Factors Predicting The COVID-19 Preventive Behaviors among Elderly

Main Article Content

Saowanee Soboon
Darunee Jaisawhang

Abstract

Purpose: to study factors affecting the COVID-19 preventive behaviors among the Elderly.


Design: Descriptive predictive research


Methods: Samples were 384 Elderly who lived in Ubon Ratchathani province. Samples were selected by the Multistage random sampling. Data were collected using questionnaires: demographic data form, Planned behavior Interview, Health literacy Interview and the COVID-19 preventive behaviors Interview. Data were analyzed using stepwise multiple regression.


Results: The finding revealed that 1) the elderly had a high level of the COVID-19 preventive behaviors ( = 54.51, SD=7.91),2) the significant predictors of the COVID-19 preventive behaviors included Health literacy (Beta= .515, p < .001), and Behavior Intention (Beta = .365, p < .001 ) was able to predict the COVID-19 preventive behaviors of the elderly at 61.80 percentages.


Conclusion: Result findings can provide an evidenced data for the development of
the program to promote the COVID-19 preventive behaviors of the elderly

Article Details

Section
Research articles

References

Kissler SM, Tedijanto C, Goldstein E, Grad YH, Lipsitch M. Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period. Science [Internet]. 2020 [cited 2024 Jul 15];368(6493):860-8. Available from: https://pubmed.ncbi.nlm.nih.gov/ 32291278/ doi:10.1126/science.abb5793 PubMed PMID: 32291278 PubMed Central PMCID: PMC7164482

World Health Organization. WHO Thailand Weekly Situation Update No. 243 [Internet]. 2022 [cited 2023 Apr 22]. Available from: https://cdn.who.int/media/docs/default-source/searo/thailand/2022_07_27_tha-sitrep-243-covid-19th.pdf?sfvrsn=aa280967_1.

Khotsopa T, Chumpangern W. Pulmonary Rehabilitation for Patient with COVID-19. Srinagarind Medical Journal. 2022;37(6): 705-13. [In Thai].

Singhal S, Kumar P, Singh S, Saha S, Dey AB. Clinical features and outcomes of COVID-19 in older adults: a systematic review and meta-analysis. BMC Geriatr [Internet]. 2021 [cited 2024 Jul 15]; 21(1):321. Available from: https://pubmed.ncbi.nlm.nih.gov/34011269/ doi: 10.1186/s12877-021-02261-3 PubMed PMID: 34011269 PubMed PMCID: PMC8133052

Chamnandee C, Kespichayawattana J. Illness experiences of older persons infected by coronavirus 2019. Journal of Nursing Science Chulalongkorn University. 2023;35(1):51-64. [In Thai].

Yothasupap A. Factor associated with COVID-19 preventive behavior during the covid-19 pandemic situation among the elderly in Mueang District, Pathumtani Province. VRU Research and Development Journal Science and Technology. 2023;18(3):105-19. [In Thai].

Luevanich C, Sungthong J, Jitjamnong A, Pichaikan S, Tantiwiboonchai N, Sianglam A, et al. Health Literacy and New Normal Among Phuket Province Residents Towards COVID-19 Prevention. Journal of Nursing and Health Sciences. 2020;14(3):73-88. [In Thai].

Ruamsook T, Araya Tipwong A, Kanokwan Duangklad K, Nanthamongkolchai S. Correlation between Health Literacy and Preventive Behaviors of COVID-19 among Older persons in a senior citizen club, Bangkok Metropolis. Journal of Public Health Nursing. 2023;37(3):35-47. [In Thai].

Unai K, Chaiwang P, Korakodkamchon B, Panjarean D. Health Literacy and Behaviors to Prevent COVID-19 Among Older Persons at Risk for Dementia in a Rural Community in Chiang Rai Province. Nursing Journal CMU. 2022;49(1):200-11. [In Thai].

Nutbeam D. The evolving concept of health literacy. Soc Sci Med [Internet]. 2008 [cited 2024 Jul 15];67(12): 2072-8. Available from: https://www.sciencedirect.com/science/ article/pii/S0277953608004577 doi: 10.1016/j.socscimed.2008.09.050

Kaeodumkoeng K. Health Literacy: function interaction critical. Bangkok: Amarin; 2019. 167 p. [In Thai].

Prasetyo YT, Castillo AM, Salonga LJ, Sia JA, Seneta JA. Factors affecting perceived effectiveness of COVID-19 prevention measures among Filipinos during Enhanced Community Quarantine in Luzon, Philippines: Integrating Protection Motivation Theory and extended Theory of Planned Behavior. Int J Infect Dis [Internet]. 2020 [cited 2024 Jul 15];99:312-23. Available from: https://pubmed.ncbi.nlm.nih.gov/32768695/ doi: 10.1016/j.ijid.2020.07.074 PubMed PMID: 32768695 PubMed PMCID: PMC7406473

Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process [Internet]. 1991 [cite 2024 Jul 15]; 50(2):179–211. Available from: https://www.sciencedirect.com/science/ article/pii/ 074959789190020T doi: 10.1016/0749-5978(91)90020-T

Krejcie RV, Morgan DW. Determining Sample Size for Research Activities. Educ Psychol Meas [Internet]. 1970 [cited 2024 Jul15];30(3):607–10. Available from: https://journals. sagepub.com/doi/10.1177/001316447003000308

Department of disease control, Ministry of Public Health [Internet]. Thailand: Guidelines for prevention of coronavirus disease 2019 (COVID-19) or COVID-19 for the general public and at-risk groups. [cited 2021 Aug 30]. Available from: https://ddc.moph.go.th/viralpneumonia/ file/int_protection/int_protection_ 030164.pdf

Hongpanich P. Factors Influencing COVID -19 Prevention Behaviors of the peoples in Pathumthani Province. The Journal of Pacific Institute of Management Science (Humanities and Social Sciences). 2021;7(3):174-85. [In Thai].

Ruankham P, Kongsin S, Jiamton S, Sattayasomboon Y, Uthis P. Factors Associated with Preventive Behaviors Against COVID-19 SAR-COV-2 among the Adult Population: a Case Study of Chom Thong District, Bangkok Metropolitan. Journal of Health Science. 2022;31 (Suppl):247-59. [In Thai].

Sriratanaprapat J, Klommek J. Knowledge, Attitudes, and Practices towards COVID-19 among Working-Age Population in Muak Lek Subdistrict, Muak Lek District, Saraburi Province. Journal of The Royal Thai Army Nurses. 2022;23(1):437-45. [In Thai].