Faculty Bibliography

PURPOSE/OBJECTIVE:To evaluate whether underlying infertility and mode of conception are associated with childhood behavioral disorders. METHODS:Oversampling on fertility treatment exposure using vital records, the Upstate KIDS Study followed 2057 children (of 1754 mothers) from birth to 11 years. Type of fertility treatment and time to pregnancy (TTP) were self-reported. Mothers completed annual questionnaires reporting symptomology, diagnoses, and medications at 7-11 years of age. The information identified children with probable attention-deficit/hyperactivity disorder, anxiety or depression, and conduct or oppositional defiant disorders. We estimated adjusted relative risks (aRR) for disorders by underlying infertility (TTP > 12 months) or treatment exposure groups compared to children born to parents with TTP ≤ 12 months. RESULTS:Children conceived with fertility treatment (34%) did not have an increased risk of attention-deficit/hyperactivity disorder (aRR): 1.21; 95% CI: 0.88, 1.65), or conduct or oppositional defiant disorders (aRR: 1.31; 0.91, 1.86), but did have an increased risk of anxiety or depression (aRR: 1.63; 1.18, 2.24), which remained elevated even after adjusting for parental mood disorders (aRR: 1.40; 0.99, 1.96). Underlying infertility without the use of treatment was also associated with a risk of anxiety or depression (aRR: 1.82; 95% CI: 0.96, 3.43). CONCLUSIONS:Underlying infertility or its treatment was not associated with risk of attention-deficit/hyperactivity disorder. Observations of increased anxiety or depression require replication.

BACKGROUND:Bisphenols and phthalates are high production volume chemicals used as additives in a variety of plastic consumer products leading to near ubiquitous human exposure. These chemicals have established endocrine disrupting properties and have been linked to a range of adverse reproductive and developmental outcomes. Here, we investigated exposure in relation to fetal growth. METHODS:Participants included 855 mother-fetal pairs enrolled in the population-based New York University Children's Health and Environment Study (NYU CHES). Bisphenols and phthalates were measured in maternal urine collected repeatedly during pregnancy. Analyses included 15 phthalate metabolites and 2 bisphenols that were detected in 50 % of participants or more. Fetal biometry data were extracted from electronic ultrasonography records and estimated fetal weight (EFW) was predicted for all fetuses at 20, 30, and 36 weeks gestation. We used quantile regression adjusted for covariates to model exposure-outcome relations across percentiles of fetal weight at each gestational timepoint. We examined sex differences using stratified models. RESULTS:Few statistically significant associations were observed across chemicals, gestational time periods, percentiles, and sexes. However, within gestational timepoints, we found that among females, the molar sums of the phthalates DiNP and DnOP were generally associated with decreases in EFW among smaller babies and increases in EFW among larger babies. Among males, the opposite trend was observed. However, confidence intervals were generally wide at the tails of the distribution. CONCLUSION/CONCLUSIONS:In this sample, exposure to bisphenols and phthalates was associated with small sex-specific shifts in fetal growth; however, few associations were observed at the median of fetal weight and confidence intervals in the tails were wide. Findings were strongest for DiNP and DnOP, which are increasingly used as replacements for DEHP, supporting the need for future research on these contaminants.

CONTEXT/BACKGROUND:Manganese (Mn) exposure is prevalent, as it is found naturally as ionized trace elements and released into the environment as a byproduct of manufacturing and waste disposal. Animal and human studies have suggested variable effects on thyroid function, but the association of Mn exposure with thyroid function has not been evaluated in a national sample. OBJECTIVE:To investigate the associations between serum and urinary Mn levels and serum thyroid hormone concentrations in a nationally representative sample. DESIGN, SETTING, PARTICIPANTS, AND INTERVENTION/METHODS:This was a cross-sectional analysis of data from the 2011-2012 National Health and Nutrition Examination Survey among 1360 participants. MAIN OUTCOME MEASURES/METHODS:Serum thyroid stimulating hormone (TSH), total triiodothyronine (T3), total thyroxine (T4), free T3, and free T4. RESULTS:Serum Mn levels were positively associated with increasing total T4, free T3, and total T3 in the whole cohort (p < 0.01). Urinary Mn levels were not associated with thyroid hormone levels. When subgroup analyses were performed by gender, only males had total T4 associated with serum Mn [β = 0.01, p < 0.01, confidence interval (CI): 0.004-0.018]. In individuals under 22 years old, serum Mn was significantly associated with total T4 (β = 0.02, p = 0.002, CI: 0.008-0.029). Serum Mn was positively associated with Free T3 in both genders (β = 0.07, p < 0.001). CONCLUSION/CONCLUSIONS:While our findings do not suggest clinical thyroid dysfunction, there is an association between serum Mn and subclinical changes in thyroid function that warrant further studies. Regulatory action should be considered as Mn-based organometallic compounds are being considered as replacements for lead in gasoline and may pose future risks to human health.

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.

BACKGROUND:Air pollution is a health risk in pregnant women and children. Despite the importance of refined exposure assessment, the characterisation of personalised air pollution exposure remains a challenge in paediatric and perinatal epidemiology. OBJECTIVE:We used portable personal air monitors to characterise personalised exposure to air pollutants in pregnant women. METHODS:), and volatile organic compounds (average use = 14 days). Data were stored in real-time on a secure database via synchronisation with a smartphone application. Of 497 women who agreed to use air monitors, 273 women (55%) were successful in using air monitors for longer than a day. For these participants, we identified daily patterns of exposure to air pollutants using functional principal component analysis (3827 days of air monitoring). RESULTS:had higher daily variations compared to PM. CONCLUSIONS:Small wearables are useful for the measurement of personalised air pollution exposure in birth cohorts and identify daily patterns that cannot be captured otherwise. Successful participation, however, depends on certain individual characteristics. Future studies should consider strategies in design and analysis to account for selective participation.

BACKGROUND:Maternal antenatal depression experienced around conception or during pregnancy may adversely affect child development. This study explores three potential mechanisms of the effects of antenatal depression on children's developmental delays at 2-3 years: gestational age of the child, continued depressive symptoms postnatally, and interrupted breastfeeding practices. METHODS:Mothers (N = 2888) of 3450 children, including 2303 singletons and 1147 multiples from the Upstate KIDS cohort provided data. Linked hospital discharge data was combined with mothers' reports to identify women with moderate to severe antenatal depression. Gestational age was extracted from birth certificates. Mothers completed a depression screener at 4 months postpartum, reported about their breastfeeding practices from 4 to 12 months postpartum, and completed a developmental delay screener when children were 24, 30, and 36 months. RESULTS:In unadjusted path analysis models, mothers with antenatal depression had more postnatal depressive symptoms and breastfed fewer months, which translated into children being more likely to have developmental delays. Gestational age was not a mediator. Effects were similar across girls and boys and singletons and twins, and largely held when adjusting for covariates. LIMITATIONS/CONCLUSIONS:Main limitations were the relatively advantaged sample and reliance on maternal report. CONCLUSIONS:Maternal antenatal depression may impact child development through continued depressive symptoms in the postpartum period and through reduced breastfeeding duration suggesting additional targets for intervention.

BACKGROUND:Air pollution is both a sensory blight and a threat to human health. Inhaled environmental pollutants can be naturally occurring or human-made, and include traffic-related air pollution (TRAP), ozone, particulate matter (PM) and volatile organic compounds, among other substances, including those from secondhand smoking. Studies of air pollution on reproductive and endocrine systems have reported associations of TRAP, secondhand smoke (SHS), organic solvents and biomass fueled-cooking with adverse birth outcomes. While some evidence suggests that air pollution contributes to infertility, the extant literature is mixed, and varying effects of pollutants have been reported. OBJECTIVE AND RATIONALE/OBJECTIVE:Although some reviews have studied the association between common outdoor air pollutants and time to pregnancy (TTP), there are no comprehensive reviews that also include exposure to indoor inhaled pollutants, such as airborne occupational toxicants and SHS. The current systematic review summarizes the strength of evidence for associations of outdoor air pollution, SHS and indoor inhaled air pollution with couple fecundability and identifies gaps and limitations in the literature to inform policy decisions and future research. SEARCH METHODS/METHODS:We performed an electronic search of six databases for original research articles in English published since 1990 on TTP or fecundability and a number of chemicals in the context of air pollution, inhalation and aerosolization. Standardized forms for screening, data extraction and study quality were developed using DistillerSR software and completed in duplicate. We used the Newcastle-Ottawa Scale to assess risk of bias and devised additional quality metrics based on specific methodological features of both air pollution and fecundability studies. OUTCOMES/RESULTS:The search returned 5200 articles, 4994 of which were excluded at the level of title and abstract screening. After full-text screening, 35 papers remained for data extraction and synthesis. An additional 3 papers were identified independently that fit criteria, and 5 papers involving multiple routes of exposure were removed, yielding 33 articles from 28 studies for analysis. There were 8 papers that examined outdoor air quality, while 6 papers examined SHS exposure and 19 papers examined indoor air quality. The results indicated an association between outdoor air pollution and reduced fecundability, including TRAP and specifically nitrogen oxides and PM with a diameter of ≤2.5 µm, as well as exposure to SHS and formaldehyde. However, exposure windows differed greatly between studies as did the method of exposure assessment. There was little evidence that exposure to volatile solvents is associated with reduced fecundability. WIDER IMPLICATIONS/CONCLUSIONS:The evidence suggests that exposure to outdoor air pollutants, SHS and some occupational inhaled pollutants may reduce fecundability. Future studies of SHS should use indoor air monitors and biomarkers to improve exposure assessment. Air monitors that capture real-time exposure can provide valuable insight about the role of indoor air pollution and are helpful in assessing the short-term acute effects of pollutants on TTP.

Studying time-dependent exposure mixtures has gained increasing attentions in environmental health research. When a scalar outcome is of interest, distributed lag (DL) models have been employed to characterize the exposures effects distributed over time on the mean of final outcome. However, there is a methodological gap on investigating time-dependent exposure mixtures with different quantiles of outcome. In this article, we introduce semiparametric partial-linear single-index (PLSI) DL quantile regression, which can describe the DL effects of time-dependent exposure mixtures on different quantiles of outcome and identify susceptible periods of exposures. We consider two time-dependent exposure settings: discrete and functional, when exposures are measured in a small number of time points and at dense time grids, respectively. Spline techniques are used to approximate the nonparametric DL function and single-index link function, and a profile estimation algorithm is proposed. Through extensive simulations, we demonstrate the performance and value of our proposed models and inference procedures. We further apply the proposed methods to study the effects of maternal exposures to ambient air pollutants of fine particulate and nitrogen dioxide on birth weight in New York University Children's Health and Environment Study (NYU CHES). This article is protected by copyright. All rights reserved.

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.