Evidence map›Paper›PMID 37474091›Full record

ArticleEnvironmental research2023

Cross-sectional associations between phthalates, phenols, and parabens with metabolic syndrome risk during early-to-mid adolescence among a cohort of Mexican youth.

Astrid N Zamora, Erica C Jansen, Jaclyn M Goodrich, Martha M Téllez-Rojo, Peter X K Song, John D Meeker, Dana C Dolinoy, Libni A Torres-Olascoaga, Alejandra Cantoral, Karen E Peterson

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. 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

10 authors at 3 institutions in 2 countries.

Astrid N ZamoraDepartment of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA; Stanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Erica C JansenDepartment of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Jaclyn M GoodrichDepartment of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Martha M Téllez-RojoCenter for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca, Mexico.
Peter X K SongDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA.
John D MeekerDepartment of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Dana C DolinoyDepartment of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA; Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Libni A Torres-OlascoagaCenter for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca, Mexico.
Alejandra CantoralHealth Department, Ibero-American University, Mexico City, Mexico.
Karen E PetersonDepartment of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA; Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA. Electronic address: karenep@umich.edu.
University of Michigan · USInstituto Nacional de Salud Pública · MXIbero American University · MX

Funding

Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 2013 to 2026
$24.3M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
Pilot and Feasibility (P and F) ProgramP30DK089503 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Kanakadurga Singer · 2010 to 2026
$20.3M
Environmental Epigenomics and Precision Environmental HealthR35ES031686 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2020 to 2026
$6.1M
Project 3: Developmental Exposures and Diet: Epigenetics of Metabolic SyndromeP01ES022844 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HEAD, REBECCA, PADMANABHAN, VASANTHA · 2013 to 2018
$3.9M
Cardiovascular and Chronic Disease Prevention Training ProgramT32HL161270 · NHLBI · STANFORD UNIVERSITY · PI CHRISTOPHER D GARDNER · 2022 to 2026
$2.6M
E3Gen: Multigenerational Influences of Social Structure on Toxicant Exposures and Life Course Health in the ELEMENT CohortR24ES028502 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Karen Eileen Peterson, Peter Xuekun Song · 2017 to 2026
$2.2M
Sleep and Circadian Rhythms in Adolescence: Epigenetic Pathways of Cardiometabolic RiskK01HL151673 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JANSEN, ERICA CHRISTINE · 2020 to 2024
$759k
NHLBI NIH HHS K01 HL151673NHLBI NIH HHS T32 HL161270NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK089503NIEHS NIH HHS P01 ES022844NIEHS NIH HHS P30 ES017885NIEHS NIH HHS R24 ES028502NIEHS NIH HHS R35 ES031686
6 · The paper itself

Abstract

backgroundEpidemiological studies on children and adults have linked toxicants from plastics and personal care products to metabolic disruption. Yet, the impact of endocrine-disrupting chemicals (EDCs) on adolescent metabolic syndrome (MetS) risk during early and mid-adolescence is unclear.

methodsTo examine the links between exposure to EDCs and MetS risk and its components, cross-sectional data from 344 Mexican youth in early-to-mid adolescence (10-17 years) were analyzed. Urinary biomarker concentrations of phthalates, phenol, and paraben analytes were measured from a single spot urine sample collected in 2015; study personnel obtained anthropometric and metabolic measures. We examined associations between summary phthalates and metabolites, phenol, and paraben analytes with MetS risk z-scores using linear regression, adjusted for specific gravity, sex, age, pubertal status, smoking, alcohol intake, physical activity level, and screen time. As a secondary aim, mediation analysis was conducted to evaluate the role of hormones in the association between summary phthalates with lipids and MetS risk z-scores.

resultsThe mean (SD) age was 13.2 (1.9) years, and 50.9% were female. Sex-stratified analyses revealed associations between summary phthalates and lipids ratio z-scores, including Σ DEHP [β = 0.21 (95% CI: 0.04, 0.37; p < 0.01)], phthalates from plastic sources (Σ Plastic) [β = 0.22 (95% CI: 0.05, 0.39; p < 0.01)], anti-androgenic phthalates (Σ AA) [β = 0.22 (95% CI: 0.05, 0.39; p < 0.01)], and individual phthalate metabolites (MEHHP, MEOHP, and MECPP) among males. Among females, BPA [β = 0.24 (95% CI: 0.03, 0.44; p < 0.05)] was positively associated with lipids ratio z-score and one phenol (2,5 DCP) [β = 0.09 (95% CI: 0.01, 0.18); p < 0.05)] was associated with increased waist circumference z-score. Results showed no evidence of mediation by hormone concentrations in the association between summary phthalates with lipids ratio or MetS risk z-scores.

conclusionHigher EDC exposure was positively associated with serum lipids during adolescence, particularly among males.

Indexed as

Endocrine DisruptorsEnvironmental PollutantsMetabolic SyndromePhthalic AcidsAdolescentAdultChildCross-Sectional StudiesEnvironmental ExposureFemaleHumansLipidsMaleParabensPhenolPhenolsEndocrine DisruptorsEnvironmental PollutantsLipidsParabensPhenolPhenolsphthalic acidPhthalic AcidsAdolescenceBirth cohortEndocrine-disrupting chemicalsLipidsMetabolic syndromeSex-differences

Identifiers

PMID37474091
PMCPMC10592077
OpenAlexW4384830952

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.