Department of Public Health, Faculty of Sciences and Technology, Rajabhat Rajanagarindra University, Chachoengsao, Thailand.
Department of Public Health Nursing, Faculty of Public Health, Mahidol University, Bangkok, Thailand.
Front Public Health. 2022 May 12;10:816464. doi: 10.3389/fpubh.2022.816464. eCollection 2022.
To identify factors influencing COVID-19 preventive behaviors among the Thai population.
A cross-sectional web-based survey was used. A total of 6,521 Thai people completed the survey. The multiple linear regression analysis was performed to identify factors that influenced coronavirus disease 2019 (COVID-19) preventive behaviors. The Predisposing, Reinforcing, and Enabling Constructs in Educational Diagnosis and Evaluation (PRECEDE) model was applied to propose factors influencing COVID-19 preventive behaviors.
The factors that mostly influenced COVID-19 prevention behaviors when controlling for the other variables are social support (β = 0.173, < 0.001) follow by age (β = 0.162, < 0.001), flu-like symptoms (β = 0.130, < 0.001), gender (β = -0.084, < 0.001), perceived risk of exposure (β = 0.035, < 0.05), lock down policy (β = 0.029, < 0.05), and residential area (β = -0.027, < 0.05), respectively. These factors explained 52% of the COVID-19 preventive behaviors in Thai population.
The result of this study was a foundation for further studies on different groups of people to develop different strategies to adopt preventive behaviors to reduce the spread of the COVID-19.
确定影响泰国人群 COVID-19 预防行为的因素。
采用横断面网络调查。共有 6521 名泰国人完成了调查。采用多元线性回归分析确定影响冠状病毒病 2019(COVID-19)预防行为的因素。应用教育诊断与评估的倾向因素、促成因素和强化因素(PRECEDE)模型提出影响 COVID-19 预防行为的因素。
在控制其他变量的情况下,对 COVID-19 预防行为影响最大的因素是社会支持(β=0.173,<0.001),其次是年龄(β=0.162,<0.001)、流感样症状(β=0.130,<0.001)、性别(β=-0.084,<0.001)、感知暴露风险(β=0.035,<0.05)、封锁政策(β=0.029,<0.05)和居住区域(β=-0.027,<0.05)。这些因素解释了泰国人群中 52%的 COVID-19 预防行为。
本研究结果为进一步研究不同人群制定不同的预防行为策略提供了基础,以减少 COVID-19 的传播。