Community networks of sport and physical activity promotion: an analysis of structural properties and conditions of cooperation
BMC Public Health, ISSN: 1471-2458, Vol: 22, Issue: 1, Page: 1966
2022
- 5Citations
- 17Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations5
- Citation Indexes5
- CrossRef4
- Captures17
- Readers17
- 17
Article Description
Background:: The 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. Methods:: Survey 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. Results:: Similar 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). Conclusion:: The 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.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85140777855&origin=inward; http://dx.doi.org/10.1186/s12889-022-14383-3; http://www.ncbi.nlm.nih.gov/pubmed/36289498; https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-022-14383-3; https://dx.doi.org/10.1186/s12889-022-14383-3
Springer Science and Business Media LLC
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