References
- American Diabetes Association. (2016). Classification and diagnosis of diabetes. Diabetes Care, 39, S13–S22. doi:https://doi.org/10.2337/dc16-S005
- Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84, 191–215. doi:https://doi.org/10.1037/0033-295X.84.2.191
- Bang, H., Edwards, A. M., Bomback, A. S., Ballantyne, C. M., Brillon, D., Callahan, M. A., & Kern, L. M. (2009). Development and validation of a patient self-assessment score for diabetes risk. Annals of Internal Medicine, 151, 775–783. doi:https://doi.org/10.7326/0003-4819-151-11-200912010-00005
- Centers for Disease Control and Prevention. (2014). National diabetes statistics report, 2014. Retrieved from https://www.cdc.gov/diabetes/data/statistics/2014statisticsreport.html
- Centers for Disease Control and Prevention. (2017). The surprising truth about diabetes. Retrieved from https://www.cdc.gov/features/diabetesprevention/index.html
- Dillard, J. P., & Shen, L. (2005). On the nature of reactance and its role in persuasive health communication. Communication Monographs, 72, 144–168. doi:https://doi.org/10.1080/03637750500111815
- Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. doi:https://doi.org/10.1080/10705519909540118
- Kreuter, M. W., Strecher, V. J., & Glassman, B. (1999). One size does not fit all: The case for tailoring print materials. Annals of Behavioral Medicine, 21, 276–283. doi:https://doi.org/10.1007/BF02895958
- 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, 673–693. doi:https://doi.org/10.1037/0033-2909.133.4.673
- Noar, S. M., Harrington, N. G., & Aldrich, R. S. (2009). The role of message tailoring in the development of persuasive health communication messages. Annals of the International Communication Association, 33, 73–133. doi:https://doi.org/10.1080/23808985.2009.11679085
- Pask, E. B., & Rawlins, S. T. (2016). Men’s intentions to engage in behaviors to protect against human papillomavirus (HPV): Testing the risk perception attitude framework. Health Communication, 31, 139–149. doi:https://doi.org/10.1080/10410236.2014.940670
- Rimal, R. N., Böse, K., Brown, J., Mkandawire, G., & Folda, L. (2009). Extending the purview of the risk perception attitude framework: Findings from HIV/AIDS prevention research in Malawi. Health Communication, 24, 210–218. doi:https://doi.org/10.1080/10410230902804109
- Rimal, R. N., Brown, J., Mkandawire, G., Folda, L., Böse, K., & Creel, A. H. (2009). Audience segmentation as a social-marketing tool in health promotion: Use of the risk perception attitude framework in HIV prevention in Malawi. American Journal of Public Health, 99, 2224–2229. doi:https://doi.org/10.2105/AJPH.2008.155234
- Rimal, R. N., & Juon, H. S. (2010). Use of the risk perception attitude framework for promoting breast cancer prevention. Journal of Applied Social Psychology, 40, 287–310. doi:https://doi.org/10.1080/10410236.2014.940670
- Rimal, R. N., & Real, K. (2003). Perceived risk and efficacy beliefs as motivators of change: Use of the risk perception attitude (RPA) framework to understand health behaviors. Human Communication Research, 29, 370–399. doi:https://doi.org/10.1111/j.1468-2958.2003.tb00844.x
- Rosenstock, I. M. (1974). The health belief model of preventative health behavior. Health Education & Behavior, 2, 354–386. doi:https://doi.org/10.1177/109019817400200405
- Rosenthal, R., & Rosnow, R. L. (1985). Contrast analysis: Focused comparisons in the analysis of variance. Cambridge, England: Cambridge University Press.
- Sullivan, H. W., Beckjord, E. B., Finney Rutten, L. J., & Hesse, B. W. (2008). Nutrition-related cancer prevention cognitions and behavioral intentions: Testing the risk perception attitude framework. Health Education & Behavior, 35, 866–879. doi:https://doi.org/10.1177/1090198108326164
- Turner, M. M., Rimal, R. N., Morrison, D., & Kim, H. (2006). The role of anxiety in processing risk information: Testing the risk perception attitude framework in two studies. Human Communication Research, 32, 130–156. doi:https://doi.org/10.1111/j.1468-2958.2006.00006.x
- Witte, K. (1992). Putting the fear back into fear appeals: The extended parallel process model. Communication Monographs, 59, 329–349. doi:https://doi.org/10.1080/03637759209376276