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Lay illness risk beliefs are commonly held philosophies about how risk works. These include beliefs that one’s personal illness risk is unknowable and beliefs that thinking about one’s risk can actually increase that risk. Beliefs about risk may impact risk behaviors and thereby subsequent health status. However, limited research examines the relation between lay risk beliefs and health behavior. This paper explores this possible relation. A nationally representative sample of adults (N = 1005) recruited from an internet panel were surveyed about lay risk beliefs and risk perceptions regarding diabetes and colorectal cancer, psychosocial factors (i.e., health literacy, need for cognition, locus of control), demographics, and current health behaviors (i.e., cigarette smoking, red meat intake, physical activity). In separate sets of regressions controlling for either demographics, psychosocial factors, or risk perceptions, lay risk beliefs remained significantly related to health behaviors. It may be important to consider how to address lay risk beliefs in intervention content and targeting in order to increase adaptive health behaviors and thereby prevent chronic disease.
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Atkinson, T. M., Salz, T., Touza, K. K., Li, Y., & Hay, J. L. (2015). Does colorectal cancer risk perception predict screening behavior? A systematic review and meta-analysis. Journal of Behavioral Medicine, 38, 837–850. CrossRef
Bang, H., Edwards, A. M., Bomback, A. S., Ballantyne, C. M., Brillon, D., Callahan, M. A., et al. (2009). Development and validation of a patient self-assessment score for diabetes risk. Annals of Internal Medicine, 151, 775–783. CrossRef
Baser, R. E., Li, Y., Brennessel, D., Kemeny, M. M., & Hay, J. L. (2017). Measurement invariance of intuitive cancer risk perceptions across diverse populations: The Cognitive Causation and Negative Affect in Risk scales. Journal of Health Psychology, 1, 1–24.
Bassett, J. K., Severi, G., English, D. R., Baglietto, L., Krishnan, K., Hopper, J. L., et al. (2010). Body size, weight change, and risk of colon cancer. Cancer Epidemiology and Prevention Biomarkers, 19(11), 2978–2986. CrossRef
Berkman, N. D., Sheridan, S. L., Donahue, K. E., Halpern, D. J., & Crotty, K. (2011). Low health literacy and health outcomes: An updated systematic review. Annals of Internal Medicine, 155, 97–107. CrossRef
Brener, N. D., Billy, J. O., & Grady, W. R. (2003). Assessment of factors affecting the validity of self-reported health-risk behavior among adolescents: Evidence from the scientific literature. Journal of Adolescent Health, 33, 436–457. CrossRef
Brewer, N. T., Chapman, G. B., Gibbons, F. X., Gerrard, M., McCaul, K. D., & Weinstein, N. D. (2007). Meta-analysis of the relation between risk perception and health behavior: The example of vaccination. Health Psychology, 26, 136. CrossRef
Brewer, N. T., Weinstein, N. D., Cuite, C. L., & Herrington, J. E. (2004). Risk perceptions and their relation to risk behavior. Annals of Behavioral Medicine, 27, 125–130. CrossRef
Caccioppo, J. T., & Petty, R. E. (1982). The need for cognition. Journal of Personality and Social Psychology, 42, 116–131. CrossRef
Cacioppo, J. T., Petty, R. E., Feinstein, J. A., & Jarvis, W. B. G. (1996). Dispositional differences in cognitive motivation: The life and times of individuals varying in need for cognition. Psychological Bulletin, 119, 197. CrossRef
Cameron, L. D., & Leventhal, H. (Eds.). (2003). The self-regulation of health and illness behaviour. Hove: Psychology Press.
Centers for Disease Control (CDC). (2009). Chronic disease… The public health challenge of the 21st century.
Centers for Disease Control (CDC). (2014). Up to 40 percent of annual deaths from each of the five leading US causes are preventable.
Centers for Disease Control (CDC). (2017a). Chronic disease overview.
Centers for Disease Control (CDC). (2017b). Current cigarette smoking among adults in the United States.
Centers for Disease Control (CDC). (2017c). Health United States report 2016.
Centers for Disease Control (CDC). (2017d). National Health Interview Survey.
Centers for Disease Control (CDC). (2018). Diabetes quick facts.
Centers for Disease Control (CDC). (2019). Colorectal cancer statistics.
Chan, D. S., Lau, R., Aune, D., Vieira, R., Greenwood, D. C., Kampman, E., et al. (2011). Red and processed meat and colorectal cancer incidence: Meta-analysis of prospective studies. PLoS ONE, 6, e20456. CrossRef
Department of Agriculture. (2013). Annual report.
Ezzati, M., Martin, H., Skjold, S., Hoorn, S. V., & Murray, C. J. (2006). Trends in national and state-level obesity in the USA after correction for self-report bias: Analysis of health surveys. Journal of the Royal Society of Medicine, 99, 250–257. CrossRef
Ferrer, R. A., & Klein, W. M. (2015). Risk perceptions and health behavior. Current Opinion in Psychology, 5, 85–89. CrossRef
Ferrer, R. A., Klein, W. M., Persoskie, A., Avishai-Yitshak, A., & Sheeran, P. (2016). The tripartite model of risk perception (TRIRISK): Distinguishing deliberative, affective, and experiential components of perceived risk. Annals of Behavioral Medicine, 50, 653–663. CrossRef
Finucane, M. L., Alhakami, A., Slovic, P., & Johnson, S. M. (2000). The affect heuristic in judgments of risks and benefits. Journal of Behavioral Decision Making, 13, 1–17. CrossRef
Fryback, D. G., Dunham, N. C., Palta, M., Hanmer, J., Buechner, J., Cherepanov, D., et al. (2007). US norms for six generic health-related quality-of-life indexes from the National Health Measurement study. Medical Care, 45, 1162. CrossRef
Hay, J. L., Baser, R., Weinstein, N. D., Li, Y., Primavera, L., & Kemeny, M. M. (2014). Examining intuitive risk perceptions for cancer in diverse populations. Health, Risk & Society, 16, 227–242. CrossRef
Hay, J. L., Brennessel, D., Kemeny, M. M., & Lubetkin, E. I. (2016a). Examining intuitive cancer risk perceptions in Haitian-Creole and Spanish-speaking populations. Journal of Transcultural Nursing, 27, 368–375. CrossRef
Hay, J. L., Ramos, M., Li, Y., Holland, S., Brennessel, D., & Kemeny, M. M. (2016b). Cognitive and lay risk beliefs as predictors of colorectal cancer screening over time. Journal of Behavioral Medicine, 39, 65–74. CrossRef
Hay, J., Shuk, E., Cruz, G., & Ostroff, J. (2005). Thinking through cancer risk: Characterizing smokers’ process of risk determination. Qualitative Health Research, 15, 1074–1085. CrossRef
Health Information National Trends Survey. All HINTS questions 2014. http://hints.cancer.gov/questions.aspx
Heimlich, J. E., & Ardoin, N. M. (2008). Understanding behavior to understand behavior change: A literature review. Environmental Education Research, 14, 215–237. CrossRef
Jackson, J. S., Knight, K. M., & Rafferty, J. A. (2010). Race and unhealthy behaviors: Chronic stress, the HPA axis, and physical and mental health disparities over the life course. American Journal of Public Health, 100, 933–939. CrossRef
Keinan, G. (2002). The effects of stress and desire for control on superstitious behavior. Personality and Social Psychology Bulletin, 28, 102–108. CrossRef
Knowler, W. C., Barrett-Connor, E., Fowler, S. E., Hamman, R. F., Lachin, J. M., Walker, E. A., et al. (2002). Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. The New England Journal of Medicine, 346(6), 393–403. CrossRef
Kramer, T., & Block, L. (2007). Conscious and nonconscious components of superstitious beliefs in judgment and decision making. Journal of Consumer Research, 34, 783–793. CrossRef
Leventhal, H., Meyer, D., & Nerenz, D. R. (1980). The common sense representation of illness danger. In S. Rachman (Ed.), Contributions to medical psychology (pp. 17–30). New York: Pergamon Press.
Loewenstein, G. F., Weber, E. U., Hsee, C. K., & Welch, N. (2001). Risk as feelings. Psychological Bulletin, 127, 267. CrossRef
Micha, R., Michas, G., & Mozaffarian, D. (2012). Unprocessed red and processed meats and risk of coronary artery disease and type 2 diabetes—An updated review of the evidence. Current Atherosclerosis Reports, 14, 515–524. CrossRef
Monninkhof, E. M., Elias, S. G., Vlems, F. A., van der Tweel, I., Schuit, A. J., Voskuil, D. W., et al. (2007). Physical activity and breast cancer: A systematic review. Epidemiology, 18, 137–157. CrossRef
National Cancer Institute. (2019). Health Information National Trends Survey (HINTS).
Nelson, D., Kreps, G., Hesse, B., Croyle, R., Willis, G., Arora, N., et al. (2004). The health information national trends survey (HINTS): Development, design, and dissemination. Journal of Health Communication, 9, 443–460. CrossRef
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. CrossRef
Orom, H., O’Quin, K. E., Reilly, S., & Kiviniemi, M. T. (2015). Perceived cancer risk and risk attributions among African-American residents of a low-income, predominantly African-American neighborhood. Ethnicity & Health, 20, 543–556. CrossRef
Pampel, F. C., Krueger, P. M., & Denney, J. T. (2010). Socioeconomic disparities in health behaviors. Annual Review of Sociology, 36, 349–370. CrossRef
Peltzer, K., & Renner, W. (2003). Superstition, risk-taking and risk perception of accidents among South African taxi drivers. Accident Analysis and Prevention, 35, 619–623. CrossRef
Peters, E., Lipkus, I., & Diefenbach, M. A. (2006a). The functions of affect in health communications and in the construction of health preferences. Journal of Communication, 56, S140–S162. CrossRef
Peters, E., McCaul, K. D., Stefanek, M., & Nelson, W. (2006b). A heuristics approach to understanding cancer risk perception: Contributions from judgment and decision-making research. Annals of Behavioral Medicine, 31, 45–52. CrossRef
Pronin, E., Wegner, D. M., McCarthy, K., & Rodriguez, S. (2006). Everyday magical powers: The role of apparent mental causation in the overestimation of personal influence. Journal of Personality and Social Psychology, 91, 218. CrossRef
Renn, O. (1998). The role of risk perception for risk management. Reliability Engineering & System Safety, 59, 49–62. CrossRef
Renner, B., Schmälzle, R., & Schupp, H. T. (2012). First impressions of HIV risk: It takes only milliseconds to scan a stranger. PLoS ONE, 7, e30460. CrossRef
Reyna, V. F., Weldon, R. B., & McCormick, M. (2015). Educating intuition: Reducing risky decisions using fuzzy-trace theory. Current Directions in Psychological Science, 24, 392–398. CrossRef
Risen, J. L., & Gilovich, T. (2008). Why people are reluctant to tempt fate. Journal of Personality and Social Psychology, 95, 293. CrossRef
Rogers, R. W. (1975). A protection motivation theory of fear appeals and attitude change1. The Journal of Psychology, 91, 93–114. CrossRef
Rosenstock, I. M. (1974). The health belief model and preventive health behavior. Health Education Monographs, 2, 354–386. CrossRef
Salovey, P., Rothman, A. J., Detweiler, J. B., & Steward, W. T. (2000). Emotional states and physical health. American Psychologist, 55, 110. CrossRef
Sasco, A. J., Secretan, M. B., & Straif, K. (2004). Tobacco smoking and cancer: A brief review of recent epidemiological evidence. Lung Cancer, 45, S3–S9. CrossRef
Schmälzle, R. (2008). Intuitive risk perception: A neuroscientific approach (Doctoral dissertation).
Sheeran, P., Harris, P. R., & Epton, T. (2014). Does heightening risk appraisals change people’s intentions and behavior? A meta-analysis of experimental studies. Psychological Bulletin, 140, 511–543. CrossRef
Sheerard, M., & Czaja, R. (1999). Extending two cognitive processing scales, Need for cognition and need for evaluation, for use in a health intervention. European Advances in Consumer Research, 4, 135–142.
Sirois, F. M., Kitner, R., & Hirsch, J. K. (2015). Self-compassion, affect, and health-promoting behaviors. Health Psychology, 34, 661. CrossRef
Slovic, P., Peters, E., Finucane, M. L., & MacGregor, D. G. (2005). Affect, risk, and decision making. Health Psychology, 24, S35. CrossRef
Subbotsky, E., & Quinteros, G. (2002). Do cultural factors affect causal beliefs? Rational and magical thinking in Britain and Mexico. British Journal of Psychology, 93, 519–543. CrossRef
Sutton, S. R. (1987). Social-psychological approaches to understanding addictive behavior: Attitude-behavior and decision-making models. British Journal of Addiction, 82, 355–370. CrossRef
Umpierre, D., Ribeiro, P. A., Kramer, C. K., Leitão, C. B., Zucatti, A. T., Azevedo, M. J., et al. (2011). Physical activity advice only or structured exercise training and association with HbA1c levels in type 2 diabetes: A systematic review and meta-analysis. JAMA, 305, 1790–1799. CrossRef
Wallston, B. D., & Wallston, K. A. (1978). Locus of control and health: A review of the literature. Health Education Monographs, 6, 107–117. PubMed PMID: 357347. CrossRef
Waters, E. A., McQueen, A., & Cameron, L. D. (2013). Perceived risk and its relation to health-related decisions and behavior. In: The Oxford handbook of health communication, behavior change, and treatment adherence (p. 193).
Wegner, D. M., & Wheatley, T. (1999). Apparent mental causation: Sources of the experience of will. American Psychologist, 54, 480. CrossRef
Weinstein, N. D., & Klein, W. M. (1995). Resistance of personal risk perceptions to debiasing interventions. Health Psychology, 14, 132. CrossRef
Wells, B. J., Kattan, M. W., Cooper, G. S., Jackson, L., & Koroukian, S. (2014). Colorectal cancer predicted risk online (CRC-PRO) calculator using data from the multi-ethnic cohort study. The Journal of the American Board of Family Medicine, 27, 42–55. CrossRef
World Health Organization (WHO). (2017). Body Mass Index—BMI. http://www.euro.who.int/en/health-topics/disease-prevention/nutrition/a-healthy-lifestyle/body-mass-index-bmi.
Willi, C., Bodenmann, P., Ghali, W. A., Faris, P. D., & Cornuz, J. (2007). Active smoking and the risk of type 2 diabetes: A systematic review and meta-analysis. JAMA, 298, 2654–2664. CrossRef
Zikmund-Fisher, B. J., Fagerlin, A., & Ubel, P. A. (2010). Risky feelings: Why a 6% risk of cancer does not always feel like 6%. Patient Education and Counseling, 81, S87–S93. CrossRef
- Lay beliefs about risk: relation to risk behaviors and to probabilistic risk perceptions
Kristen E. Riley
Jennifer L. Hay
Erika A. Waters
Marc T. Kiviniemi
- Springer US
Journal of Behavioral Medicine
Print ISSN: 0160-7715
Elektronisch ISSN: 1573-3521