Evidence map›Paper›PMID 27867518›Full record

ArticleNetwork science (Cambridge University Press)2016

Analyzing heterogeneity in the effects of physical activity in children on social network structure and peer selection dynamics.

Teague Henry, Sabina B Gesell, Edward H Ip

Registry-linked trialAbstract read
In one paragraph

Article in Network science (Cambridge University Press), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01063413 (Impact Analysis of Metro Parks' After-School Programming on Physical Activity, Weight and Fitness Outcomes), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

NCT01063413 completednot on this map

Impact Analysis of Metro Parks' After-School Programming on Physical Activity, Weight and Fitness Outcomes

TypeobservationalSponsorWake Forest University Health SciencesRan2010 to 2010Enrolled97ConditionsObesity, Exercise
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
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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

3 authors.

Teague HenryUniversity of North Carolina at Chapel Hill, Wake Forest School of Medicine, Wake Forest School of Medicine.
Sabina B GesellUniversity of North Carolina at Chapel Hill, Wake Forest School of Medicine, Wake Forest School of Medicine.
Edward H IpUniversity of North Carolina at Chapel Hill, Wake Forest School of Medicine, Wake Forest School of Medicine.

Funding

VANDERBILT UNIVERSITY CTSA FOR PEDIATRIC RESEARCHUL1RR024975 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$45.7M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Dynamic Multichain Graphical Models for the Analysis of Childhood Obesity DataU01HL101066 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI IP, EDWARD HAKSING · 2009 to 2013
$1.7M
Building social networks to achieve healthy weight gain during pregnancyK23HD064700 · NICHD · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI GESELL, SABINA BERHAN · 2011 to 2015
$627k
NCATS NIH HHS UL1 TR000445NCRR NIH HHS UL1 RR024975NHLBI NIH HHS U01 HL101066NICHD NIH HHS K23 HD064700
6 · The paper itself

Abstract

backgroundSocial networks influence children and adolescents' physical activity. The focus of this paper is to examine the differences in the effects of physical activity on friendship selection, with eye to the implications on physical activity interventions for young children. Network interventions to increase physical activity are warranted but have not been conducted. Prior to implementing a network intervention in the field, it is important to understand potential heterogeneities in the effects that activity level have on network structure. In this study, the associations between activity level and cross sectional network structure, and activity level and change in network structure are assessed.

methodsWe studied a real-world friendship network among 81 children (average age 7.96 years) who lived in low SES neighborhoods, attended public schools, and attended one of two structured aftercare programs, of which one has existed and the other was new. We used the exponential random graph model (ERGMs) and its longitudinal extension to evaluate the association between activity level and various demographic factors in having, forming, and dissolving friendship. Due to heterogeneity between the friendship networks within the aftercare programs, separate analyses were conducted for each network.

resultsThere was heterogeneity in the effect of physical activity on both cross sectional network structure and the formation and dissolution processes, both across time and between networks.

conclusionsNetwork analysis could be used to assess the unique structure and dynamics of a social network before an intervention is implemented, so as to optimize the effects of the network intervention for increasing childhood physical activity. Additionally, if peer selection processes are changing within a network, a static network intervention strategy for childhood physical activity could become inefficient as the network evolves.

Indexed as

afterschool care programchildhood physical activitychildrenERGMestablished programnew networkphysical activitysocial networksocial supportSTERGM

Identifiers

PMID27867518
PMCPMC5114006

What OpenQuestion holds

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Registered trials

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.