Evidence map›Paper›PMID 41154870›Full record

ArticleInternational journal of environmental research and public health2025

Prenatal Phthalate Exposures and Adiposity Outcomes Trajectories: A Multivariate Bayesian Factor Regression Approach.

Phuc H Nguyen, Stephanie M Engel, Amy H Herring

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Phuc H NguyenLinkedIn Corporation, Sunnyvale, CA 94085, USA.ORCID 0000-0002-6206-0194
Stephanie M EngelDepartment of Epidemiology, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Amy H HerringDepartment of Statistical Science, Duke University, Durham, NC 27708, USA.

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
Early Life Phthalate Exposures in Relation to Structural and Functional Brain DevelopmentR01ES033518 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel, Weili Lin · 2021 to 2026
$3.3M
Reproducibility and Robustness of Dimensionality ReductionR01ES027498 · NIEHS · DUKE UNIVERSITY · PI HERRING, AMY H · 2017 to 2021
$2.9M
Structured nonparametric methods for mixtures of exposuresR01ES028804 · NIEHS · DUKE UNIVERSITY · PI DUNSON, DAVID BRIAN · 2018 to 2021
$2.2M
Improving inferences on health effects of chemical exposuresR01ES035625 · NIEHS · DUKE UNIVERSITY · PI David Brian Dunson · 2023 to 2026
$1.6M
National Institute of Environmental Health Sciences of the United States National Institutes of Health R01ES027498, R01ES02880NIEHS NIH HHS P30 ES010126NIEHS NIH HHS R01 ES027498NIEHS NIH HHS R01 ES028804NIEHS NIH HHS R01 ES033518NIEHS NIH HHS R01 ES035625
6 · The paper itself

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. Our aim was 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 factor, (2) borrows information across highly correlated adiposity outcomes to improve estimation precision, (3) models potentially non-linear time-varying effects of the latent factors on adiposity outcomes, and (4) fully quantifies uncertainty using state-of-the-art prior specifications. The results show that in boys, at younger ages (4-6), all phthalate components are associated with lower adiposity outcomes; however, after age 7, they are associated with higher outcomes. In girls, there is no evidence of associations between phthalate factors and adiposity outcomes.

Indexed as

AdiposityEnvironmental PollutantsPhthalic AcidsPrenatal Exposure Delayed EffectsAdultBayes TheoremBody Mass IndexChildChild, PreschoolFemaleHumansMalePregnancyWaist CircumferenceEnvironmental Pollutantsphthalic acidPhthalic AcidsBayesian statisticsbody mass indexchildhoodfactor regressionoutcome trajectoriesphthalatesprenatal exposure

Identifiers

PMID41154870
PMCPMC12563720

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.