ArticleJournal of obesity2013
Using social network analysis to identify key child care center staff for obesity prevention interventions: a pilot study.
Article in Journal of obesity, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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.
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Who cites it
10 citing papers in PubMed, 26 citations in OpenAlex.
- Networks for prevention in 19 communities at the start of a large-scale community-based obesity prevention initiative.Translational behavioral medicine · 2018Trial
- A scoping review of complex systems methods used in population physical activity research: do they align with attributes of a whole system approach?Health research policy and systems · 2023Article
- A scoping review of systems approaches for increasing physical activity in populations.Health research policy and systems · 2022Article
- Evolution of a Coalition Network during a Whole-of-Community Intervention to Prevent Early Childhood Obesity.Childhood obesity (Print) · 2021Article
- A social network analysis of interactions about physical activity and nutrition among APPLE schools staff.SSM - population health · 2021Article
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- Innovation diffusion: how homogenous networks influence the uptake of community-based injectable contraceptives.BMC public health · 2019Article
- From Complex Interventions to Complex Systems: Using Social Network Analysis to Understand School Engagement with Health and Wellbeing.International journal of environmental research and public health · 2019Article
- Local Spatial Analysis and Dynamic Simulation of Childhood Obesity and Neighbourhood Walkability in a Major Canadian City.AIMS public health · 2015Article
- Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionInterest has grown in how systems thinking could be used in obesity prevention. Relationships between key actors, represented by social networks, are an important focus for considering intervention in systems.
methodTwo long day care centers were selected in which previous obesity prevention programs had been implemented. Measures showed ways in which physical activity and dietary policy are conversations and actions transacted through social networks (interrelationships) within centers, via an eight item closed-ended social network questionnaire. Questionnaire data were collected from (17/20; response rate 85%) long day care center staff. Social network density and centrality statistics were calculated, using UCINET social network software, to examine the role of networks in obesity prevention.
results"Degree" (influence) and "betweeness" (gatekeeper) centrality measures of staff inter-relationships about physical activity, dietary, and policy information identified key players in each center. Network density was similar and high on some relationship networks in both centers but markedly different in others, suggesting that the network tool identified unique center social dynamics. These differences could potentially be the focus of future team capacity building.
conclusionSocial network analysis is a feasible and useful method to identify existing obesity prevention networks and key personnel in long day care centers.
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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.