How do cancer risk perception, benefit perception of quitting, and cancer worry influence quitting intention among current smokers: A study using the 2013 HINTS

References

• Barlow, D. H. (1988). Anxiety and its Disorders: The Nature and Treatment of Anxiety and Panic. New York, NY, US: Guilford Press.
   Google Scholar
• Cameron, L. D., & Reeve, J. (2006). Risk perceptions, worry, and attitudes about genetic testing for breast cancer susceptibility. Psychology & Health, 21(2), 211–230.
   PubMed Web of Science ®Google Scholar
• CDC. (2014). Morbidity and mortality weekly report (MMWR), current cigarette smoking among adults—United States, 2005–2013. Available from http://www.cdc.gov/mmwr/preview/mmwrhtml/mm6347a4.htm?s_cid=mm6347a4_w
   Google Scholar
• Chen, Y., & Feeley, T. H. (2014). Numeracy, information-seeking and self-efficacy in managing health: An analysis using the 2007 Health Information National Trends Survey (HINTS). Health Communication, 29(9), 843–853.
   PubMed Web of Science ®Google Scholar
• Chen, Y., & Feeley, T. H. (2015). Predicting binge drinking in college students: Rational beliefs, stress, or loneliness? Journal of Drug Education, 45(3–4), 133–155.
   PubMedGoogle Scholar
• Chen, Y., & Yang, Z. J. (2015). Message formats, numeracy, risk perceptions of alcohol-attributable cancer, and intentions for binge drinking among college students. Journal of Drug Education, 45(1), 37–55.
   PubMedGoogle Scholar
• Dormann, C. F., Elith, J., Bacher, S., Buchmann, C., Carl, G., Carré, G., … Lautenbach, S. (2013). Collinearity: A review of methods to deal with it and a simulation study evaluating their performance. Ecography, 36(1), 27–46.
   Web of Science ®Google Scholar
• Dunlop, S. M., & Romer, D. (2010). Relation between newspaper coverage of ‘light’ cigarette litigation and beliefs about ‘lights’ among American adolescents and young adults: The impact on risk perceptions and quitting intentions. Tobacco Control: An International Journal, 19(4), 267–273.
   PubMed Web of Science ®Google Scholar
• Ferrer, R. A., Bergman, H. E., & Klein, W. M. P. (2013). Worry as a predictor of nutrition behaviors: Results from a nationally representative survey. Health Education & Behavior, 40(1), 88–96.
   PubMed Web of Science ®Google Scholar
• Finucane, M. L., Alhakami, A., Slovic, P., & Johnson, S. M. (2000). The affect heuristic in judgments of risks and benefits. Journal of Behavioral Decision Making, 13(1), 1–17.
   Web of Science ®Google Scholar
• Fishbein, M., & Ajzen, I. (2010). Predicting and Changing Behavior: The Reasoned Action Approach. New York: Psychology Press.
   Google Scholar
• Gerend, M. A., & Cullen, M. (2008). Effects of message framing and temporal context on college student drinking behavior. Journal of Experimental Social Psychology, 44(4), 1167–1173.
   Web of Science ®Google Scholar
• Gibbons, A., & Groarke, A. (2015). Can risk and illness perceptions predict breast cancer worry in healthy women? Journal of Health Psychology, Epub ahead of print 23 Feb 2015.
   Google Scholar
• Green, L., Myerson, J., Lichtman, D., Rosen, S., & Fry, A. (1996). Temporal discounting in choice between delayed rewards: The role of age and income. Psychology and Aging, 11(1), 79–84.
   PubMed Web of Science ®Google Scholar
• Janssen, E., Waters, E. A., van Osch, L., Lechner, L., & de Vries, H. (2014). The importance of affectively-laden beliefs about health risks: The case of tobacco use and sun protection. Journal of Behavioral Medicine, 37, 11–21.
   PubMed Web of Science ®Google Scholar
• Kaufman, A. R., Waters, E. A., Parascandola, M., Augustson, E. M., Bansal-Travers, M., Hyland, A., & Cummings, K. M. (2011). Food and Drug Administration evaluation and cigarette smoking risk perceptions. American Journal of Health Behavior, 35(6), 766–776.
   PubMed Web of Science ®Google Scholar
• Loewenstein, G. F., Weber, E. U., Hsee, C. K., & Welch, N. (2001). Risk as feelings. Psychological Bulletin, 127(2), 267–286.
   PubMed Web of Science ®Google Scholar
• MacKinnon, D. P., Lockwood, C. M., & Williams, J. (2004). Confidence limits for the indirect effect: Distribution of the product and resampling methods. Multivariate Behavioral Research, 39(1), 99–128.
   PubMed Web of Science ®Google Scholar
• McDonald, R. P., & Ho, M.-H. R. (2002). Principles and practice in reporting structural equation analyses. Psychological Methods, 7(1), 64–82.
   PubMed Web of Science ®Google Scholar
• McKee, S. A., O’Malley, S. S., Salovey, P., Krishnan-Sarin, S., & Mazure, C. M. (2005). Perceived risks and benefits of smoking cessation: Gender-specific predictors of motivation and treatment outcome. Addictive Behaviors, 30(3), 423–435.
   PubMed Web of Science ®Google Scholar
• National Cancer Institute. (2013). Health Information National Trends Survey (HINTS) 2013 Dataset [Data file, code book, and user’s directions]. Retrieved from http://hints.cancer.gov/
   Google Scholar
• Peipins, L. A., McCarty, F., Hawkins, N. A., Rodriguez, J. L., Scholl, L. E., & Leadbetter, S. (2015). Cognitive and affective influences on perceived risk of ovarian cancer. Psycho-Oncology 24(3), 279–286.
   Google Scholar
• Preacher, K. J., & Hayes, A. F. (2008). Contemporary approaches to assessing mediation in communication research. In A. F. Hayes, M. D. Slater & L. B. Snyder (Eds.), The Sage Sourcebook of Advanced Data Analysis Methods for Communication Research (pp. 13–54). Thousand Oaks, CA: Sage.
   Google Scholar
• Quit Victoria (2016). Smoking causes 16 types of cancer. Retrieved from http://www.quit.org.au/reasons-to-quit/health-risks-of-smoking/16-cancers
   Google Scholar
• Rosenstock, I. M. (1974). Historical origins of the health belief model. Health Education Monographs, 2, 328–335.
   Google Scholar
• Schreiber, J. B., Nora, A., Stage, F. K., Barlow, E. A., & King, J. (2006). Reporting structural equation modeling and confirmatory factor analysis results: A review. Journal of Educational Research, 99(6), 323–337.
   Web of Science ®Google Scholar
• Senay, I., Hensley-Alford, S., & Kaphingst, K. A. (2013). Judging risk for multiple diseases: The role of disease worry. Journal of Health Psychology, 18(4), 554–560.
   PubMed Web of Science ®Google Scholar
• Slovic, P., Finucane, M. L., Peters, E., & MacGregor, D. G. (2004). Risk as analysis and risk as feelings: Some thoughts about affect, reason, risk, and rationality. Risk Analysis, 24(2), 311–322.
   PubMed Web of Science ®Google Scholar
• Song, H., Kim, J., & Kim, S.-Y. (2014). Smoker identity among social smokers: Theory-based approaches for anti-smoking interventions. Journal of Substance Use, 19(5), 346–350.
   Web of Science ®Google Scholar
• Thomas, B., Mimiaga, M. J., Mayer, K. H., Closson, E. F., Johnson, C. V., Menon, S., … Safren, S. A. (2012). Ensuring it works: A community-based approach to HIV prevention intervention development for men who have sex with men in Chennai, India. AIDS Education and Prevention, 24(6), 483–499.
   PubMed Web of Science ®Google Scholar
• US Department of Health and Human Services (US DHHS), (2014). The health consequences of smoking—50 years of progress: a report of the Surgeon General. Atlanta, GA.
   Google Scholar
• Yong, H.-H., Borland, R., Thrasher, J. F., Thompson, M. E., Nagelhout, G. E., Fong, G. T., … Cummings, K. M. (2014). Mediational pathways of the impact of cigarette warning labels on quit attempts. Health Psychology, 33(11), 1410–1420.
   PubMed Web of Science ®Google Scholar