Prevalence, Predictors, and Psychosocial Mechanism of Cancer Information Avoidance: Findings from a National Survey of U.S. Adults

References

• Anderson, E. S., Wojcik, J. R., Winett, R. A., & Williams, D. M. (2006). Social-cognitive determinants of physical activity: The influence of social support, self-efficacy, outcome expectations, and self-regulation among participants in a church-based health promotion study. Health Psychology, 25, 510–520. doi:10.1037/0278-6133.25.4.510
   PubMed Web of Science ®Google Scholar
• Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall.
   Google Scholar
• 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:10.1093/joc/51.3.477
   Web of Science ®Google Scholar
• Brashers, D. E., Neidig, J. L., & Goldsmith, D. J. (2004). Social support and the management of uncertainty for people living with HIV or AIDS. Health Communication, 16, 305–331. doi:10.1207/S15327027HC1603_3
   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. (2016). Who avoids cancer information? Examining a psychological process leading to cancer information avoidance. Journal of Health Communication, 21, 837–844. doi:10.1080/10810730.2016.1177144
   PubMed Web of Science ®Google Scholar
• Chae, J., Lee, C.-J., & Jensen, J. D. (2016). Correlates of cancer information overload: Focusing on individual ability and motivation. Health Communication, 31, 626–634. doi:10.1080/10410236.2014.986026
   PubMed Web of Science ®Google Scholar
• Chang, L., & Krosnick, J. A. (2009). National surveys via RDD telephone interviewing versus the Internet: Comparing sample representativeness and response quality. Public Opinion Quarterly, 73, 641–678. doi:10.1093/poq/nfp075
   Web of Science ®Google Scholar
• Cohen, S., & Wills, T. A. (1985). Stress, social support, and the buffering hypothesis. Psychological Bulletin, 98, 310–357. doi:10.1037/0033-2909.98.2.310
   PubMed Web of Science ®Google Scholar
• Dehghan, M., Akhtar-Danesh, N., & Merchant, A. T. (2011). Factors associated with fruit And vegetable consumption among adults. Journal of Human Nutrition and Dietetics, 24, 128–134. doi:10.1111/j.1365-277X.2010.01142.x
   PubMed Web of Science ®Google Scholar
• Ding, D., Maibach, E. W., Zhao, X., Roser-Renouf, C., & Leiserowitz, A. (2011). Support for climate policy and societal action are linked to perceptions about scientific agreement. Nature Climate Change, 1, 462–466. doi:10.1038/nclimate1295
   Web of Science ®Google Scholar
• Diviani, N., van Den Putte, B., Giani, S., & van Weert, J. C. (2015). Low health literacy and evaluation of online health information: A systematic review of the literature. Journal of Medical Internet Research, 17(5). doi:10.2196/jmir.4018
   PubMed Web of Science ®Google Scholar
• Dutta-Bergman, M. J. (2004). Primary sources of health information: Comparisons in the domain of health attitudes, health cognitions, and health behaviors. Health Communication, 16, 273–288. doi:10.1207/s15327027hc1603_1
   PubMed Web of Science ®Google Scholar
• Emanuel, A. S., Kiviniemi, M. T., Howell, J. L., Hay, J. L., Waters, E. A., Orom, H., & Shepperd, J. A. (2015). Avoiding cancer risk information. Social Science & Medicine, 147, 113–120. doi:10.1016/j.socscimed.2015.10.058
   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. Information Society, 20, 325–344. doi:10.1080/01972240490507974
   Web of Science ®Google Scholar
• Field, A. (2009). Discovering statistics using SPSS. London, UK: SAGE.
   Google Scholar
• GFK. (2017). Government and academic research. Retrieved from www.knowledgenetworks.com/ganp
   Google Scholar
• Greco, V., & Roger, D. (2003). Uncertainty, stress, and health. Personality and Individual Differences, 34, 1057–1068. doi:10.1016/S0191-8869(02)00091-0
   Web of Science ®Google Scholar
• Hayes, A. (2013). Introduction to mediation, moderation, and conditional process analysis. New York, NY: Guilford Press.
   Google Scholar
• Hong, S. J., & You, K. H. (2016). The effects of experienced uncertainty and patients’ assessments of cancer-related information-seeking experiences on fatalistic beliefs and trust in physicians. Health Communication, 31, 1495–1505. doi:10.1080/10410236.2015.1089399
   PubMed Web of Science ®Google Scholar
• Howell, J. L., Crosier, B. S., & Shepperd, J. A. (2014). Does lacking threat-management resources increase information avoidance? A multi-sample, multi-method investigation. Journal of Research in Personality, 50, 102–109. doi:10.1016/j.jrp.2014.03.003
   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: A Multidisciplinary Journal, 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
• Keeley, B., Wright, L., & Condit, C. M. (2009). Functions of health fatalism: Fatalistic talk as face saving, uncertainty management, stress relief and sense making. Sociology of Health & Illness, 31, 734–747. doi:10.1111/j.1467-9566.2009.01164.x
   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
• Lang, A. (2006). Using the limited capacity model of motivated mediated message processing to design effective cancer communication messages. Journal of Communication, 56(s1), S57–S80. doi:10.1111/j.1460-2466.2006.00283.x
   Web of Science ®Google Scholar
• Lee, C.-J., & Chae, J. (2016). An initial look at the associations of a variety of health- related online activities with cancer fatalism. Health Communication, 31, 1375–1384. doi:10.1080/10410236.2015.1072885
   PubMed 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
• McCloud, R. F., Jung, M., Gray, S. W., & Viswanath, K. (2013). Class, race and ethnicity and information avoidance among cancer survivors. British Journal of Cancer, 108, 1949–1956. doi:10.1038/bjc.2013.182
   PubMed Web of Science ®Google Scholar
• McKinley, C. J., & Wright, P. J. (2014). Informational social support and online health information seeking: Examining the association between factors contributing to healthy eating behavior. Computers in Human Behavior, 37, 107–116. doi:10.1016/j.chb.2014.04.023
   Web of Science ®Google Scholar
• McPherson, M., Smith-Lovin, L., & Brashears, M. E. (2006). Social isolation in America: Changes in core discussion networks over two decades. American Sociological Review, 71, 353–375. doi:10.1177/000312240607100301
   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
• Mishel, M. H. (1988). Uncertainty in illness. Journal of Nursing Scholarship, 20, 225–232. doi:10.1111/j.1547-5069.1988.tb00082.x
   Google Scholar
• Moorman, C., & Matulich, E. (1993). A model of consumers’ preventive health behaviors: The role of health motivation and health ability. Journal of Consumer Research, 20, 208–228. doi:10.1086/209344
   Web of Science ®Google Scholar
• Moser, R. P., Arndt, J., Han, P. K., Waters, E. A., Amsellem, M., & Hesse, B. W. (2014). Perceptions of cancer as a death sentence: Prevalence and consequences. Journal of Health Psychology, 19, 1518–1524. doi:10.1177/1359105313494924
   PubMed Web of Science ®Google Scholar
• Percheski, C., & Hargittai, E. (2011). Health information-seeking in the digital age. Journal of American College Health, 59, 379–386. doi:10.1080/07448481.2010.513406
   PubMed Web of Science ®Google Scholar
• Powe, B. D. (1995). Fatalism among elderly African Americans. Effects on colorectal cancer screening. Cancer Nursing, 18, 385–392.
   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
• Prestin, A., Vieux, S., & Chou, W. Y. S. (2015). Is online health activity alive and well or flatlining? Findings from 10 years of the Health Information National Trends Survey. Journal of Health Communication, 20, 790–798. doi:10.1080/10810730.2015.1018590
   PubMed Web of Science ®Google Scholar
• Rutten, L. J. F., Agunwamba, A. A., Wilson, P., Chawla, N., Vieux, S., Blanch-Hartigan, D., … Hesse, B. W. (2016). Cancer-related information seeking among cancer survivors: Trends over a decade (2003–2013). Journal of Cancer Education, 31, 348–357. doi:10.1007/s13187-015-0802-7
   PubMed Web of Science ®Google Scholar
• Sammarco, A., & Konecny, L. M. (2008). Quality of life, social support, and uncertainty among Latina breast cancer survivors. Oncology Nursing Forum, 35(844–849). doi:10.1188/08.ONF.844-849
   PubMedGoogle Scholar
• Siegel, R. L., Miller, K. D., & Jemal, A. (2016). Cancer statistics, 2016. CA: A Cancer Journal for Clinicians, 66, 7–30. doi:10.3322/caac.21332
   PubMed Web of Science ®Google Scholar
• Sweeny, K. (2008). Crisis decision theory: Decisions in the face of negative events. Psychological Bulletin, 134, 61–76. doi:10.1037/0033-2909.134.1.61
   PubMed Web of Science ®Google Scholar
• Sweeny, K., Melnyk, D., Miller, W., & Shepperd, J. A. (2010). Information avoidance: Who, what, when, and why. Review of General Psychology, 14, 340–353. doi:10.1037/a0021288
   Web of Science ®Google Scholar
• Timmerman, M. E., & Lorenzo-Seva, U. (2011). Dimensionality assessment of ordered polytomous items with parallel analysis. Psychological Methods, 16, 209. doi:10.1037/a0023353
   PubMed Web of Science ®Google Scholar
• Viswanath, K., Nagler, R. H., Bigman-Galimore, C. A., McCauley, M. P., Jung, M., & Ramanadhan, S. (2012). The communications revolution and health inequalities in the 21st century: Implications for cancer control. Cancer Epidemiology Biomarkers & Prevention, 21, 1701–1708. doi:10.1158/1055-9965.EPI-12-0852
   PubMed Web of Science ®Google Scholar
• Weinberg, J. D., Freese, J., & McElhattan, D. (2014). Comparing data characteristics and results of an online factorial survey between a population-based and a crowdsource-recruited sample. Sociological Science, 1, 292–310. doi:10.15195/v1.a19
   Google Scholar
• Wilkins, A. S. (2018). To lag or not to lag?: Re-evaluating the use of lagged dependent variables in regression analysis. Political Science Research and Methods, 6, 393–411. doi:10.1017/psrm.2017.4
   Web of Science ®Google Scholar