Evidence map›Paper›PMID 31102947›Full record

ArticleEnvironmental research2019

Heterogeneity in childhood body mass trajectories in relation to prenatal phthalate exposure.

Brianna C Heggeseth, Nina Holland, Brenda Eskenazi, Katherine Kogut, Kim G Harley

Abstract read
In one paragraph

Article in Environmental research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Brianna C HeggesethDepartment of Mathematics and Statistics, Williams College, Williamstown, MA, 01267, USA; Department of Mathematics, Statistics, and Computer Science, Macalester College, Saint Paul, MN, 55105, USA. Electronic address: bheggese@macalester.edu.
Nina HollandEnvironmental Health Sciences Division, School of Public Health, University of California, Berkeley, Berkeley, CA, 94720, USA; Center for Environmental Research and Children's Health, School of Public Health, University of California, Berkeley, Berkeley, CA, 94720, USA.
Brenda EskenaziCenter for Environmental Research and Children's Health, School of Public Health, University of California, Berkeley, Berkeley, CA, 94720, USA.
Katherine KogutCenter for Environmental Research and Children's Health, School of Public Health, University of California, Berkeley, Berkeley, CA, 94720, USA.
Kim G HarleyCenter for Environmental Research and Children's Health, School of Public Health, University of California, Berkeley, Berkeley, CA, 94720, USA.

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
DDT & PBDE exposure, puberty onset and neurodevelopment in Mexican-American girlsR01ES017054 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI ESKENAZI, BRENDA · 2009 to 2013
$3.2M
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
PBDEs, DDT and Neurodevelopment in School-Aged Mexican-American ChildrenR01ES015572 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI ESKENAZI, BRENDA · 2007 to 2010
$2.0M
Maintaining and Expanding the CHAMACOS Epidemiology Cohort Infrastructure for Future GenerationsR24ES028529 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Robert Gunier · 2017 to 2026
$2.0M
Bisphenol A and Children's Growth & DevelopmentRC2ES018792 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI ESKENAZI, BRENDA, HARLEY, KIM G. · 2009 to 2010
$1.6M
NIEHS NIH HHS P01 ES009605NIEHS NIH HHS R01 ES015572NIEHS NIH HHS R01 ES017054NIEHS NIH HHS R01 ES021369NIEHS NIH HHS R24 ES028529NIEHS NIH HHS RC2 ES018792
6 · The paper itself

Abstract

Phthalates, compounds commonly used in plastics and personal care products, have been associated with childhood obesity in cross-sectional and some longitudinal studies. Using advanced statistical methods, we characterized the heterogeneity in body mass development patterns over childhood (ages 2-14 years) and explored associations with maternal prenatal urinary concentrations of phthalates among 335 children in the Center for the Health Assessment of Mothers and Children of Salinas (CHAMACOS) cohort study. Height and weight were measured every one to two years in this cohort, which had a high prevalence of obesity and overweight. Building upon a previous analysis that showed a positive association between prenatal phthalate exposure and body mass index (BMI) in CHAMACOS children, we used three advanced statistical methods: generalized additive models, growth mixture models, and functional principal component analysis with tree-based methods to identify patterns of childhood BMI development and allow for non-linear relationships with the environmental exposures. Our results highlight the heterogeneity in childhood BMI development patterns and suggest a sex-specific non-linear association between prenatal monoethyl phthalate urinary concentrations and BMI level in children, confirmed across a variety of statistical methods. There is also evidence to suggest positive associations between DEHP metabolites and BMI stabilization during puberty for girls.

Indexed as

Body Mass IndexEnvironmental PollutantsPhthalic AcidsPrenatal Exposure Delayed EffectsAdolescentChildChild, PreschoolCohort StudiesCross-Sectional StudiesEnvironmental ExposureFemaleHumansMalePregnancySexual MaturationEnvironmental PollutantsPhthalic AcidsBody mass indexDevelopmentPhthalatePrenatalTrajectory

Identifiers

PMID31102947
PMCPMC6613931

What OpenQuestion holds

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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.