Health Status and Factors Associated with Self-Care among Older Adults

Article Sidebar

PDF
Published: Dec 30, 2020
Keywords:
elderly; health status; self-care of the elderly

Main Article Content

Niruwan Turnbull
Faculty of Public Health Mahasarakham University
Wilawun Chada
Faculty of Public Health Mahasarakham University
Wipa Chuppawa
Faculty of Public Health Mahasarakham University
Saowaluk Seedaket
Sirindhorn College of Public Health Khon Kaen Province
Sutin Chanaboon
Sirindhorn College of Public Health Khon Kaen Province
Benchapon Sangswai
Phon Ngam Sub District Chaloem Phrakiat Health Center
Supaporn Chaichanwattana
Nonglak Tangpratchayakun
Phon Ngam Sub District Administration Organization

Abstract

This cross sectional study aims to investigate health status and factors related to self-care of the older adults in Phon Ngam, Kamalasai district, Kalasin Province. The participants consisted of 1,348 elderly from 13 villages. Data were collected using an interview form and analyzed using descriptive statistics, such as Frequency, Mean, Standard deviation and Pearson’s product moment correlation coefficient. The results revealed that the majority of the elderly were socially independent group, earning less than 5,000 baht per month , and have a lower body mass index (58.6%), with most receiving health checks. Most of the elderly suffered with hypertension and problems associated with joints, bones, muscles, and chronic back pain. The association factors with self-care of the elderly, which correlated in the same direction including; gender (C=.084, p=.009), the history of annual physical examination (C=.198, p-value<.001) and the average monthly income (r=.063, p=.036). Regarding the age of the elderly, it was found that there is an inverse relationship with the self-care of the elderly (r=-.117, p<.001). Knowledge of self-care and attitudes towards self-care were also correlated in the same direction of self-care in the elderly (r=.268, p<.001, r=.103 p=.036 respectively). Therefore, responsible and involved organizations should arrange training programs to increase knowledge about health care for the elderly. This should also include managing welfare of the state such as social allowances to promote or increase income for the elderly. The local stakeholders should be included in organizing learning processes to improve the various skills for particular work career to increase their income. Accordingly, it will lead to a better quality of life for the elderly.

Article Details

How to Cite
1.
Turnbull N, Chada W, Chuppawa W, Seedaket S, Chanaboon S, Sangswai B, Chaichanwattana S, Tangpratchayakun N. Health Status and Factors Associated with Self-Care among Older Adults. NJPH (วารสาร พ.ส.) [Internet]. 2020 Dec. 30 [cited 2024 Apr. 25];30(3):35-49. Available from: https://he02.tci-thaijo.org/index.php/tnaph/article/view/248460
Issue
Vol. 30 No. 3 (2020): September - December
Section
บทความวิจัย

บทความและรายงานวิจัยในวารสารพยาบาลกระทรวงสาธารณสุข เป็นความคิดเห็นของ ผู้เขียน มิใช่ของคณะผู้จัดทำ และมิใช่ความรับผิดชอบของสมาคมศิษย์เก่าพยาบาลกระทรวงสาธารณสุข ซึ่งสามารถนำไปอ้างอิงได้

References

1. Department of Older Person. ASEAN elderly population [Internet]. Bangkok;2016. [cited 2020 May 27]. Available from: http://www.dop.go.th/download/knowledge/knowledge_th_20161309100713_1.pdf.

2. Wichai A. Report of the Thai public health survey by physical examination No.5. Bangkok;2014. [cited 2020 May 27]. Available from: https://kb.hsri.or.th/

3. National Health Security Office. A guide to support the management of long-term health care services for the elderly who are dependent in the national health insurance system. 1st ed. Bangkok;2016.

4. Kalasin statistical office. Situation and perspectives on the elderly, Kalasin Province 2017 [Internet]. Kalasin;2018. [cited 2020 April 6]. Available from: http://kalasin.nso.go.th/images attachments/Info.News/Info.News2561/009Sep/1004older61 up.pdf.

5. Phon Ngam Chaloem Phrakiat Health Center. Demographic data of people preparing to enter the elderly age 50-59 years. Kalasin;2018.

6. Cho YI, Lee SY, Arozullah AM, Crittenden KS. Effects of health literacy on health status and health service utilization amongst the elderly. Social science & medicine 2008;66(8):1809-16.

7. Unsar S, N Sut. Depression and health status in elderly hospitalized patients with chronic illness. Archives of Gerontology and Geriatrics 2010;50(1):6-10.

8. Boongird C. Comprehensive Geriatric Assessment (CGA): how to change the system of primary care. J PCFM 2009;32-36.

9. Daipratham MR, Juntham P, Pianmanak S, Jantharakasamjit S, Yuwan A. The inter-rater reliability of Barthel Index (Thai version) in stroke patients. J Thai Rehab medicine 2006;1:1-9.

10. Promkhun T, Sakheamjit P, Piromjitpong S. Self-health care behaviors of senior people in Sisaket province. RDHS J 2557;7(1):133-45.

11. Bloom BS. Taxonomy of educational objectives. 1st ed: Cognitive domain. New York:McKay;1956.

12. Yuker HE, Hurley MK. Contact with and attitudes toward persons with disabilities: the measurement of intergroup contact. Rehabilitation Psychology 1987;32(3):145-54.

13. Tritipsombut J, Kaopimai C, Sornchamnong W, Thoengnog W, Thuengthao S, Yoongklang A. Health care behaviors of the elders using 11 basic elements for health. Srinagarind Med J 2015;30(5):482-90.

14. Prapaipanich N. An exploratory study of the relationship between household size and individuals’ subjective well-being in case of elderly’s living in Bangkok. J Humanities and Social Sciences 2018;10(19):46-58.

15. Van OT. Socio-economic inequality in ill-health amongst the elderly: should one use current or permanent income. J Health Economics 2003;22(2):219-41.

16. Pollock H, House JS, Schoeni RF. Income support policies and health among the elderly. In: Schoeni RF, House JS, Kaplan GA, Pollock H, editors. Making Americans healthier: social and economic policy as health policy. New York: Russell Sage Foundation;2010:97-121.

17. Sararuk M, Nganchamung T, Krasuaythong N. Health status and health behaviors among elderly in Kham Kwang sub-district, Warin Chamrap District, Ubon Ratchathani Province. Srinagarind Medical J 2020;35(3):304-10.

18. Joyce GF, Keeler EB, Shang B, Goldman DP. The lifetime burden of chronic disease among the elderly: reducing chronic illness in future elderly cohorts will have only modest effects on medicare’s financial stability. Health Affairs 2005;24:W5-R18.

19. Fukumoto Y, Ikezoe T, Yamada Y, Tsukagoshi R, Nakamura M, Mori N, et al. Skeletal muscle quality assessed from echo intensity is associated with muscle strength of middle-aged and elderly persons. Eu J applied physiology 2012;112(4):1519-25.

20. Thunyaporn S. Under the mask of elderly. Blog of Good Factory, a Bangkok-Based Social Innovation Design Consultancy [Internet]. Bangkok;2017. [cited 2020 April 6]. Available from: https://blog.goodfactory.co.

21. Sukchot S, Hongwityakorn U. An analysis of factors related to active ageing preparation. DRU J 2016;10(2):62-76

22. Seddon JM, Cote J, Davis N, Rosner B. Progression of age-related macular degeneration: association with body mass index, waist circumference, and waist-hip ratio. Ar ophthalmology 2003;121(6):785-92.

23. Hebert R, Brayne C, Spiegelhalter D. Factors associated with functional decline and improvement in a very elderly community-dwelling population. Am J Epidemiology 1999;150(5):501-10.

24. Porsing R, Hansakul A. Effectiveness of learning programs knowledge and self-care behaviors in participatory learning to elderly’s Nongbuakhok sub-district, Chatturat district, Chaiyaphum province. Journal of the office of DPC 6 Khon Kaen 2019;19(1):39-53.

25. Jugsingto C. Effectiveness of health behavior modification program in health risk group for diabetes hypertention and obesity. Rajabhat Rajanagarindra University;2017.