Abstract
As is true for many behavioral theory constructs, no consensus exists on how best to measure perceived risk; therefore, it is unclear whether different measures of disease risk perception are conceptually equivalent and whether such measures are equally appropriate for people with different objective disease risk. To investigate these issues, we used four commonly utilized risk perception items (measuring beliefs about personal risk, others’ risk, disease prevalence, and mortality) to assess susceptibility to cardiovascular disease, breast cancer, and lung cancer among 454 younger (ages 18–25) and 169 middle-aged (40–64) women. We examined age- and ethnicity-related differences in participants’ responses to the items. We also used structural equation modeling to test whether these items reflect a multidimensional, disease-specific latent construct of risk perception; and to test whether consistency exists in participants’ disease-specific risk perceptions. Despite differences in responses to individual items, hypothesized models of perceived risk fit both age groups, suggesting that risk perception can be conceptualized in younger and middle-aged women as a multidimensional construct that is specific to disease yet reflective of global risk-related beliefs.
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American Cancer Society. (2010). Cancer facts & figures 2010. Atlanta: American Cancer Society.
Arbuckle, J. L. (2008). AMOS 17.0.1. Spring House, PA: Amos Development Corporation.
Bentler, P. M., & Chou, C. P. (1987). Practical issues in structural modeling. Sociological Methods & Research, 16, 78–117.
Braun, S. (2003). The history of breast cancer advocacy. Breast Journal, 9, S101–S103.
Byrne, B. M. (2001). Structural equation modeling with AMOS. Mahwah, NJ: Lawrence Erlbaum Associates.
Costa, P. T., & McCrae, R. R. (1985). Hypochondriasis, neuroticism, and aging: When are somatic complaints unfounded? American Psychologist, 40, 19–28.
Diefenbach, M. A., Weinstein, N. D., & O’Reilly, J. (1993). Scales for assessing perceptions of health hazard susceptibility. Health Education Research, 8, 181–192.
Dillard, A. J., Couper, M. P., & Zikmund-Fisher, B. J. (2010). Perceived risk of cancer and patient reports of participation in decisions about screening: The DECISIONS study. Medical Decision Making, 30, 96S–105S.
Festinger, L. (1954). A theory of social comparison processes. Human Relations, 7, 117–140.
Gerend, M. A., Aiken, L. S., & West, S. G. (2004a). Personality factors in older women’s perceived susceptibility to diseases of aging. Journal of Personality, 72, 243–270.
Gerend, M. A., Aiken, L. S., West, S. G., & Erchull, M. J. (2004b). Beyond medical risk: Investigating the psychological factors underlying women’s perceptions of susceptibility to breast cancer, heart disease, and osteoporosis. Health Psychology, 23, 247–258.
Goethals, G. R., & Darley, J. M. (1977). Social comparison theory: An attributional approach. In J. Suls & R. L. Miller (Eds.), Social comparison processes: Theoretical and empirical perspectives (pp. 259–278). Washington, DC: Hemisphere.
Graham, J. M. (2006). Congeneric and (essentially) tau-equivalent estimates of score reliability. Educational and Psychological Measurement, 66, 930–944.
Hamilton, J. G., Lobel, M., & Moyer, A. (2009). Emotional distress following genetic testing for hereditary breast and ovarian cancer: A meta-analytic review. Health Psychology, 28, 510–518.
Helweg-Larsen, M., & Shepperd, J. A. (2001). Do moderators of the optimistic bias affect personal or target risk estimates? A review of the literature. Personality and Social Psychology Review, 5, 74–95.
Horiuchi, S., Finch, C. E., Mesle, F., & Vallin, J. (2003). Differential patterns of age-related mortality increase in middle age and old age. Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 58, 495–507.
Janz, N. K., & Becker, M. H. (1984). The health belief model: A decade later. Health Education Quarterly, 11, 1–47.
Katapodi, M. C., Lee, K. A., Facione, N. C., & Dodd, M. J. (2004). Predictors of perceived breast cancer risk and the relation between perceived risk and breast cancer screening: A meta-analytic review. Preventive Medicine, 38, 388–402.
Klein, W. M. P., & Stefanek, M. E. (2007). Cancer risk elicitation and communication: Lessons from the psychology of risk perception. CA: A Cancer Journal for Clinicians, 57, 147–167.
McCaul, K. D., Reid, P. A., Rathge, R. W., & Martinson, B. (1996). Does concern about breast cancer inhibit or promote breast cancer screening? Basic and Applied Social Psychology, 18, 183–194.
Meischke, H., Sellers, D. E., Robbins, M. L., Goff, D. C., Daya, M. R., Meshack, A., et al. (2000). Factors that influence personal perceptions of the risk of an acute myocardial infarction. Behavioral Medicine, 26, 4–13.
Mosca, L., Mochari, H., Christian, A., Berra, K., Taubert, K., Mills, T., et al. (2006). National study of women’s awareness, preventive action, and barriers to cardiovascular health. Circulation, 113, 525–534.
Nelson, D. E., Kreps, G. L., Hesse, B. W., Croyle, R. T., Willis, G., Arora, N. K., et al. (2004). The Health Information National Trends Survey (HINTS): Development, design, and dissemination. Journal of Health Communication, 9, 443–460.
Noar, S. M., & Zimmerman, R. S. (2005). Health behavior theory and cumulative knowledge regarding health behaviors: Are we moving in the right direction? Health Education Research, 20, 275–290.
Pasick, R. J., & Burke, N. J. (2008). A critical review of theory in breast cancer screening promotion across cultures. Annual Review of Public Health, 29, 351–368.
Perloff, L. S. (1983). Perceptions of vulnerability to victimization. Journal of Social Issues, 39, 41–61.
Perloff, L. S., & Fetzer, B. K. (1986). Self-other judgments and perceived vulnerability to victimization. Journal of Personality and Social Psychology, 50, 502–510.
Prentice-Dunn, S., & Rogers, R. W. (1986). Protection motivation theory and preventive health: Beyond the health belief model. Health Education Research, 1, 153–161.
Ranby, K. W., Aiken, L. S., Gerend, M. A., & Erchull, M. J. (2010). Perceived susceptibility measures are not interchangeable: Absolute, direct comparative, and indirect comparative risk. Health Psychology, 29, 20–28.
Renner, B., Knoll, N., & Schwarzer, R. (2000). Age and body make a difference in optimistic health beliefs and nutrition behaviors. International Journal of Behavioral Medicine, 7, 143–159.
Reyna, V. F., Nelson, W. L., Han, P. K., & Dieckmann, N. F. (2009). How numeracy influences risk comprehension and medical decision making. Psychological Bulletin, 135, 943–973.
Roger, V. L., Go, A. S., Lloyd-Jones, D. M., Adams, R. J., Berry, J. D., Brown, T. M., et al. (2011). Heart disease and stroke statistics—2011 update: A report from the American Heart Association. Circulation, 123, e18–209.
Rogers, R. W. (1975). A protection motivation theory of fear appeals and attitude change. Journal of Psychology: Interdisciplinary and Applied, 91, 93–114.
Rowe, J. L., Montgomery, G. H., Duberstein, P. R., & Bovbjerg, D. H. (2005). Health locus of control and perceived risk for breast cancer in healthy women. Behavioral Medicine, 31, 33–40.
Sivell, S., Elwyn, G., Gaff, C. L., Clarke, A. J., Iredale, R., Shaw, C., et al. (2008). How risk is perceived, constructed and interpreted by clients in clinical genetics, and the effects on decision making: Systematic review. Journal of Genetic Counseling, 17, 30–63.
Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Boston, MA: Pearson Education, Inc.
Taylor, S. E., & Lobel, M. (1989). Social comparison activity under threat: Downward evaluation and upward contacts. Psychological Review, 96, 569–575.
Vollrath, M., Knoch, D., & Cassano, L. (1999). Personality, risky health behaviour, and perceived susceptibility to health risks. European Journal of Personality, 13, 39–50.
Weinstein, N. D. (1984). Why it won’t happen to me: Perceptions of risk factors and susceptibility. Health Psychology, 3, 431–457.
Weinstein, N. D. (1987). Unrealistic optimism about susceptibility to health problems: Conclusions from a community-wide sample. Journal of Behavioral Medicine, 10, 481–500.
Weinstein, N. D. (1988). The precaution adoption process. Health Psychology, 7, 355–386.
Weinstein, N. D. (1993). Testing four competing theories of health-protective behavior. Health Psychology, 12, 324–333.
Weinstein, N. D. (1998). Accuracy of smokers’ risk perceptions. Annals of Behavioral Medicine, 20, 135–140.
Weinstein, N. D. (1999). What does it mean to understand a risk? Evaluating risk comprehension. Journal of the National Cancer Institute. Monographs, 25, 15–20.
Weinstein, N. D., & Klein, W. M. (1995). Resistance of personal risk perceptions to debiasing interventions. Health Psychology, 14, 132–140.
Wendt, S. J. (2005). Perception of future risk of breast cancer and coronary heart disease in female undergraduates. Psychology, Health & Medicine, 10, 253–262.
Wilcox, S., & Stefanick, M. L. (1999). Knowledge and perceived risk of major diseases in middle-aged and older women. Health Psychology, 18, 346–353.
Wills, T. A. (1981). Downward comparison principles in social psychology. Psychological Bulletin, 90, 245–271.
Yung, Y. F., & Bentler, P. M. (1994). Bootstrap-corrected ADF test statistics in covariance structure analysis. British Journal of Mathematical and Statistical Psychology, 47, 63–84.
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The authors would like to acknowledge the research support provided by an Individual Development Award from United University Professors and funding from the Department of Psychology at Stony Brook University.
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Hamilton, J.G., Lobel, M. Passing years, changing fears? Conceptualizing and measuring risk perceptions for chronic disease in younger and middle-aged women. J Behav Med 35, 124–138 (2012). https://doi.org/10.1007/s10865-011-9342-8
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DOI: https://doi.org/10.1007/s10865-011-9342-8