COVID-19 Preventive Behaviors and Influencing Factors in the Thai Population: A Web-Based Survey
ObjectivesTo identify factors influencing COVID-19 preventive behaviors among the Thai population.MethodsA 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 coronavir...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-05-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2022.816464/full |
| _version_ | 1811306402642132992 |
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| author | Kunwadee Rojpaisarnkit Wonpen Kaewpan Supa Pengpid Supa Pengpid Karl Peltzer Karl Peltzer |
| author_facet | Kunwadee Rojpaisarnkit Wonpen Kaewpan Supa Pengpid Supa Pengpid Karl Peltzer Karl Peltzer |
| author_sort | Kunwadee Rojpaisarnkit |
| collection | DOAJ |
| description | ObjectivesTo identify factors influencing COVID-19 preventive behaviors among the Thai population.MethodsA 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.ResultsThe factors that mostly influenced COVID-19 prevention behaviors when controlling for the other variables are social support (β = 0.173, p < 0.001) follow by age (β = 0.162, p < 0.001), flu-like symptoms (β = 0.130, p < 0.001), gender (β = −0.084, p < 0.001), perceived risk of exposure (β = 0.035, p < 0.05), lock down policy (β = 0.029, p < 0.05), and residential area (β = −0.027, p < 0.05), respectively. These factors explained 52% of the COVID-19 preventive behaviors in Thai population.ConclusionThe 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. |
| first_indexed | 2024-04-13T08:44:54Z |
| format | Article |
| id | doaj.art-d37b4e3641a4487e8f1d811025176113 |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-04-13T08:44:54Z |
| publishDate | 2022-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-d37b4e3641a4487e8f1d8110251761132022-12-22T02:53:46ZengFrontiers Media S.A.Frontiers in Public Health2296-25652022-05-011010.3389/fpubh.2022.816464816464COVID-19 Preventive Behaviors and Influencing Factors in the Thai Population: A Web-Based SurveyKunwadee Rojpaisarnkit0Wonpen Kaewpan1Supa Pengpid2Supa Pengpid3Karl Peltzer4Karl Peltzer5Department of Public Health, Faculty of Sciences and Technology, Rajabhat Rajanagarindra University, Chachoengsao, ThailandDepartment of Public Health Nursing, Faculty of Public Health, Mahidol University, Bangkok, ThailandDepartment of Health Education and Behavioural Sciences, Faculty of Public Health, Mahidol University, Bangkok, ThailandDepartment of Research Administration and Development, University of Limpopo, Polokwane, South AfricaDepartment of Research Administration and Development, University of Limpopo, Polokwane, South AfricaDepartment of Psychology, College of Medical and Health Sciences, Asia University, Taichung, TaiwanObjectivesTo identify factors influencing COVID-19 preventive behaviors among the Thai population.MethodsA 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.ResultsThe factors that mostly influenced COVID-19 prevention behaviors when controlling for the other variables are social support (β = 0.173, p < 0.001) follow by age (β = 0.162, p < 0.001), flu-like symptoms (β = 0.130, p < 0.001), gender (β = −0.084, p < 0.001), perceived risk of exposure (β = 0.035, p < 0.05), lock down policy (β = 0.029, p < 0.05), and residential area (β = −0.027, p < 0.05), respectively. These factors explained 52% of the COVID-19 preventive behaviors in Thai population.ConclusionThe 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.https://www.frontiersin.org/articles/10.3389/fpubh.2022.816464/fullCOVID-19preventive behaviorsface mask wearinghand washingphysical distancing |
| spellingShingle | Kunwadee Rojpaisarnkit Wonpen Kaewpan Supa Pengpid Supa Pengpid Karl Peltzer Karl Peltzer COVID-19 Preventive Behaviors and Influencing Factors in the Thai Population: A Web-Based Survey Frontiers in Public Health COVID-19 preventive behaviors face mask wearing hand washing physical distancing |
| title | COVID-19 Preventive Behaviors and Influencing Factors in the Thai Population: A Web-Based Survey |
| title_full | COVID-19 Preventive Behaviors and Influencing Factors in the Thai Population: A Web-Based Survey |
| title_fullStr | COVID-19 Preventive Behaviors and Influencing Factors in the Thai Population: A Web-Based Survey |
| title_full_unstemmed | COVID-19 Preventive Behaviors and Influencing Factors in the Thai Population: A Web-Based Survey |
| title_short | COVID-19 Preventive Behaviors and Influencing Factors in the Thai Population: A Web-Based Survey |
| title_sort | covid 19 preventive behaviors and influencing factors in the thai population a web based survey |
| topic | COVID-19 preventive behaviors face mask wearing hand washing physical distancing |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2022.816464/full |
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