AUTHOR=Rojpaisarnkit Kunwadee , Kaewpan Wonpen , Pengpid Supa , Peltzer Karl 

TITLE=COVID-19 Preventive Behaviors and Influencing Factors in the Thai Population: A Web-Based Survey

JOURNAL=Frontiers in Public Health

VOLUME=10

YEAR=2022

URL=https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2022.816464

DOI=10.3389/fpubh.2022.816464

ISSN=2296-2565

ABSTRACT=<sec><title>Objectives</title><p>To identify factors influencing COVID-19 preventive behaviors among the Thai population.</p></sec><sec><title>Methods</title><p>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.</p></sec><sec><title>Results</title><p>The factors that mostly influenced COVID-19 prevention behaviors when controlling for the other variables are social support (β = 0.173, <italic>p</italic> &lt; 0.001) follow by age (β = 0.162, <italic>p</italic> &lt; 0.001), flu-like symptoms (β = 0.130, <italic>p</italic> &lt; 0.001), gender (β = −0.084, <italic>p</italic> &lt; 0.001), perceived risk of exposure (β = 0.035, <italic>p</italic> &lt; 0.05), lock down policy (β = 0.029, <italic>p</italic> &lt; 0.05), and residential area (β = −0.027, <italic>p</italic> &lt; 0.05), respectively. These factors explained 52% of the COVID-19 preventive behaviors in Thai population.</p></sec><sec><title>Conclusion</title><p>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.</p></sec>