Faculty Bibliography

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.

Findings for greenspace's impacts on birth outcomes are largely dependent on vegetation indexes. Examinations are needed for various greenspace indicators given varying pathways for fetal development. This prospective cohort study assessed the impacts of prenatal greenspace exposure on preterm birth (PTB), term low birthweight (TLBW), birthweight, and estimated fetal weight (EFW) for pregnant women in the New York City area, 2016-2023 (n=2765). Longitudinal greenspace exposure was measured for residential histories during pregnancy using the Enhanced Vegetation Index (EVI) for 1000m buffers and four park metrics, namely, the total number, sum of area, and the accessibility of parks within residential buffers (500 m) and the distance to the closest park. Multivariable regression models were used to estimate the associations for quartiles of exposure (with the first quartile [Q1] as reference). Greenspace exposure was not associated with TLBW, birthweight, or EFW. Odds ratios of PTB for the Q2, Q3, and Q4 EVI exposure groups compared to the Q1 group were 0.65 (95% CI: 0.43-0.98), 0.51 (0.32-0.80), and 0.56 (0.35-0.90), respectively. PTB risks decreased in higher exposure groups (Q2-Q4) of the total park number. Results indicate the benefits of prenatal greenspace exposure for fetal maturity and neonatal outcomes.

Exposure to pollutants and chemicals during critical developmental periods in early life can impact health and disease risk across the life course. Research in environmental epigenetics has provided increasing evidence that prenatal exposures affect epigenetic markers, particularly DNA methylation. In this article, we discuss the role of DNA methylation in early life programming and review evidence linking the intrauterine environment to epigenetic modifications, with a focus on exposure to tobacco smoke, metals, and endocrine-disrupting chemicals. We also discuss challenges and novel approaches in environmental epigenetic research and explore the potential of epigenetic biomarkers in studies of pediatric populations as indicators of exposure and disease risk. Overall, we aim to highlight how advancements in environmental epigenetics may transform our understanding of early-life exposures and inform new approaches for supporting long-term health.

Exposure to pollutants and chemicals during critical developmental periods in early life can impact health and disease risk across the life course. Research in environmental epigenetics has provided increasing evidence that prenatal exposures affect epigenetic markers, particularly DNA methylation. In this article, we discuss the role of DNA methylation in early life programming and review evidence linking the intrauterine environment to epigenetic modifications, with a focus on exposure to tobacco smoke, metals, and endocrine-disrupting chemicals. We also discuss challenges and novel approaches in environmental epigenetic research and explore the potential of epigenetic biomarkers in studies of pediatric populations as indicators of exposure and disease risk. Overall, we aim to highlight how advancements in environmental epigenetics may transform our understanding of early-life exposures and inform new approaches for supporting long-term health.

INTRODUCTION/BACKGROUND:Bisphenols are endocrine-disrupting chemicals known to contribute to chronic disease across the lifespan. With increased awareness of their health effects, changes in regulation and health behaviors have contributed to reductions in urinary bisphenol A (BPA) levels in the United States, Canada, and Europe. However, global trends in bisphenols outside these regions, especially bisphenol S (BPS) exposure, have been less studied. AIM/OBJECTIVE:We examine trends in urinary BPA and BPS concentration in non-occupationally exposed populations, where representative data at a country level is unavailable. METHODS:index, and funnel plots. RESULTS:, 95% CI: [-0.50, -0.08], respectively). In the sensitivity analyses excluding studies with geometric or arithmetic mean values, each displayed significant shifts from the main findings with some consistent outcomes occurring internationally and/or in specific regions. Heterogeneity was high across studies, suggesting possible bias in our estimations. CONCLUSIONS:Our findings provide evidence for concern about increasing population exposure to BPA and BPS. Further studies estimating attributable disease burden and costs at regional and global levels are warranted to show these chemicals' impact on population health and economies.

INTRODUCTION/BACKGROUND:The general population is chronically exposed to organophosphate pesticides through various routes including ingestion, hand-to-mouth contact, inhalation, and dermal contact. Exposure to organophosphate pesticides during pregnancy impairs fetal development, but the potential long-term effects of gestational organophosphate pesticide exposure are less well understood. METHODS:We investigated associations between gestational organophosphate pesticide exposure and cardiovascular outcomes in 643 children in the Generation R Study, a prospective pregnancy cohort based in Rotterdam, The Netherlands. Urinary organophosphate pesticide metabolites (dimethyl [∑DMAP], diethyl [∑DEAP], and total dialkyl phosphate [∑DAP] metabolites) were quantified in three urine samples collected from pregnant participants, and their children were followed until age 10 years at which time cardiac magnetic resonance imaging, ultrasonography, blood pressure, and serum biomarkers assessed cardiovascular health. Linear regression models estimated associations (β and 95 % confidence interval [CI]) between a one-interquartile range (IQR) increase in averaged gestational exposure biomarker concentrations and z-scored pediatric cardiovascular outcomes. We investigated effect modification of associations by PON1 genotype. RESULTS:Carotid intima-media thickness z-score was lower (β: -0.14 [95 % CI: -0.25, -0.02]) and HDL cholesterol z-score was higher (β: 0.14 [95 % CI: 0.02, 0.25]) for increases in ∑DEAP concentrations. Carotid intima-media distensibility z-score was lower (β: -0.08 [95 % CI: -0.19, 0.03]) for increases in ∑DMAP concentrations, and systolic blood pressure z-score was higher (β: 0.10 [95 % CI: -0.01, 0.21]) for increases in ∑DMAP and ∑DAP. Among those with PON1-161CC and PON1-L55MTT genotypes, higher organophosphate pesticide concentrations conferred an excess risk of adverse vascular and glycemic outcomes, respectively. CONCLUSIONS:We observed heterogenous associations between gestational organophosphate pesticide exposure and pediatric cardiovascular health: an anti-atherogenic profile was observed for increases in ∑DEAP concentrations, and impairments in multiple aspects of cardiovascular health was observed for increases in ∑DMAP concentrations. PON1-161 and PON1-L55M single nucleotide polymorphisms modified associations for vascular and glycemic outcomes, respectively.

INTRODUCTION/BACKGROUND:Organophosphate esters (OPEs) are increasing in use as flame retardants and plasticizers and concerns have been raised given their endocrine-disrupting activities and possible obesogenic consequences. However, longitudinal studies on gestational OPE exposure and childhood obesity are scarce. This study examined whether OPE levels in maternal urine during pregnancy were associated with the risk of childhood obesity. METHODS:OPEs were analyzed in pregnancy urine samples of 5,087 individuals from 14 studies contributing to the Environmental influences on Child Health Outcomes (ECHO) Cohort. BDCPP, DBUP/DIBP, and DPHP, detected in > 80 % of the samples, were modeled continuously and by tertiles; whereas BCPP, BBOEP, and BCETP, detected in 50-80 % of samples, were modeled categorically (not-detected, low, and high). Childhood obesity was defined by BMI z-score ≥ 95th percentile according to WHO (<2 years) and the CDC (≥2 years) metrics. Adjusted modified Poisson regression models assessed childhood obesity risk and the mixture effect was assessed using Bayesian kernel machine regression (BKMR). RESULTS:BMI measurements were available for 3,827 children in infancy (0.5-1.9 years), 3,921 children in early childhood (2.0-4.9 years), and 2,541 children in mid-childhood (5.0-10.0 years). Obesity was present in 16-21 % of children across age groups. In mid-childhood DBUP/DIBP second and third versus first tertiles were associated with increased obesity risk (RR 1.14; 95 % CI: 1.02, 1.28; and RR 1.11; 95 % CI: 0.97, 1.27; respectively); whereas BDCPP second and third versus first tertiles reflected an inverse association with obesity risk (RR 0.85; 95 % CI: 0.80, 0.91 and RR 0.91; 95 % CI: 0.77, 1.07; respectively). No association with obesity risk was observed for DPHP, BCPP, BBOEP, and BCETP. Directions observed were consistent with those seen in BKMR models. CONCLUSIONS:This study identified mixed associations between gestational OPE exposure and childhood obesity. Further investigation across a comprehensive range of OPE exposures is warranted.

Previous studies have provided evidence for associations between glyphosate and aminomethylphosphonic acid (AMPA) exposure and adverse birth outcomes. However, few pregnancy cohort studies have investigated dietary and other determinants of glyphosate and AMPA exposure. We aimed to identify dietary and sociodemographic factors that predict glyphosate and AMPA exposure in a contemporary, urban pregnancy cohort in the US. The study included 725 pregnant participants from the New York University Children's Health and Environment Study (NYU CHES) in New York City. Urinary concentrations of glyphosate and AMPA, determined by high-performance liquid chromatography and tandem mass spectrometry, were analyzed in urine collected from NYU CHES participants across three prenatal time points. The Diet Health Questionnaire II was completed to capture dietary intake during the prenatal period. Descriptive statistics and bivariate linear models were used to assess determinants of urinary glyphosate and AMPA concentrations. Median urinary glyphosate and AMPA levels were 0.36 ng/mL and 0.37 ng/mL, respectively. Lower glyphosate levels were associated with younger age, obesity, public insurance, being single, and lower educational attainment. Nuts, seeds and whole grain intake was associated with increased urinary glyphosate concentrations. Urinary glyphosate concentrations were lower in summer than in winter. The study findings highlight widespread exposure to glyphosate and AMPA in this pregnancy cohort, with nuts/seeds and whole grains identified as possible dietary sources of exposure. High detection rates in the study population necessitate further research on dietary exposure patterns and perinatal outcomes to inform targeted interventions and reduce exposure in vulnerable populations.

BACKGROUND:A major challenge in epidemiology is knowing when an exposure effect is large enough to be clinically important, in particular how to interpret a difference in mean outcome in unexposed/exposed groups. Where it can be calculated, the proportion/percentage beyond a suitable cut-point is useful in defining individuals at high risk to give a more meaningful outcome. In this simulation study we compute differences in outcome means and proportions that arise from hypothetical small effects in vulnerable sub-populations. METHODS:Data from over 28,000 mother/child pairs belonging to the Environmental influences on Child Health Outcomes Program were used to examine the impact of hypothetical environmental exposures on mean birthweight, and low birthweight (LBW) (birthweight < 2500g). We computed mean birthweight in unexposed/exposed groups by sociodemographic categories (maternal education, health insurance, race, ethnicity) using a range of hypothetical exposure effect sizes. We compared the difference in mean birthweight and the percentage LBW, calculated using a distributional approach. RESULTS:When the hypothetical mean exposure effect was fixed (at 50, 125, 167 or 250g), the absolute difference in % LBW (risk difference) was not constant but varied by socioeconomic categories. The risk differences were greater in sub-populations with the highest baseline percentages LBW: ranging from 3.1-5.3 percentage points for exposure effect of 125g. Similar patterns were seen for other mean exposure sizes simulated. CONCLUSIONS:Vulnerable sub-populations with greater baseline percentages at high risk fare worse when exposed to a small insult compared to the general population. This illustrates another facet of health disparity in vulnerable individuals.