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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...

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Autores principales: Kasatpibal, Nongyao, Oberdorfer, Peninnah, Katip, Wasan, Mektrirat, Raktham, Wattananandkul, Usanee, Thummathai, Kwaunpanomporn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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