Effects of Social Support About Physical Activity on Social Networking Sites: Applying the Theory of Planned Behavior

REFERENCES

• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes,50(2), 179–211. doi:10.1016/0749-5978(91)90020-T
   Web of Science ®Google Scholar
• American College Health Association. (2010). National college health assessment reference group executive summary Spring 2010. Retrieved from http://www.acha-ncha.org/docs/ACHA-NCHA-II_ReferenceGroup_ExecutiveSummary_Spring2010.pdf
   Google Scholar
• Blanchard, C., Fisher, J., Sparling, P., Nehl, E., Rhodes, R., Courneya, K., & Baker, F. (2008). Understanding physical activity behavior in African American and Caucasian college students: An application of the theory of planned behavior. Journal of American College Health,56, 341–346. doi:10.3200/JACH.56.44.341-346
   PubMed Web of Science ®Google Scholar
• boyd, d. m., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication,13(1), 210–230. doi:10.1111/j.1083-6101.2007.00393.x
   Web of Science ®Google Scholar
• Boyle, J., Mattern, C. O., Lassiter, J. W., & Ritzler, J. A. (2011). Peer 2 Peer: Efficacy of a course-based peer education intervention to increase physical activity among college students. Journal of American College Health,59, 519–529. doi:10.1080/07448481.2010.523854
   PubMed Web of Science ®Google Scholar
• Bray, S. R. (2007). Self-efficacy for coping with barriers helps students stay physically active during transition to their first year at a university. Research Quarterly for Exercise and Sport,78(2), 61–70. doi:10.1080/02701367.2007.10599404
   PubMed Web of Science ®Google Scholar
• Bray, S. R., & Born, H. A. (2004). Transition to university and vigorous physical activity: Implications for health and psychological well-being. Journal of American College Health,52, 181–188. doi:10.3200/JACH.52.4.181-188
   PubMed Web of Science ®Google Scholar
• Cai, S. (2000). Physical exercise and mental health: A content integrated approach in coping with college student anxiety and depression. Physical Educator,57(2), 69–76.
   Google Scholar
• Calfas, K. J., Sallis, J. F., Nichols, J. F., Sarkin, J. A., Johnson, M. F., Caparosa, S., … Alcaraz, J. E. (2000). Project GRAD: Two-year outcomes of a randomized controlled physical activity intervention among young adults. Graduate ready for activity daily. American Journal of Preventive Medicine,18(1), 28–37. doi:10.1016/S0749-3797(99)00117-8
   PubMed Web of Science ®Google Scholar
• Caspersen, C. J., Powell, K. E., & Christenson, G. M. (1985). Physical activity, exercise, and physical fitness: Definitions and distinctions for health-related research. Public Health Reports,100(2), 126–131.
   PubMed Web of Science ®Google Scholar
• Cavallo, D. N., Tate, D. F., Ries, A. V., Brown, J., DeVellis, R. F., & Ammerman, A. S. (2012). A social media-based physical activity intervention. American Journal of Preventive Medicine,43, 527–532. doi:10.1016/j.amepre.2012.07.019
   PubMed Web of Science ®Google Scholar
• Centers for Disease Control and Prevention. (2009). Behavioral risk factor surveillance system: Prevalence and trends data. Retrieved from http://apps.nccd.cdc.gov/brfss/list.asp?cat=physicalactivity&yr=2009&qkey=4418&state=All
   Google Scholar
• Chogahara, M. (1999). A multidimensional scale for assessing positive and negative social influences on physical activity in older adults. Journals of Gerontology Series B: Psychological Sciences and Social Sciences,54B(6), S356–S367. doi:10.1093/geronb/54B.6.S356
   Google Scholar
• Cholewa, S., & Irwin, J. D. (2008). Project IMPACT: Brief report on a pilot programme promoting physical activity among university students. Journal of Health Psychology,13, 1207–1212. doi:10.1177/1359105308095979
   PubMed Web of Science ®Google Scholar
• Chu, S. C. (2009). Determinants of consumer engagement in electronic word-of-mouth in social networking sites. Unpublished doctoral dissertation, University of Texas, Austin.
   Google Scholar
• Courneya, K. S., Conner, M., & Rhodes, R. E. (2006). Effects of different measurement scales on the variability and predictive validity of the “two-component” model of the theory of planned behavior in the exercise domain. Psychology & Health,21, 557–570. doi:10.1080/14768320500422857
   Web of Science ®Google Scholar
• Courneya, K. S., & McAuley, E. (1995). Cognitive mediators of the social influence-exercise adherence relationship: A test of the theory of planned behavior. Journal of Behavioral Medicine,18, 499–515. doi:10.1007/BF01904776
   PubMed Web of Science ®Google Scholar
• Courneya, K. S., Plotnikoff, R. C., Hotz, S. B., & Birkett, N. J. (2000). Social support and the theory of planned behavior in the exercise domain. American Journal of Health Behavior,24, 300–308. doi:10.5993/AJHB.24.4.6
   Web of Science ®Google Scholar
• Downs, A., & Ashton, J. (2011). Vigorous physical activity, sports participation, and athletic identity: Implications for mental and physical health in college students. Journal of Sport Behavior,34, 228–249.
   Google Scholar
• Ellison, N. B., Steinfield, C., & Lampe, C. (2007). The benefits of Facebook “friends:” Social capital and college students’ use of online social network sites. Journal of Computer Mediated Communication,12, 1143–1168. doi:10.1111/j.1083-6101.2007.00367.x
   Web of Science ®Google Scholar
• Fish, C., & Nies, M. A. (1996). Health promotion needs of students in a college environment. Public Health Nursing,13(2), 104–111. doi:10.1111/j.1525-1446.1996.tb00227.x
   PubMed Web of Science ®Google Scholar
• Fishbein, M. (2007). A reasoned action approach: Some issues, questions, and clarifications. In I. Ajzen, D. Albarracin, & R. Hornik (Eds.), Prediction and change of health behavior: Applying the reasoned action approach (pp. 281–296). Hillsdale, NJ: Lawrence Erlbaum Associates.
   Google Scholar
• Freberg, K. (2013). Using the theory of planned behavior to predict intention to comply with a food recall message. Health Communication,28, 359–365. doi:10.1080/10410236.2012.688657
   PubMed Web of Science ®Google Scholar
• French, D. P., Sutton, S., Hennings, S. J., Mitchell, J., Wareham, N. J., Griffin, S., … Kinmonth, A. L. (2005). The importance of affective beliefs and attitudes in the theory of planned behavior: Predicting intention to increase physical activity. Journal of Applied Social Psychology,35, 1824–1848. doi:10.1111/j.1559-1816.2005.tb02197.x
   Web of Science ®Google Scholar
• Gómez-López, M., Gallegos, A. G., & Extremera, A. B. (2011). Perceived barriers by university students in the practice of physical activities. Journal of Sports Science and Medicine,9, 374–381.
   Web of Science ®Google Scholar
• Hampton, K., Goulet, L. S., Rainie, L., & Purcell, K. (2011). Social networking sites and our lives. Retrieved from http://www.pewinternet.org/Reports/2011/Technology-and-social-networks.aspx
   Google Scholar
• Hayes, A. F. (2009). Beyond Baron and Kenny: Statistical mediation analysis in the new millennium. Communication Monographs,76, 408–420. doi:10.1080/03637750903310360
   Web of Science ®Google Scholar
• House, J. S. (1981). Work stress and social support. Reading, MA: Addison-Wesley.
   Google Scholar
• Ince, M. L. (2008). Use of a social cognitive theory-based physical-activity intervention on health-promoting behaviors of university students. Perceptual and Motor Skills,107, 833–836. doi:10.2466/PMS.107.7.833-836
   PubMed Web of Science ®Google Scholar
• Leslie, E., Sparling, P. B., & Owen, N. (2001). University campus settings and the promotion of physical activity in young adults: Lessons from research in Australia and the USA. Health Education,101, 116–125. doi:10.1108/09654280110387880
   Google Scholar
• Okun, M. A., Karoly, P., & Lutz, R. (2002). Clarifying the contribution of subjective norm to predicting leisure-time exercise. American Journal of Health Behavior,26, 296–305. doi:10.5993/AJHB.26.4.6
   PubMed Web of Science ®Google Scholar
• Okun, M. A., Ruehlman, L., Karoly, P., Lutz, R., Fairholme, C., & Schaub, R. (2003). Social support and social norms: Do both contribute to predicting leisure-time exercise? American Journal of Health Behavior,27, 493–507. doi:10.5993/AJHB.27.5.2
   PubMed Web of Science ®Google Scholar
• Southwell, B. G. (2013). Social networks and popular understanding of science and health: Sharing disparities. Baltimore, MD: Johns Hopkins University Press.
   Google Scholar
• Sparling, P. B., & Snow, T. K. (2002). Physical activity patterns in recent college alumni. Research Quarterly for Exercise and Sport,73, 200–205. doi:10.1080/02701367.2002.10609009
   PubMed Web of Science ®Google Scholar
• University of Iowa Recreation Services (2012). Fitness programs. Retrieved from http://recserv.uiowa.edu/Apps/Programs/FitnessPrograms.aspx
   Google Scholar
• Wang, X. (2009). Integrating the theory of planned behavior and attitude functions: Implications for health campaign design. Health Communication,24, 426–434. doi:10.1080/10410230903023477
   PubMed Web of Science ®Google Scholar
• Weinstock, J. (2010). A review of exercise as intervention for sedentary hazardous drinking college students: Rationale and issues. Journal of American College Health,58, 539–544. doi:10.1080/07448481003686034
   PubMed Web of Science ®Google Scholar
• Yore, M. M., Ham, S. A., Ainsworth, B. E., Kruger, J., Reis, J. P., Kohl, H. W., & Macera, C. A. (2007). Reliability and validity of the instrument used in BRFSS to assess physical activity. Medicine and Science in Sports and Exercise,39, 1267–1274. doi:10.1249/mss.0b013e3180618bbe
   PubMed Web of Science ®Google Scholar