Friends over Doctors? The Influences of Source and Perceived Customization on College Drinking

References

• Arria, A. M., Caldeira, K. M., Vincent, K. B., Winick, E. R., Baron, R. A., & O’Grady, K. E. (2013). Discontinuous college enrollment: Associations with substance use and mental health. Psychiatric Services, 64, 165–172. doi:10.1176/appi.ps.201200106
   PubMed Web of Science ®Google Scholar
• Bernhardt, J. M., & Felter, E. M. (2004). Online pediatric information seeking among mothers of young children: Results from a qualitative study using focus groups. Journal of Medical Internet Research, 6, e7. doi:10.2196/jmir.6.1.e7
   PubMed Web of Science ®Google Scholar
• Berry, T. R., & Shields, C. (2014). Source attribution and credibility of health and appearance exercise advertisements: Relationship with implicit and explicit attitudes and intentions. Journal of Health Psychology, 19, 242–252. doi:10.1177/1359105312468190
   PubMed Web of Science ®Google Scholar
• Boiarsky, G., Rouner, D., & Long, M. (2013). Effects of responsibility attribution and message source on young adults’ health attitudes and behaviors. Journal of Health Communication, 18, 881–894. doi:10.1080/10810730.2012.757389
   PubMed Web of Science ®Google Scholar
• Borsari, B., & Carey, K. B. (2001). Peer influences on college drinking: A review of the research. Journal of Substance Abuse, 13, 391–424. doi:10.1016/S0899-3289(01)00098-0
   PubMedGoogle Scholar
• Carey, K. B., Scott‐Sheldon, L. A., Elliott, J. C., Bolles, J. R., & Carey, M. P. (2009). Computer‐delivered interventions to reduce college student drinking: A meta‐analysis. Addiction, 104, 1807–1819. doi:10.1111/j.1360-0443.2009.02691.x
   PubMed Web of Science ®Google Scholar
• Chaiken, S., & Maheswaran, D. (1994). Heuristic processing can bias systematic processing: Effects of source credibility, argument ambiguity, and task importance on attitude judgment. Journal of Personality and Social Psychology, 66, 460. doi:10.1037/0022-3514.66.3.460
   PubMed Web of Science ®Google Scholar
• Cronce, J. M., Toomey, T. L., Lenk, K., Nelson, T. F., Kilmer, J. R., & Larimer, M. E. (2018). NIAAA’s College alcohol intervention matrix: CollegeAIM. Alcohol Research: Current Reviews, 39, 43.
   PubMed Web of Science ®Google Scholar
• Davidson, L., Bellamy, C., Guy, K., & Miller, R. (2012). Peer support among persons with severe mental illnesses: A review of evidence and experience. World Psychiatry, 11, 123–128. doi:10.1016/j.wpsyc.2012.05.009
   PubMed Web of Science ®Google Scholar
• Eastin, M. S. (2001). Credibility assessments of online health information: The effects of source expertise and knowledge of content. Journal of Computer-Mediated Communication, 6, JCMC643.
   Google Scholar
• Eysenbach, G., Powell, J., Kuss, O., & Sa, E. R. (2002). Empirical studies assessing the quality of health information for consumers on the world wide web: A systematic review. JAMA: the Journal of the American Medical Association, 287, 2691–2700. doi:10.1001/jama.287.20.2691
   PubMed Web of Science ®Google Scholar
• Fox, S., & Duggan, M. (2013). Health online 2013 [PDF file] Retrieved from http://bibliobase.sermais.pt:8008/BiblioNET/Upload/PDF5/003820.pdf
   Google Scholar
• Gulliver, A., Banfield, M., Reynolds, J., Miller, S., Galati, C., & Morse, A. R. (2017). A peer-led electronic mental health recovery app in an adult mental health service: Study protocol for a pilot trial. JMIR Research Protocols, 6, e248. doi:10.2196/resprot.8795
   PubMed Web of Science ®Google Scholar
• Hawkins, R. P., Kreuter, M., Resnicow, K., Fishbein, M., & Dijkstra, A. (2008). Understanding tailoring in communicating about health. Health Education Research, 23, 454–466. doi:10.1093/her/cyn004
   PubMed Web of Science ®Google Scholar
• Head, K. J., Noar, S. M., Iannarino, N. T., & Harrington, N. G. (2013). Efficacy of text messaging-based interventions for health promotion: A meta-analysis. Social Science & Medicine, 97, 41–48. doi:10.1016/j.socscimed.2013.08.003
   PubMed Web of Science ®Google Scholar
• Hingson, R. W., Zha, W., & Weitzman, E. R. (2009). Magnitude of and trends in alcohol-related mortality and morbidity among U.S. college students ages 18–24, 1998–2005. Journal of Studies on Alcohol and Drugs Supplement, 16, 12–20. doi:10.15288/jsads.2009.s16.12
   PubMedGoogle Scholar
• Hu, Y., & Sundar, S. (2010). Effects of online health sources on credibility and behavioral intentions. Communication Research, 37, 105–132. doi:10.1177/0093650209351512
   Web of Science ®Google Scholar
• Johnson, D., & Grayson, K. (2005). Cognitive and affective trust in service relationships. Journal of Business Research, 58(4), 500–507.
   Web of Science ®Google Scholar
• Jones, L. W., Sinclair, R. C., & Courneya, K. S. (2003). The effects of source credibility and message framing on exercise intentions, behaviors, and attitudes: An integration of the elaboration likelihood model and prospect theory 1. Journal of Applied Social Psychology, 33, 179–196. doi:10.1111/jasp.2003.33.issue-1
   Web of Science ®Google Scholar
• Kang, H., & Lee, M. J. (2018). Designing anti-binge drinking prevention messages: Message framing vs. evidence type. Health Communication, 33, 1494–1502. doi:10.1080/10410236.2017.1372046
   PubMed Web of Science ®Google Scholar
• Kang, H., & Sundar, S. S. (2016). When self is the source: Effects of media customization on message processing. Media Psychology, 19, 561–588. doi:10.1080/15213269.2015.1121829
   Web of Science ®Google Scholar
• Kim, K. J., & Sundar, S. S. (2016). Mobile persuasion: Can screen size and presentation mode make a difference to trust? Human Communication Research, 42(1), 45–70.
   Web of Science ®Google Scholar
• Kreuter, M. W., Bull, F. C., Clark, E. M., & Oswald, D. L. (1999). Understanding how people process health information: A comparison of tailored and nontailored weight-loss materials. Health Psychology, 18, 487. doi:10.1037/0278-6133.18.5.487
   PubMed Web of Science ®Google Scholar
• Kreuter, M. W., Farrell, D. W., Olevitch, L. R., & Brennan, L. K. (2013). Tailoring health messages: Customizing communication with computer technology. New York, NY: Routledge.
   Google Scholar
• Lee, J. Y., & Sundar, S. S. (2013). To tweet or to retweet? That is the question for health professionals on Twitter. Health Communication, 28, 509–524. doi:10.1080/10410236.2012.700391
   PubMed Web of Science ®Google Scholar
• Leung, R. K., Toumbourou, J. W., & Hemphill, S. A. (2014). The effect of peer influence and selection processes on adolescent alcohol use: A systematic review of longitudinal studies. Health Psychology Review, 8, 426–457. doi:10.1080/17437199.2011.587961
   PubMed Web of Science ®Google Scholar
• Lewis, J. D., & Weigert, A. (1985). Trust as a social reality. Social Forces, 63, 967–985. doi:10.2307/2578601
   Web of Science ®Google Scholar
• Lustria, M. L. A., Noar, S. M., Cortese, J., Van Stee, S. K., Glueckauf, R. L., & Lee, J. (2013). A meta-analysis of web-delivered tailored health behavior change interventions. Journal of Health Communication, 18, 1039–1069. doi:10.1080/10810730.2013.768727
   PubMed Web of Science ®Google Scholar
• Maisto, S. A., Carey, K. B., & Bradizza, C. M. (1999). Social Learning Theory. Psychological Theories of Drinking and Alcoholism, 2, 106–163.
   Google Scholar
• Metzger, M. J., Flanagin, A. J., & Medders, R. B. (2010). Social and heuristic approaches to credibility evaluation online. Journal of Communication, 60, 413–439. doi:10.1111/jcom.2010.60.issue-3
   Web of Science ®Google Scholar
• Mørch, A. (1997). Three levels of end-user tailoring: Customization, integration, and extension. In M. Kyng & L. Mathiassen (Eds.), Computers and design in context (pp. 51–76). Cambridge, MA: The MIT Press.
   Google Scholar
• National Institute on Alcohol Abuse and Alcoholism (NIAAA). (2007). What colleges need to know now: An update on college drinking research [PDF file]. Retrieved from https://pubs.niaaa.nih.gov/publications/UpdateCollegeDrinking/1College_Bulletin-508_361C4E.pdf
   Google Scholar
• National Institute on Alcohol Abuse and Alcoholism (NIAAA). (2013). College drinking. Retrieved from http://www.niaaa.nih.gov/alcohol-health/special-populations-co-occurring-disorders/college-drinking
   Google Scholar
• Nelson, T. F., Toomey, T. L., Lenk, K. M., Erickson, D. J., & Winters, K. C. (2010). Implementation of NIAAA college drinking task force recommendations: How are colleges doing 6 years later? Alcoholism: Clinical and Experimental Research, 34, 1687–1693. doi:10.1111/acer.2010.34.issue-10.
   PubMed Web of Science ®Google Scholar
• Niu, Z., Jeong, D. C., Coups, E. J., & Stapleton, J. L. (2019). An experimental investigation of human presence and mobile technologies on college students’ sun protection intentions: Between-subjects study. JMIR mHealth and uHealth, 7, e13720. doi:10.2196/13720.
   PubMed Web of Science ®Google Scholar
• Noar, S. M., Harrington, N. G., & Aldrich, R. S. (2009). The role of computer tailoring in the development of persuasive health communication messages. In C. S. Beck (Ed.), Communication yearbook (pp. 93–154). New York, NY: Routledge.
   Google Scholar
• Noar, S. M., Benac, C. N., & Harris, M. S. (2007). Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. Psychological Bulletin, 133, 673. doi:10.1037/0033-2909.133.4.673.
   PubMed Web of Science ®Google Scholar
• Oesterle, S., Hill, K. G., Hawkins, J. D., Guo, J. I. E., Catalano, R. F., & Abbott, R. D. (2004). Adolescent heavy episodic drinking trajectories and health in young adulthood. Journal of Studies on Alcohol, 65, 204–212. doi:10.15288/jsa.2004.65.204
   PubMed Web of Science ®Google Scholar
• Pornpitakpan, C. (2004). The persuasiveness of source credibility: A critical review of five decades’ evidence. Journal of Applied Social Psychology, 34, 243–281. doi:10.1111/jasp.2004.34.issue-2
   Web of Science ®Google Scholar
• Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007). Addressing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate Behavioral Research, 42(1), 185–227.
   PubMed Web of Science ®Google Scholar
• Reinhard, M. A., & Sporer, S. L. (2010). Content versus source cue information as a basis for credibility judgments. Social Psychology, 41, 93–104. doi:10.1027/1864-9335/a000014
   Web of Science ®Google Scholar
• Repper, J., & Carter, T. (2011). A review of the literature on peer support in mental health services. Journal of Mental Health, 20, 392–411. doi:10.3109/09638237.2011.583947
   PubMed Web of Science ®Google Scholar
• Room, R., Ferris, J., Laslett, A. M., Livingston, M., Mugavin, J., & Wilkinson, C. (2010). The drinker’s effect on the social environment: A conceptual framework for studying alcohol’s harm to others. International Journal of Environmental Research and Public Health, 7, 1855–1871. doi:10.3390/ijerph7041855
   PubMed Web of Science ®Google Scholar
• Schultz, P. W., Tabanico, J., & Rendón, T. (2008). Normative beliefs as agents of influence: Basic processes and real-world applications. In W. D. Crano & R. Prislin (Eds.), Attitudes and attitude change (pp. 385–409). New York, NY: Psychology Press.
   Google Scholar
• Soh, H., Reid, L. N., & King, K. W. (2009). Measuring trust in advertising. Journal of Advertising, 38, 83–104. doi:10.2753/JOA0091-3367380206
   Web of Science ®Google Scholar
• Stavrositu, C., & Sundar, S. S. (2012). Does blogging empower women? Exploring the role of agency and community. Journal of Computer‐Mediated Communication, 17, 369–386. doi:10.1111/j.1083-6101.2012.01587.x
   Web of Science ®Google Scholar
• Sundar, S. S. (2000). Multimedia effects on processing and perception of online news: A study of picture, audio, and video downloads. Journalism & Mass Communication Quarterly, 77(3), 480–499.
   Web of Science ®Google Scholar
• Sundar, S. S. (2008). Self as source: Agency and customization in interactive media. In A. Elly, E. A. Konijn, S. Utz, M. Tanis, & S. B. Barnes (Eds.), Mediated interpersonal communication (pp. 72–88). New York, NY: Routledge.
   Google Scholar
• Sundar, S. S., & Marathe, S. S. (2010). Personalization versus customization: The importance of agency, privacy, and power usage. Human Communication Research, 36, 298–322. doi:10.1111/hcre.2010.36.issue-3
   Web of Science ®Google Scholar
• Sundar, S. S., & Nass, C. (2001). Conceptualizing sources in online news. Journal of Communication, 51, 52–72. doi:10.1111/jcom.2001.51.issue-1
   Web of Science ®Google Scholar
• Sundar, S. S., Xu, Q., & Oeldorf-Hirsch, A. (2009, April). Authority vs. peer: How interface cues influence users. In CHI’09 extended abstracts on human factors in computing systems (pp. 4231–4236). ACM. doi:10.1145/1520340.1520645
   Google Scholar
• Wang, Z., Walther, J. B., Pingree, S., & Hawkins, R. P. (2008). Health information, credibility, homophily, and influence via the Internet: Web sites versus discussion groups. Health Communication, 23, 358–368. doi:10.1080/10410230802229738
   PubMed Web of Science ®Google Scholar
• Willoughby, J. F., & L’Engle, K. L. (2015). Influence of perceived interactivity of a sexual health text message service on young people’s attitudes, satisfaction and repeat use. Health Education Research, 30, 996–1003. doi:10.1093/her/cyv056
   PubMed Web of Science ®Google Scholar
• Yang, Q., & Beatty, M. (2016). A meta-analytic review of health information credibility: Belief in physicians or belief in peers? Health Information Management Journal, 45, 80–89. doi:10.1177/1833358316639432.
   Web of Science ®Google Scholar