Title |
Engineering online and in-person social networks to sustain physical activity: application of a conceptual model
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Published in |
BMC Public Health, August 2013
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DOI | 10.1186/1471-2458-13-753 |
Pubmed ID | |
Authors |
Liza S Rovniak, James F Sallis, Jennifer L Kraschnewski, Christopher N Sciamanna, Elizabeth J Kiser, Chester A Ray, Vernon M Chinchilli, Ding Ding, Stephen A Matthews, Melissa Bopp, Daniel R George, Melbourne F Hovell |
Abstract |
High rates of physical inactivity compromise the health status of populations globally. Social networks have been shown to influence physical activity (PA), but little is known about how best to engineer social networks to sustain PA. To improve procedures for building networks that shape PA as a normative behavior, there is a need for more specific hypotheses about how social variables influence PA. There is also a need to integrate concepts from network science with ecological concepts that often guide the design of in-person and electronically-mediated interventions. Therefore, this paper: (1) proposes a conceptual model that integrates principles from network science and ecology across in-person and electronically-mediated intervention modes; and (2) illustrates the application of this model to the design and evaluation of a social network intervention for PA. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 3 | 43% |
Denmark | 1 | 14% |
India | 1 | 14% |
Unknown | 2 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 43% |
Scientists | 2 | 29% |
Practitioners (doctors, other healthcare professionals) | 2 | 29% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | <1% |
Australia | 1 | <1% |
Netherlands | 1 | <1% |
Peru | 1 | <1% |
United States | 1 | <1% |
Unknown | 223 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 43 | 19% |
Student > Ph. D. Student | 41 | 18% |
Researcher | 24 | 10% |
Student > Doctoral Student | 19 | 8% |
Student > Bachelor | 16 | 7% |
Other | 42 | 18% |
Unknown | 44 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 40 | 17% |
Medicine and Dentistry | 36 | 16% |
Nursing and Health Professions | 24 | 10% |
Psychology | 21 | 9% |
Sports and Recreations | 15 | 7% |
Other | 37 | 16% |
Unknown | 56 | 24% |