ArticleBMC public health2022
Community networks of sport and physical activity promotion: an analysis of structural properties and conditions of cooperation.
Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Community sports governance and physical activity participation: evidence on mediation by facilities and moderation by awareness.BMC public health · 2025Article
- Parental Perspectives on Pediatric Obesity Prevention and Management in Korea: Insights into Barriers and Facilitators.Journal of obesity & metabolic syndrome · 2025Article
- An empirical study on social network analysis for small residential communities in Gangwon State, South Korea.Scientific reports · 2024Article
- External relationships as implementation determinants in community-engaged, equity-focused COVID-19 vaccination events.Frontiers in health services · 2024Article
- Analyzing mechanisms of interdisciplinary cooperation in promoting students' health at university.BMC public health · 2023Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe importance of intersectoral cooperation networks among community organizations located in people's immediate environments in addressing population health problems such as physical inactivity has come into focus in recent years. To date, there is limited evidence on how and why such networks emerge. Therefore, the aims of this study were (a) to analyze the structural properties and (b) to identify the conditions of cooperation in interorganizational community networks of sport and physical activity promotion.
methodsSurvey data on cooperative relationships and organizational attributes of sports and physical activity providers as well as sports administrating organizations in two community networks located in urban districts in southern Germany were collected (Network I: n = 133 organizations; Network II: n = 50 organizations). Two quantitative descriptive procedures - network analysis and stochastic analyses of network modeling (exponential random graphs) - were applied.
resultsSimilar structures and conditions of cooperation were found in the networks (e.g. low density, centralization). The community sports administrations had the most central positions in both networks. Exponential random graph modeling showed that cooperation took place more frequently in triangular structures (closure effect) and revolved around a few central actors (preferential attachment effect). Organizations from different sectors cooperated more often than organizations from the same sector (heterophily effect).
conclusionThe study provided valid and robust findings on significant mechanisms and conditions of interorganizational cooperation in community networks focused on sport and physical activity promotion. Based on the results, implications for the development and most efficient governance of these networks can be derived.
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