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Conducting Physical Activity Research on Racially and Ethnically Diverse Adolescents Using Social Network Analysis: Case Studies for Practical Use

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Listed:
  • Tyler Prochnow

    (School of Public Health, Texas A&M University, College Station, TX 77843, USA)

  • Meg Patterson

    (School of Public Health, Texas A&M University, College Station, TX 77843, USA)

  • M. Renée Umstattd Meyer

    (Robbins College of Health and Human Sciences, Baylor University, Waco, TX 76798, USA)

  • Joseph Lightner

    (School of Nursing and Health Studies, University of Missouri-Kansas City, Kansas City, MO 64108, USA)

  • Luis Gomez

    (School of Public Health, Texas A&M University, College Station, TX 77843, USA)

  • Joseph Sharkey

    (School of Public Health, Texas A&M University, College Station, TX 77843, USA)

Abstract

Adolescent physical activity (PA) is significantly impacted by peer behaviors through peer influence, peer selection, and popularity. However, the scales for these social constructs may not fully capture the detailed social networks and mechanisms responsible for PA behavior changes. This level of detail and granularity can be quantified and analyzed through social network analysis (SNA). To demonstrate the variety, utility, and efficacy of SNA in adolescent PA research, this article aims to provide four case studies on the collection of social network and PA data on ethnically and racially diverse adolescents. Through case studies, this article provides tangible ways in which SNA can be used to evaluate social influences on PA behaviors. Case studies are presented on: (1) Youth Engagement in Sport—an egocentric analysis of middle school youth participation in an experiential sport program with 3- and 6-month follow-ups; (2) Summer care program networks—an egocentric and whole network longitudinal study of adolescents at summer care programs; (3) The Convoy method—a qualitative egocentric discussion activity with adolescents from colonias on the Texas-Mexico border; and (4) A father-focused, family-centered health program—an egocentric experimental analysis of children participating in a health program. Data collection procedures are listed and example surveys are provided. Descriptive analyses are included, as are recommendations on further analysis techniques for each type of network data. Using SNA, researchers can understand social contexts in a more specific manner, better positioning interventions to alter such influences.

Suggested Citation

  • Tyler Prochnow & Meg Patterson & M. Renée Umstattd Meyer & Joseph Lightner & Luis Gomez & Joseph Sharkey, 2022. "Conducting Physical Activity Research on Racially and Ethnically Diverse Adolescents Using Social Network Analysis: Case Studies for Practical Use," IJERPH, MDPI, vol. 19(18), pages 1-16, September.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:18:p:11545-:d:914279
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    References listed on IDEAS

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    1. Hogan, Bernie & Janulis, Patrick & Phillips, Gregory Lee & Melville, Joshua & Mustanski, Brian & Contractor, Noshir & Birkett, Michelle, 2020. "Assessing the stability of egocentric networks over time using the digital participant-aided sociogram tool Network Canvas," Network Science, Cambridge University Press, vol. 8(2), pages 204-222, June.
    2. Powell, L.M. & Slater, S. & Chaloupka, F.J. & Harper, D., 2006. "Availability of physical activity-related facilities and neighborhood demographic and socioeconomic characteristics: A national study," American Journal of Public Health, American Public Health Association, vol. 96(9), pages 1676-1680.
    3. de la Haye, Kayla & Robins, Garry & Mohr, Philip & Wilson, Carlene, 2011. "How physical activity shapes, and is shaped by, adolescent friendships," Social Science & Medicine, Elsevier, vol. 73(5), pages 719-728, September.
    4. Pavel N. Krivitsky & Mark S. Handcock, 2014. "A separable model for dynamic networks," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 76(1), pages 29-46, January.
    5. McNeill, Lorna Haughton & Kreuter, Matthew W. & Subramanian, S.V., 2006. "Social Environment and Physical activity: A review of concepts and evidence," Social Science & Medicine, Elsevier, vol. 63(4), pages 1011-1022, August.
    6. Henry, Teague & Gesell, Sabina B. & Ip, Edward H., 2016. "Analyzing heterogeneity in the effects of physical activity in children on social network structure and peer selection dynamics," Network Science, Cambridge University Press, vol. 4(3), pages 336-363, September.
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