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Original Articles

One does not fit all: Health audience segmentation and prediction of health behaviors in cancer prevention

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References

  • American Cancer Society. (2012). ACS guidelines on nutrition and physical activity for cancer prevention. Retrieved from http://www.cancer.org/acs/groups/cid/documents/webcontent/002577-pdf.pdf
  • American Cancer Society. (2014). Cancer facts & figures 2014. Retrieved from http://www.cancer.org/research/cancerfactsstatistics/cancerfactsfigures2014/index
  • Albarracin, D., & Vargas, P. (2010). Attitudes and persuasion: From biology to social responses to persuasive intent. In S. T. Fiske, D. T. Gilbert, & G. Lindzey (Eds.), The handbook of social psychology (pp. 394–427). Hoboken, NJ: John Wiley & Sons.
  • Aldenderfer, M. S., & Blashfield, R. (1984). Cluster analysis. Beverly Hills, CA: Sage.
  • Atkin, C. K., & Freimuth, V. (1989). Formative evaluation research in campaign design. In R. Rice & C. Atkin (Eds.), Public communication campaigns (pp. 131–150). Newbury Park, CA: Sage.
  • Balkrishnan, R., Dugan, E., Camacho, F. T., & Hall, M. A. (2003). Trust and satisfaction with physicians, insurers, and the medical profession. Medical Care, 41(9), 1058–1064. doi:10.1097/01.mlr.0000083743.15238.9f
  • Bond, G., & Brace, I. (1997). Segmenting by attitudes to TV advertising—eye opener or blind alley? Journal of the Market Research Society, 38(2), 481–508.
  • Boslaugh, S. E., Kreuter, M. W., Nicholson, R. A., & Naleid, K. (2005). Comparing demographic, health status and psychosocial strategies of audience segmentation to promote physical activity. Health Education Research, 20(4), 430–438. doi:10.1093/her/cyg138
  • Chew, F., Palmer, S., Slonska, Z., & Subbiah, K. (2002). Enhancing health knowledge, health beliefs, and health behavior in Poland through a health promoting television program series. Journal of Health Communication, 7(3), 179–196. doi:10.1080/10810730290088076
  • Czene, K., Lichtenstein, P., & Hemminki, K. (2002). Environmental and heritable causes of cancer among 9.6 million individuals in the Swedish family-cancer database. International Journal of Cancer, 99(2), 260–266. doi:10.1002/ijc.10332
  • Davis, J. L., Buchanan, K. L., & Green, B. L. (2013). Racial/ethnic differences in cancer prevention beliefs: Applying the health belief model framework. American Journal of Health Promotion, 27(6), 384–389. doi:10.4278/ajhp.120113-quan-15
  • Davis, T. C., Gazmararian, J., & Kennen, E. M. (2006). Approaches to improving health literacy: Lessons from the field. Journal of Health Communication, 11(6), 551–554. doi:10.1080/10810730600835517
  • Freeman, H. P. (1991). Race, poverty, and cancer. Journal of the National Cancer Institute, 83, 526–527. doi:10.1093/jnci/83.8.526
  • Friedenreich, C. M. (2001). Physical activity and cancer prevention: From observational to intervention research. Cancer Epidemiology Biomarkers & Prevention, 10(4), 287–301.
  • Gerend, M. A., & Shepherd, J. E. (2012). Predicting human papillomavirus vaccine uptake in young adult women: Comparing the health belief model and theory of planned behavior. Annals of Behavioral Medicine, 44(2), 171–180. doi:10.1007/s12160-012-9366-5
  • Janz, N. K., & Becker, M. H. (1984). The health belief model: A decade later. Health Education & Behavior, 11(1), 1–47. doi:10.1177/109019818401100101
  • Kreuter, M., & Holt, C. (2001). How do people process health information? Applications in an age of individualized communication. Causal Directions in Psychological Science, 10(6), 206–209. doi:10.1111/1467-8721.00150
  • Kreuter, M., Oswald, D., Bull, F., & Clark, E. (2000). Are tailored health education materials always more effective than non-tailored materials? Health Education Research, 15(3), 305–315. doi:10.1093/her/15.3.305
  • Kreuter, M., & Wray, R. (2003). Tailored and targeted health communication: Strategies for enhancing information relevance. American Journal of Health Behavior, 27, 227–232. doi:10.5993/ajhb.27.1.s3.6
  • Lee, C. J., Niederdeppe, J., & Freres, D. (2012). Socioeconomic disparities in fatalistic beliefs about cancer prevention and the Internet. Journal of Communication, 62(6), 972–990. doi:10.1111/j.1460-2466.2012.01683.x
  • Maibach, E., Weber, D., Massett, H., Hancock, G. R., & Price, S. (2006). Understanding consumers’ health information preferences: Development and validation of a brief screening instrument. Journal of Health Communication, 11, 717–736. doi:10.1080/10810730600934633
  • Maibach, E. W., Rothschild, M., & Novelli, W. (2002). Social marketing. In K. Glanz, B. Rimer, & F. M. Lewis (Eds.), Health behavior and health education: Theory, research, and practice (3rd ed., pp. 437–461). Indianapolis, IN: Jossey-Bass.
  • McGinnis, J. M., & Foege, W. H. (1993). Actual causes of death in the United States. Journal of the American Medical Association, 270(18), 2207–2212. doi:10.1001/jama.1993.03510180077038
  • Metzger, M. J., & Flanagin, A. J. (2011). Using Web 2.0 technologies to enhance evidence-based medical information. Journal of Health Communication, 16(1), 45–58. doi:10.1080/10810730.2011.589881
  • 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(4), 673–693. doi:10.1037/0033-2909.133.4.673
  • Nutbeam, D. (2008). The evolving concept of health literacy. Social Science & Medicine, 67(2), 2072–2078. doi:10.1016/j.socscimed.2008.09.050
  • Park, H., Rodgers, S., & Stemmle, J. (2013). Analyzing health organizations’ use of Twitter for promoting health literacy. Journal of Health Communication, 18(4), 410–425. doi:10.1080/10810730.2012.727956
  • Peltier, J. W., Schibrowsky, J. A., Schultz, D. E., & Davis, J. (2002). Interactive psychographics: Cross-selling in the bank industry. Journal of Advertising Research, 42(2), 7–22. doi:10.2501/jar-42-2-7-22
  • Powe, B., & Finnie, R. (2003). Cancer fatalism: the state of the science. Cancer Nursing, 26(6), 454–467. doi:10.1097/00002820-200312000-00005
  • Rains, S. A. (2007). Perceptions of traditional information sources and use of the World Wide Web to seek health information: Findings from the health information national trends survey. Journal of Health Communication, 12(7), 667–680. doi:10.1080/10810730701619992
  • Rodgers, S., Chen, Q., Duffy, M., & Fleming, K. (2007). Media usage as health segmentation variables. Journal of Health Communication, 12(2), 105–119. doi:10.1080/10810730601150064
  • Rose, R. L., Bearden, W. O., & Manning, K. C. (1996). Using individual differences to segment the “market” for an attribution-based substance abuse intervention program. Journal of Public Policy & Marketing, 15(2), 252–262.
  • Rosenstock, I. M. (1974). Historical origins of the health belief model. In M. H. Becker (Ed.), The health belief model and personal health behavior (pp. 1–8). Thorofare, NJ: Charles B. Slack.
  • Rosenstock, I. M., Strecher, V. J., & Becker, M. H. (1988). Social learning theory and the health belief model. Health Education Quarterly, 15(2), 175–183. doi:10.1177/109019818801500203
  • Self, C. (2009). Credibility. In D. W. Stacks & M. B. Salwen (Eds.), An integrated approach to communication theory and research (2nd ed., pp. 435–456). New York, NY: Routledge.
  • Slater, M. D. (1996). Theory and method in health audience segmentation. Journal of Health Communication, 1(3), 267–284. doi:10.1080/108107396128059
  • Slater, M. D., Basil, M. D., & Maibach, E. W. (1999). A cluster analysis of alcohol-related attitudes and behaviors in the general population. Journal of Studies on Alcohol, 60(5), 667–674. doi:10.15288/jsa.1999.60.667
  • Weinstein, A. (1987). Market segmentation. Chicago, IL: Probus Publishing.
  • Willett, W. C. (2002). Balancing life-style and genomics research for disease prevention. Science, 296, 695–698. doi:10.1126/science.1071055
  • World Cancer Research Fund. (2007). Food, nutrition, physical activity, and the prevention of cancer: A global perspective. Retrieved from http://health-equity.pitt.edu/868/.
  • Wolff, L. S., Massett, H. A., Maibach, E. W., Weber, D., Hassmiller, S., & Mockenhaupt, R. E. (2010). Validating a health consumer segmentation model: Behavioral and Attitudinal differences in disease prevention-related practices. Journal of Health Communication, 15(2), 167–188. doi:10.1080/10810730903528041
  • Ye, Y. (2011). Correlates of consumer trust in online information: Findings from the Health Information National Trends Survey. Journal of Health Communication, 16(1), 34–49. doi:10.1080/10810730.2010.529491
  • Zimmerman, R. S., & Vernberg, D. (1994). Models of preventive health behavior: Comparison critique and meta-analysis. Advances in Medical Sociology, 4, 45–67.

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