INTRODUCTION/ OBJECTIVES: The coronavirus disease 2019 (COVID-19) pandemic has affected mobility and mortality entire age, especially older adults. The COVID-19 preventive behaviors among older adults during the pandemic should be determined. To our knowledge, little is known about the preventive behavior during the COVID-19 pandemic among older adults living in urban areas in Thailand and the factors predicted to their behavior. Hence, the present study aimed to assess COVID-19 preventive behaviors among older adults and to identify the associated factors. METHODS: This cross-sectional study included 421 participants aged ≥60 years. Data were analyzed using descriptive statistics, binary and multiple logistic regression analysis. RESULTS: We found that 321 (72.6%) of the participants had good COVID-19 preventive behaviors. Moreover, 83.4% of the participants had good family support and 58.2% had easy access to health information. Only sufficient income (odds ratio [OR]: 1.76, 95% confidence interval [CI]: 1.04-2.97), easy access to health services (OR: 3.66, 95% CI: 1.42-9.45) and protective material (OR: 1.98, 95% CI: 1.14-3.45), and good family support (OR: 2.05, 95% CI: 1.10-3.82) were associated with good COVID-19 preventive behaviors. In contrast, health literacy, access to health information, and neighbor and health personnel support were not associated with COVID-19 preventive behaviors. CONCLUSION: Based on the present results, interdisciplinary healthcare teams should consider social support, and access to healthcare when developing interventions for encouraging and promoting health outcomes in order to improve physical and psychological COVID-19 preventive behaviors, particularly among elderly people living in urban communities during the COVID-19 pandemic.
INTRODUCTION/ OBJECTIVES: The coronavirus disease 2019 (COVID-19) pandemic has affected mobility and mortality entire age, especially older adults. The COVID-19 preventive behaviors among older adults during the pandemic should be determined. To our knowledge, little is known about the preventive behavior during the COVID-19 pandemic among older adults living in urban areas in Thailand and the factors predicted to their behavior. Hence, the present study aimed to assess COVID-19 preventive behaviors among older adults and to identify the associated factors. METHODS: This cross-sectional study included 421 participants aged ≥60 years. Data were analyzed using descriptive statistics, binary and multiple logistic regression analysis. RESULTS: We found that 321 (72.6%) of the participants had good COVID-19 preventive behaviors. Moreover, 83.4% of the participants had good family support and 58.2% had easy access to health information. Only sufficient income (odds ratio [OR]: 1.76, 95% confidence interval [CI]: 1.04-2.97), easy access to health services (OR: 3.66, 95% CI: 1.42-9.45) and protective material (OR: 1.98, 95% CI: 1.14-3.45), and good family support (OR: 2.05, 95% CI: 1.10-3.82) were associated with good COVID-19 preventive behaviors. In contrast, health literacy, access to health information, and neighbor and health personnel support were not associated with COVID-19 preventive behaviors. CONCLUSION: Based on the present results, interdisciplinary healthcare teams should consider social support, and access to healthcare when developing interventions for encouraging and promoting health outcomes in order to improve physical and psychological COVID-19 preventive behaviors, particularly among elderly people living in urban communities during the COVID-19 pandemic.
Entities:
Keywords:
COVID-19; access to health services; health behavior; health literacy; social support; urban communities
Authors: Yanping Duan; Sonia Lippke; Wei Liang; Borui Shang; Franziska Maria Keller; Petra Wagner; Julien Steven Baker; Jiali He Journal: Int J Environ Res Public Health Date: 2022-05-24 Impact factor: 4.614
Authors: Chunphen Upake; Sutham Nanthamongkolchai; Pimsurang Taechaboonsermsak; Korravarn Yodmai; Wanich Suksatan Journal: Int J Environ Res Public Health Date: 2022-08-19 Impact factor: 4.614