Evidence map›Paper›PMID 36543176›Full record

ArticlePediatric exercise science2023

Associations Among Physical Activity, Adiposity, and Insulin Resistance in Children Exposed In Utero to Maternal Obesity With and Without Gestational Diabetes.

Bethany A Moore, Makenzie L Callahan, Samantha L Martin, Alysha Everett, W Timothy Garvey, Paula Chandler-Laney

Open access · greenAbstract read
In one paragraph

Article in Pediatric exercise science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. The Double-Edged Sword of Gestational Insulin Resistance: Navigating Maternal Adaptation and Its Risks for Pregnancy and Offspring Health.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Review
  2. 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

6 authors at 1 institution in 1 country.

Bethany A MooreDepartment of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL,USA.ORCID 0000-0002-7655-3803
Makenzie L CallahanDepartment of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL,USA.
Samantha L MartinDepartment of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL,USA.ORCID 0000-0001-6416-431X
Alysha EverettDepartment of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL,USA.ORCID 0000-0002-5608-3402
W Timothy GarveyDepartment of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL,USA.ORCID 0000-0003-0822-0860
Paula Chandler-LaneyDepartment of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL,USA.ORCID 0000-0001-5253-8644
University of Alabama at Birmingham · US

Funding

Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARBARA A GOWER · 2000 to 2026
$31.9M
University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARBARA A GOWER · 2013 to 2026
$19.5M
MECHANISMS OF HYPERTENSION AND CARDIOVASCULAR DISEASEST32HL007457 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Martin E Young · 1985 to 2026
$8.6M
UAB Diabetes Research and Training CenterP60DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GARVEY, W TIMOTHY · 2008 to 2012
$8.4M
UAB Pre-Doctoral Training Program in Obesity-Related ResearchT32HL105349 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARBARA A GOWER · 2010 to 2026
$5.7M
NHLBI NIH HHS T32 HL007457NHLBI NIH HHS T32 HL105349NIDDK NIH HHS P30 DK056336NIDDK NIH HHS P30 DK079626NIDDK NIH HHS P60 DK079626
6 · The paper itself

Abstract

purposeInvestigate whether obesity risk and current weight status are independently associated with physical activity (PA) and whether PA is associated with adiposity and insulin resistance (homeostatic model assessment of insulin resistance) among children with high versus low obesity risk based on in utero exposure to maternal overweight/obesity with gestational diabetes mellitus (GDM; high risk) or without GDM (overweight/obesity; high risk) or maternal normal weight without GDM (low risk).

methodSecondary analysis of data from children born to women with overweight/obesity and GDM, overweight/obesity without GDM, or normal weight without GDM. PA was assessed with accelerometry, percentage of body fat derived from anthropometrics, and homeostatic model assessment of insulin resistance calculated from glucose and insulin.

resultsAmong 4- to 10-year-old children (N = 163), analyses of covariance showed that children with a current BMI ≥85th percentile had less vigorous PA than those with BMI <85th percentile, but in utero exposure was not an independent predictor of PA. In linear regression modeling, moderate to vigorous PA was inversely associated with percentage of body fat and homeostatic model assessment of insulin resistance independent of age, Tanner stage, and accelerometer wear time, with stronger associations in high-risk groups.

conclusionsChildren's PA is related to current weight status but not underlying risk for obesity but may be especially important to reduce obesity and insulin resistance in high-risk children.

Indexed as

Diabetes, GestationalInsulin ResistancePregnancy in ObesityAdiposityBody Mass IndexChildChild, PreschoolExerciseFemaleHumansObesityOverweightPregnancydevelopmental origins of health and diseaseexerciseHOMAobesity riskpediatric

Identifiers

PMID36543176
PMCPMC10874230
OpenAlexW4313178289

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.