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Connecting with Active People Matters: The Influence of an Online Community on Physical Activity Behavior

  • Maartje Groenewegen
  • Dimo Stoyanov
  • Dirk Deichmann
  • Aart van Halteren
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7710)

Abstract

This paper discusses the impact of online social networks as means to motivate people to become more physically active. Based on a data set from 4333 participants we show that the activity level of people that participated in the online community (for 14 weeks) is significantly higher compared to people that choose not to become a member of that community. Detailed analyses show that the number of contacts in the online community does not have a significant effect on the physical activity level while network density even has a significant, negative effect. On the other hand, the activity level of a participant is higher when his or her friends also have a high average activity level. This effect is even higher when a participant’s amount of friends increases. Theoretical and managerial implications concerning the impact of online social networks on offline behavior are discussed.

Keywords

Physical activity promotion social network analyses motivation 

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References

  1. 1.
    Adler, P.S., Kwon, S.: Social capital: Prospects for a new concept. Academy of Management Review 27, 17–40 (2002)Google Scholar
  2. 2.
    Ahuja, G.: Collaboration networks, structural holes, and innovation: A longitudinal study. Administrative Science Quarterly 45, 425–455 (2000)CrossRefGoogle Scholar
  3. 3.
    Ajzen, I., Madden, T.J.: Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control. Journal of Experimental Social Psychology 22(5), 453–474 (1986)CrossRefGoogle Scholar
  4. 4.
    Berkman, L.F., Glass, T., Brissette, I., Seeman, T.E.: From social integration to health: Durkheim in the new millennium. Social Science & Medicine 51, 843–857 (2000)CrossRefGoogle Scholar
  5. 5.
    Bish, C.L., Blanck, H.M., Serdula, M.K., Marcus, M., Kohl, H.W., Kahn, L.K.: Diet and physical activity behaviors among americans trying to lose weight: 2000 behavioral risk factor surveillance system. Obesity Research 13, 596–607 (2005)CrossRefGoogle Scholar
  6. 6.
    Bonomi, A.G., Plasqui, G., Goris, A.H., Westerterp, K.R.: Obesity. Silver Spring 18, 1845–1851 (2010)CrossRefGoogle Scholar
  7. 7.
    Borgatti, S.P., Everett, M.G., Freeman, L.C.: Ucinet for windows: Software for social network analysis. Analytic Technologies, Harvard (2002)Google Scholar
  8. 8.
    Brass, D.J., Galaskiewicz, J., Greve, H.R., Tsai, W.: Taking stock of networks and organizations: A multilevel perspective. Academy of Managment Journal 47(6), 795–817 (2004)CrossRefGoogle Scholar
  9. 9.
    Burke, M., Marlow, C., Lento, T.: Feed me: Motivating newcomer contribution in social network sites. In: ACM CHI 2009: Conference on Human Factors in Computing Systems, pp. 945–954 (2009)Google Scholar
  10. 10.
    Burt, R.S.: Structural holes. Harvard University Press, Cambridge (1992)Google Scholar
  11. 11.
    Carr, L.J., Bartee, R.T., Dorozynski, C., Broomfield, J.M., Smith, M.L., Smith, D.T.: Internet-delivered behavior change program increases physical activity and improves cardiometabolic disease risk factors in sedentary adults: results of a randomized controlled trial. Preventive Medicine 46, 431–438 (2008)CrossRefGoogle Scholar
  12. 12.
    Centola, D.: The spread of behavior in an online social network experiment. Science 329(5996), 1194–1197 (2010)CrossRefGoogle Scholar
  13. 13.
    Centola, D.: An experimental study of homophily in the adoption of health behavior. Science 334(6060), 1269–1272 (2011)CrossRefGoogle Scholar
  14. 14.
    Christakis, N.A., Fowler, J.H.: The spread of obesity in a large social network over 32 years. New England Journal of Medicine 57, 370–379 (2007)CrossRefGoogle Scholar
  15. 15.
    Courneya, K.S.: Understanding readiness for regular physical activity in older individuals: An application of the theory of planned behavior. Health Psychology 14, 80–87Google Scholar
  16. 16.
    Deci, E.L., Ryan, R.M.: Promoting self-determined education. Scandinavian Journal of Educational Research 38, 3–14 (1994)CrossRefGoogle Scholar
  17. 17.
    Ellison, N.B., Steinfield, C., Lampe, C.: The benefits of facebook ”friends:” social capital and college students’ use of online social network sites. Journal of Computer-Mediated Communication 12(4) (2007)Google Scholar
  18. 18.
    Eyler, A.A., Brownson, R.C., Donatelle, R.J., King, A.C., Brown, D., Sallis, J.F.: Physical activity social support and middle- and older-aged minority women: results from a us survey. Social Science & Medicine 49, 781–789 (2001)CrossRefGoogle Scholar
  19. 19.
    Eysenbach, G., Powell, J., Englesakis, M., Rizo, C., Stern, A.: Health related virtual communities and electronic support groups: systematic review of the effects of online peer to peer interactions. BMJ 328, 1166 (2004)CrossRefGoogle Scholar
  20. 20.
    Friedkin, N.E.: A Structural Theory of Social Influence. Structural Analysis in the Social Sciences. Cambridge University Press (2006)Google Scholar
  21. 21.
    Haynie, D.L.: Delinquent Peers Revisited: Does Network Structure Matter? The American Journal of Sociology 106(4), 1013–1057 (2001)CrossRefGoogle Scholar
  22. 22.
    Martin, A.J., Dowson, M.: Interpersonal relationships, motivation, engagement, and achievement: Yields for theory, current issues, and educational practice. Review of Educational Research 79, 327–365 (2009)CrossRefGoogle Scholar
  23. 23.
    McNeill, L.H., Kreuter, M.W., Subramanian, S.V.: Social environment and physical activity: A review of concepts and evidence. Social Science & Medicine 63, 1011–1022 (2006)CrossRefGoogle Scholar
  24. 24.
    McPherson, M., Smith-Lovin, L., Cook, J.M.: Bird of a feather: Homophily in social networks. Annual Review of Sociology 27, 415–444 (2001)CrossRefGoogle Scholar
  25. 25.
    U.S. Department of Health and Human Services. Physical activity and health: A report of the Surgeon General. Atlanta, GA: I.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic disease Prevention and Health PromotionGoogle Scholar
  26. 26.
    Pate, R.R., Pratt, M., Blair, S.N., et al.: Physical activity and public health: a recommendation from the centers for disease control and prevention and the american college of sports medicine. JAMA 273(5), 402–407 (1995)CrossRefGoogle Scholar
  27. 27.
    Plasqui, G., Westerterp, K.R.: Physical Activity Assessment With Accelerometers: An Evaluation Against Doubly Labeled Water. Obesity 15(10), 2371–2379 (2007)CrossRefGoogle Scholar
  28. 28.
    Podolny, J.M., Baron, J.N.: Resources and relationships: Social networks and mobility in the workplace. American Sociological Review 62, 673–693 (1997)CrossRefGoogle Scholar
  29. 29.
    Provan, K.G., Fish, A., Sydow, J.: Interorganizational networks at the network level: A review of the empirical literature on whole networks. Journal of Management 33, 479–516 (2007)CrossRefGoogle Scholar
  30. 30.
    Ryan, R.M., Deci, E.L.: Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist 55, 68–78 (2000)CrossRefGoogle Scholar
  31. 31.
    Scott, J.: Social Network Analysis: A Handbook. Sage, Thousand Oaks (2000)Google Scholar
  32. 32.
    Sheeran, P.: Intention behavior relations: A conceptual and empirical review. European Review of Social Psychology 12(1), 1–36 (2002)CrossRefGoogle Scholar
  33. 33.
    Sparrowe, R.T., Liden, R.C., Wayne, S.J., Kraimer, M.L.: Social networks and the performance of individuals and groups. Academy of Management Journal 44(2), 316–325 (2001)CrossRefGoogle Scholar
  34. 34.
    Strecher, V.J., Seijts, G.H.: Goal setting as a strategy for health behavior change. Health Education & Behavior 22, 190–200 (1995)CrossRefGoogle Scholar
  35. 35.
    Terry, D.J., Hogg, M.A.: Group norms and the attitude-behavior relationship: A role for group identification. Personality and Social Psychology Bulletin 22, 776–793 (1996)CrossRefGoogle Scholar
  36. 36.
    Vallerand, R.J.: Intrinsic and Extrinsic Motivation in Sport and Physical Activity: A Review and a Look at the Future. John Wiley & Sons, Inc., Hoboken (2007)Google Scholar
  37. 37.
    Van Ryzin, M.J., Gravely, A.A., Roseth, C.J.: Autonomy, belongingness, and engagement in school as contributors to adolescent psychological well-being. Journal of Youth Adolescence 38, 1–12 (2009)CrossRefGoogle Scholar
  38. 38.
    Vandelanotte, C., Spathonis, K.M., Eakin, E.G., Owen, N.: Website-delivered physical activity interventions: A review of the literature. American Journal of Preventive Medicine. 33(1), 54–64 (2007)CrossRefGoogle Scholar
  39. 39.
    Voorhees, C.C., Murray, D., Welk, G., et al.: The role of peer social network factors and physical activity in adolescent girls. 29, 183–190 (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Maartje Groenewegen
    • 1
  • Dimo Stoyanov
    • 1
  • Dirk Deichmann
    • 1
  • Aart van Halteren
    • 1
    • 2
  1. 1.VU University AmsterdamThe Netherlands
  2. 2.Philips ResearchEindhovenThe Netherlands

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