Main Article Content
This research is a cross-sectional survey with a purpose of studying preventive behaviors of work related COVID-19 among aging taxi drivers in Bangkok. The sample were 364 aging taxi drivers registered with the Department of Land Transport in 2020 selected by systematic random sampling. The data were collected using interview form which had a content validity index of 0.96 and an acceptable reliability at 0.85 and 0.73. Data were analyzed using descriptive statistics, Chi-square statistic, Pearson's correlation coefficient and stepwise multiple regression analysis.
The findings of this study showed that 69.4% of the sample had preventive behaviors of work related COVID-19 at a high level. Health beliefs, income adequacy and marital status were the three factors associated with work related COVID-19 prevention and could predict 28.9 percent of work related COVID-19 preventive behaviors among aging taxi drivers (R2 = .289, p-value < .001).
The study suggest to promote personal preventive behaviors against COVID-19 by raising awareness about health beliefs especially avoiding risky behaviors and using personal protective equipment behaviors and family should be supportive.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Centre for the Administration of the Situation due to the Outbreak of the Communicable Disease Coronavirus (COVID-19). Progress on the situation of the novel coronavirus disease 2019 (COVID-19) in Thailand. [Internet]. [cited 2021 September 20]. Available from: https://news.thaipbs.or.th/content/3069 16. (in Thai).
Assumption University. Statistics on the use of public transportation in Bangkok. [Internet]. [cited 2021 September 20]. Available from: https://www.bltbangkok.com/poll/ 4055/. (in Thai).
Department of Disease Control. Coronavirus disease 2019 (COVID-19). [Internet]. [cited 2021 September 20]. Available from: https://ddc.moph.go.th/viralpneumonia/info.php.(in Thai).
Department of Disease Control. Guidelines for prevention and control of Coronavirus disease 2019 for domestic public transport. [Internet]. [cited 2021 September 20]. Available from: https://ddc.moph. go.th/viralpneumonia/file/measure/mea_bus_040363.pdf. (in Thai).
Department of Land Transport. Notification of action measures to control the spread of the Coronavirus 2019 for public transport operators. [Internet]. [cited 2021 September 20]. Available from: https://www.dlt.go.th/th/download.php?ref. (in Thai).
Bangkok Metropolitan Administration. Taxi service measures during the COVID-19 outbreak. [Internet]. [cited 2021 September 20]. Available from: https://www.facebook.com/information covid-19. (in Thai).
Administration Occupational Safety and Health. COVID-19 guidance for rideshare, taxi, and car service workers. [Internet]. [cited 2021 August 15]. Available from: https://www. osha.gov/sites/default /files/publications/OSHA4021.pdf.
American Public Transportation Association. The COVID-19 pandemic public transportation responds: safeguarding riders and employees. [Internet]. [cited 2021 August 15]. Available from: https://www. apta.com/wp-content/uploads/COVID-19_Transit_Guide_REVISON-2020_08_11.pdf.
International Air Transport Association. COVID-19: we will beat this crisis and reconnect our world. [Internet]. [cited 2021 August 15]. Available from: https://www.iata.org/.
Department for Transport. Guidance Coronavirus (COVID-19): taxis and PHVs. [Internet]. [cited 2021 August 15]. Available from: https://www.gov.uk/guidance/coronavirus -covid-19-taxis-and-phvs.
Jongrungrotsakul W, Chanprasit C, Kaewthummanukul T. Work-related health problems of taxi drivers in Chiang Mai province. Nursing Journal 2018;45:122-35. (in Thai).
Inma R, Jirapongsuwan A, Tipayamongkholgul M, Kalampakorn S. Factors related to hypertension among taxi drivers in Bangkok. Journal of Public Health Nursing 2017;31(3):39-54. (in Thai).
World Health Organization. Aging and working capacity: report of a WHO study group. [Internet]. [cited 2022 April 1]. Available from: https:// https://apps.who.int/iris/bitstream/handle/10665/36979 /924120835X-eng.pdf
Jirapongsuwan A. Work environment and health risk: principles and application for occupational health nursing. Bangkok: Danex Intercorporation; 2017. (in Thai).
Rosenstock IM. The health belief model and preventive health behavior. In: Becker MH, editor. The health belief model and personal behavior. New Jersey: Charles B. Slack; 1974.
Becker MH, Maiman LA. Sociobehavioral determinant of compliance with health and medical care recommendations. New Jersey: Charles B. Slack; 1975.
Firouzbakht M, Omidvar S, Firouzbakht S, Asadi A. COVID-19 preventive behaviors and influencing factors in the Iranian population; a web-based survey. BMC Public Health 2021;21(143):2-7. doi:10.1186/s12889-021-10201-4.
Li S, Feng B, Liao W, Pan W. Internet use, risk awareness, and demographic characteristics associated with engagement in preventive behaviors and testing: cross-sectional survey on COVID-19 in the United States. J Med Internet Res 2020;22(6):e19782. doi: 10.2196/19782.
Inthacharoen A, Kanchanapoom K, Tansakul K, Pattapat S. Factors influencing preventive behavior towards coronavirus disease 2019 among people in Khohong Town Municipality Songkhla province. Journal of Council of Community Public Health 2021;3(2):14-25. (in Thai).
Rad R, Mohseni S, Takhti H, Azad M, Shahabi, N, Aghamolaei T. Application of the protection motivation theory for predicting COVID-19 preventive behaviors in Hormozgan, Iran: a cross-sectional study. BMC Public Health 2021;21(1):1-11.
Siramaneerat I. Perceptions, knowledge and self-defense behaviors regarding COVID-19 among employees at Rajamangala University of Technology Thanyaburi, Thailand. Journal of Health Research 2021. doi:10.1108/jhr-09-2020-0426 10.1108/jhr-09-2020-0426.
Jaide C, Sansati S, Kongsaktrakul C. Factors related to child care workers’ behavior in prevention of acute respiratory infection in child care center. Ramathibodi Nursing Journal 2012;18(3):389-403. (in Thai).
Bashirian S, Jenabi E, Khazaei S, Barati M, Karimi-Shahanjarini A, Zareian S. Factors associated with preventive behaviours of COVID-19 among hospital staff in Iran in 2020: an application of the protection motivation theory. J Hosp Infect 2020;105(3):430-3.
Takdhada S. Fit, fake, faint in the cloud of fear for fencing with COVID-19, what’s the optimized? Royal Thai Navy Medical Journal 2021;48(3):771-6.
Juthawan J. COVID-19 preventative behavior of the staff in the National Institute of Health, Department of Medical Sciences. [Master’s Thesis, Faculty of Business Administration]. Ramkhamhaeng University; 2020. (in Thai).
Ruenbanthoeng S, Kalampakorn S, Jirapongsuwan A. Preventive behaviors of work related respiratory problem among railway construction workers in Bangkok. Journal of Public Health Nursing 2017;30(3):71-83. (in Thai).
Boonviset P, Damrongsak M, Harnirattisai T. Predictors of personal protection behaviors from incense dust exposure among incense makers. Nursing Journal 2013;40:80-90. (in Thai).
Potikul B, Kalampakorn S, Thiangthum W. Factors related to silicosis preventive behaviors of stone crushing worker in U-Thong, Suphanburi. In: The 15th Graduate Research Conferences 2014. Khon Kaen: Khon Kaen University; 2014. p. 1749-58 (in Thai).
Chalaemchart A, Sukserm T, Traithip T. Respiratory disease prevention behavior of people affected by small particles from the Northeastern sugar factory, Sam Chai District, Kalasin Province. In: The 8th NEU National Conference 2021. Khon Kaen: North Eastern University; 2021:736-47. (in Thai).
Promjame S, Kespichayawattana J. The effect of health belief model program on complication preventive behavior in hypertensive older persons. Royal Thai Navy Medical Journal 2018;45(3):561-77. (in Thai).