https://doi.org/10.4081/ripppo.2020.485
Age differences in the relationship between threatening and coping mechanisms and preventive behaviors in the time of COVID-19 in the United States: Protection Motivation Theory
Submitted: August 8, 2020
Accepted: November 27, 2020
Published: January 14, 2021
Accepted: November 27, 2020
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
It is important to understand the factors motivating people to adopt recommended behavioral changes in response to the coronavirus disease 2019 (COVID-19) pandemic, and how they differ for younger and older adults. Using a nationally representative sample from the Understanding America Study (3/10-3/31/2020), we assessed how four cognitive mediators affected uptake of protective activities for younger (aged 18-34) and older adults (aged 65+) during the beginning of the COVID-19 pandemic. Confirmatory factor analysis based on Protective Motivation Theory demonstrated associations between our observed variables and the latent constructs: perceived severity and susceptibility, and response efficacy and self-efficacy. Among younger adults, coping appraisal such as perceptions of effectiveness of behaviors in protecting them from coronavirus and belief in their ability to perform recommended changes led them to adopt preventive behaviors; for older people, threat appraisal such as perception of severity was associated with behavioral responses. Younger people may rely more on their assessment of coping resources and effectiveness in their response to COVID-19; while older people base their behavioral responses on their perception of the severity of the situation, which they appraise using information from media and the severity of the epidemic in their state of residence. Different strategies are required to motivate older and younger people to adopt behavioral modifications, which are critical in reducing further spread of COVID-19.
Abdulkareem, S. A., Augustijn, E. W., Filatova, T., Musial, K., & Mustafa, Y. T. (2020). Risk perception and behavioral change during epidemics: Comparing models of individual and collective learning. PLoS One, 15(1), e0226483. doi: https://doi.org/10.1371/journal.pone.0226483
DOI: https://doi.org/10.1371/journal.pone.0226483
Alattar, L., Messel, M., & Rogofsky, C. (2018). An introduction to the Understanding America Study Internet Panel. Social Security Bulletin, 78(2), 13-28.
Ash, E., Galletta, S., Hangartner, D., Margalit, Y., & Pinna, M. (2020, June 27). The effect of Fox News on health behavior during COVID-19. SSRN: https://ssrn.com/abstract=3636762 or http://dx.doi.org/10.2139/ssrn.3636762
DOI: https://doi.org/10.2139/ssrn.3636762
CDC COVID-19 Response Team. (2000). Geographic differences in COVID-19 cases, deaths, and incidence – United States, February 12-April 7, 2020. MMWR Morbidity and Mortality Weekly Report, 69, 465-471.
Crimmins, E. (2020). Age-related vulnerability to COVID-19: Biological, contextual and policy related factors. Public Policy and Aging Report. 30(4), 142-146. https://doi.org/10.1093/ppar/praa023.
DOI: https://doi.org/10.1093/ppar/praa023
Ferguson, N. (2007). Capturing human behavior. Nature, 446, 733. doi: https://doi.org/10.1038/446733a
DOI: https://doi.org/10.1038/446733a
Garg, S., Kim, L., Whitaker, M., O’Halloran, A., Cummings, C., Holstein, R., Prill, M., Chai, S., Kirley, P., Alden, N., Kawasaki, B., Yousey-Hindes, K., Niccolai, L., Anderson, E., Openo, K., Weigel, A., Monroe, M., Ryan, P., Henderson, & J., Fry, A. (2020). Hospitalization rates and characteristics of patients hospitalized with laboratory-confirmed coronavirus 2019 - COVID-NET, 14 states, March 1-30, 2020. MMWR Morbidity and Mortality Weekly Report, 69, 458 469.
DOI: https://doi.org/10.15585/mmwr.mm6915e3
Hankonen, N., Absetz, P., Haukkala, A., & Uutela, A. (2009). Socioeconomic status and psychosocial mechanisms of lifestyle change in a type 2 diabetes prevention trial. Annals of Behavioral Medicine, 38(2),160-165.
DOI: https://doi.org/10.1007/s12160-009-9144-1
Hu, L., & 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: https://doi.org/10.1080/10705519909540118
DOI: https://doi.org/10.1080/10705519909540118
Johnson, T., Dawes, C., Fowler, J., & Smirnov, O. (2020). Slowing COVID-19 transmission as a social dilemma: Lessons for government officials from interdisciplinary research on cooperation. Journal of Behavioral Public Administration, 3. doi: https://doi.org/10.30636/jbpa.31.150
DOI: https://doi.org/10.30636/jbpa.31.150
Kim, J. K., & Crimmins, E. M. (2020). How does age affect personal and social Reactions to COVID-19: results from the National Understanding America Survey. PLoS One, 15(11), e0241950. doi: https://doi.org/10.1371/journal.pone.0241950
DOI: https://doi.org/10.1371/journal.pone.0241950
Kroenke, K., Spitzer, R., Williams, J., & Lowe, B. (2009). An ultra-brief screening scale for anxiety and depression: The PHQ-4. Psychosomatics, 50(6), 613-621. doi: https://doi.org/10.1016/S0033-3182(09)70864-3
DOI: https://doi.org/10.1016/S0033-3182(09)70864-3
Plotnikoff, R. C., & Higginbotham, N. (2002). Protection Motivation Theory and exercise behaviour change for the prevention of heart disease in a high-risk, Australian representative community sample of adults. Psychology, Health & Medicine, 7(1), 87-98. doi: https://doi.org/10.1080/13548500120101586
DOI: https://doi.org/10.1080/13548500120101586
Prentice-Dunn, S., & Rogers, R. W. (1986). Protection Motivation Theory and preventive health: beyond the Health Belief Model. Health Education Research, 1(3), 153-161. doi: https://doi.org/10.1093/her/1.3.153
DOI: https://doi.org/10.1093/her/1.3.153
Rogers, R. W. (1983). Cognitive and physiological processes in fear appeals and attitude change: A revised Theory of Protection Motivation. In J. Cacioppo & R. Petty (Eds.), Social Psychophysiology: A Sourcebook. (pp. 153–176). New York, NY: Guilford Press.
Rogers, R. W., & Prentice-Dunn, S. (1997). Protection motivation theory. In D. S. Gochman (Ed.), Handbook of health behavior research 1: Personal and social determinants (pp.113-132). New York, NY: Plenum Press.
Simonov, A., Sacher, S., Dubé, J., & Biswas, S. (2020). The persuasive effect of Fox News: Non-compliance with social distancing during the COVID-19 pandemic. NBER working paper series, No. 27237. doi: https://10.3386/w27237
DOI: https://doi.org/10.3386/w27237
Spiegelhalter D. (2020). What are the risks of COVID? And what is meant by ‘the risks of COVID’? Retrieved July 1, 2020. Available from: https://medium.com/wintoncentre/what-arethe-risks-of-covid-and-what-is-meant-by-thee-risks-of-covidc828695aea69
The CESR Covid-19 Task Force. (2020). Tracking the effect of the COVID-19 pandemic on American households. Survey Research Methods, 14(2), 179-186. doi: https://doi:10. 18148/srm/2020.v14i2.7737
USC Dornsife Center for Economic and Social Research. (2020). Understanding America Study Recruitment Protocol. Retrieved July 1, 2020. Available from: https://uasdata.usc.edu/index.php?r=eNpLtDKyqi62MrFSKkhMT1WyLrYyslwwskuTcjKT9VLyk0tzU_NKEksy8_NS8svzcvITU0
BqgMrzEnPhykMdgxWCUpOLSjNLQMoVAoryS_KT83P0ClLSlKxrAZOmXCIG
Van Bavel, J. J. V., Baicker, K., Boggio, P. S., Capraro, V., Cichocka, A., Cikara, M., Crockett, M., Crum, A., Douglas, K., Druckman, J., Drury, J., Dube, O., Ellemers, N., Finkel, E., Fowler, J., Gelfand, M., Han, S., Haslam, A., Jetten, J., & Wille R. (2020). Using social and behavioural science to support COVID-19 pandemic response. Nature Human Behaviour, 4, 460-471. doi: https://doi.org/10.1038/s41562-020-0884-z
DOI: https://doi.org/10.1038/s41562-020-0884-z
Walker, R. J., Smalls, B. L., Hernandez-Tejada, M. A., Campbell, J. A., & Egede, L.E. (2014). Effect of diabetes self-efficacy on glycemic control, medication adherence, self-care behaviors, and quality of life in a predominantly low-income, minority population. Ethnicity & Disease, 24(3), 349-355.
Witte, K. & Allen, M. A. (2000). A meta-analysis of fear appeals: implications for effective public health campaigns. Health Education & Behavior, 27, 591-615. doi: 10.1177/109019810002700506
DOI: https://doi.org/10.1177/109019810002700506
How to Cite
Kim, J. K., & Crimmins, E. M. (2021). Age differences in the relationship between threatening and coping mechanisms and preventive behaviors in the time of COVID-19 in the United States: Protection Motivation Theory. Research in Psychotherapy: Psychopathology, Process and Outcome, 23(3). https://doi.org/10.4081/ripppo.2020.485
Copyright (c) 2020 Jung Ki Kim, Eileen M. Crimmins
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