Demographics, Risk Perception and Cognition Influencing Health Behaviors in Preventing Covid-19 Endemic
Article Sidebar
Main Article Content
Abstract
Having appropriate health behaviors to protect oneself from the endemic COVID-19 disease is important for today's people. The purpose of this research was to study demographic factors, risk perception and cognitive structures affecting influencing health behaviors in preventing Covid-19 endemic among Thai people by using a quantitative research method. The sample group was 400 Thai people in 5 regions randomly sampled by a multistage cluster sampling method. The questionnaires were used to collect data and the data were analyzed using descriptive statistics, Pearson’s Correlation Coefficient, and Multiple Linear Regression Analysis. The results showed that predictive variables of health behaviors in preventing Covid-19 endemic with statistically significant at the 0.05 level are perceived probability, health literacy, motivation to process, perceived hazard and age.
Article Details
References
กรมการปกครอง. (2565). สถิติประชากรทางการทะเบียนราษฎร. วันที่เข้าถึงข้อมูล 10 สิงหาคม 2565, แหล่งที่มา https://stat.bora.dopa.go.th/stat/statnew/statMONTH/statmonth/#/mainpage
ทิพย์นภา หวนสุริยา. (2547). อิทธิพลของกลุ่มที่มีองค์ประกอบความเป็นกลุ่มน้อยที่สุดต่อความลำเอียง ระหว่างกลุ่มที่วัดโดยตรงและโดยนัยและการประเมินคุณภาพผลงาน ของสมาชิกกลุ่มตนและกลุ่มอื่นในผู้ที่มีความต้องการทางปัญญาสูงและต่ำ. (วิทยานิพนธ์ปริญญามหาบัณฑิต). จุฬาลงกรณ์มหาวิทยาลัย. สาขาจิตวิทยาสังคม.
วิเชียร เกตุสิงห์. (2543). คู่มือการวิจัย: การวิจัยเชิงปฏิบัติ. กรุงเทพฯ: โรงพิมพ์เจริญผล.
ศูนย์บริหารสถานการณ์การแพร่ระบาดของโรคติดเชื้อไวรัสโคโรนา 2019. (2565). มาตรการเตรียมพร้อม “โควิด” เข้าสู่โรคประจำถิ่น. วันที่เข้าถึงข้อมูล 15 สิงหาคม 2565, แหล่งที่มา https://www.facebook.com/informationcovid19/
Bandura, A. (1997). Self-Efficacy: The Exercise of Control. New York: W.H. Freeman and Company.
Clough, S. (2011). Gender and the hygiene hypothesis. Social science & medicine (1982), 72(4), 486–493.
Dilfard, J. & Pflu, M. (2002). The Persuasion Handbook: Developments in Theory and Practice. Sage Publication.
Dutta-Bergman, M. (2003). Trusted online sources of health information: differences in demographics, health beliefs, and health-information orientation. Journal of medical Internet research. 5(3), e21.
Eysenbach, G., & Köhler, C. (2002). How do consumers search for and appraise health information on the world wide web? Qualitative study using focus groups, usability tests, and in-depth interviews. BMJ (Clinical research ed.). 324(7337), 573–577.
Garfin, D. R., Fischhoff, B., Holman, E. A., & Silver, R. C. (2021). Risk perceptions and health behaviors as COVID-19 emerged in the United States: Results from a probability-based nationally representative sample. Journal of Experimental Psychology: Applied. 27(4), 584–598.
Hovland, C. I., & Weiss, W. (1951). The influence of source credibility on communication effectiveness. Public Opinion Quarterly. 15, 635–650.
Joan S. Tucker, David J. Klein, & Marc N. (2004). Elliott, Social Control of Health Behaviors: A Comparison of Young, Middle-Aged, and Older Adults. The Journals of Gerontology: Series B. 59(4), 147–P150,
Joslyn, S., Sinatra, G. M., & Morrow, D. (2021). Risk perception, decision-making, and risk communication in the time of COVID-19. Journal of Experimental Psychology: Applied. 27(4), 579–583.
Kahneman, D., & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk. Econometrica. 47(2), 263–291.
Kanj, M., & Mitic, W. (2009). 7th Global Conference on Health Promotion, “Promoting Health and Development: Closing the Implementation Gap”, Nairobi, Kenya, 26-30 October 2009.
Katzourakis, A. (2022). COVID-19: endemic doesn’t mean harmless. nature. Retrieved March 1, 2022, from https://www.nature.com/articles/d41586-022-00155-x
Kostopoulou, O., & Schwartz, A. (2021). To unpack or not? Testing public health messaging about COVID-19. Journal of Experimental Psychology: Applied. 27(4), 751–761.
Liao, Q. V., & Fu, W.-T. (2014). Age differences in credibility judgments of online health information. ACM Transactions on Computer-Human Interaction. 21(1), 1–23.
Lipkus, I. M., Rimer, B. K., Lyna, P. R., Pradhan, A. A., Conaway, M., & Woods-Powell, C. T. (1996). Colorectal screening patterns and perceptions of risk among African-American users of a community health center. Journal of community health. 21(6), 409–427.
Luckman, A., Zeitoun, H., Isoni, A., Loomes, G., Vlaev, I., Powdthavee, N., & Read, D. (2021). Risk compensation during COVID-19: The impact of face mask usage on social distancing. Journal of Experimental Psychology: Applied. 27(4), 722–738.
Maddux, J. E., & Rogers, R. W. (1983). Protection motivation and self-efficacy: A revised theory of fear appeals and attitude change. Journal of Experimental Social Psychology, 19(5), 469–479.
Margolis R. (2013). Educational differences in healthy behavior changes and adherence among middle-aged Americans. Journal of health and social behavior, 54(3), 353–368.
McLean, C. P., & Anderson, E. R. (2009). Brave men and timid women? A review of the gender differences in fear and anxiety. Clinical Psychology Review. 29(6), 496–505. http://dx.doi.org/10.1016/j.cpr.2009.05.003
Meillier, L. K., Lund, A. B., & Kok, G. (1997). Cues to action in the process of changing lifestyle. Patient education and counseling. 30(1), 37–51.
Morgan, M., Fischhoff, B., Bostrom, A., & Atman, C. (2001). Risk Communication: A Mental Models Approach. Cambridge: Cambridge University Press.
Myrick, J., & Nabi, R. Fear Arousal and Health and Risk Messaging. Oxford Research Encyclopedia of Communication. Retrieved May 24, 2022, from https://oxfordre.com/communication/view/10.1093/acrefore/9780190228613.001.0001/acrefore-9780190228613-e-266
Nutbeam D. (1998). Health promotion glossary. Health Promotion International. 13(4), 349–364,
Nutbeam D. (2008). The evolving concept of health literacy. In Social science & medicine (1982), 67(12), 2072–2078.
Öhman, A. (2008). Fear and anxiety: Overlaps and dissociations. In M. Lewis, J. M. Haviland-Jones, & L. F. Barrett (Eds.), Handbook of emotions, 709–728.
Peters, E., Västfjäll, D., Slovic, P., Mertz, C. K., Mazzocco, K., & Dickert, S. (2006). Numeracy and decision making. Psychological science. 17(5), 407–413.
Petty, R.E., Cacioppo, J.T. (1986). The Elaboration Likelihood Model of Persuasion. In: Communication and Persuasion. Springer Series in Social Psychology. Springer, New York, NY.
Prybutok, G., & Ryan, S. (2015). Social media: The key to health information access for 18- to 30-year-old college students. Computers, Informatics, Nursing. 33(4), 132-141.
Rehman, R., Zafar, A., Mohib, A., & Baig, M. (2018). A Gender-based Comparison in Health Behaviors and State of Happiness among University Students. Cureus, 10(3), e2342.
Reinhardt, A. & Rossmann, C. (2021). Age-related framing effects: Why vaccination against COVID-19 should be promoted differently in younger and older adults. Journal of Experimental Psychology Applied. 27. 669–678.
Sikes P. (1991) “Nature Took Its Course”? Student Teachers & Gender Awareness. Gender and Education. 3(2), 145-162.
Smith, E. C., Burkle, F. M., Jr, & Archer, F. L. (2011). Fear, familiarity, and the perception of risk: a quantitative analysis of disaster-specific concerns of paramedics. Disaster medicine and public health preparedness. 5(1), 46–53.
Stone, D. (2014). Risk Perception: Encyclopedia of Toxicology (Third Edition). Retrieved March 6, 2022, from https://doi.org/10.1016/B978-0-12-386454-3.00981-7
van der Pligt J. (2001). Vulnerability and Perceived Susceptibility, Psychology of International Encyclopedia of the Social & Behavioral Sciences, h Retrieved May 1, 2022, from ttps://doi.org/10.1016/B0-08-043076-7/03807-9.
Vieites, Y., Ramos, G. A., Andrade, E. B., Pereira, C., & Medeiros, A. (2021). Can self-protective behaviors increase unrealistic optimism? Evidence from the COVID-19 pandemic. Journal of Experimental Psychology: Applied. 27(4), 621–631.
Wilson, E. J., & Sherrell, D. L. (1993). Source Effects in Communication and Persuasion Research: A Meta-Analysis of Effect Size. Journal of the Academy of Marketing Science, 21(2), 101–112.
World Health Organization (WHO). (2020). WHO Director-General's opening remarks at the media briefing on COVID-19 - 11 March 2020. Retrieved August 11, 2022, from https://www.who.int/director-general/speeches/detail/
who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020
World Health Organization (WHO). (2022). Weekly epidemiological update on COVID-19 - 25 January 2022. 76. Retrieved August 11, 2022, from https://www.who.int/publications/m/item/weekly-epidemiological-update-on-covid-19---25-january-2022
Yaninee Petcharanan and Duang-kamol Chartprasert. (2020). Credibility Judgment of Health Information on Facebook: A Case of Thai Facebook Users. 19(1).
Yoon, C., Laurent, G., Fung, H.H. et al. (2005). Cognition, Persuasion and Decision Making in Older Consumers. Market Lett. 16, 429–441.
Zanjani, F. & Schaie, K. & Willis, S. (2006). Age Group and Health Status Effects on Health Behavior Change. Behavioral medicine (Washington, D.C.). 32. 36-46.
Zarcadoolas, C., Pleasant, A., & Greer, D. S. (2005). Understanding health literacy: an expanded model. Health promotion international. 20(2), 195–203.