Evidence map›Paper›PMID 33278474›Full record

ArticleEnvironmental research2021

Persistent organic pollutants and maternal glycemic outcomes in a diverse pregnancy cohort of overweight women.

Suril S Mehta, Tamarra James-Todd, Katie M Applebaum, Andrea Bellavia, Kimberly Coleman-Phox, Nancy Adler, Barbara Laraia, Elissa Epel, Emily Parry, Miaomiao Wang and 2 more

Open access · greenAbstract read
In one paragraph

Article in Environmental research, 2021. 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
2.9field-weighted citation impact, top 9% 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

5 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
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  5. A pathway level analysis of PFAS exposure and risk of gestational diabetes mellitus.Environmental health : a global access science source · 2021
    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

12 authors at 5 institutions in 1 country.

Suril S MehtaDepartment of Environmental and Occupational Health, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA. Electronic address: surilsm@gwu.edu.
Tamarra James-ToddDepartment of Environmental Health, T.H. Chan School of Public Health, Harvard University, Boston, MA, USA; Department of Epidemiology, T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
Katie M ApplebaumDepartment of Environmental and Occupational Health, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.
Andrea BellaviaDepartment of Environmental Health, T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
Kimberly Coleman-PhoxCenter for Health and Community, School of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Nancy AdlerDepartment of Psychiatry, School of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Barbara LaraiaDivision of Community Health and Human Development, School of Public Health, University of California, Berkeley, Berkeley, CA, USA.
Elissa EpelDepartment of Psychiatry, School of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Emily ParryEnvironmental Chemistry Laboratory, California Department of Toxic Substances Control, Berkeley, CA, USA.
Miaomiao WangEnvironmental Chemistry Laboratory, California Department of Toxic Substances Control, Berkeley, CA, USA.
June-Soo ParkEnvironmental Chemistry Laboratory, California Department of Toxic Substances Control, Berkeley, CA, USA.
Ami R ZotaDepartment of Environmental and Occupational Health, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.
California Department of Toxic Substances Control · USMilken Institute · USUniversity of California, San Francisco · USHarvard University · USBerkeley Public Health Division · US

Funding

ZIDOVUDINE &LAMIVUDINE &NEVIRAPINE COMBINATION THERAPY IN HIV 1 INFM01RR001271 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KESSLER, DAVID A · 1985 to 2006
$22.7M
UCSF Nutrition Obesity Research CenterP30DK098722 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHRISTIAN VAISSE · 2015 to 2026
$14.6M
Novel interventions to reduce stress induced non-homeostatic eatingU01HL097973 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ADLER, NANCY E, EPEL, ELISSA S. · 2009 to 2014
$5.7M
Phthalates, Gestational Diabetes, and Markers of Type 2 Diabetes Risk in WomenR01ES026166 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI JAMES-TODD, TAMARRA M · 2016 to 2021
$2.9M
Role of endocrine-disrupting chemicals and social stress on perinatal outcomesR00ES019881 · NIEHS · GEORGE WASHINGTON UNIVERSITY · PI ZOTA, AMI R · 2013 to 2015
$747k
NCRR NIH HHS M01 RR001271NHLBI NIH HHS U01 HL097973NIDDK NIH HHS P30 DK098722NIEHS NIH HHS R00 ES019881NIEHS NIH HHS R01 ES026166
6 · The paper itself

Abstract

backgroundAnimal and human studies suggest certain persistent organic pollutants (POPs) may impact glucose metabolism; however, few epidemiologic studies have examined environmental determinants of glycemic outcomes during pregnancy. Our objective is to evaluate associations between exposures to individual and mixture of POPs and measures of prenatal fasting glucose, insulin, and insulin resistance during pregnancy in overweight women.

methodsA cohort of overweight and obese pregnant women (N = 95) was recruited from California. Blood samples were collected during late first or second trimester (median = 16 weeks' gestation; range = 10-24 weeks). Exposures included serum concentrations of polybrominated diphenyl ethers (PBDEs) and hydroxylated metabolites (OH-PBDEs), polychlorinated biphenyls (PCBs), and poly- and perfluoroalkyl substances (PFASs). Outcomes included serum concentrations of fasting plasma glucose, fasting plasma insulin, and calculated homeostatic model assessment of insulin resistance (HOMA-IR). Generalized linear models were used to evaluate cross-sectional associations between individual and aggregate POPs and mean percent difference in fasting glucose, fasting insulin, and HOMA-IR. Bayesian kernel machine regression (BKMR) was used to assess the relative importance of each exposure to the association with our outcomes, using conditional and group posterior inclusion probabilities (PIPs).

resultsStudy participants were racially/ethnically diverse and nearly half were below the federal poverty level. Across PBDEs and OH-PBDEs, the direction of associations with fasting glucose, fasting insulin and HOMA-IR were varied. A doubling of PCB-138, PCB-153, PCB-180, and ∑PCBs concentrations was associated with a 2.10% mmol/L (95%CI: 0.49%, 3.74%), 2.10% mmol/L (95%CI: -0.14%, 4.39%), 2.10% mmol/L (95%CI: 0.12%, 4.12%), and 2.81% mmol/L (95%CI: 0.38%, 5.31%) increase in fasting glucose, respectively. Exposure to individual PCBs was positively associated with both fasting insulin and HOMA-IR. All PFAS were inversely associated with fasting glucose, fasting insulin, and HOMA-IR. In BKMR models of fasting glucose, all four chemical classes were important contributors to the overall mixture, with PFASs identified as the most important contributor. DISCUSSION: Prenatal PCB exposure was positively associated while certain PBDE and PFAS analytes were inversely associated with fasting glucose concentrations in overweight women. Further examination of the relationship between POPs exposure and glycemic functioning in a larger study population of women during pregnancy is warranted.

Indexed as

Environmental PollutantsPersistent Organic PollutantsAnimalsBayes TheoremBlood GlucoseCross-Sectional StudiesFemaleHumansMaternal ExposurePregnancyBlood GlucoseEnvironmental PollutantsPersistent Organic Pollutants

Identifiers

PMID33278474
PMCPMC7855882
OpenAlexW3108150939

What OpenQuestion 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 OpenQuestion graph.