Cargando…
Factors Predicting the Coronavirus Disease 2019 Preventive Behaviors of Older Adults: A Cross-Sectional Study in Bangkok, Thailand
The coronavirus disease 2019 (COVID-19) pandemic has affected the health behaviors of older adults. Thus, the factors predicting the COVID-19 preventive behaviors of older adults during the COVID-19 outbreak should be examined. Therefore, this study aimed to assess the COVID-19 preventive behaviors...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407893/ https://www.ncbi.nlm.nih.gov/pubmed/36011996 http://dx.doi.org/10.3390/ijerph191610361 |
_version_ | 1784774474350985216 |
---|---|
author | Upake, Chunphen Nanthamongkolchai, Sutham Taechaboonsermsak, Pimsurang Yodmai, Korravarn Suksatan, Wanich |
author_facet | Upake, Chunphen Nanthamongkolchai, Sutham Taechaboonsermsak, Pimsurang Yodmai, Korravarn Suksatan, Wanich |
author_sort | Upake, Chunphen |
collection | PubMed |
description | The coronavirus disease 2019 (COVID-19) pandemic has affected the health behaviors of older adults. Thus, the factors predicting the COVID-19 preventive behaviors of older adults during the COVID-19 outbreak should be examined. Therefore, this study aimed to assess the COVID-19 preventive behaviors of older adults and explore the factors predicting these. A cross-sectional study was performed with 400 older adults who were selected using the cluster sampling technique. The associations of all variables in preventing COVID-19 infection with COVID-19 preventive behaviors were examined using stepwise multiple regression. The study results revealed that 70.8% of the study participants had high levels of COVID-19 preventive behaviors. Among these, self-efficacy in preventing COVID-19 infection (β = 0.224) showed the highest ability to predict COVID-19 preventive behaviors, followed by COVID-19 response efficacy (β = 0.171), knowledge about COVID-19 (β = 0.110), and gender (β = −0.102). Older adults adopted protective behaviors at the beginning of the COVID-19 pandemic. The predictors of these behaviors should be considered while designing and developing appropriate COVID-19 preventive behavior interventions, aimed at inducing behavioral modifications to reduce further infection with and spread of COVID-19. |
format | Online Article Text |
id | pubmed-9407893 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94078932022-08-26 Factors Predicting the Coronavirus Disease 2019 Preventive Behaviors of Older Adults: A Cross-Sectional Study in Bangkok, Thailand Upake, Chunphen Nanthamongkolchai, Sutham Taechaboonsermsak, Pimsurang Yodmai, Korravarn Suksatan, Wanich Int J Environ Res Public Health Article The coronavirus disease 2019 (COVID-19) pandemic has affected the health behaviors of older adults. Thus, the factors predicting the COVID-19 preventive behaviors of older adults during the COVID-19 outbreak should be examined. Therefore, this study aimed to assess the COVID-19 preventive behaviors of older adults and explore the factors predicting these. A cross-sectional study was performed with 400 older adults who were selected using the cluster sampling technique. The associations of all variables in preventing COVID-19 infection with COVID-19 preventive behaviors were examined using stepwise multiple regression. The study results revealed that 70.8% of the study participants had high levels of COVID-19 preventive behaviors. Among these, self-efficacy in preventing COVID-19 infection (β = 0.224) showed the highest ability to predict COVID-19 preventive behaviors, followed by COVID-19 response efficacy (β = 0.171), knowledge about COVID-19 (β = 0.110), and gender (β = −0.102). Older adults adopted protective behaviors at the beginning of the COVID-19 pandemic. The predictors of these behaviors should be considered while designing and developing appropriate COVID-19 preventive behavior interventions, aimed at inducing behavioral modifications to reduce further infection with and spread of COVID-19. MDPI 2022-08-19 /pmc/articles/PMC9407893/ /pubmed/36011996 http://dx.doi.org/10.3390/ijerph191610361 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 Upake, Chunphen Nanthamongkolchai, Sutham Taechaboonsermsak, Pimsurang Yodmai, Korravarn Suksatan, Wanich Factors Predicting the Coronavirus Disease 2019 Preventive Behaviors of Older Adults: A Cross-Sectional Study in Bangkok, Thailand |
title | Factors Predicting the Coronavirus Disease 2019 Preventive Behaviors of Older Adults: A Cross-Sectional Study in Bangkok, Thailand |
title_full | Factors Predicting the Coronavirus Disease 2019 Preventive Behaviors of Older Adults: A Cross-Sectional Study in Bangkok, Thailand |
title_fullStr | Factors Predicting the Coronavirus Disease 2019 Preventive Behaviors of Older Adults: A Cross-Sectional Study in Bangkok, Thailand |
title_full_unstemmed | Factors Predicting the Coronavirus Disease 2019 Preventive Behaviors of Older Adults: A Cross-Sectional Study in Bangkok, Thailand |
title_short | Factors Predicting the Coronavirus Disease 2019 Preventive Behaviors of Older Adults: A Cross-Sectional Study in Bangkok, Thailand |
title_sort | factors predicting the coronavirus disease 2019 preventive behaviors of older adults: a cross-sectional study in bangkok, thailand |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407893/ https://www.ncbi.nlm.nih.gov/pubmed/36011996 http://dx.doi.org/10.3390/ijerph191610361 |
work_keys_str_mv | AT upakechunphen factorspredictingthecoronavirusdisease2019preventivebehaviorsofolderadultsacrosssectionalstudyinbangkokthailand AT nanthamongkolchaisutham factorspredictingthecoronavirusdisease2019preventivebehaviorsofolderadultsacrosssectionalstudyinbangkokthailand AT taechaboonsermsakpimsurang factorspredictingthecoronavirusdisease2019preventivebehaviorsofolderadultsacrosssectionalstudyinbangkokthailand AT yodmaikorravarn factorspredictingthecoronavirusdisease2019preventivebehaviorsofolderadultsacrosssectionalstudyinbangkokthailand AT suksatanwanich factorspredictingthecoronavirusdisease2019preventivebehaviorsofolderadultsacrosssectionalstudyinbangkokthailand |