusal. Parents and pediatricians could monitor children with mechanical/distress feeding problems for signs of developing psychopathology.

Infant exposure to per/polyfluoroalkyl compounds is associated with immune disruption. We examined associations between neonatal concentrations of perflurooctanoic acid (PFOA) and perfluorooctanesulfonic acid (PFOS) and immunoglobulin (Ig) isotype profiles in a prospective cohort of infants. We measured Ig isotypes, including IgA, IgE, IgM and the IgG subclasses IgG₁, IgG₂, IgG₃, and IgG_4, and PFOA and PFOS in newborn dried bloodspots from N = 3175 infants in the Upstate KIDS Study (2008-2010). We examined the association between newborn Ig isotype levels and individual PFOS and PFOA concentrations using mixed effects regression models with a random intercept to account for twins among study participants. We assessed the joint effect PFOA and PFOS with quantile-based g-computation on all singletons and one randomly selected twin (N = 2901), with Ig categorized as above or below median value. Models were adjusted for infant sex, and maternal pre-pregnancy body mass index, race, parity, age and infertility treatment. In adjusted models, PFOA was inversely associated with IgE (coefficient = -0.12 per unit increase in PFOA, 95% CI: -0.065, -0.17), whereas IgG₂, IgM, and IgA were positively associated with PFOA (coefficient for IgG₂ = 0.22, 95% CI: 0.15, 0.27; coefficient for IgM = 0.11, 95% CI: 0.08, 0.15; and coefficient for IgA = 0.15, 95% CI: 0.07, 0.18). There was no relation between PFOS and Ig isotypes. Analysis of the joint effect of PFOA and PFOS showed an OR of 1.2 (95% CI: 1.04, 1.36) for IgA and OR of 1.12 (95% CI: 1.00, 1.24) for IgG₂ levels above the median for every quartile increase. PFOA levels were significantly associated with elevated IgA, IgM, IgG₂, and reduced levels of IgE in single-pollutant models. A small but significant joint effect of PFOA and PFOS was observed. Our results suggest that early exposure to PFOA and PFOS may disrupt neonatal immunoglobulin levels.

While racial/ethnic differences in fetal growth have been documented, few studies have examined whether they vary by exogenous factors, which could elucidate underlying causes. The purpose of this study was to characterize longitudinal fetal growth patterns by maternal sociodemographic, behavioral, and clinical factors and examine whether associations with maternal race/ethnicity varied by these other predictors. Between 2016-2019, pregnant women receiving prenatal care at NYU Langone were invited to participate in a birth cohort study. Women completed questionnaires and clinical data were abstracted from ultrasound examinations. Maternal characteristics were assessed in relation to fetal biometric measures throughout pregnancy using linear mixed models. Maternal race/ethnicity was consistently associated with fetal biometry: Black, Hispanic, and Asian women had fetuses with smaller head circumference, abdominal circumference, and biparietal diameter than White women. The associations between race/ethnicity and fetal growth varied by nativity for Asian women, such that the disparity between Asian and White women was much greater for US-born than foreign-born women. However, associations for Black and Hispanic women did not vary by nativity. While racial/ethnic-specific fetal growth standards have been proposed, work is needed to elucidate what could be driving these differences, including factors that occur in parallel and differentially affect fetal growth.

BACKGROUND:Young children's digital media use may adversely affect child development, but the mechanisms of this association are unclear. We evaluated whether screen time displaces reading and peer play time, which are subsequently associated with child development. METHODS:When children were 12, 18, 24, 30, and 36 months, mothers (n = 3894) reported the time their children spent on screens, being read to by an adult, and playing with other children. At 36 months, mothers completed the Ages and Stages Questionnaire©, an assessment of their child's developmental status. RESULTS:In unadjusted models, screen time from 12 to 36 months was not associated with reading but was associated with less time engaging in play with peers. In adjusted models accounting for developmental delay at 12 months, family and child characteristics, screen time was not directly associated with developmental delay. More peer play time was associated with a lower likelihood of developmental delay, and having higher screen time increased the likelihood of developmental delay indirectly through reduced peer play time. Results were similar for developmental delays in fine and gross motor, communication, and personal-social domains. CONCLUSIONS:Screen time in early childhood did not displace reported time spent reading, but did displace reported peer play time. IMPACT/CONCLUSIONS:Among children 1-3 years of age, more screen time was associated with less time engaged in peer play but not less reading with an adult. Having higher screen time from 1 to 3 years increased the odds of developmental delay indirectly through reduced peer play time. Ensuring that children engage in adequate time playing with peers may offset the negative associations between screen time and child development.

OBJECTIVE:To evaluate whether children conceived using assisted reproductive technology (ART) or ovulation induction (OI) have greater cardiometabolic risk than children conceived without treatment. DESIGN/METHODS:Clinical assessments in 2018-2019 in the Upstate KIDS cohort. SETTING/METHODS:Clinical sites in New York. PATIENT(S)/METHODS:Three hundred thirty-three singletons and 226 twins from 448 families. INTERVENTION(S)/METHODS:Mothers reported their use of fertility treatment and its specific type at baseline and approximately 4 months after delivery. High validity of the self-reported use of ART was previously confirmed. The children were followed up from infancy through 8-10 years of age. A subgroup was invited to participate in clinic visits. MAIN OUTCOME MEASURE(S)/METHODS:The measurements of blood pressure (BP), arterial stiffness using pulse wave velocity, anthropometric measures, and body fat using bioelectrical impedance analysis were performed (n = 559). The levels of plasma lipids, C-reactive protein, and hemoglobin A1c were measured using blood samples obtained from 263 children. RESULT(S)/RESULTS:The average age of the children was 9.4 years at the time of the clinic visits Approximately 39% were conceived using fertility treatment (18% using ART and 21% using OI). Singletons conceived using fertility treatment (any type or using ART or OI specifically) did not statistically differ in systolic or diastolic BP, heart rate, or pulse wave velocity. Singletons conceived using OI were smaller than singletons conceived without treatment, but the average body mass index of the latter was higher (z-score: 0.41 [SD, 1.24]) than the national norms. Twins conceived using either treatment had lower BP than twins conceived without treatment. However, twins conceived using OI had significantly higher arterial stiffness (0.59; 95% CI, 0.03-1.15 m/s), which was attenuated after accounting for maternal BP (0.29; 95% CI, -0.03 to 0.46 m/s). Twins did not significantly differ in size or fat measures across the groups. The mode of conception was not associated with the levels of lipids, C-reactive protein, or glycosylated hemoglobin. CONCLUSION(S)/CONCLUSIONS:Clinical measures at the age of 9 years did not indicate greater cardiometabolic risk in children conceived using ART or OI compared with that in children conceived without treatment. CLINICAL TRIAL REGISTRATION NUMBER/BACKGROUND:ClinicalTrials.gov #NCT03106493.

Fetal exposure to environmental chemicals has been associated with adverse health outcomes in children and later into adulthood. While several studies have examined correlations and variability of non-persistent chemical exposures throughout pregnancy, many do not capture more recent exposures, particularly in New York City. Our goal was to characterize exposure to phthalates, bisphenols, polycyclic aromatic hydrocarbons, and organophosphate pesticides among pregnant women residing in New York City who enrolled in the New York University Children's Health and Environment Study (NYU CHES) between 2016 and 2018. We measured urinary chemical metabolite concentrations in 671 women at early, mid, and late pregnancy (median 10.8, 20.8, and 29.3 weeks, respectively). We calculated Spearman correlation coefficients among chemical concentrations at each measurement time point. We compared changes in population-level urinary metabolites at each stage using paired Wilcoxon signed-rank tests and calculated intraclass correlation coefficients (ICCs) to quantify intra-individual variability of metabolites across pregnancy. Geometric means and ICCs were compared to nine other pregnancy cohorts that recruited women in 2011 or later as well as nationally reported levels from women of child-bearing age. Compared with existing cohorts, women in NYU CHES had higher geometric means of organophosphate pesticides (Σdiethylphosphates = 28.7 nmol/g cr, Σdimethylphosphates = 57.3 nmol/g cr, Σdialkyl phosphates = 95.9 nmol/g cr), bisphenol S (0.56 μg/g cr), and 2-naphthalene (8.98 μg/g cr). Five PAH metabolites and two phthalate metabolites increased between early to mid and early to late pregnancy at the population level. Spearman correlation coefficients for chemical metabolites were generally below 0.50. Intra-individual exposures varied over time, as indicated by low ICCs (0.22-0.88, median = 0.38). However, these ICCs were often higher than those observed in other pregnancy cohorts. These results provide a general overview of the chemical metabolites measured in NYU CHES in comparison to other contemporary pregnancy cohorts and highlight directions for future studies.