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Quitting smoking using health issue-specific Social Networking Sites (SNSs): What influences participation, social identification, and smoking cessation self-efficacy?

Published online by Cambridge University Press:  09 August 2013

Joe Phua*
Affiliation:
University of Georgia
*
Address for Correspondence: Joe Phua, PhD, Assistant Professor, Grady College of Journalism and Mass Communication, University of Georgia, 120 Hooper Street, Athens, GA 30602, USA, E-mail: joephua@uga.edu, Phone: (706) 542-4984

Abstract

Introduction: This study examined members of health issue-specific social networking sites (SNSs) for smoking cessation, applying Social Identity Theory (SIT).

Aims: The aim of the study was to test the relationships between perceived verbal, affective, cognitive and physical intimacy on the sites, participation level, social identification and smoking cessation self-efficacy.

Methods: An online questionnaire (N = 252) assessed members of SNSs for smoking cessation. Confirmatory factor analysis (CFA), structural equation modelling (SEM), mediation analysis, MANOVA and ANOVA tests were used to test the hypotheses.

Results/Findings: Verbal, affective, cognitive and physical intimacy significantly predicted participation; participation significantly predicted social identification and smoking cessation self-efficacy; and social identification mediated between participation and smoking cessation self-efficacy. Active participants and lurkers differed significantly on perceived verbal, affective, cognitive and physical intimacy, social identification, and smoking cessation self-efficacy.

Conclusions: Health issue-specific SNSs for smoking cessation have a positive impact on members’ smoking cessation self-efficacy. Higher perceived intimacy facilitates participation online, which in turn influences smoking cessation self-efficacy, with social identification mediating this relationship.

Type
Articles
Copyright
Copyright © The Author(s), published by Cambridge University Press on behalf of Australian Academic Press Pty Ltd 2013 

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References

Balmford, J., Borland, R. & Benda, P. (2008). Patterns of use of an automated interactive personalized coaching program for smoking cessation. Journal of Medical Internet Research, 10 (5), e54. doi:10.2196/jmir.1016Google Scholar
Barker, V. (2009). Older adolescents’ motivations for social network site usage: The influence of gender, group identity, and collective self-esteem. Cyber Psychology & Behavior, 12 (2), 209213. doi:10.1089/cpb.2008.0228.CrossRefGoogle Scholar
Bishop, J. (2007). Increasing participation in online communities: A framework for human-computer interaction. Computers in Human Behavior, 23, 18811893. doi:10.1016/j.chb.2005.11.004Google Scholar
Boulos, M. & Wheeler, S. (2007). The emerging Web 2.0 social software: An enabling suite of sociable technologies in health and health care education. Health Information and Libraries Journal, 24, 223. doi:0.1111/j.1471-1842.2007.00701.xGoogle Scholar
boyd, D. M., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication, 13, article 11. doi:10.1111/j.1083-6101.2007.00393.xCrossRefGoogle Scholar
Brandtzaeg, P. B. & Heim, J. (2011). A typology of social networking sites users. International Journal of Web-Based Communities, 7 (1), 2851. doi:10.1504/IJWBC.2011.038124Google Scholar
Byrne, B. M. (1998). Structural Equation Modeling with LISREL, PRELIS, and SIMPLIS: Basic Concepts, Applications, and Programming. Mahwah, NJ: Lawrence Erlbaum.Google Scholar
Butler, B., Sproull, L., Kiesler, S. & Kraut, R. (2002). Community effort in online groups: Who does the work and why? In Weisband, S. & Atwater, L. (Eds). Leadership at a Distance. Mahwah, NJ: Lawrence Erlbaum.Google Scholar
Centers for Disease Control and Prevention (2013). Smoking and Tobacco Use. Retrieved from: http://www.cdc.gov/tobacco/data_statistics/fact_sheets/fast_facts/#tollGoogle Scholar
Christofides, E., Muise, A. & Desmarais, S. (2009). Information disclosure and control on Facebook: Are they two sides of the same coin or two different processes? Cyberpsychology and Behavior, 12 (3), 341345. doi:10.1089/cpb.2008.0226.Google Scholar
Cobb, N. K., Graham, A. L. & Abrams, D. B. (2010). Social network structure of a large online community for smoking cessation. American Journal of Public Health, 100 (7), 12821289. doi:10.2105/AJPH.2009.165449Google Scholar
Cullum, J., O'Grady, M., Sandoval, P., Armeli, S. & Tennen, H. (2013). Ignoring norms with a little help from my friends: Social support reduces normative influence on drinking behavior. Journal of Social & Clinical Psychology, 32 (1), 1733. doi:10.1521/jscp.2013.32.1.17.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 (4), 11431168. doi:10.1111/j.1083-6101.2007.00367.xGoogle Scholar
Etter, J., Bergman, M., Humair, J. & Perneger, T.V. (2000). Development and validation of a scale measuring self-efficacy of current and former smokers. Addiction, 95 (6), 901913. doi:10.1046/j.1360-0443.2000.9569017.xGoogle Scholar
Han, J. Y., Kim, J. H., Yoon, H. J., Shim, M. S., McTavish, F. & Gustafson, D. (2012). Social and psychological determinants of levels of engagement with an online breast cancer support group: Posters, lurkers and non-users. Journal of Health Communication, 17 (3), 356371. doi:10.1080/10810730.2011.585696Google Scholar
Harman, H. (1976). Modern Factor Analysis: 3rd Edition. Chicago, IL: Chicago University Press.Google Scholar
Hoe, S. L. (2008). Issues and procedures in adopting structural equation modeling technique. Journal of Applied Quantitative Methods, 3 (1), 7683.Google Scholar
Hogg, M. A. (2003). Social Identity. In Leary, M. R. & Tangney, J. P. (Eds). Handbook of Self and Identity. Chapter 23. New York, NY: Guilford Press.Google Scholar
Hogg, M. A. & Reid, S. A. (2006). Social identity, Self-categorization and the communication of group norms. Communication Theory, 16, 730. doi:10.1111/j.1468-2885.2006.00003.xGoogle Scholar
Hughes, B., Joshi, I. & Wareham, J. (2008). Health 2.0 and medicine 2.0: Tensions and controversies in the field. Journal of Medical Internet Research, 10 (3), e23. doi:10.2196/jmir.1056CrossRefGoogle Scholar
Kobus, K. (2003). Peers and adolescent smoking. Addiction, 98 (s1), 3755. doi:10.1046/j.1360-0443.98.s1.4.xGoogle Scholar
Kontos, E. Z., Emmons, K. M., Puleo, E. & Viswanath, K. (2010). Communication inequalities and public health implications of adult social networking site use in the United States. Journal of Health Communication, 15 (3), 216235. doi:10.1080/10810730.2010.522689Google Scholar
Kollock, P. & Smith, M. (1996). Managing the virtual commons: Cooperation and conflict in computer communities. In Herring, S. C. (Ed.): Computer-Mediated Communication: Linguistic, Social, and Cross-Cultural Perspectives. pp. 109128. Amsterdam, Netherlands: John Benjamin.Google Scholar
McLaughlin, M. L., Osborne, K. K., and Smith, C. B. (1995). Standards of conduct on Usenet. In Jones, S. G. (Ed.): CyberSociety. pp. 90111. Thousand Oaks, CA: Sage Publications.Google Scholar
Miller, R. S. & Lefcourt, H. M. (1982). The assessment of social intimacy. Journal of Personality Assessment, 46 (5), 514518. doi:10.1207/s15327752jpa4605_12Google Scholar
Mo, P. K. H. & Coulson, N. S. (2010). Empowering processes in online support groups among people living with HIV/AIDS: A comparative analysis of ‘lurkers’ and ‘posters’. Computers in Human Behavior, 26 (5), 11831193. doi:10.1016/j.chb.2010.03.028Google Scholar
Norman, C. D., McIntosh, S., Selby, P. & Eysenbach, G. (2008). Web-assisted tobacco interventions: Empowering change in the global fight for the public's (e)health. Journal of Medical Internet Research, 10 (5), e1. doi:10.2196/jmir.1171Google Scholar
Papacharissi, Z. & Rubin, A. M. (2000). Predictors of internet use. Journal of Broadcasting & Electronic Media, 44 (2), 175196. doi:10.1207/s15506878jobem4402_2Google Scholar
Parks, R. M. & Floyd, K. (1996). Making friends in cyberspace. Journal of Computer-Mediated Communication, 1 (4). doi:10.1111/j.1083-6101.1996.tb00176.xGoogle Scholar
Preacher, K. J. & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40 (3), 879891. doi:10.3758/BRM.40.3.879Google Scholar
Preece, J., Nonnecke, B. & Andrews, D. (2004). The top five reasons for lurking: Improving community experiences for everyone. Computers in Human Behavior, 20 (2), 201223. doi:10.1016/j.chb.2003.10.015Google Scholar
Ramirez, A., Zhang, S., McGrew, C. & Lin, S. F. (2007). Relational communication in computer-mediated interaction revisited: A comparison of participant-observer perspectives. Communication Monographs, 74 (4), 492516. doi:10.1080/03637750701716586Google Scholar
Rau, P. L. P., Gao, Q. & Ding, Y. (2008). Relationship between the level of intimacy and lurking in online social network services. Computers in Human Behavior, 24, 27572770. doi:10.1016/j.chb.2008.04.001CrossRefGoogle Scholar
Reed, M. B., Lange, J. E., Ketchie, J. M. & Clapp, J. D. (2007). The relationship between social identity, normative information and college student drinking. Social Influence, 2 (4), 269294. doi:10.1080/15534510701476617Google Scholar
Schlosser, A. E. (2005). Posting versus lurking: Communicating in a multiple audience context. Journal of Consumer Research, 32 (2), 260265. doi:10.1086/432235Google Scholar
Stretcher, V. J., Shiffman, S. & West, R. (2005). Randomized controlled trial of a web-based computer-tailored smoking cessation program as a supplement to nicotine patch therapy. Addiction, 100 (5), 682688. doi:10.1111/j.1360-0443.2005.01093.xGoogle Scholar
Stoddard, J. L., Delucchi, K. L., Munoz, R. F., Collins, N. M., Perez-Stable, E. J. & Augustson, E. (2005). Smoking cessation research via the Internet: A feasibility study. Journal of Health Communication, 10 (1), 2741. doi:10.1080/10810730590904562Google Scholar
Tajfel, H. & Turner, J. C. (1986). The social identity theory of intergroup behavior. In Stapel, D. A. & H, H. Blanton (Eds). Social Comparison Theories: Key Readings in Social Psychology. New York, NY: Taylor & Francis.Google Scholar
Valkenburg, P. M., Peter, J. & Schouten, A. P. (2006). Friend networking sites and their relationship to adolescents well-being and social self-esteem. CyberPsychology & Behavior, 9 (5), 584590. doi:10.1089/cpb.2006.9.584Google Scholar
Van Uden-Kraan, C. F., 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 (2), e18. doi:10.2196/jmir.992Google Scholar
White, M. & Dorman, S. M. (2001). Receiving social support online: Implications for health education. Health Education Research, 16 (6), 693707. doi:10.1093/her/16.6.693Google Scholar
World Health Organization (2013). Media Center: Tobacco Fact Sheets. Retrieved from: http://www.who.int/mediacentre/factsheets/fs339/en/Google Scholar