Evidence map›Paper›PMID 36889565›Full record

ArticleEnvironmental research2023

Prenatal bisphenol A and S exposure and atopic disease phenotypes at age 6.

Abigail Gaylord, Emily S Barrett, Sheela Sathyanarayana, Shanna H Swan, Ruby H N Nguyen, Nicole R Bush, Kecia Carroll, Drew B Day, Kurunthachalam Kannan, Leonardo Trasande

Open access · greenAbstract read
In one paragraph

Article in Environmental research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 20% of its field
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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
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  3. Article
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  5. Article
  6. The association between environmental endocrine-disrupting chemicals and allergic disorders in children: A comprehensive systematic review and meta-analysis.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2025
    Review
  7. Article
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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

10 authors at 9 institutions in 1 country.

Abigail GaylordDepartment of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY, USA. Electronic address: alg2215@cumc.columbia.edu.
Emily S BarrettDepartment of Biostatistics and Epidemiology, Rutgers School of Public Health, Environmental and Occupational Health Sciences Institute, Rutgers University, Piscataway, NJ, USA.
Sheela SathyanarayanaDepartment of Pediatrics, Department of Environmental and Occupational Health Sciences, Department of Epidemiology, University of Washington, Seattle, WA, USA; Seattle Children's Research Institute, University of Washington, Seattle, WA, USA.
Shanna H SwanDepartment of Preventive Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Ruby H N NguyenDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Nicole R BushDepartment of Psychiatry, University of California-San Francisco, San Francisco, CA, USA; Department of Pediatrics, University of California-San Francisco, San Francisco, CA, USA.
Kecia CarrollDepartment of Pediatrics, Icahn School of Medicine at Mount Sinai, Kravis Children's Hospital, New York, NY, USA.
Drew B DaySeattle Children's Research Institute, University of Washington, Seattle, WA, USA.
Kurunthachalam KannanDepartment of Pediatrics, New York University School of Medicine, New York, NY, USA; Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA.
Leonardo TrasandeDepartment of Population Health, New York University School of Medicine, New York, NY, USA; Department of Pediatrics, New York University School of Medicine, New York, NY, USA; Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA; New York University Wagner School of Public Service, New York, NY, USA; New York University School of Global Public Health, New York, NY, USA.
Icahn School of Medicine at Mount Sinai · USCenter for Infectious Disease Research · USColumbia University · USNew York University · USRutgers, The State University of New Jersey · USSeattle Children's Hospital · USUniversity of California, San Francisco · USUniversity of Minnesota · USWagner College · US

Funding

Conduits: Mount Sinai Health System Translational Science HubUL1TR004419 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rosalind J Wright · 2022 to 2026
$46.4M
Prenatal and Early Childhood Pathways To Health:  An Integrated Model of Chemical and Social Exposures, Biological Mechanisms, and Sex-Specific Effects on Neurodevelopment and Respiratory OutcomesUH3OD023271 · OD · UNIVERSITY OF WASHINGTON · PI BUSH, NICOLE RENEE, KARR, CATHERINE J · 2018 to 2022
$37.3M
Maternal Traumatic Stress, Oxidative Stress, Antioxidant Exposures, and Child Asthma and Lung FunctionR01HL132338 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CARROLL, KECIA NICOLE, WRIGHT, ROSALIND J · 2017 to 2021
$3.8M
Pregnancy Folate Status & Early Childhood Respiratory & Atopic Disease OutcomesR01HL109977 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CARROLL, KECIA NICOLE · 2011 to 2015
$3.4M
NCATS NIH HHS UL1 TR004419NHLBI NIH HHS R01 HL109977NHLBI NIH HHS R01 HL132338NIH HHS UH3 OD023271
6 · The paper itself

Abstract

backgroundAtopic disease may be influenced by prenatal and early life exposure to endocrine disrupting chemicals, including bisphenols, but results from epidemiological studies have been mixed. This study aimed to extend the epidemiological literature, hypothesizing that children with higher prenatal bisphenol exposure are more likely to have childhood atopic disease.

methodsUrinary bisphenol A (BPA) and S (BPS) concentrations were measured in each trimester from 501 pregnant women in a multi-center, prospective pregnancy cohort. Ever asthma, current asthma, wheeze, and food allergy) were assessed at age six via standardized ISAAC questionnaire. We constructed generalized estimating equations to examine BPA and BPS exposure jointly at each trimester for each atopy phenotype. BPA was modeled as a log-transformed continuous variable, whereas BPS was modeled as detected versus not detected. We also modeled pregnancy-averaged BPA values and a categorical indicator for number of detectable BPS values over pregnancy (0-3) in logistic regression models.

resultsFirst trimester BPA was associated with inverse odds of food allergy among the entire study sample (OR = 0.78, 95% CI = 0.64-0.95, p = 0.01) and females only (OR = 0.69, 95% CI = 0.52-0.90, p = 0.006). The inverse relationship persisted in pregnancy-averaged models of BPA among females (OR = 0.56, 95% CI = 0.35-0.90, p = 0.006). Second trimester BPA was associated with greater odds of food allergy in the entire sample (OR = 1.27, 95% CI = 1.02-1.58, p = 0.03) and among males only (OR = 1.48, 95% CI = 1.02-2.14, p = 0.04). Odds of current asthma increased among males in the pregnancy-averaged BPS models (OR = 1.65, 95% CI = 1.01-2.69, p = 0.045).

conclusionWe saw opposite effects of BPA on food allergy that were trimester- and sex-specific. These divergent associations warrant further investigation. There is some evidence to suggest that prenatal BPS is associated with asthma among males, but further research is required in cohorts with a greater proportion of prenatal urine samples with detectable BPS to validate these results.

Indexed as

AsthmaPhenolsBenzhydryl CompoundsBisphenol A CompoundsFemaleHumansMalePregnancyProspective StudiesBenzhydryl Compoundsbisphenol ABisphenol A CompoundsPhenolsAsthmaBisphenolsFood allergyPrenatal exposureWheeze

Identifiers

PMID36889565
PMCPMC10101912
OpenAlexW4323306237

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

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.