Evidence map›Paper›PMID 35137558›Full record

ArticleObesity (Silver Spring, Md.)2022

Gestational weight change and childhood body composition trajectories from pregnancy to early adolescence.

Elizabeth M Widen, Natalie Burns, Michael Daniels, Grant Backlund, Rachel Rickman, Saralyn Foster, Amy R Nichols, Lori A Hoepner, Eliza W Kinsey, Judyth Ramirez-Carvey and 4 more

Abstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

14 authors.

Elizabeth M WidenDepartment of Nutritional Sciences, School of Human Ecology, College of Natural Sciences, University of Texas at Austin, Austin, Texas, USA.ORCID 0000-0002-9574-6109
Natalie BurnsDepartment of Statistics, University of Florida, Gainesville, Florida, USA.
Michael DanielsDepartment of Statistics, University of Florida, Gainesville, Florida, USA.
Grant BacklundDepartment of Statistics, University of Florida, Gainesville, Florida, USA.
Rachel RickmanDepartment of Nutritional Sciences, School of Human Ecology, College of Natural Sciences, University of Texas at Austin, Austin, Texas, USA.
Saralyn FosterDepartment of Nutritional Sciences, School of Human Ecology, College of Natural Sciences, University of Texas at Austin, Austin, Texas, USA.
Amy R NicholsDepartment of Nutritional Sciences, School of Human Ecology, College of Natural Sciences, University of Texas at Austin, Austin, Texas, USA.
Lori A HoepnerColumbia Center for Children's Environmental Health, Mailman School of Public Health, Columbia University Medical Center, New York, New York, USA.
Eliza W KinseyColumbia Center for Children's Environmental Health, Mailman School of Public Health, Columbia University Medical Center, New York, New York, USA.ORCID 0000-0003-4972-431X
Judyth Ramirez-CarveyColumbia Center for Children's Environmental Health, Mailman School of Public Health, Columbia University Medical Center, New York, New York, USA.
Abeer HassounColumbia Center for Children's Environmental Health, Mailman School of Public Health, Columbia University Medical Center, New York, New York, USA.
Frederica P PereraColumbia Center for Children's Environmental Health, Mailman School of Public Health, Columbia University Medical Center, New York, New York, USA.
Radek BukowskiDepartment of Women's Health, Dell Medical School, University of Texas at Austin, Austin, Texas, USA.
Andrew G RundleColumbia Center for Children's Environmental Health, Mailman School of Public Health, Columbia University Medical Center, New York, New York, USA.ORCID 0000-0003-0211-7707

Funding

ZOLEDRONIC ACID IN PROSTATE CANCERM01RR000645 · NCRR · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI COLTEN, HARVEY R · 1985 to 2006
$27.0M
The Columbia Center for Children's Environmental HealthP01ES009600 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PERERA, FREDERICA P · 1999 to 2014
$11.2M
New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI Elizabeth T. Gershoff · 2017 to 2026
$5.2M
The Columbia Center for Children's Environmental HealthP50ES009600 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PETERSON, BRADLEY S · 2015 to 2018
$3.4M
Pregnancy weight trajectories and offspring adiposityR00HD086304 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI WIDEN, ELIZABETH MARIE · 2018 to 2020
$744k
Pregnancy weight trajectories and offspring adiposityK99HD086304 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI WIDEN, ELIZABETH MARIE · 2016 to 2017
$258k
EPA R836154EPA R836154C002NCRR NIH HHS M01 RR000645NICHD NIH HHS K99 HD086304NICHD NIH HHS P2C HD042849NICHD NIH HHS R00 HD086304NIDDK NIH HHS P30 DK111022NIEHS NIH HHS P01 ES009600NIEHS NIH HHS P50 ES009600
6 · The paper itself

Abstract

objectiveA mother-child dyad trajectory model of weight and body composition spanning from conception to adolescence was developed to understand how early life exposures shape childhood body composition.

methodsAfrican American (49.3%) and Dominican (50.7%) pregnant mothers (n = 337) were enrolled during pregnancy, and their children (47.5% female) were followed from ages 5 to 14. Gestational weight gain (GWG) was abstracted from medical records. Child weight, height, percentage body fat, and waist circumference were measured. GWG and child body composition trajectories were jointly modeled with a flexible latent class model with a class membership component that included prepregnancy BMI.

resultsFour prenatal and child body composition trajectory patterns were identified, and sex-specific patterns were observed for the joint GWG-postnatal body composition trajectories with more distinct patterns among girls but not boys. Girls of mothers with high GWG across gestation had the highest BMI z score, waist circumference, and percentage body fat trajectories from ages 5 to 14; however, boys in this high GWG group did not show similar growth patterns.

conclusionsJointly modeled prenatal weight and child body composition trajectories showed sex-specific patterns. Growth patterns from childhood though early adolescence appeared to be more profoundly affected by higher GWG patterns in females, suggesting sex differences in developmental programming.

Indexed as

Gestational Weight GainWeight GainAdolescentBody CompositionBody Mass IndexChildChild, PreschoolFemaleHumansMalePregnancyWaist Circumference

Identifiers

PMID35137558
PMCPMC8957403

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.