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Factors Predicting the Coronavirus Disease 2019 Preventive Behaviors of Older Adults: A Cross-Sectional Study in Bangkok, Thailand

Author

Listed:
  • Chunphen Upake

    (Department of Family Health, Faculty of Public Health, Mahidol University, Bangkok 10400, Thailand)

  • Sutham Nanthamongkolchai

    (Department of Family Health, Faculty of Public Health, Mahidol University, Bangkok 10400, Thailand)

  • Pimsurang Taechaboonsermsak

    (Department of Family Health, Faculty of Public Health, Mahidol University, Bangkok 10400, Thailand)

  • Korravarn Yodmai

    (Department of Family Health, Faculty of Public Health, Mahidol University, Bangkok 10400, Thailand)

  • Wanich Suksatan

    (Faculty of Nursing, HRH Princess Chulabhorn College of Medical Science, Chulabhorn Royal Academy, Bangkok 10210, Thailand)

Abstract

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.

Suggested Citation

  • Chunphen Upake & Sutham Nanthamongkolchai & Pimsurang Taechaboonsermsak & Korravarn Yodmai & Wanich Suksatan, 2022. "Factors Predicting the Coronavirus Disease 2019 Preventive Behaviors of Older Adults: A Cross-Sectional Study in Bangkok, Thailand," IJERPH, MDPI, vol. 19(16), pages 1-10, August.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:16:p:10361-:d:892987
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    References listed on IDEAS

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    1. Sunhee Kim & Seoyong Kim, 2020. "Analysis of the Impact of Health Beliefs and Resource Factors on Preventive Behaviors against the COVID-19 Pandemic," IJERPH, MDPI, vol. 17(22), pages 1-21, November.
    2. Nicolás Bronfman & Paula Repetto & Paola Cordón & Javiera Castañeda & Pamela Cisternas, 2021. "Gender Differences on Psychosocial Factors Affecting COVID-19 Preventive Behaviors," Sustainability, MDPI, vol. 13(11), pages 1-12, May.
    3. Bach Xuan Tran & Anh Kim Dang & Phong Khanh Thai & Huong Thi Le & Xuan Thanh Thi Le & Toan Thanh Thi Do & Tu Huu Nguyen & Hai Quang Pham & Hai Thanh Phan & Giang Thu Vu & Dung Tri Phung & Son Hong Ngh, 2020. "Coverage of Health Information by Different Sources in Communities: Implication for COVID-19 Epidemic Response," IJERPH, MDPI, vol. 17(10), pages 1-12, May.
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    1. Weerawat Ounsaneha & Orapin Laosee & Thunwadee Tachapattaworakul Suksaroj & Cheerawit Rattanapan, 2023. "Preventive Behaviors and Influencing Factors among Thai Residents in Endemic Areas during the Highest Epidemic Peak of the COVID-19 Outbreak," IJERPH, MDPI, vol. 20(3), pages 1-13, January.

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