Prenatal phthalate exposures and adiposity outcomes trajectories: a multivariate Bayesian factor regression approach
Phuc H. Nguyen, Stephanie M. Engel, Amy H. Herring

TL;DR
This study uses a novel Bayesian multivariate factor regression approach to analyze how prenatal phthalate exposures influence childhood adiposity trajectories, revealing sex-specific effects and age-dependent associations.
Contribution
It introduces a new Bayesian method that models phthalate mixtures as latent factors and accounts for non-linear, time-varying effects on multiple adiposity outcomes.
Findings
In boys, prenatal phthalate exposure is linked to lower adiposity at ages 4-6 and higher at ages 7+.
No significant associations found in girls.
The method improves estimation of complex mixture effects on health outcomes.
Abstract
Experimental animal evidence and a growing body of observational studies suggest that prenatal exposure to phthalates may be a risk factor for childhood obesity. Using data from the Mount Sinai Children's Environmental Health Study (MSCEHS), which measured urinary phthalate metabolites (including MEP, MnBP, MiBP, MCPP, MBzP, MEHP, MEHHP, MEOHP, and MECPP) during the third trimester of pregnancy (between 25 and 40 weeks) of 382 mothers, we examined adiposity outcomes: body mass index (BMI), fat mass percentage, waist-to-hip ratio, and waist circumference, of 180 children between ages 4 and 9. We aimed to assess the effects of prenatal exposure to phthalates on these adiposity outcomes, with potential time-varying and sex-specific effects. We applied a novel Bayesian multivariate factor regression (BMFR) that (1) represents phthalate mixtures as latent factors, a DEHP and a non-DEHP…
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Taxonomy
TopicsEffects and risks of endocrine disrupting chemicals
