Evidence map›Paper›PMID 31944621›Full record

ArticleObesity (Silver Spring, Md.)2020

Physical Activity and Adiposity in a Racially Diverse Cohort of US Infants.

Sara E Benjamin-Neelon, Jiawei Bai, Truls Østbye, Brian Neelon, Russell R Pate, Ciprian Crainiceanu

Open access · hybridAbstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 19 citations in OpenAlex.

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  11. Fetal programming of human energy homeostasis brain networks: Issues and considerations.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2022
    Review
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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

6 authors at 4 institutions in 1 country.

Sara E Benjamin-NeelonDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0003-4643-2397
Jiawei BaiDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Truls ØstbyeDepartment of Community and Family Medicine, Duke University Medical Center, Durham, North Carolina, USA.
Brian NeelonDivision of Biostatistics, Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, USA.
Russell R PateDepartment of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA.
Ciprian CrainiceanuDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Johns Hopkins University · USDuke Medical Center · USMedical University of South Carolina · USUniversity of South Carolina · US

Funding

Statistical Methods for Multilevel Multivariate Functional StudiesR01NS060910 · NINDS · JOHNS HOPKINS UNIVERSITY · PI Ciprian M Crainiceanu · 2009 to 2026
$8.3M
Statistical methods for analyzing objectively measured physical activity dataR01HL130483 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Chongzhi Di · 2016 to 2026
$4.4M
Early child care and risk of obesityR01DK094841 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI BENJAMIN-NEELON, SARA ELIZABETH · 2012 to 2016
$2.9M
NHLBI NIH HHS R01 HL130483NIDDK NIH HHS R01 DK094841NIDDK NIH HHS R01DK094841NIH HHS R01DK094841NINDS NIH HHS R01 NS060910
6 · The paper itself

Abstract

objectiveEarly life physical activity may help prevent obesity, but objective quantification in infants is challenging.

methodsA total of 506 infants were examined from 2013 to 2016. Infants wore accelerometers for 4 days at ages 3, 6, 9, and 12 months. Daily log-transformed physical activity counts were computed, averaged, and standardized across assessments. A linear mixed model was used to examine trends in standardized physical activity counts as well as associations between physical activity and BMI z score, sum of subscapular and triceps skinfold thickness for overall adiposity (SS+TR), and their ratio for central adiposity (SS:TR).

resultsAmong infants, 66% were black and 50% were female. For each additional visit, standardized physical activity counts increased by 0.23 (CI: 0.18 to 0.27; P < 0.0001). This translates to 126.3 unadjusted physical activity counts or a 4% increase for each visit beyond 3 months. In addition, a 1-SD increase in standardized physical activity counts (550 unadjusted physical activity counts) was associated with a 0.01-mm lower SS:TR (95% CI: -0.02 to -0.001; P = 0.03). However, standardized physical activity counts were not associated with BMI z score or SS+TR.

conclusionsPhysical activity increased over infancy and was associated with central adiposity. Despite limitations, researchers should consider objective measurement in infants.

Indexed as

AdiposityAdultCohort StudiesExerciseFemaleHumansInfantInfant, NewbornMaleObesity

Identifiers

PMID31944621
PMCPMC7042075
OpenAlexW2999908553

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.