Department of Public Health Nursing, Faculty of Public Health, Mahidol University, Bangkok, Thailand.
Department of Biostatistics, Faculty of Public Health, Mahidol University, Bangkok, Thailand.
Front Public Health. 2023 Jan 27;11:1049877. doi: 10.3389/fpubh.2023.1049877. eCollection 2023.
This paper aimed to identify factors associated with COVID-19 preventive behaviors among taxi drivers in Bangkok.
This cross-sectional study included 401 taxi drivers. Data were analyzed using descriptive statistics. The association between predisposing factors, enabling factors, and reinforcing factors with COVID-19 preventive behaviors was analyzed by using analysis of variance and Pearson's Product Moment Correlation. Multiple linear regression analysis was used to determine the influencing factors in predicting COVID-19 preventive behaviors of taxi drivers.
The present findings revealed that income adequacy, support from family, co-workers, and healthcare professionals, perceived susceptibility, severity, benefits, barriers, and health motivation, accessibility to personal protective equipment for COVID-19 and preventative measures against COVID-19 from other agencies were associated with good COVID-19 preventive behaviors among taxi-driver in Bangkok during COVID-19 pandemic ( = 0.349, = 0.008). The model could predict 34.9% of variance in COVID-19 preventative behavior among taxi drivers.
Taxi drivers should be encouraged to engage in appropriate preventive behaviors against COVID-19, emphasizing the individual and organizational levels. There should be a policy by organizations to promote the implementation of COVID-19 safety control standards to ensure safe working conditions. In addition, appropriate welfare benefits should be provided for taxi drivers, such as loans, personal protective equipment, and access to health services to improve COVID-19 preventive behaviors.
本研究旨在确定曼谷出租车司机预防 COVID-19 的行为与哪些因素相关。
这是一项横断面研究,共纳入 401 名出租车司机。采用描述性统计分析对数据进行分析。采用方差分析和 Pearson 积差相关分析出租车司机的倾向因素、促成因素和强化因素与 COVID-19 预防行为之间的关系。采用多元线性回归分析确定预测出租车司机 COVID-19 预防行为的影响因素。
本研究结果表明,收入充足、家庭、同事和医疗保健专业人员的支持、感知易感性、严重程度、益处、障碍和健康动机、获得 COVID-19 个人防护设备和来自其他机构的 COVID-19 预防措施与曼谷出租车司机在 COVID-19 大流行期间的良好 COVID-19 预防行为相关( = 0.349, = 0.008)。该模型可以预测出租车司机 COVID-19 预防行为的 34.9%的变异性。
应鼓励出租车司机采取适当的 COVID-19 预防行为,重点关注个人和组织层面。组织应制定政策,促进实施 COVID-19 安全控制标准,以确保安全的工作条件。此外,应为出租车司机提供适当的福利,如贷款、个人防护设备和获得卫生服务,以提高 COVID-19 的预防行为。