Knowledge, Attitudes and Practices of New Normal Living under Coronavirus (COVID-19) Pandemic among Working Age Adults in Bangkok
Main Article Content
Abstract
Objective: To determine knowledge, attitudes and behaviors related to “new normal living” and the relationship among personal factors, knowledge, attitudes, and behaviors related to “new normal living” under the pandemics of COVID-19 among working-age adults in Bangkok. Methods: The subjects were 400 working-age adults aged 20 to 60 living in Bangkok. The subjects responded to an online questionnaire, which consisted of questions on personal information, knowledge, attitudes and behaviors related to “new normal living”. Results: The subjects had an overall good level of knowledge with a mean of 8.92±1.73 (out of a full score of 10). Overall attitudes towards the “new normal living” were at a moderate level with a mean of 37.57±6.40 (out of a full score of 50). Overall behavior related to “new normal living” was at a good level with a mean of 24.12±3.63 (out of a full score of 30). There was a statistically significant positive correlation between knowledge and attitudes and behaviors related to “new normal living” (r=0.613 and 0.614, respectively). Attitudes and behaviors related to “new normal living” showed a statistically significant positive correlation (r=0.563). Those who were older, having higher education and having higher incomes tended to have better knowledge, attitudes and behaviors related to “new normal living” compared to those who were younger, having less educational level and having lower incomes. Those with a history on seven diseases had no differences on knowledge compared to those with no such history. However, those with the history on seven diseases had better attitudes and behaviors related to “new normal living”. Conclusion: This study demonstrates the importance of the provision of education on the formation of appropriate attitudes and behaviors related to “new normal living”, even not being familiar to the public. The results can be an input for guiding more effective policy formation, campaigning and organizing training activities. It could serve as a model for emerging diseases in the future in order to help prevent and control the rapid spread of COVID-19 or similar emerging diseases in the future.
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
ผลการวิจัยและความคิดเห็นที่ปรากฏในบทความถือเป็นความคิดเห็นและอยู่ในความรับผิดชอบของผู้นิพนธ์ มิใช่ความเห็นหรือความรับผิดชอบของกองบรรณาธิการ หรือคณะเภสัชศาสตร์ มหาวิทยาลัยสงขลานครินทร์ ทั้งนี้ไม่รวมความผิดพลาดอันเกิดจากการพิมพ์ บทความที่ได้รับการเผยแพร่โดยวารสารเภสัชกรรมไทยถือเป็นสิทธิ์ของวารสารฯ
References
Office of the Royal Thai Council. The Royal Institute defined the term “new normal” [online]. 2020 [cited Feb 20, 2021]. Available from: royalsociety.go.th/def ine-new-normal/.
Wake AD. Knowledge, attitude, practice, and associ- ated factors regarding the novel coronavirus disease 2019 (COVID-19) pandemic. Infect Drug Resist 2020 ; 13: 3817-32.
Vicerra PMM.Disparity between knowledge and practice regarding COVID-19 in Thailand: a cross-sectional study of older adults. PLoS One 2021; 16: e0259154.
Theppitak T. The KAP model and a study of behavior and attitude on prevention HIV/AIDS infection in Thai seafarers. CRRU Journal of Communication 2013; 8: 84-102.
Chaichumkhun J.Is the group of infected people really younger? On the epidemiology of COVID-19, a new wave [online]. 2021 [cited May 2, 2021]. Available from:thematter.co/science-tech/health/young-getting -infected/141799.
Policy and Planning Division. Community data statis- tics in Bangkok in 2018. Bangkok: Department of City Planning and Urban Development. 2018.
Chantawibul A, Sanugul P, Jensarikorn P, Arphacha rus N.The study of the environmental health manage ment in urban slums during COVID-19 outbreak [on line].2020 [cited Jul 27, 2021]. Available from: advi sor.anamai.moph.go.th/download/ Journal_health/2 563/HEALTH43No3/HEALTH_Vol43No3_07.pdf.
National Statistical Office Thailand. Demographic statistics population and housing: the number of populations from registration classified by age group, gender, region and province in 2020 [online]. 2020 [cited May 9, 2021]. Available from: statbbi.nso.go.t h/staticreport/page/sector/th/01.aspx
Yamane T. Statistics: An Introductory analysis. 3rd ed. New York: Harper and Row; 1973.
Bloom BS. Mastery learning. In: Block JH, editor. Mastery learning: Theory and practice. New York: Holt, Rinehart & Winston; 1971. p. 47-63.
Kijpredaborisuthi B.Research methods in social sciences. 7thed. Bangkok: Jaroenphon; 1997.
Bureau of Registration Administration, Department of the Provincial Administration. Population statistics from the civil registration [online]. 2021 [cited May 24, 2021]. Available from: stat.bora.dopa.go.th/stat/s tatnew/statMenu/newStat/stat/
Khumsaen N. Knowledge, attitudes, and preventive behaviors of COVID-19 among people living in Amphoe U-thong, Suphanburi Province. Journal of Prachomklao College of Nursing, Phetchaburi Province 2021; 4: 33-48.
Department of Older Persons, Ministry of Social Development and Human Security. Department of older persons has advice on caring for the elderly to be safe and away from Coronavirus Disease 2019 or COVID-19 for everyone [online]. 2021 [cited May 29, 2021]. Available from: www.dop.go.th/th/gallery/1 /4280.
Li S, Feng B, Liao W, Pan W. Internet use, risk awareness, and demographic characteristics associ- ated with engagement in preventive behaviors and testing: cross-sectional survey on COVID-19 in the United States. J Med Internet Res 2020 16; 22: e19782.
Department of Health, Ministry of Public Health. Group 608 is the group of people who need to be vaccinated against COVID-19 the most [online]. 2022 [cited Jan 25, 2022]. Available from: multime dia.anamai.moph.go.th/anamai-toons/covid-vaccine-4/.
Internal Medicine Center, Bumrungrad International Hospital.8 groups of patients who, if infected with COVID-19, are at risk of having severe symptoms [online]. 2020 [cited Apr 22, 2021]. Available from: www.bumrungrad.com/th/health-blog/april-2020/ covid-19-there-are-eight-risk-groups.
Internal Medicine Center, Vejthani Hospital. 8 risk groups that may have severe symptoms if infected with COVID-19 [online]. [n.d.] [cited Apr 22, 2021]. Available from: www.vejthani.com/th/2021/01/8risk groupCOVID-19.
Chen X, Chen H. Differences in preventive behavior of COVID-19 between urban and rural residents: lessons learned from a cross-sectional study in China.Int J Environ Res Public Health 2020; 17: 4437.
Zhong BL, Luo W, Li HM, Zhang QQ, Liu XG, Li WT, et al. Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: a quick online cross-sectional survey.Int J Biol Sci 2020; 16: 1745–52.