Evidence map›Paper›PMID 39893913›Full record

ArticleEnvironment international2025

Gestational exposure to environmental chemical mixtures and cognitive abilities in children: A pooled analysis of two North American birth cohorts.

Jagadeesh Puvvula, Wei-Ting Hwang, Lawrence McCandless, Changchun Xie, Joseph M Braun, Ann M Vuong, Youssef Oulhote, Enrique F Schisterman, Russell T Shinohara, Linda Booij and 13 more

Abstract read
In one paragraph

Article in Environment international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. An Exploration of Machine Learning Methods in Human Biomonitoring.International journal of environmental research and public health · 2026
    Review
  5. Article
  6. Article
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors.

Jagadeesh PuvvulaDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: Jagadeesh.Puvvula@pennmedicine.upenn.edu.
Wei-Ting HwangDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Lawrence McCandlessFaculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada.
Changchun XieDepartment of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Joseph M BraunDepartment of Epidemiology, Brown University, Providence, RI, USA.
Ann M VuongDepartment of Epidemiology and Biostatistics, School of Public Health, University of Nevada Las Vegas, Las Vegas, NV, USA.
Youssef OulhoteDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Enrique F SchistermanDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Russell T ShinoharaDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, USA; Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, USA.
Linda BooijDepartment of Psychiatry, McGill University, Montreal, Quebec, Canada; Eating Disorders Continuum, Douglas Mental Health University Institute, Montreal West Island Integrated Health and Social Services Centre, Montreal, Quebec, Canada; Research Centre, Douglas Mental Health University Institute, Montreal, Quebec, Canada.
Maryse F BouchardCHU Sainte-Justine Research Centre, Montreal, Quebec, Canada; Institut national de la recherche scientifique (INRS) - Centre Armand-Frappier Santé Biotechnologie, Laval, Montreal, Canada.
Kristin LinnDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, USA.
Michael M BorgheseEnvironmental Health Science and Research Bureau, Healthy Environments and Consumer Safety Branch, Health Canada, Ottawa, Ontario, Canada.
Jean R SeguinCHU Sainte-Justine Research Centre, Montreal, Quebec, Canada; Department of Psychiatry and Addictology, School of Medicine, Université de Montréal, Montreal, Quebec, Canada.
Angelika ZidekExisting Substances and Risk Assessment Bureau, Health Canada, Ottawa, Ontario, Canada.
Christine TillPsychology Department, York University, Toronto, Ontario, Canada.
William FraserDepartment of Obstetrics and Gynecology, Centre de Recherche du CHUS, University of Sherbrooke, Sherbrooke, Quebec, Canada.
Kimberly YoltonDepartment of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, USA; Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Kim M CecilDepartment of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, USA; Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA; Department of Radiology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Jillian Ashley-MartinEnvironmental Health Science and Research Bureau, Healthy Environments and Consumer Safety Branch, Health Canada, Ottawa, Ontario, Canada.
Tye E ArbuckleEnvironmental Health Science and Research Bureau, Healthy Environments and Consumer Safety Branch, Health Canada, Ottawa, Ontario, Canada.
Bruce LanphearFaculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada; Child and Family Research Institute, BC Children's Hospital, Vancouver, BC, Canada.
Aimin ChenDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Funding

Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI A. Clementina Mesaros · 2006 to 2026
$35.3M
Early mid-life environmental toxicant exposures and AD/ADRD risk in CARDIAU01AG088658 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Aimin Chen, Lifang Hou · 2024 to 2026
$6.5M
Study of Prevalent Neurotoxicants in ChildrenP01ES011261 · NIEHS · CINCINNATI CHILDRENS HOSP MED CTR · PI LANPHEAR, BRUCE P · 2001 to 2006
$6.4M
Developmental neurotoxicity of organophosphate and novel brominated flame retardants in childrenR01ES028277 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI CHEN, AIMIN · 2017 to 2022
$3.4M
Impact of pre- and postnatal chemical mixture exposures on child neurobehavior and neuroimagingR01ES033054 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI CHEN, AIMIN · 2021 to 2025
$3.3M
The interplay of early life exposure to environmental pollutants and folate system in the etiology of autistic behaviorsR01ES032552 · NIEHS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI Youssef Oulhote · 2022 to 2026
$3.1M
Internalizing Behaviors and Neuroimaging Outcomes: Impact of PBDE and PFC ExposuresR01ES027224 · NIEHS · CINCINNATI CHILDRENS HOSP MED CTR · PI CECIL, KIM M, YOLTON, KIMBERLY · 2016 to 2020
$3.0M
A Community-Based Trial to Prevent Lead Poisoning and InjuriesR01ES014575 · NIEHS · CINCINNATI CHILDRENS HOSP MED CTR · PI YOLTON, KIMBERLY · 2007 to 2011
$2.9M
Longitudinal study of exposure to PBDEs and PFCs and child neurobehaviorR01ES020349 · NIEHS · UNIVERSITY OF CINCINNATI · PI CHEN, AIMIN, LANPHEAR, BRUCE P · 2011 to 2015
$2.9M
Early life organophosphate ester (OPE) exposures and adiposity and cardiometabolic health during adolescenceR01ES033200 · NIEHS · UNIVERSITY OF NEVADA LAS VEGAS · PI Ann Vuong · 2022 to 2026
$2.0M
NIA NIH HHS U01 AG088658NIEHS NIH HHS P01 ES011261NIEHS NIH HHS P30 ES013508NIEHS NIH HHS R01 ES014575NIEHS NIH HHS R01 ES020349NIEHS NIH HHS R01 ES027224NIEHS NIH HHS R01 ES028277NIEHS NIH HHS R01 ES032552NIEHS NIH HHS R01 ES033054NIEHS NIH HHS R01 ES033200
6 · The paper itself

Abstract

backgroundGestational exposures to single toxic chemicals have been associated with cognitive deficits in children, but few studies have explored chemical mixtures.

objectivesTo evaluate the associations between gestational chemical biomarker mixtures and cognitive abilities in children from two prospective cohorts.

methodsThis study includes 617 birthing parent-child pairs from the Health Outcomes and Measures of the Environment (HOME) and Maternal-Infant Research on Environmental Chemicals (MIREC) Studies. We measured 29 chemical biomarkers (metals, persistent organic pollutants, perfluoroalkyl substances, organophosphate esters, phenols, phthalates, organophosphate pesticides, and parabens) in pregnant individuals during early pregnancy and their children's cognitive abilities at ages 3 to 5 years using Wechsler Intelligence Scales. We assessed linear associations using quantile g-computation and non-linear associations using Bayesian Kernel Machine Regression (BKMR) methods, adjusted for covariates.

resultsUsing quantile g-computation, we observed overall null associations between the chemical biomarker mixture and cognitive outcomes among preschool-age children. Although statistical significance was not attained for child sex as an effect modifier, our stratified analysis unveiled a moderate divergence in association trends. We noted a marginal inverse trend between the chemical biomarker mixture and cognitive scores [Full-Scale Intelligence Quotient (FSIQ) & Performance Intelligence Quotient (PIQ)] among males. Using quantile g-computation and BKMR methods, we observed that PBDE47, PFHxS, and di-ethyl organophosphates commonly contributed towards a decline in FSIQ scores in males. Among males, a quartile increase in the chemical biomarker mixture was associated with a 0.64-point decrease (95% CI: -2.59, 1.31) in the FSIQ score and a 1.59-point decrease (95% CI: -3.72, 0.54) in the PIQ score.

conclusionIn this study, we observed a weak negative trend between the gestational chemical biomarker mixture and cognitive scores (FSIQ/PIQ) among males. Further studies are needed to confirm the findings between the longitudinal chemical biomarkers and child cognitive scores at school ages.

Indexed as

CognitionEnvironmental ExposureEnvironmental PollutantsMaternal ExposurePrenatal Exposure Delayed EffectsAdultBiomarkersBirth CohortChild, PreschoolFemaleHumansMaleNorth AmericaPregnancyProspective StudiesBiomarkersEnvironmental PollutantsChild IQCognitiveEnvironmental chemicalGestationalMixtureWISCWPPSI

Identifiers

PMID39893913
PMCPMC11896093

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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.