Mobile But Connected: Harnessing the Power of Self-Efficacy and Group Support for Weight Loss Success through mHealth Intervention

References

• AbuSabha, R., & Achterberg, C. (1997). Review of self-efficacy and locus of control for nutrition- and health-related behavior. Journal of the American Dietetic Association, 97, 1122–1132. doi:10.1016/S0002-8223(97)00273-3
   PubMed Web of Science ®Google Scholar
• Allen, J. K., Stephens, J., Himmelfarb, C. R. D., Stewart, K. J., & Hauck, S. (2013). Randomized controlled pilot study testing use of smartphone technology for obesity treatment. Journal of Obesity, Article ID 151597. doi:10.1155/2013/151597
   PubMedGoogle Scholar
• Anderson, E. S., Winett, R. A., Wojcik, J. R., & Williams, D. M. (2010). Social cognitive mediators of change in a group randomized nutrition and physical activity intervention. Journal of Health Psychology, 15, 21–32. doi:10.1177/1359105309342297
   PubMed Web of Science ®Google Scholar
• Antonucci, T. C., & Jackson, J. S. (1990). The role of reciprocity in social support. In B. R. Sarason, I. G. Sarason, & G. R. Pierce (Eds.), Social support: An interactional view (pp. 173–198). Oxford, United Kingdom: John Wiley & Sons.
   Google Scholar
• Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavior change. Psychological Review, 84, 191–215. doi:10.1037/0033-295X.84.2.191
   PubMed Web of Science ®Google Scholar
• Bandura, A. (1989). Human agency in social cognitive theory. American Psychologist, 44, 1175–1184. doi:10.1037/0003-066X.44.9.1175
   PubMed Web of Science ®Google Scholar
• Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: Freeman.
   Google Scholar
• Barabasi, A.-L., & Reka, A. (1999). Emergence of scaling in random networks. Science, 286, 509–512. doi:10.1126/science.286.5439.509
   PubMed Web of Science ®Google Scholar
• Barrera, M., Jr. (1986). Distinctions between social support concepts, measures, and models. American Journal of Community Psychology, 14, 413–445. doi:10.1007/BF00922627
   Web of Science ®Google Scholar
• Bas, M., & Donmez, S. (2009). Self-efficacy and restrained eating in relation to weight loss among overweight men and women in Turkey. Appetite, 52, 209–216. doi:10.1016/j.appet.2008.09.017
   PubMed Web of Science ®Google Scholar
• Blanchard, A. L. (2008). Testing a model of sense of virtual community. Computers in Human Behavior, 24, 2107–2123. doi:10.1016/j.chb.2007.10.002
   Web of Science ®Google Scholar
• Bosscher, R. J., & Smit, J. H. (1998). Confirmatory factor analysis of the general self-efficacy scale. Behaviour Research and Theory, 36, 339–343. doi:10.1016/S0005-7967(98)00025-4
   PubMed Web of Science ®Google Scholar
• Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen, & J. S. Long (Eds.), Testing structural equation models (pp. 136–162). Newbury Park, CA: Sage.
   Google Scholar
• Burke, L. E., Conroy, M. B., Sereika, S. M., Elci, O. U., Styn, M. A., Acharya, S. D., … Glanz, K. (2011). The effect of electronic self-monitoring on weight loss and dietary intake: A randomized behavioral weight loss trial. Obesity, 19, 338–344. doi:10.1038/oby.2010.208
   PubMed Web of Science ®Google Scholar
• Carter, M. C., Burley, V. J., Nykjaer, C., & Cade, J. E. (2013). Adherence to a smartphone application for weight loss compared to website and paper diary: Pilot randomized controlled trial. Journal of Medical Internet Research, 15, e32. doi:10.2196/jmir.2283
   PubMed Web of Science ®Google Scholar
• Cawley, J., & Meyerhoefer, C. (2012). The medical care costs of obesity: An instrumental variables approach. Journal of Health Economics, 31, 219–230. doi:10.1016/j.jhealeco.2011.10.003
   PubMed Web of Science ®Google Scholar
• Chen, G., Gully, S. M., & Eden, D. (2001). Validation of a new general self-efficacy scale. Organizational Research Methods, 4, 62–83. doi:10.1177/109442810141004
   Web of Science ®Google Scholar
• Chiessi, M., Cicognani, E., & Sonn, C. (2010). Assessing sense of community on adolescents: Validating the brief scale of sense of community in adolescents. Journal of Community Psychology, 38, 276–292. doi:10.1002/jcop.20364
   Web of Science ®Google Scholar
• Cohen, S., Gottlieb, B. H., & Underwood, L. G. (2000). Social relationships and health. In S. Cohen, L. G. Underwood, & B. H. Gottlieb (Eds.), Social support measurement and intervention (pp. 3–25). New York, NY: Oxford University Press.
   Google Scholar
• Cruwys, T., Bevelander, K. E., & Hermans, R. C. J. (2015). Social modeling of eating: A review of when and why social influence affects food intake and choice. Appetite, 86(2), 3–18. doi:10.1016/j.appet.2014.08.035
   PubMed Web of Science ®Google Scholar
• Elfhag, K., & Rössner, S. (2005). Who succeeds in maintaining weight loss? A conceptual review of factors associated with weight loss maintenance and weight regain. Obesity Reviews, 6, 67–85. doi:10.1111/j.1467-789X.2005.00170.x
   PubMed Web of Science ®Google Scholar
• Faw, M. H. (2014). Young adults’ strategies for managing social support during weight-loss attempts. Qualitative Health Research, 24, 267–278. doi:10.1177/1049732313520079
   PubMed Web of Science ®Google Scholar
• Fitzgerald, A., Heary, C., Kelly, C., Nixon, E., & Shevlin, M. (2013). Self-efficacy for healthy eating and peer support for unhealthy eating are associated with adolescents’ food intake patterns. Appetite, 63, 48–58. doi:10.1016/j.appet.2012.12.011
   PubMed Web of Science ®Google Scholar
• Flegal, K. M., Carroll, M. D., Kit, B. K., & Ogden, C. L. (2012). Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999-2010. Journal of American Medical Association, 307, 491–497. doi:10.1001/jama.2012.39
   PubMed Web of Science ®Google Scholar
• Gibbs, J., Kim, H., & Ki, S. (2016). Investigating the role of control and support mechanisms in members’ sense of virtual community. Communication Research. doi:10.1177/0093650216644023
   Google Scholar
• Hollis, J. F., Guillion, C. M., Stevens, V. J., Brantley, P. J., Appel, L. J., Ard, J. D., & Svetkey, L. P. (2008). Weight loss during the intensive intervention phase of the weight-loss maintenance trial. American Journal of Preventive Medicine, 35, 118–126. doi:10.1016/j.amepre.2008.04.013
   PubMed Web of Science ®Google Scholar
• House, J. S. (1981). Work stress and social support. Reading, MA: Addison-Wesley.
   Google Scholar
• Hu, L., & Bentler, P. M. (1995). Evaluating model fit. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications (pp. 76–99). Thousand Oaks, CA: Sage.
   Google Scholar
• Hwang, K. O., Ottenbacher, A. J., Lucke, J. F., Etchegaray, J. M., Graham, A. L., & Thomas, E. J. (2011). Measuring social support for weight loss in an internet weight loss community. Journal of Health Communication, 16, 198–211. doi:10.1080/10810730.2010.535106
   PubMed Web of Science ®Google Scholar
• Kim, H. (2014). Enacted social support on social media and subjective well-being. International Journal of Communication, 8, 2201–2222.
   Google Scholar
• Kline, R. B. (2015). Principles and practices of structural equation modeling. New York, NY: The Guilford Press.
   Google Scholar
• Kohut, A., Keeter, S., Doherty, C., Dimock, M., & Christian, L. (2012). Assessing the representativeness of public opinion surveys. Washington, DC: The Pew Research Center For The People and The Press.
   Google Scholar
• Korda, H., & Itani, Z. (2013). Harnessing social media for health promotion and behavior change. Health Promotion Practice, 14, 15–23. doi:10.1177/1524839911405850
   PubMedGoogle Scholar
• Linde, J. A., Rothman, A. J., Baldwin, A. S., & Jeffery, R. W. (2006). The impact of self-efficacy on behavior change and weight change among overweight participants in a weight loss trial. Health Psychology, 25, 282–291. doi:10.1037/0278-6133.25.3.282
   PubMed Web of Science ®Google Scholar
• Livhits, M., Mercado, C., Yermilov, I., Parikh, J., Dutson, E., Mehran, A., … Gibbons, M. (2011). Is social support associated with greater weight loss after bariatric surgery?: A systematic review. Obesity Reviews, 12, 142–148. doi:10.1111/obr.2011.12.issue-2
   PubMed Web of Science ®Google Scholar
• Mateo, G. F., Granado-Font, E., Ferré-Grau, C., & Montaña-Carreras, X. (2015). Mobile phone apps to promote weight loss and increase physical activity: A systematic review and meta-analysis. Journal of Medical Internet Research, 17, e253. doi:10.2196/jmir.4836
   PubMed Web of Science ®Google Scholar
• Pretty, G., Andrewes, L., & Collett, C. (1994). Exploring adolescents’ sense of community and its relationship to loneliness. Journal of Community Psychology, 22, 346–358. doi:10.1002/(ISSN)1520-6629
   Web of Science ®Google Scholar
• Puhl, R. M., & Heuer, C. A. (2010). Obesity stigma: Important considerations for public health. American Journal of Public Health, 100, 1019–1028. doi:10.2105/AJPH.2009.159491
   PubMed Web of Science ®Google Scholar
• Rains, S. A., & Young, V. (2009). A meta-analysis of research on formal computer-mediated support groups: Examining group characteristics and health outcomes. Human Communication Research, 35, 309–336. doi:10.1111/hcre.2009.35.issue-3
   Web of Science ®Google Scholar
• Rimal, R. N. (2000). Closing the knowledge-behavior gap in health promotion: The mediating role of self-efficacy. Health Communication, 12, 219–237. doi:10.1207/S15327027HC1203_01
   PubMed Web of Science ®Google Scholar
• Senecal, C., Nouwen, A., & White, D. (2000). Motivation and dietary self-care in adults with diabetes: A self-efficacy and autonomous self-regulation complementary or competing constructs. Health Psychology, 19, 452–457. doi:10.1037/0278-6133.19.5.452
   PubMed Web of Science ®Google Scholar
• Sherer, M., Maddux, J. E., Mercandante, B., Prentice-Dunn, S., Jacobs, B., & Rogers, R. W. (1982). The self-efficacy scale: Construction and validation. Psychological Reports, 51, 663–671. doi:10.2466/pr0.1982.51.2.663
   Web of Science ®Google Scholar
• Shih, T.-H., & Fan, X. (2009). Comparing response rates in e-mail and paper surveys: A meta-analysis. Educational Research Review, 4, 26–40. doi:10.1016/j.edurev.2008.01.003
   Web of Science ®Google Scholar
• Talo, C., Mannarini, T., & Rochira, A. (2014). Sense of community and community participation: A meta-analytic review. Social Indicators Research, 117, 1–28. doi:10.1007/s11205-013-0347-2
   Web of Science ®Google Scholar
• van Uden-Kraan, C. R., Drossaert, C. H. C., Taal, E., Seydel, E. R., & van de Laar, M. A. F. J. (2008). Self-reported differences in empowerment between lurkers and posters in online patient support groups. Journal of Medical Internet Research, 10, e18. doi:10.2196/jmir.992
   PubMed Web of Science ®Google Scholar
• Vieno, A., Santinello, D., Pastore, M., & Perkins, D. (2007). Social support, sense of community in school, and self-efficacy as resources during early adolescence: An integrative model. American Journal of Community Psychology, 39, 177–190. doi:10.1007/s10464-007-9095-2
   PubMed Web of Science ®Google Scholar
• Walther, J. B., & Boyd, S. (2002). Attraction to computer-mediated social support. In C. A. Lin & D. Atkin (Eds.), Communication technology and society: Audience adoption and uses (pp. 153–188). Cresskill, NJ: Hampton Press.
   Google Scholar
• Wing, R., & Jeffery, R. (1999). Benefits of recruiting participants with friends and increasing social support for weight loss and maintenance. Journal of Consulting and Clinical Psychology, 67, 132–138. doi:10.1037/0022-006X.67.1.132
   PubMed Web of Science ®Google Scholar
• Woodruff, S. L., & Cashman, J. F. (1993). Task, domain, and general efficacy: A reexamination of the self-efficacy scale. Psychological Reports, 72, 423–432. doi:10.2466/pr0.1993.72.2.423
   Web of Science ®Google Scholar
• Wright, K. B., & Miller, C. H. (2010). A measure of weak-tie/strong-tie support network preference. Communication Monographs, 77, 502–520. doi:10.1080/03637751.2010.502538
   Web of Science ®Google Scholar
• Wright, K. B., & Rains, S. A. (2013). Weak-tie support network preference, health-related stigma, and health outcomes in computer-mediated support groups. Journal of Applied Communication Research, 41, 309–324. doi:10.1080/00909882.2013.792435
   Web of Science ®Google Scholar