Prediction and Risk Group of Coronavirus Disease 2019 Protection Behaviors in the Community among Juveniles in Northern Region of Thailand

Authors

  • Anan Yaemyuean Uttaradit Rajabhat University, Thailand
  • Perawat Nonthachot Uttaradit Rajabhat University
  • Teerapatra Ekphachaisawat Phetchabun Rajabhat University, Thailand

DOI:

https://doi.org/10.57260/rcmrj.2023.262666

Keywords:

Community, Coronavirus disease 2019, Protection, Juveniles, Behavior

Abstract

The coronavirus disease 2019 protection behavior in the community of juveniles in the northern region can have an impact on the lifestyles of people in the community if the juveniles ignore or do not follow protective measures against coronavirus disease 2019. The research aims to 1) identify significant predictors and prediction of psychological traits and situations involving the coronavirus disease 2019 protection behavior in the community and 2) investigate risk groups and protective factors. The sample consists of 600 juveniles obtained from the multi-stage quota random sampling. The analytic statistics used to test the hypotheses were the enter and stepwise methods of multiple regression analysis and the three - way analysis of variance.
The findings revealed that psychological traits, situations, and psychological states can predict 56.80% of the coronavirus disease 2019 protection behavior in the community. The most significant predictor is a positive attitude towards the coronavirus disease 2019 protection behavior (β=.29), followed by future orientation and self-control regarding the coronavirus disease 2019 protection (β=.27), love-reasoned child rearing practice (β=.22), observance of media on the coronavirus disease 2019 protection behaviors (β=.18), observance of their parents’ coronavirus disease 2019 protection behaviors (β=.13), moral disengagement concerning Covid-19 prevention (β=.10), and emotional quotient (β=.08), respectively. Additionally, it was found that male juveniles and juveniles who lack protective equipment are at high risk and require urgent care. The research recommended protective development guideline to raise awareness of juveniles about the coronavirus disease 2019 protection behavior in the community with the coordination of public and civic sectors in the community.

References

Ajzen, I., & Fishbein, M. (1980). Understanding Attitude and Predicting Social Behavior. New Jersey: Predice-Hall.

Baker, D.W. (2006). The meaning and the measure of health literacy. Journal of general internal medicine, 21(8), 878-883. DOI: 10.1111/j.1525-1497.2006.00540.x

Bandura, A. (1997). Self-Efficacy. New York: W.H. Freeman.

Bar-On, R. (1997). The emotional quotient inventory (EQ-i): Technical manual. Toronto: Multi-Health Systems.

Bhanthumnavin. (2010). Evidence-based theory and findings in psycho-behavioral science for research and development of individual and society. Bangkok. National Institute of development Administration. (In Thai)

Bhanthumnavin. (2013). Research for Development and Validation of Research Moral Disengagement. Journal of Behavioral Science, 23(2), 117-137. DOI: 10.14456/jbs.2017.21 (In Thai)

Bhanthumnavin. (2013). Antecedent of Mindful Risk-Taking Behavior in Secondary School Students: A Path Analytic Approach. Bangkok: National Research Council of Thailand. (In Thai)

Boonkwang, S. (2008). Study of Teacher’s Satisfaction with Environment in Primary Educational Institutions in Wichianburi District, under Phetchabun Office of educational Service Area 3. (M.A., Mahasarakham University. (In Thai)

Bunthan, W., Thipsut, T., Turongrueng, S., Rungrueng, J., Chuseethong, R., Kramunrot, N., & Mungluang, K. (2021). Factors Affecting the Health Promoting Behaviors to Coronavirus Disease 2019 (COVID-19) Infecting Prevention of the First-year Students in Huachiew Chalermprakiet University. HCU Journal, 25(2), 168-179. https://he01.tci-thaijo.org/index.php/HCUJOURNAL/article/view/250563 (In Thai)

Chokwiwat, W. (2020). Liao Lang Lae Na. Bangkok: OS Printing House. (In Thai)

Community Organization Development Institute. (2022). Learn the COVID-19 management in the community with the “managed to live together in the community” . Retrieved from https://web.codi.or.th/20211126-28866/

Conto, C.A., Spogmai, A., Dreesen, T., Kamei, A., Mizunoya, S., & Rigole A. (2020). COVID-19: Effects of school closures on foundational skills and promising practices for monitoring and mitigating learning loss. UNICEF Office of Research-Innocenti, Florence.

Dejsuwannachai, R. (2021). Knowledge, Attitude and Preventive Behavior toward COVID-19 among grade 10-12 students in Bangkok. Institute for Urban Disease Control and Prevention Journal, 6(2), 1-15. https://he01.tci-thaijo.org/index.php/iudcJ/article/view/250811 (In Thai)

Department of Health. (2017). Conceptual Model of Health Literacy. Retrieved from http://planing.anamai.moph.go.th/mian.php. (In Thai)

Department of Health. (2021). Guideline of Practice on Public Health for Prevention of Coronavirus Disease 2019 (COVID-19) outbreak. (1st ed.). Bangkok Metropolis: Ministry of public Health.

Fishbein, M., & Ajzen, I. (1977). Attitude-Behavior Relations: A Theoretical Analysis and Review of Empirical Research. Psychological Bulletin, 84(5), 888-918. DOI:10.1037/0033-2909.84.5.888

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis. (7th ed.). Upper Saddle River, NJ: Pearson Education.

Hoffman, J.A. & Miller, E.A. (2020). Addressing the consequences of school closure due to COVID‐19 on children's physical and mental well‐being. World Medical & Health Policy, 12(3), 300–310. https://doi.org/10.1002/wmh3.365

Intarapanich, T., Daungseethong, S., Sontugn, S. & Bunkrung, A. (2021). Factors influencing Chanhunbamphen School students' learning ability in abnormal situations induced by the Coronavirus 2019 (Covid-19) epidemic. Journal of Science and Technology, Rajabhat Maha Sarakham University, 4(2), 1-19. https://ph02.tci-thaijo.org/index.php/jstrmu/article/view/245831 (In Thai)

Lapirattanakul, W. (2003). Public Relation. Bangkok: Chulalongkorn University. (In Thai)

Luevanich, C., Sungthong, J., Jitjamnong, A., Pichaikan, S., Tantiwiboonchai, N., Sianglam, A., Boontawee, C., & Soptokmad, R. (2020). Health Literacy and New Normal Among Phuket Province Residents Towards COVID-19 Prevention. Journal of Nursing and Health Sciences, 14(3), 73-88. https://he01.tci-thaijo.org/index.php/NurseNu/article/view/246273 (In Thai)

Mayer, J. D., Salovey, P., & Caruso, D. R. (2000). Models of emotional intelligence. New York: Cambridge.

National Statistical Office Thailand. (2021). Statistical Yearbook Thailand 2021. Retrieved from http://www.nso.go.th/sites/2014/Pages/e-Book/ (in Thai)

O’brien, R. M. (2007). A caution regarding rules of thumb for variance inflation factors. Quality & Quantity, 41(5), 673-690. DOI 10.1007/s11135-006-9018-6

Punpromthada, A. (2021). Predicting COVID-19 Related Preventive Behaviors Using Three Psycho-Social Models in Undergraduate Student. (Ph.D., National Institute of Development Administration. (In Thai)

Prongrommarat, J.(2018). The Causal Variable Influencing the AIDS Prevention Behavior of Secondary School Students in Nakhon Rachasima Province. NRRU Community Research Journal, 12(2), 52-62. https://so04.tci-thaijo.org/index.php/NRRU/article/view/164573 (In Thai)

Rotter, J. B. (1966). Generalized expectancies for internal versus external control of reinforcement. Psychological monographs: General and applied, 80(1), 1-28. https://doi.org/10.1037/h0092976

Sakdapat, N. (2021). Psychosocial Factors Related to the COVID-19 Prevention Behaviors of Undergraduate Students. Warasan Phuettikammasat, 27(2), 39-62. https://so06.tci-thaijo.org/index.php/BSRI/article/view/248262 (In Thai)

Siriwipherk, N. & Lertprasopsuk, N. (2018). The Behavior of People in Drug Prevention in Talad Krathum Baen, Krathum Baen, Samut Sakhon Province. Silpakorn Educational Research Journal, 10(1), 367-378. https://so05.tci-thaijo.org/index.php/suedureasearchjournal/article/view/138535 (In Thai)

Thoresen, C.E., & Mahoney, M.J. (1974). Behavior self-control. New York: Holt McDougal, Rinehart and Winston.

Wangsom, W., Intarakamhang, U., & Ekpanyaskul, C. (2018). Social and intelligent aspects to predict the health care behavior among patients at risk of ischemic stroke. J Med Health Sci, 25(2), 82-96. https://he01.tci-thaijo.org/index.php/jmhs/article/view/142940 (In Thai)

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Published

2023-04-10

How to Cite

Yaemyuean, A., Nonthachot, P., & Ekphachaisawat, T. (2023). Prediction and Risk Group of Coronavirus Disease 2019 Protection Behaviors in the Community among Juveniles in Northern Region of Thailand. Community and Social Development Journal, 24(2), 14–31. https://doi.org/10.57260/rcmrj.2023.262666

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Section

บทความวิจัย (RESEARCH ARTICLE)