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Research Article

Behavioral Beliefs Predict Recommended Behaviors, Especially When Trust in Public Health Sources is Low: Evidence from a Longitudinal Study of Three COVID-19 Prevention Behaviors Among U.S. Adults

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References

  • Ajzen, I. (2011). The theory of planned behaviour: Reactions and reflections. Psychology & Health, 26(9), 1113–1127. doi:10.1080/08870446.2011.613995
  • Armitage, C. J., & Conner, M. (2001). Efficacy of the theory of planned behaviour: A meta-analytic review. British Journal of Social Psychology, 40(4), 471–499. doi:10.1348/014466601164939
  • Bargain, O., & Aminjonov, U. (2020). Trust and compliance to public health policies in times of COVID-19. Journal of Public Economics, 192, 104316. doi:10.1016/j.jpubeco.2020.104316
  • Carpenter, C. J. (2015). A meta-analysis of the ELM’s argument quality × processing type predictions. Human Communication Research, 41(4), 501–534. doi:10.1111/hcre.12054
  • Centers for Disease Control and Prevention (CDC). (2020a, May 12). Media statement from Dr. Robert Redfield, CDC Director; Dr. Steve Hahn, FDA Commissioner; and Dr. Anthony Fauci, NIAID Director. https://www.cdc.gov/media/releases/2020/s0512-statement-redfield-hahn-fauci.html
  • Centers for Disease Control and Prevention (CDC). (2020b, June 25). Transcript for the CDC telebriefing update on COVID-19. https://www.cdc.gov/media/releases/2020/t0625-COVID-19-update.html
  • Centers for Disease Control and Prevention (CDC). (2021, March 8). CDC issues first set of guidelines on how fully vaccinated people can visit safely with others. https://www.cdc.gov/media/releases/2021/p0308-vaccinated-guidelines.html
  • Centers for Disease Control and Prevention (CDC). (2023, July 6). How to protect yourself and others. https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
  • Centers for Disease Control and Prevention (CDC). (2023, May 12). Vaccines for COVID-19. https://www.cdc.gov/coronavirus/2019-ncov/vaccines/index.html
  • Chaiken, S., Lieberman, A., & Eagly, A. H. (1989). Heuristic and systematic processing within and beyond the persuasion context. In J. S. Uleman & J. A. Bargh (Eds.), Unintended thought: Limits of awareness, intention, and control (pp. 212–252). New York, NY: Guilford.
  • Chaiken, S., & Maheswaran, D. (1994). Heuristic processing can bias systematic processing: Effects of source credibility, argument ambiguity, and task importance on attitude judgment. Journal of Personality and Social Psychology, 66(3), 460. doi:10.1037/0022-3514.66.3.460
  • Chu, H., & Liu, S. (2021). Integrating health behavior theories to predict American’s intention to receive a COVID-19 vaccine. Patient Education and Counseling, 104(8), 1878–1886. doi:10.1016/j.pec.2021.02.031
  • Davern, M., Bautista, R., Freese, J., Herd, P., & Morgan, S. L. (2023). General Social Survey 1972-2022. [Machine-readable data file]. Principal Investigator, Michael Davern; Co-Principal Investigators, Rene Bautista, Jeremy Freese, Pamela Herd, and Stephen L. Morgan. Sponsored by National Science Foundation. NORC ed. Chicago: NORC, 2023: NORC at the University of Chicago [producer and distributor]. gssdataexplorer.norc.org
  • Diament, S. M., Kaya, A., & Magenheim, E. B. (2021). Frames that matter: Increasing the willingness to get the covid-19 vaccines. Social Science & Medicine, 292, 114562. doi:10.1016/j.socscimed.2021.114562
  • Earle, T. C., & Siegrist, M. (2008). Trust, confidence and cooperation model: A framework for understanding the relation between trust and risk perception. International Journal of Global Environmental Issues, 8(1–2), 17–29. doi:10.1504/IJGENVI.2008.017257
  • Evans, J. S. (2012). Dual-process theories of deductive reasoning: Facts and fallacies. In K. J. Holyoak & R. G. Morrison (Eds.), The Oxford handbook of thinking and reasoning (pp. 115–133). New York, NY: Oxford University Press.
  • Fishbein, M., & Ajzen, I. (2011). Predicting and changing behavior: The reasoned action approach. Psychology Press. doi:10.4324/9780203838020
  • Fishbein, M., & Yzer, M. C. (2003). Using theory to design effective health behavior interventions. Communication Theory, 13(2), 164–183. doi:10.1111/j.1468-2885.2003.tb00287.x
  • Fiske, S. T., Cuddy, A. J. C., & Glick, P. (2007). Universal dimensions of social cognition: Warmth and competence. Trends in Cognitive Sciences, 11(2), 77–83. doi:10.1016/j.tics.2006.11.005
  • Flew, T. (2021). The global trust deficit disorder: A communications perspective on trust in the time of global pandemics. Journal of Communication, 71(2), 163–186. doi:10.1093/joc/jqab006
  • Fridman, I., Lucas, N., Henke, D., & Zigler, C. K. (2020). Association between public knowledge about COVID-19, trust in information sources, and adherence to social distancing: Cross-sectional survey. JMIR Public Health and Surveillance, 6(3), e22060. doi:10.2196/22060
  • Guillon, M., & Kergall, P. (2020). Attitudes and opinions on quarantine and support for a contact-tracing application in France during the COVID-19 outbreak. Public Health, 188, 21–31. doi:10.1016/j.puhe.2020.08.026
  • Head, K. J., Kasting, M. L., Sturm, L. A., Hartsock, J. A., & Zimet, G. D. (2020). A national survey assessing SARS-CoV-2 vaccination intentions: Implications for future public health communication efforts. Science Communication, 42(5), 698–723. doi:10.1177/1075547020960463
  • Heesacker, M., Petty, R. E., & Cacioppo, J. T. (1983). Field dependence and attitude change: Source credibility can alter persuasion by affecting message‐relevant thinking. Journal of Personality, 51(4), 653–666. doi:10.1111/j.1467-6494.1983.tb00872.x
  • Hornik, R., Kikut, A., Jesch, E., Woko, C., Siegel, L., & Kim, K. (2021). Association of COVID-19 misinformation with face mask wearing and social distancing in a nationally representative US sample. Health Communication, 36(1), 6–14. doi:10.1080/10410236.2020.1847437
  • Hovland, C. I., & Weiss, W. (1951). The influence of source credibility on communication effectiveness. Public Opinion Quarterly, 15(4), 635–650. doi:10.1086/266350
  • Jones, L. W., Sinclair, R. C., & Courneya, K. S. (2003). The effects of source credibility and message framing on exercise intentions, behaviors, and attitudes: An integration of the elaboration likelihood Model and prospect theory 1. Journal of Applied Social Psychology, 33(1), 179–196. doi:10.1111/j.1559-1816.2003.tb02078.x
  • Kennedy, B., Tyson, A., & Funk, C. (2022, February 15). Americans’ trust in scientists, other groups declines. Pew Research Center. https://www.pewresearch.org/science/2022/02/15/americans-trust-in-scientists-other-groups-declines/
  • Kikut, A., Clark, D., Jesch, E., & Hornik, R. (2022). Strengthened belief in vaccine effectiveness predicted increased COVID-19 vaccination intention and behaviour: Results from a nationally representative longitudinal survey of U.S. adults from July 2020 to April/May 2021. Vaccine: X, 40(42), 6035–6041. doi:10.1016/j.vaccine.2022.08.046
  • Kim, H. K., & Tandoc, E. C. (2021). Wear or not to wear a mask? Recommendation inconsistency, government trust and the adoption of protection behaviors in cross-lagged TPB models. Health Communication, 37(7), 833–841. doi:10.1080/10410236.2020.1871170
  • Larson, H. J., Jarrett, C., Schulz, W. S., Chaudhuri, M., Zhou, Y., Dube, E., & MacDonald, N. E. (2015). Measuring vaccine hesitancy: The development of a survey tool. Vaccine: X, 33(34), 4165–4175. doi:10.1016/j.vaccine.2015.04.037
  • Latkin, C. A., Dayton, L., Strickland, J. C., Colon, B., Rimal, R., & Boodram, B. (2020). An assessment of the rapid decline of trust in US sources of public information about COVID-19. Journal of Health Communication, 25(10), 764–773. doi:10.1080/10810730.2020.1865487
  • Mak, B., Schmitt, B. H., & Lyytinen, K. (1997). User participation in knowledge update of expert systems. Information & Management, 32(2), 55–63. doi:10.1016/S0378-7206(96)00010-9
  • Matthews, R. A., Pineault, L., & Hong, Y.-H. (2022). Normalizing the use of single-item measures: validation of the single-item compendium for organizational psychology. Journal of Business and Psychology, 37(4), 639–673. doi:10.1007/s10869-022-09813-3
  • McEachan, R. R. C., Conner, M., Taylor, N. J., & Lawton, R. J. (2011). Prospective prediction of health-related behaviours with the theory of planned behaviour: A meta-analysis. Health Psychology Review, 5(2), 97–144. doi:10.1080/17437199.2010.521684
  • Mongeau, P. A., & Williams, M. L. M. (1996). Argument quality and the elaboration likelihood model of persuasion. Paper presented at the Annual Meeting of the International Communication Association, Chicago, IL.
  • Nagler, R. H. (2014). Adverse outcomes associated with media exposure to contradictory nutrition messages. Journal of Health Communication, 19(1), 24–40. doi:10.1080/10810730.2013.798384
  • O’Keefe, D. (2013). Elaboration likelihood model. In J. P. Dillard & L. Shen (Eds.), The SAGE handbook of persuasion: Developments in theory and practice (pp. 137–149). Thousand Oaks, CA: SAGE Publications.
  • Petty, R. E., & Cacioppo, J. T. 1986. The elaboration likelihood model of persuasion. In Advances in experimental social psychology (Vol. 19, pp. 123–205) Elsevier Science & Technology. 10.1016/S0065-2601(08)60214-2
  • Pornpitakpan, C. (2004). The persuasiveness of source credibility: A critical review of five decades’ evidence. Journal of Applied Social Psychology, 34(2), 243–281. doi:10.1111/j.1559-1816.2004.tb02547.x
  • Reiter, P. L., Pennell, M. L., & Katz, M. L. (2020). Acceptability of a COVID-19 vaccine among adults in the United States: How many people would get vaccinated? Vaccine: X, 38(42), 6500–6507. doi:10.1016/j.vaccine.2020.08.043
  • Research Center, P. (2021). How Americans Navigated the News in 2020: A Tumultuous Year in Review. https://www.journalism.org/2021/02/22/how-americans-navigated-the-news-in-2020-a-tumultuous-year-in-review/
  • Rosen, C. S. (2000). Integrating stage and continuum models to explain processing of exercise messages and exercise initiation among sedentary college students. Health Psychology, 19(2), 172–180. doi:10.1037/0278-6133.19.2.172
  • Rousseau, D. M., Sitkin, S. B., Burt, R. S., & Camerer, C. (1998). Not so different after all: A cross-discipline view of trust. Academy of Management Review, 23(3), 393–404. doi:10.5465/amr.1998.926617
  • Schulze, R., & Wittmann, W. W. (2003). A meta-analysis of the theory of reasoned action and the theory of planned behavior: The principle of compatibility and multidimensionality of beliefs as moderators. In R. Schulze, H. Holling, & D. Böhning (Eds.), Meta-analysis: New developments and applications in medical and social sciences (pp. 219–250). Boston, MA: Hogrefe & Huber Publishers.
  • Shafiq, M., Elharake, J. A., Malik, A. A., McFadden, S. M., Anguolu, O. G., & Omer, S. (2021). COVID-19 sources of information, knowledge, and preventive behaviors among the US adult population. Journal of Public Health Management and Practice, 27(3), 278–284. doi:10.1097/PHH.0000000000001348
  • Shapiro, G. K., Tatar, O., Dube, E., Amsel, R., Knauper, B. , and Rosberger, Z. (2018). The vaccine hesitancy scale: Psychometric properties and validation. Vaccine, 36(5), 660–667. doi:10.1016/j.vaccine.2017.12.043
  • Sheeran, P., Orbell, S., & Trafimow, D. (1999). Does the temporal stability of behavioral intentions moderate intention-behavior and past behavior-future behavior relations? Personality & Social Psychology Bulletin, 25(6), 724–734. doi:10.1177/0146167299025006007
  • Social Science Research Solutions (SSRS). (2020, June 27). https://ssrs.com/opinion-panel/
  • Stata. 2017. 15.1 (Stata Corporation LLC).
  • Stephenson, M. T., Benoit, W. L., & Tschida, D. A. (2009). Testing the mediating role of cognitive responses in the elaboration likelihood model. Communication Studies, 52(4), 324–337. doi:10.1080/10510970109388567
  • Swami, V., & Barron, D. (2021). Rational thinking style, rejection of coronavirus (COVID-19) conspiracy theories/theorists, and compliance with mandated requirements: Direct and indirect relationships in a nationally representative sample of adults from the United Kingdom. Journal of Pacific Rim Psychology, 15, 183449092110373. doi:10.1177/18344909211037385
  • Thoma, V., Weiss-Cohen, L., Filkuková, P., & Ayton, P. (2021). Cognitive predictors of precautionary behavior during the COVID-19 pandemic. Frontiers in Psychology, 12, 589800. doi:10.3389/fpsyg.2021.589800
  • Todorov, A., Chaiken, S., & Henderson, M. D. (2002). The heuristic-systematic model of social information processing. In J. P. Dillard & M. Pfau (Eds.), The persuasion handbook: Developments in theory and practice (pp. 195–211). London: SAGE Publications.
  • Woko, C., Siegel, L., & Hornik, R. (2020). An investigation of low COVID-19 vaccination intentions among Black Americans: The role of behavioral beliefs and trust in COVID-19 information sources. Journal of Health Communication, 25(10), 819–826. doi:10.1080/10810730.2020.1864521
  • World Health Organization (WHO). (2021, April 9). Coronavirus Disease (COVID-19) advice for the public. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public
  • Xu, Y., Margolin, D., & Niederdeppe, J. (2021). Testing strategies to increase source credibility through strategic message design in the context of vaccination and vaccine hesitancy. Health Communication, 36(11), 1354–1367. doi:10.1080/10410236.2020.1751400