Who Avoids Cancer Information? Examining a Psychological Process Leading to Cancer Information Avoidance

References

• Barbour, J. B., Rintamaki, L. S., Ramsey, J. A., & Brashers, D. E. (2012). Avoiding health information. Journal of Health Communication, 17, 212–229. doi:10.1080/10810730.2011.585691
   PubMed Web of Science ®Google Scholar
• Brashers, D. E. (2001). Communication and uncertainty management. Journal of Communication, 51, 477–497. doi:10.1111/jcom.2001.51.issue-3
   Web of Science ®Google Scholar
• Brashers, D. E., Neidig, J. L., Haas, S. M., Dobbs, L. K., Cardillo, L. W., & Russell, J. A. (2000). Communication in the management of uncertainty: The case of persons living with HIV or AIDS. Communication Monographs, 67, 63–84. doi:10.1080/03637750009376495
   Web of Science ®Google Scholar
• Buhrmester, M., Kwang, T., & Gosling, S. D. (2011). Amazon’s Mechanical Turk: A new source of inexpensive, yet high-quality, data? Perspectives on Psychological Science, 6, 3–5. doi:10.1177/1745691610393980
   PubMed Web of Science ®Google Scholar
• Callegaro, M., & DiSogra, C. (2008). Computing response metrics for online panels. Public Opinion Quarterly, 72, 1008–1032. doi:10.1093/poq/nfn065
   Web of Science ®Google Scholar
• Case, D. O., Andrews, J. E., Johnson, J. D., & Allard, S. L. (2005). Avoiding versus seeking: The relationship of information seeking to avoidance, blunting, coping, dissonance, and related concepts. Journal of the Medical Library Association, 93, 353–362.
   PubMed Web of Science ®Google Scholar
• Chae, J., Lee, C., & Jensen, J. D. (2016). Correlates of cancer Information overload: Focusing on individual ability and motivation. Health Communication, 31(5). 626–634.
   PubMed Web of Science ®Google Scholar
• Eppler, M. J., & Mengis, J. (2004). The concept of information overload: A review of literature from organization science, accounting, marketing, MIS, and related disciplines. The Information Society, 20, 325–344. doi:10.1080/01972240490507974
   Web of Science ®Google Scholar
• Festinger, L. (1957). A theory of cognitive dissonance. Stanford, CA: Stanford University Press.
   Google Scholar
• Griffin, R. J., Dunwoody, S., & Neuwirth, K. (1999). Proposed model of the relationship of risk information seeking and processing to the development of preventive behaviors. Environmental Research, 80, 230–245.
   PubMed Web of Science ®Google Scholar
• Hahn, D. W., Lee, C. H., & Chon, K. K. (1996). Korean adaptation of Spielberger’s STAI (K-STAI). Korean Journal of Health Psychology, 1, 1–14.
   Google Scholar
• Han, P. K., Kobrin, S. C., Klein, W. M., Davis, W. W., Stefanek, M., & Taplin, S. H. (2007). Perceived ambiguity about screening mammography recommendations: Association with future mammography uptake and perceptions. Cancer Epidemiology Biomarkers & Prevention, 16, 458–466. doi:10.1158/1055-9965.EPI-06-0533
   PubMed Web of Science ®Google Scholar
• Han, P. K., Moser, R. P., & Klein, W. M. (2006). Perceived ambiguity about cancer prevention recommendations: Relationship to perceptions of cancer preventability, risk, and worry. Journal of Health Communication, 11, 51–69. doi:10.1080/10810730600637541
   PubMed Web of Science ®Google Scholar
• Han, P. K., Moser, R. P., & Klein, W. M. (2007). Perceived ambiguity about cancer prevention recommendations: Associations with cancer-related perceptions and behaviors in a US population survey. Health Expectations, 10, 321–336. doi:10.1111/j.1369-7625.2007.00456.x
   PubMed Web of Science ®Google Scholar
• Han, P. K., Moser, R. P., Klein, W. M., Beckjord, E. B., Dunlavy, A. C., & Hesse, B. W. (2009). Predictors of perceived ambiguity about cancer prevention recommendations: Socio-demographic factors and mass media exposures. Health Communication, 24, 764–772. doi:10.1080/10410230903242242
   PubMed Web of Science ®Google Scholar
• Hayes, A. F. (2009). Beyond Baron and Kenny: Statistical mediation analysis in the new millennium. Communication Monographs, 76, 408–420. doi:10.1080/03637750903310360
   Web of Science ®Google Scholar
• Hayes, A. (2013). Introduction to mediation, moderation, and conditional process analysis. New York, NY: Guilford Press.
   Google Scholar
• Hornik, R., Parvanta, S., Mello, S., Freres, D., Kelly, B., & Schwartz, J. S. (2013). Effects of scanning (routine health information exposure) on cancer screening and prevention behaviors in the general population. Journal of Health Communication, 18, 1422–1435. doi:10.1080/10810730.2013.798381
   PubMed Web of Science ®Google Scholar
• Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55. doi:10.1080/10705519909540118
   Web of Science ®Google Scholar
• Jensen, J. D., Carcioppolo, N., King, A. J., Bernat, J. K., Davis, L., Yale, R., & Smith, J. (2011). Including limitations in news coverage of cancer research: Effects of news hedging on fatalism, medical skepticism, patient trust, and backlash. Journal of Health Communication, 16, 486–503. doi:10.1080/10810730.2010.546491
   PubMed Web of Science ®Google Scholar
• Jensen, J. D., Carcioppolo, N., King, A. J., Scherr, C. L., Jones, C. L., & Niederdeppe, J. (2014). The Cancer Information Overload (CIO) scale: Establishing predictive and discriminant validity. Patient Education and Counseling, 94, 90–96. doi:10.1016/j.pec.2013.09.016
   PubMed Web of Science ®Google Scholar
• Kahlor, L. (2010). PRISM: A planned risk information seeking model. Health Communication, 25(4), 345–356. doi:10.1080/10410231003775172
   PubMed Web of Science ®Google Scholar
• Kaphingst, K. A., Zanfini, C. J., & Emmons, K. M. (2006). Accessibility of web sites containing colorectal cancer information to adults with limited literacy (United States). Cancer Causes and Control, 17, 147–151. doi:10.1007/s10552-005-5116-3
   PubMed Web of Science ®Google Scholar
• Kelly, B., Hornik, R., Romantan, A., Schwartz, J. S., Armstrong, K., DeMichele, A., & Wong, N. (2010). Cancer information scanning and seeking in the general population. Journal of Health Communication, 15, 734–753. doi:10.1080/10810730.2010.514029
   PubMed Web of Science ®Google Scholar
• Kim, K., Lustria, M. L. A., Burke, D., & Kwon, N. (2007). Predictors of cancer information overload: Findings from a national survey. Information Research, 12(4). Retrieved from InformationR.net/ir/12-4/paper326.html
   Google Scholar
• Korean Statistical Information Service. (2016). Major indicators of Korea. Retrieved from http://kosis.kr/eng
   Google Scholar
• Lang, A. (2006). Using the limited capacity model of motivated mediated message processing to design effective cancer communication messages. Journal of Communication, 56, S57–S80. doi:10.1111/jcom.2006.56.issue-s1
   Web of Science ®Google Scholar
• Lee, C. J., Niederdeppe, J., & Freres, D. (2012). Socioeconomic disparities in fatalistic beliefs about cancer prevention and the Internet. Journal of Communication, 62, 972–990. doi:10.1111/j.1460-2466.2012.01683.x
   PubMed Web of Science ®Google Scholar
• MacLeod, C., & Rutherford, E. M. (1992). Anxiety and the selective processing of emotional information: Mediating roles of awareness, trait and state variables, and personal relevance of stimu. Behavior Research and Therapy, 30, 479–491. doi:10.1016/0005-7967(92)90032-C
   PubMed Web of Science ®Google Scholar
• Mathews, A. (1990). Why worry? The cognitive function of anxiety. Behavior Research and Therapy, 28, 455–468. doi:10.1016/0005-7967(90)90132-3
   PubMed Web of Science ®Google Scholar
• Miles, A., Voorwinden, S., Chapman, S., & Wardle, J. (2008). Psychologic predictors of cancer information avoidance among older adults: The role of cancer fear and fatalism. Cancer Epidemiology Biomarkers & Prevention, 17, 1872–1879. doi:10.1158/1055-9965.EPI-08-0074
   PubMed Web of Science ®Google Scholar
• National Cancer Center. (2012). 2010 national cancer registration statistics. Retrieved from http://www.cancer.go.kr/mbs/cancer/subview.jsp?id=cancer_040102000000
   Google Scholar
• Niederdeppe, J., Hornik, R. C., Kelly, B. J., Frosch, D. L., Romantan, A., Stevens, R. S., … Schwartz, J. S. (2007). Examining the dimensions of cancer-related information seeking and scanning behavior. Health Communication, 22, 153–167. doi:10.1080/10410230701454189
   PubMed Web of Science ®Google Scholar
• Niederdeppe, J., Lee, T., Robbins, R., Kim, H. K., Kresovich, A., Kirshenblat, D., & Fowler, E. F. (2014). Content and effects of news stories about uncertain cancer causes and preventive behaviors. Health Communication, 29, 332–346. doi:10.1080/10410236.2012.755603
   PubMed Web of Science ®Google Scholar
• Niederdeppe, J., & Levy, A. G. (2007). Fatalistic beliefs about cancer prevention and three prevention behaviors. Cancer Epidemiology Biomarkers & Prevention, 16, 998–1003.
   PubMed Web of Science ®Google Scholar
• Powe, B. D., & Finnie, R. (2003). Cancer fatalism: The state of the science. Cancer Nursing, 26, 454–467. doi:10.1097/00002820-200312000-00005
   PubMed Web of Science ®Google Scholar
• Rutten, L. J. F., Squiers, L., & Hesse, B. (2006). Cancer-related information seeking: Hints from the 2003 Health Information National Trends Survey (HINTS). Journal of Health Communication, 11(s1), 147–156. doi:10.1080/10810730600637574
   PubMed Web of Science ®Google Scholar
• Spielberger, C. D., Gorsuch, R. L., & Lushene, R. E. (1970). Manual for the State-Trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologists Press.
   Google Scholar
• Sweeny, K., Melnyk, D., Miller, W., & Shepperd, J. A. (2010). Information avoidance: Who, what, when, and why. Review of General Psychology, 14(4), 340–353. doi:10.1037/a0021288
   Web of Science ®Google Scholar
• U.S. Census Bureau. (2014). Data and statistics about the United States. Retrieved from https://www.usa.gov/statistics
   Google Scholar
• Witte, K. (1992). Putting the fear back into fear appeals: The extended parallel process model. Communication Monographs, 59, 225–249. doi:10.1080/03637759209376276
   Web of Science ®Google Scholar