IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i16p10361-d892987.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/16/10361/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/16/10361/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sutham Nanthamongkolchai & Pimsurang Taechaboonsermsak & Kanasap Tawatting & Wanich Suksatan, 2022. "Health-Risk Behaviors, COVID-19 Preventive Behaviors, and the Impact of the COVID-19 Pandemic on the Working-Age Population of Bangkok, Thailand," IJERPH, MDPI, vol. 19(20), pages 1-10, October.
    2. Mohammad Khatib & Ivonne Mansbach-Kleinfeld & Doaa Zaid & Anneke Ifrah & Malik Yousef & Ahmad Sheikh Muhammad, 2023. "Compliance with COVID-19 Regulations among Palestinian Citizens of Israel in the Context of Social Norms and Gender Roles," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
    3. Sunhee Park & Beomsoo Kim & Kyoung A. Kim, 2021. "Preventive Behavioral Insights for Emerging Adults: A Survey during the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(5), pages 1-10, March.
    4. Eugene Song & Jae-Eun Lee & Seola Kwon, 2021. "Effect of Public Empathy with Infection-Control Guidelines on Infection-Prevention Attitudes and Behaviors: Based on the Case of COVID-19," IJERPH, MDPI, vol. 18(24), pages 1-18, December.
    5. Sepahvand, Mohammad H. & Verwimp, Philip, 2023. "Fighting Covid-19 amidst civil conflict: Micro-level evidence from Burkina Faso," World Development, Elsevier, vol. 170(C).
    6. Mariusz Duplaga, 2022. "The Roles of Health and e-Health Literacy, Conspiracy Beliefs and Political Sympathy in the Adherence to Preventive Measures Recommended during the Pandemic," IJERPH, MDPI, vol. 19(14), pages 1-13, July.
    7. Elsie Yan & Daniel W. L. Lai & Vincent W. P. Lee & Haze K. L. Ng, 2021. "Predicting Public Adherence to COVID-19 Preventive Measures: A Cross-Sectional Study in Hong Kong," IJERPH, MDPI, vol. 18(23), pages 1-11, November.
    8. Jessica Hammersley & Carey Mather & Karen Francis, 2021. "Lessons for Workforce Disaster Planning from the First Nosocomial Outbreak of COVID-19 in Rural Tasmania, Australia: A Case Study," IJERPH, MDPI, vol. 18(15), pages 1-17, July.
    9. Xiaodong Yang & Lai Wei & Zhiyue Liu, 2022. "Promoting COVID-19 Vaccination Using the Health Belief Model: Does Information Acquisition from Divergent Sources Make a Difference?," IJERPH, MDPI, vol. 19(7), pages 1-15, March.
    10. Yo-Wen Liang & Jeng Wang & Shu-Ping Yu & Jin-Kwan Lin & Allan Chung, 2022. "Creating a Healthy Life for the Elderly through Participation in Self-Media: A Study on the Demands of the Elderly in Self-Media," IJERPH, MDPI, vol. 19(19), pages 1-18, October.
    11. Ignacio Hernández-García & Teresa Giménez-Júlvez, 2020. "Characteristics of YouTube Videos in Spanish on How to Prevent COVID-19," IJERPH, MDPI, vol. 17(13), pages 1-10, June.
    12. Rubeena Zakar & Ain ul Momina & Ruhma Shahzad & Sara Shahzad & Mahwish Hayee & Muhammad Zakria Zakar & Florian Fischer, 2022. "COVID-19 Vaccination Acceptance in the Context of the Health Belief Model: Comparative Cross-Sectional Study in Punjab, Pakistan," IJERPH, MDPI, vol. 19(19), pages 1-14, October.
    13. Bansal, Prateek & Kessels, Roselinde & Krueger, Rico & Graham, Daniel J., 2022. "Preferences for using the London Underground during the COVID-19 pandemic," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 45-60.
    14. Jiabin Li & Xianwei Liu & Yang Zou & Yichu Deng & Meng Zhang & Miaomiao Yu & Dongjiao Wu & Hao Zheng & Xinliang Zhao, 2021. "Factors Affecting COVID-19 Preventive Behaviors among University Students in Beijing, China: An Empirical Study Based on the Extended Theory of Planned Behavior," IJERPH, MDPI, vol. 18(13), pages 1-17, June.
    15. Dan Wang & Hsi-Lin Liu & Ching-Cheng Shen, 2022. "Exploring the Influence of Perceived Epidemic Severity and Risk on Well-Being in Nature-Based Tourism—Taking China’s Post-1990 Generation as an Example," Sustainability, MDPI, vol. 14(18), pages 1-14, September.
    16. Anne M. Foreman & Amel Omari & Kristin J. Marks & Alyssa N. Troeschel & Emily J. Haas & Susan M. Moore & Ethan Fechter-Leggett & Ju-Hyeong Park & Jean M. Cox-Ganser & Scott A. Damon & Shannon Soileau , 2024. "Knowledge, Attitudes, and Practices Related to Mold Remediation Following Hurricane Ida in Southeast Louisiana," IJERPH, MDPI, vol. 21(11), pages 1-20, October.
    17. Imane Berni & Aziza Menouni & Younes Filali Zegzouti & Marie-Paule Kestemont & Lode Godderis & Samir El Jaafari, 2021. "MAROCOVID: Snapshot Monitoring of Knowledge and Perceptions of Safety Behaviors during the COVID-19 Outbreak in Morocco," IJERPH, MDPI, vol. 18(11), pages 1-13, May.
    18. Bandar Alsaif & Najm Eldinn Elsser Elhassan & Ramaiah Itumalla & Kamal Elbassir Ali & Mohamed Ali Alzain, 2021. "Assessing the Level of Awareness of COVID-19 and Prevalence of General Anxiety Disorder among the Hail Community, Kingdom of Saudi Arabia," IJERPH, MDPI, vol. 18(13), pages 1-10, June.
    19. Seoyong Kim & Sunhee Kim, 2020. "Searching for General Model of Conspiracy Theories and Its Implication for Public Health Policy: Analysis of the Impacts of Political, Psychological, Structural Factors on Conspiracy Beliefs about the," IJERPH, MDPI, vol. 18(1), pages 1-28, December.
    20. Aarthi Raghavan & Mehmet Akif Demircioglu & Serik Orazgaliyev, 2021. "COVID-19 and the New Normal of Organizations and Employees: An Overview," Sustainability, MDPI, vol. 13(21), pages 1-19, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:16:p:10361-:d:892987. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.