Evidence map›Paper›PMID 38968832›Full record

ArticleEnvironment international2024

Prenatal exposure to environmental phenols and fetal growth across pregnancy in the LIFECODES fetal growth study.

Paige A Bommarito, Danielle R Stevens, Barrett M Welch, John D Meeker, David E Cantonwine, Thomas F McElrath, Kelly K Ferguson

Abstract read
In one paragraph

Article in Environment international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

7 authors.

Paige A BommaritoEpidemiology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.
Danielle R StevensEpidemiology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.
Barrett M WelchSchool of Public Health, University of Nevada, Reno, NV, USA.
John D MeekerDepartment of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
David E CantonwineDivision of Maternal-Fetal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Thomas F McElrathDivision of Maternal-Fetal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Kelly K FergusonEpidemiology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA. Electronic address: kelly.ferguson2@nih.gov.

Funding

Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
LIFECODES pregnancy cohortZIAES103321 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI FERGUSON, KELLY · 2016 to 2025
$6.1M
Environmental PAH exposure and preeclampsia risk: Investigation of PE subtypes and the role of inflammation and oxidative stress.R01ES031591 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI John D. Meeker · 2021 to 2026
$3.9M
Intramural NIH HHS ZIA ES103321NIEHS NIH HHS P30 ES017885NIEHS NIH HHS R01 ES031591
6 · The paper itself

Abstract

introductionEnvironmental phenols are endocrine disrupting chemicals hypothesized to affect early life development. Previous research examining the effects of phenols on fetal growth has focused primarily on associations with measures of size at delivery. Few have included ultrasound measures to examine growth across pregnancy.

objectiveInvestigate associations between prenatal exposure to phenols and ultrasound and delivery measures of fetal growth.

methodsUsing the LIFECODES Fetal Growth Study (n = 900), a case-cohort including 248 small-for-gestational-age, 240 large-for-gestational age, and 412 appropriate-for-gestational-age births, we estimated prenatal exposure to 12 phenols using three urine samples collected during pregnancy (median 10, 24, and 35 weeks gestation). We abstracted ultrasound and delivery measures of fetal growth from medical records. We estimated associations between pregnancy-average phenol biomarker concentrations and repeated ultrasound measures of fetal growth using linear mixed effects models and associations with birthweight using linear regression models. We also used logistic regression models to estimate associations with having a small- or large-for-gestational birth.

resultsWe observed positive associations between 2,4-dichlorophenol, benzophenone-3, and triclosan (TCS) and multiple ultrasound measures of fetal growth. For example, TCS was associated with a 0.09 (95 % CI: 0.01, 0.18) higher estimated fetal weight z-score longitudinally across pregnancy. This effect size corresponds to a 21 g increase in estimated fetal weight at 30 weeks gestation. Associations with delivery measures of growth were attenuated, but TCS remained positively associated with birthweight z-scores (mean difference: 0.13, 95 % CI: 0.02, 0.25). Conversely, methylparaben was associated with higher odds of a small-for-gestational age birth (odds ratio: 1.45, 95 % CI: 1.06, 1.98). DISCUSSION: We observed associations between some biomarkers of phenol exposure and ultrasound measures of fetal growth, though associations at the time of delivery were attenuated. These findings are consistent with hypotheses that phenols have the potential to affect growth during the prenatal period.

Indexed as

Birth WeightEndocrine DisruptorsEnvironmental PollutantsFetal DevelopmentMaternal ExposurePhenolsAdultBiomarkersCohort StudiesFemaleGestational AgeHumansInfant, NewbornMalePregnancyPrenatal Exposure Delayed EffectsBiomarkersEndocrine DisruptorsEnvironmental PollutantsPhenolsBirthweightEnvironmental phenolsEstimated fetal weightFetal growth

Identifiers

PMID38968832
PMCPMC11349462

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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.