Evidence map›Paper›PMID 36913354›Full record

ArticlePloS one2023

Body mass index and obesity-related behaviors in African American church-based networks: A social network analysis.

Soohyun Nam, Sunyoung Jung, David Vlahov, Carl Latkin, Trace Kershaw, Robin Whittemore

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Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Soohyun NamSchool of Nursing, Yale University, Orange, Connecticut, United States of America.ORCID 0000-0002-8951-5419
Sunyoung JungCollege of Nursing, Pusan National University, Pusan, Republic of Korea.
David VlahovSchool of Nursing, Yale University, Orange, Connecticut, United States of America.
Carl LatkinSchool of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America.
Trace KershawSchool of Public Health, Yale University, New Haven, Connecticut, United States of America.
Robin WhittemoreSchool of Nursing, Yale University, Orange, Connecticut, United States of America.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
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
Understanding Social Networks and Obesity-risk Behaviors Among Black WomenK23NR014661 · NINR · YALE UNIVERSITY · PI NAM, SOOHYUN · 2014 to 2016
$391k
NCATS NIH HHS UL1 TR001863NIDDK NIH HHS P30 DK111022NINR NIH HHS K23 NR014661
6 · The paper itself

Abstract

A growing body of research suggests that obesity can be understood as a complex and biobehavioral condition influenced by social relationships ─social networks. Social network analysis allows us to examine how an individual's network characteristics (e.g., popularity) are associated with obesity and obesity-related behaviors. The objectives of the study were to (a) examine whether network members in African American churches are similar in body mass index (BMI) and obesity-related behaviors (physical activity, eating, alcohol consumption) and (b) examine whether an individual's network characteristics, such as popularity (i.e., receiving nominations from peers) and expansiveness (i.e., sending nominations to peers) are associated with BMI and obesity-related behaviors. We used a cross-sectional study design and conducted social network analysis using Exponential random graph models with three African American church-based social networks (network A, B, and C, n = 281). There were no significant network members' similarities on BMI in the three church-based networks. One out of three networks showed similarities in fruit and vegetable consumption (network B), fast food consumption (network C), physical activity, sedentary behaviors, and alcohol consumption (network A). African Americans with a high BMI were more popular, as were individuals with greater fat intake and alcohol consumption. Our findings support the perspective that we need to improve obesity-related behaviors by targeting influential individuals and existing ties and to develop obesity interventions using social networks. The degree to which our findings varied across churches also suggests that the relationship among an individual's obesity-related behaviors and network characteristics should be understood in the unique social context.

Indexed as

Black or African AmericanBody Mass IndexObesitySocial Network AnalysisCross-Sectional StudiesHumansReligion

Identifiers

PMID36913354
PMCPMC10010537

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LicenceCC BY
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identifiers read7
Read underepoch 390

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.