Evidence map›Paper›PMID 33460632›Full record

ArticleEnvironmental research2021

Prenatal exposure to phthalates and maternal metabolic outcomes in a high-risk pregnant Latina population.

Helen Zukin, Brenda Eskenazi, Nina Holland, Kim G Harley

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 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
3.5field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 39 citations in OpenAlex.

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  11. Predictors of Phthalate Metabolites Exposure among Healthy Pregnant Women in the United States, 2010-2015.International journal of environmental research and public health · 2023
    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

4 authors at 1 institution in 1 country.

Helen ZukinCenter for Environmental Research and Children's Health (CERCH), School of Public Health, University of California, Berkeley, CA, USA.
Brenda EskenaziCenter for Environmental Research and Children's Health (CERCH), School of Public Health, University of California, Berkeley, CA, USA.
Nina HollandCenter for Environmental Research and Children's Health (CERCH), School of Public Health, University of California, Berkeley, CA, USA.
Kim G HarleyCenter for Environmental Research and Children's Health (CERCH), School of Public Health, University of California, Berkeley, CA, USA. Electronic address: kharley@berkeley.edu.
Center for Environmental Health · US

Funding

Project C: Epigenetic Effects of DDT/E and PBDEs on PubertyP01ES009605 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI ESKENAZI, BRENDA · 1999 to 2015
$11.2M
Molecular Mechanisms of Obesity in Children Exposed to Phthalates in UteroR01ES021369 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI HOLLAND, NINA T · 2013 to 2017
$3.1M
Maintaining and Expanding the CHAMACOS Epidemiology Cohort Infrastructure for Future GenerationsR24ES028529 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Robert Gunier · 2017 to 2026
$2.0M
NIEHS NIH HHS P01 ES009605NIEHS NIH HHS R01 ES021369NIEHS NIH HHS R24 ES028529
6 · The paper itself

Abstract

backgroundPhthalates are a group of endocrine disrupting chemicals that are heavily used throughout industry in flexible plastic and personal-care products. As a result, detectable levels of their metabolites are readily found in humans. Some studies have shown associations of phthalates with diabetes, but associations with gestational diabetes mellitus (GDM) are less clear.

objectiveTo investigate the association of 11 prenatal urinary phthalate metabolites and development of GDM, impaired glucose tolerance (IGT), continuous plasma glucose level, and excessive gestational weight gain (GWG) in a population of pregnant Latina women (N = 415) enrolled in the Center for the Health Assessment of Mothers and Children of Salinas (CHAMACOS) cohort study.

methodsPhthalate metabolite levels were measured via mass spectrometry from two urine samples collected in the end of the first and second trimester. Maternal plasma glucose levels, prior diabetes diagnosis, GDM diagnosis, and weight gain were abstracted from medical records. Multiple regression was used to evaluate the association between the average of the two urinary phthalate metabolites levels and maternal metabolic outcomes. In our sensitivity analysis, phthalate levels were categorized by level (as quartiles of exposure) and by timing of urine sample collection (as taken in first and second half of pregnancy).

resultsConsistent with findings from a nationally representative sample, all of the individual phthalate metabolites were detected in majority of mothers. Thirty-one mothers (7.5%) were diagnosed with GDM, 49 mothers (14.7%) displayed IGT, and 223 mothers (55.1%) gained an excessive amount of weight during their pregnancy. MEP concentrations were associated with an increased odds of excessive GWG (OR: 1.1, 95% CI: 1.0 to 1.3). We did not find an association between any phthalate metabolite and any maternal glucose outcome.

conclusionContrary to previous studies, our findings do not support an association of prenatal phthalate levels and increased odds for hyperglycemia, IGT, or GDM. But, we did find an increased odds of excessive GWG, a well-known risk factor for GDM.

Indexed as

Phthalic AcidsPrenatal Exposure Delayed EffectsChildCohort StudiesFemaleHispanic or LatinoHumansMaternal ExposurePregnancyRisk Factorsphthalic acidPhthalic AcidsEndocrine disruptorsGestational diabetesGestational weight gainImpaired glucose tolerancePhthalatesPregnancy

Identifiers

PMID33460632
PMCPMC7946766
OpenAlexW3119807825

What OpenQuestion holds

Textmetadata
LicenceTDM
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.