OBJECTIVE
To examine the association between prenatal exposure to a mixture of EDCs and attention-deficit/hyperactivity disorder (ADHD) symptoms in children.
METHODS
Participating were mother-child pairs from the Environmental influences on Child Health Outcomes (ECHO) Cohort (n = 3,962, 18 Sites, 2001-2021). Maternal spot urine samples collected during pregnancy were sent to the Wadsworth Center Human Health Exposure Analysis Resource laboratory and analyzed using a single assay workflow. From those samples, 24 urinary metabolites of EDCs with detection frequency > 70%, were grouped as molar sum of high- and low-molecular-weight phthalates, polycyclic aromatic hydrocarbons, bisphenol S, organophosphate esters, and organophosphate and pyrethroid pesticides. Child ADHD symptoms were assessed using raw scores from the Child Behavior Checklist for preschool-aged (CBCL/1½-5) and school-aged (CBCL/6-18) Attention-Deficit/Hyperactivity Problems subscale. Scores ≥ the 85th and 95th percentiles were respectively classified as borderline and clinical thresholds. Quantile g-computation estimated the expected change in ADHD outcome associated with a one-quartile increase in all prenatal EDC mixture concentrations, using negative binomial models for raw scores and binomial models for percentile thresholds.
RESULTS
Prenatal exposure to the EDC mixture was not associated with child ADHD symptoms in preschool-aged or school-aged children in adjusted models for either continuous raw scores or percentile thresholds.
CONCLUSION
Overall our findings on prenatal EDC mixture exposure and ADHD symptoms were not robust to full adjustment. Future research that can delineate factors such as windows of vulnerability and trajectories of ADHD-related symptoms may help clarify mixed findings in the literature.
Teresa Herrera, Sara Hyman, Roger Newman et al.· Environment International· 0 citations
Background: Metal exposures adversely impact prenatal neurodevelopment; however, their associations with child autism spectrum disorder (ASD) remain unclear. Methods: In the Environmental Influences on Child Health Outcomes Cohort, we analyzed prenatal blood (N = 479) and urinary (N = 482) metal concentrations in relation to Social Responsiveness Scale—Second Edition (SRS-2) total T-scores, SRS-2 subscale T-scores, and ASD diagnosis. Associations were examined using linear and logistic regression for individual metals and Bayesian Kernel Machine Regression for mixtures, adjusting for covariates. Results: Interquartile range increases in maternal blood lead and mercury were associated with higher SRS-2 total T-scores (lead: β = 0.11, 95% confidence interval [CI] = 0.03, 0.18; mercury: β = 0.19, 95% CI = 0.01, 0.37), and maternal blood cadmium was associated with higher odds of ASD diagnosis (OR = 2.42, 95% CI = 1.16, 5.03). Bayesian Kernel Machine Regression revealed joint effects of blood metal mixtures (arsenic, cadmium, mercury, and lead) on social awareness and cognition. Blood cadmium correlated with social awareness in females (raw score: β = 0.85, 95% CI = 0.09, 1.61) versus males (p-interaction = 0.02). Urinary barium correlated with social motivation in females (raw score: β = 0.273, 95% CI = 0.067, 0.478) versus males (p-interaction = 0.05). Conclusions: Future research should prioritize metal speciation, larger samples, and mechanistic studies to clarify sex-specific pathways.
Pi-I. D. Lin, Andrés Cárdenas, K. Lyall et al.· Environmental Epidemiology· 0 citations
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