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Factors Predicting Practices in Prevention of COVID-19 and Impacts among Population in Chiang Mai, Thailand
Background and objectives: The pandemic of COVID-19 is a global concern requiring urgent and effective action. However, the data on prevention practices and the impact of COVID-19 among the Thai population have not been clearly described. This study aimed to examine the knowledge, attitudes, percept...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031495/ https://www.ncbi.nlm.nih.gov/pubmed/35454344 http://dx.doi.org/10.3390/medicina58040505 |
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author | Kasatpibal, Nongyao Oberdorfer, Peninnah Katip, Wasan Mektrirat, Raktham Wattananandkul, Usanee Thummathai, Kwaunpanomporn |
author_facet | Kasatpibal, Nongyao Oberdorfer, Peninnah Katip, Wasan Mektrirat, Raktham Wattananandkul, Usanee Thummathai, Kwaunpanomporn |
author_sort | Kasatpibal, Nongyao |
collection | PubMed |
description | Background and objectives: The pandemic of COVID-19 is a global concern requiring urgent and effective action. However, the data on prevention practices and the impact of COVID-19 among the Thai population have not been clearly described. This study aimed to examine the knowledge, attitudes, perception, practices, and factors predicting practices in the prevention of COVID-19 and to study the impact of COVID-19 on people’s livelihoods. Materials and Methods: A cross-sectional study was performed between April and November 2020. A questionnaire eliciting demographic data and information on knowledge, attitudes, perception, prevention practices, and impact of COVID-19 was given to 500 people who lived in Chiang Mai, and 480 usable questionnaires were returned, for a response rate of 96.0%. Data were analyzed using descriptive statistics and multivariate linear regression. Results: Less than half of the participants had a high level of knowledge (45.4%) about COVID-19. Most of them had a high level of attitudes (95.6%), perception (72.1%), and prevention practices (90.4%). Female (β = 0.11, p = 0.006), patient status (β = 0.17, p < 0.001), knowledge (β = −0.10, p = 0.020), attitudes (β = 0.37, p < 0.001), and perception (β = 0.21, p < 0.001) about COVID-19 prevention were the predicting factors for overall prevention practices (R(2) = 0.288). Most participants perceived the overall impact of COVID-19 at moderate and high levels (47.1 and 37.8%, respectively). The highest impact was an economic burden, followed by psychological, social, and physical impacts. Conclusions: Policymakers should enhance attitudes and perception about COVID-19 prevention to improve the COVID-19 prevention practices. This may help to reduce the new cases of COVID-19 and may result in reducing the impact of COVID-19 on people’s livelihoods. |
format | Online Article Text |
id | pubmed-9031495 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-90314952022-04-23 Factors Predicting Practices in Prevention of COVID-19 and Impacts among Population in Chiang Mai, Thailand Kasatpibal, Nongyao Oberdorfer, Peninnah Katip, Wasan Mektrirat, Raktham Wattananandkul, Usanee Thummathai, Kwaunpanomporn Medicina (Kaunas) Article Background and objectives: The pandemic of COVID-19 is a global concern requiring urgent and effective action. However, the data on prevention practices and the impact of COVID-19 among the Thai population have not been clearly described. This study aimed to examine the knowledge, attitudes, perception, practices, and factors predicting practices in the prevention of COVID-19 and to study the impact of COVID-19 on people’s livelihoods. Materials and Methods: A cross-sectional study was performed between April and November 2020. A questionnaire eliciting demographic data and information on knowledge, attitudes, perception, prevention practices, and impact of COVID-19 was given to 500 people who lived in Chiang Mai, and 480 usable questionnaires were returned, for a response rate of 96.0%. Data were analyzed using descriptive statistics and multivariate linear regression. Results: Less than half of the participants had a high level of knowledge (45.4%) about COVID-19. Most of them had a high level of attitudes (95.6%), perception (72.1%), and prevention practices (90.4%). Female (β = 0.11, p = 0.006), patient status (β = 0.17, p < 0.001), knowledge (β = −0.10, p = 0.020), attitudes (β = 0.37, p < 0.001), and perception (β = 0.21, p < 0.001) about COVID-19 prevention were the predicting factors for overall prevention practices (R(2) = 0.288). Most participants perceived the overall impact of COVID-19 at moderate and high levels (47.1 and 37.8%, respectively). The highest impact was an economic burden, followed by psychological, social, and physical impacts. Conclusions: Policymakers should enhance attitudes and perception about COVID-19 prevention to improve the COVID-19 prevention practices. This may help to reduce the new cases of COVID-19 and may result in reducing the impact of COVID-19 on people’s livelihoods. MDPI 2022-04-01 /pmc/articles/PMC9031495/ /pubmed/35454344 http://dx.doi.org/10.3390/medicina58040505 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kasatpibal, Nongyao Oberdorfer, Peninnah Katip, Wasan Mektrirat, Raktham Wattananandkul, Usanee Thummathai, Kwaunpanomporn Factors Predicting Practices in Prevention of COVID-19 and Impacts among Population in Chiang Mai, Thailand |
title | Factors Predicting Practices in Prevention of COVID-19 and Impacts among Population in Chiang Mai, Thailand |
title_full | Factors Predicting Practices in Prevention of COVID-19 and Impacts among Population in Chiang Mai, Thailand |
title_fullStr | Factors Predicting Practices in Prevention of COVID-19 and Impacts among Population in Chiang Mai, Thailand |
title_full_unstemmed | Factors Predicting Practices in Prevention of COVID-19 and Impacts among Population in Chiang Mai, Thailand |
title_short | Factors Predicting Practices in Prevention of COVID-19 and Impacts among Population in Chiang Mai, Thailand |
title_sort | factors predicting practices in prevention of covid-19 and impacts among population in chiang mai, thailand |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031495/ https://www.ncbi.nlm.nih.gov/pubmed/35454344 http://dx.doi.org/10.3390/medicina58040505 |
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