Evidence map›Paper›PMID 38696977›Full record

ArticleEnvironment international2024

Urinary concentrations of phthalate metabolites in relation to preeclampsia and other hypertensive disorders of pregnancy in the environmental influences on child health outcomes (ECHO) program.

John D Meeker, Kristen L McArthur, Jennifer J Adibi, Akram N Alshawabkeh, Emily S Barrett, Sara G Brubaker, Jose F Cordero, Dana Dabelea, Anne L Dunlop, Julie B Herbstman and 8 more

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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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

18 authors.

John D MeekerDepartment of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA. Electronic address: meekerj@umich.edu.
Kristen L McArthurDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA. Electronic address: kmcarth5@jhmi.edu.
Jennifer J AdibiDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address: adibij@pitt.edu.
Akram N AlshawabkehNortheastern University, Boston, MA, USA. Electronic address: a.alshawabkeh@northeastern.edu.
Emily S BarrettDepartment of Biostatistics and Epidemiology, Rutgers University School of Public Health, Environmental and Occupational Health Institute, Piscataway, NJ, USA. Electronic address: esb104@eohsi.rutgers.edu.
Sara G BrubakerDivision of Maternal-Fetal Medicine, New York University Grossman School of Medicine, New York, NY, USA. Electronic address: sara.brubaker@nyulangone.org.
Jose F CorderoDepartment of Epidemiology and Biostatistics, University of Georgia College of Public Health, Athens, GA, USA. Electronic address: jcordero@uga.edu.
Dana DabeleaDepartment of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA. Electronic address: dana.dabelea@cuanschutz.edu.
Anne L DunlopDepartment of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, USA. Electronic address: amlang@emory.edu.
Julie B HerbstmanDepartment of Environmental Health Sciences, Columbia University, New York, NY, USA. Electronic address: jh2678@cumc.columbia.edu.
Linda G KahnDivision of Environmental Pediatrics, New York University Grossman School of Medicine, New York, NY, USA. Electronic address: Linda.Kahn@nyulangone.org.
Catherine J KarrDepartment of Environmental and Occupational Health Sciences, University of Washington School of Public Health, Seattle, WA, USA. Electronic address: ckarr@uw.edu.
Shilpi Mehta-LeeDivision of Maternal-Fetal Medicine, New York University Grossman School of Medicine, New York, NY, USA. Electronic address: Shilpi.Mehta-Lee@nyulangone.org.
Thomas G O'ConnorDepartments of Psychiatry, Neuroscience and Obstetrics and Gynecology, University of Rochester, Rochester, NY, USA. Electronic address: tom_oconnor@urmc.rochester.edu.
Sheela SathyanarayanaDepartment of Pediatrics, Department of Environmental and Occupational Health Sciences, Department of Epidemiology University of Washington and Seattle Children's Research Institute, Seattle, WA, USA. Electronic address: Sheela.sathyanarayana@seattlechildrens.org.
Leonardo TrasandeDepartment of Pediatrics, New York University, New York, NY, USA. Electronic address: Leonardo.Trasande@nyulangone.org.
Jordan R KuiperDepartment of Environmental and Occupational Health, The George Washington University, Washington, D.C., USA. Electronic address: jordan.kuiper@gwu.edu.
Program Collaborators For Environmental Influences On Child Health OutcomesSee Acknowledgments for full listing of collaborators.

Funding

Project-005U2COD023375 · OD · DUKE UNIVERSITY · PI JUNFENG ZHANG · 2016 to 2026
$215.9M
ECHODAC (Environmental Influences on Child Health Outcomes Data Analysis Center)U24OD023382 · OD · JOHNS HOPKINS UNIVERSITY · PI Diane J Catellier, LISA P JACOBSON · 2016 to 2026
$148.4M
Wisconsin Infant Study Cohort (WISC) ECHO Pediatric Follow-UpUH3OD023282 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI James E. Gern · 2018 to 2026
$64.8M
The NYU Children’s Health & Environment Study: an ECHO CohortUH3OD023305 · OD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Akhgar Ghassabian, Leonardo Trasande · 2018 to 2026
$59.5M
Translational Research Support CoreP30ES005022 · NIEHS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI BRIAN T BUCKLEY · 1988 to 2026
$47.4M
The ECHO Measurement Core: A Framework and Resource for Assessing Environmental Exposure and Child HealthU24OD023319 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Courtney K Blackwell, RICHARD GERSHON · 2016 to 2026
$43.7M
Research Experiences and Training Coordination CoreP42ES017198 · NIEHS · NORTHEASTERN UNIVERSITY · PI HARRIS, SEAN M · 2010 to 2024
$38.6M
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
Environmental Influences on Child Health Outcomes in Puerto Rico (ECHO-PRO)UH3OD023251 · OD · NORTHEASTERN UNIVERSITY · PI Akram N Alshawabkeh · 2018 to 2026
$24.0M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
Not whether but how: The ethics of reporting individual results in a pregnancy cohort.UH3OD023290 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Julie Beth Herbstman, AMY MARGOLIS · 2018 to 2026
$18.8M
Pre- and Postnatal Exposure Periods for Child Health: Common Risks and Shared MechanismsUH3OD023349 · OD · UNIVERSITY OF ROCHESTER · PI Emily S Barrett, Richard Kermit Miller · 2018 to 2026
$15.9M
NICHD NIH HHS R01 HD083369NIEHS NIH HHS P30 ES005022NIEHS NIH HHS P30 ES017885NIEHS NIH HHS P42 ES017198NIEHS NIH HHS R01 ES029336NIEHS NIH HHS R01 ES032203NIH HHS U24 OD023319NIH HHS U24 OD023382NIH HHS U2C OD023375NIH HHS UG3 OD035528NIH HHS UH3 OD023248NIH HHS UH3 OD023251NIH HHS UH3 OD023271NIH HHS UH3 OD023282NIH HHS UH3 OD023290NIH HHS UH3 OD023305NIH HHS UH3 OD023318NIH HHS UH3 OD023349
6 · The paper itself

Abstract

backgroundPhthalate exposure may contribute to hypertensive disorders of pregnancy (HDP), including preeclampsia/eclampsia (PE/E), but epidemiologic studies are lacking.

objectivesTo evaluate associations of pregnancy phthalate exposure with development of PE/E and HDP.

methodsUsing data from 3,430 participants in eight Environmental influences on Child Health Outcomes (ECHO) Program cohorts (enrolled from 1999 to 2019), we quantified concentrations of 13 phthalate metabolites (8 measured in all cohorts, 13 in a subset of four cohorts) in urine samples collected at least once during pregnancy. We operationalized outcomes as PE/E and composite HDP (PE/E and/or gestational hypertension). After correcting phthalate metabolite concentrations for urinary dilution, we evaluated covariate-adjusted associations of individual phthalates with odds of PE/E or composite HDP via generalized estimating equations, and the phthalate mixture via quantile-based g-computation. We also explored effect measure modification by fetal sex using stratified models. Effect estimates are reported as odds ratios (OR) with 95% confidence intervals (95% CIs).

resultsIn adjusted analyses, a doubling of mono-benzyl phthalate (MBzP) and of mono (3-carboxypropyl) phthalate (MCPP) concentrations was associated with higher odds of PE/E as well as composite HDP, with somewhat larger associations for PE/E. For example, a doubling of MCPP was associated with 1.12 times the odds of PE/E (95%CI 1.00, 1.24) and 1.02 times the odds of composite HDP (95%CI 1.00, 1.05). A quartile increase in the phthalate mixture was associated with 1.27 times the odds of PE/E (95%CI 0.94, 1.70). A doubling of mono-carboxy isononyl phthalate (MCiNP) and of mono-carboxy isooctyl phthalate (MCiOP) concentrations were associated with 1.08 (95%CI 1.00, 1.17) and 1.11 (95%CI 1.03, 1.19) times the odds of PE/E. Effect estimates for PE/E were generally larger among pregnancies carrying female fetuses. DISCUSSION: In this study, multiple phthalates were associated with higher odds of PE/E and HDP. Estimates were precise and some were low in magnitude. Interventions to reduce phthalate exposures during pregnancy may help mitigate risk of these conditions.

Indexed as

Environmental PollutantsPhthalic AcidsPre-EclampsiaAdultChildChild HealthCohort StudiesEnvironmental ExposureFemaleHumansHypertension, Pregnancy-InducedMaleMaternal ExposurePregnancyYoung AdultEnvironmental Pollutantsphthalic acidPhthalic Acids

Identifiers

PMID38696977
PMCPMC11829711

What Socratic holds

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Registered trials

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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 Socratic graph.