Factors Predicting Self-Care Behavior among Older Adults with Type 2 Diabetes Mellitus

Main Article Content

Kanokporn Lakerd
Phichpraorn Youngcharoen
Apinya Siripitayakunkit

Abstract

Diabetes is a non-communicable disease that is a major public health problem and affects the quality of life, especially among older adults. Older adults with diabetes will experience changes in the body due to increasing age, further affecting self-care behavior. Understanding the predicting factors of self-care behavior of older adults with type 2 diabetes will be helpful to properly create a nursing care plan in promoting self-care behaviors for older adults with type 2 diabetes mellitus. This descriptive predictive study aimed to investigate the predictability of cognitive function, ability to perform daily activities, perceived self-esteem, and social support to self-care behavior in older adults with type 2 diabetes mellitus. The sample consisted of 141 older adults diagnosed with type 2 diabetes who came to follow-up at the outpatient department of internal medicine specializing in diabetes, thyroid, and hormone clinics at King Chulalongkorn Memorial Hospital. The sample was selected through purposive sampling. The inclusion criteria included older adults who were aged 60 years and older, diagnosed with type 2 diabetes by a doctor at least six months, able to communicate in Thai, and willing to participate by signing a consent form. Data were collected between November 2022 and July 2023 through interviewing with older adults using a demographic questionnaire, the Montreal Cognitive Assessment (MOCA),the Summary of Diabetes Self-care Activities Measure, the Rosenberg’s Self-Esteem Scale, the Social Support Questionnaire, and the Chula Activities of Daily Living Index. Inter-rater reliability of the Montreal Cognitive Assessment (MOCA) was .99. Cronbach’s alpha coefficients of the Summary of Diabetes Self-care Activities Measure, the Rosenberg’s Self-Esteem Scale, the Social Support Questionnaire, and the Chula Activities of Daily Living Index were .75, .87, .87,and .88, respectively. The data were analyzed using descriptive statistics, Pearson’s correlation coefficients, Spearman’s rank correlation coefficient, and hierarchical multiple linear regression analysis.


Findings revealed that participants were aged 60-69 years (51.10%), with 62.40%being female. Most of them were married (61.00%), had a family history of diabetes (69.50%),and the duration of diabetes was 21-30 years (33.30%). Participants had mild cognitive impairment (mean = 21.48, SD = 2.64), a good level of ability to perform daily activities (mean= 8.38, SD = 0.99), a high level of perceived self-esteem (mean = 31.38, SD = 2.99), a high level of social support (mean = 64.06 , SD = 12.01) and a high level of self-care behavior(mean = 95.17 , SD = 13.72). All predictive variables could together explain 15.10% of the variance in self-care behavior (adjusted R2 = .15). Social support was the only variable significantly predicting self-care behavior (β = .38, p < .01). Meanwhile, cognitive function,perceived self-esteem, and ability to perform daily activities did not significantly predict self-care behavior in older adult patients with type 2 diabetes (β = -.01, p > .05; β = .03, p > .05; and β = .15, p > .05, respectively). The results from this study indicated that social support was a crucial predictor of self-care behavior in older adults with type 2 diabetes. Therefore, social support from family members, friends, and healthcare team members should be integrated into the intervention program to promote self-care behavior among older adults with type 2 diabetes,thereby achieving better health outcomes.


Keywords: Ability to perform daily activities, Cognitive function, Diabetes mellitus, Older adults,Self-care behavior

Article Details

How to Cite
1.
Lakerd K, Youngcharoen P, Siripitayakunkit A. Factors Predicting Self-Care Behavior among Older Adults with Type 2 Diabetes Mellitus. Nurs Res Inno J [internet]. 2025 Aug. 28 [cited 2026 Feb. 14];31(2). available from: https://he02.tci-thaijo.org/index.php/RNJ/article/view/274016
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Research Articles

References

Schernthaner G, Schernthaner-Reiter MH. Diabetes in the older patient: heterogeneity requires individualisation of therapeutic strategies. Diabetologia. 2018;61(7):1503-16.

Centers for Disease Control and Prevention. National diabetes statistics report 2020; 2020 [cited 2021September 19]. Available from https://www.cdc.gov/diabetes/pdfs/data/statistics/national-diabetes-statistics-report.pdf

Australian Institude of Health and Welfare. Older Australia at a glance; 2021 [cited 2021 October 12]. Available from https://www.aihw.gov.au/reports/older-people/older-australia-at-a-glance/contents/summary

Department of Medicine Services. Clinical complication in type 2 diabetic patients. Bangkok: WVO Office of Printing Mill; 2011. (inThai)

Aiamanan M. Depression in older adults with diabetes mellitus. Thai Journal of Nursing. 2019; 68(1): 58-65.(in Thai)

Nath B, Gupta SD, Kumari R. Effect of comorbidities on direct cost among type 2 diabetes mellitus (T2DM)patients in tertiary care government hospital in Uttarakhand,India: A primary data analysis of out of pocket expenditure.Diabetes Metab Syndr.2020;14(6): 21539.

Lv X, Yu SFD, Cao Y, Xia J. Self-care experiences of empty-nest elderly living with type 2 diabetes mellitus: a qualitative study from China. Front Endocrinol (Lausanne).2021;12:745145.

Jun-in N, Siripitayakunkit A, Malathum P. Foot care behaviors of older persons with type 2 diabetes.Ramathibodi Nursing Journal. 2015;21(2):199-213.(in Thai)

Song M. Diabetes mellitus and the importance of self-care.Journal of Cardiovascular Nursing. 2010; 25(2):93-8.

Yang J, Zhang Z, Zhang L, Su Y, Sun Y, Wang Q.Relationship between self-care behavior and cognitive function in hospitalized adult patients with type 2 diabetes:a cross-sectional study. Diabetes Metab Syndr Obes.2020;13:207-14.

witoniowska-Lonc N, Polaski J, Taski W, Jankowska-Polaska B. Impact of cognitive impairment on adherence to treatment and self-care in patients with type 2 diabetes mellitus. Diabetes Metab Syndr Obes. 2021;14:193-203.

Devi S, Azhar SM, Deevanshi, Kapoor R, Kumari K,Akhila VS, et al. Association between functional status and treatment adherence among elderly suffering from diabetes mellitus. JoNSP. 2021;11(2): 23-8.

Vicente MC, Silva CR. Rd, Pimenta CJL, Bezerra TA,Lucena HK. Vd, Valdevino SC, et al. Functional capacity and self-care in older adults with diabetes mellitus.Aquichan. 2020;20(3):1-11.

Lubis Z, Wahyuni AS, Daulay W. The correlation between self-esteem and the locus of control with the self-care ability of diabetes mellitus type 2 patients. European.EJMCM. 2020;7(10):1761-6.

Matsee C, Wanaratwichit C. Factors affecting to health promotion behaviors of diabetic patients in Phrae province.Boromarajonani College of Nursing, Uttaradit Journal.2021;13(1):238-50. (in Thai)

Kerdaunsuksri A, Sangtongpanichakull P. A study of self-care behaviors in older adults at the elderly club of Ratchaphiphat hospital, on the foundations of personal and social support factors. Vajira Medical Journal: Journal of Urban Medicine. 2020;64(2):85-96. (in Thai)

Thongnuanual P. Relationships and power of predictability of social supports to self-care behaviors of patients with controllable type 2 diabetes mellitus. Thai Journal of Public Health and Health Sciences. 2019; 2(2):14-25. (in Thai)

Karimy M, Koohestani HR, Araban M. The association between attitude, self-efficacy, and social support and adherence to diabetes self‑care behavior. Diabetol Metab Syndr. 2018;10(86)1-6.

Khuneepong A. Factors influencing self-care behavior of type 2 diabetic mellitus patients in Phatthana Nikhom district, Lop Buri Province. Journal of The Department of Medical Services. 2018; 43(3):101-7. (in Thai)

Hanucharurnkul S. Self-care: the science and art of nursing. 6th ed. Bangkok: V.J. Printing; 2001. (in Thai)

Cohen J. Statistical Power Analysis for the Behavioral Sciences. Amarica: Lawrence Erlbaum Association; 1988.

Faul F, Erdfelder E, Buchner A, Lang AG. Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses. Behav Res Methods. 2009;41(4):1149-60.

Intarit N. Self health promoting behaviors of the eldery of the aging club at Chaophya Abhaibhubejhr hospital in Prachinburi province. [thesis]. Bangkok: Chulalongkorn University; 2004. (in Thai)

Nasreddine ZS, Phillips NA, Bédirian V, Charbonneau S,Whitehead V, Collin I, et al. The montreal cognitive assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53(4):695-9.

Hemrungrojn S. Montreal cognitive assessment (MOCA)Thai version 2007. 2011 [cited 2022 January 15].Available from https://www.mocatest.org/pdf_files/test/MoCA-Test-Thai.pdf

Tangwongchai S, Phanasathit M, Charernboon T,Akkayagorn L, Hemrungrojn S, Phanthumchinda K, et al.The validity of Thai version of the Montreal Cognitive Assessment. Dement Neuropsychol. 2009;3(2):173.

Toobert DJ, Hampson SE, Glasgow RE. The summary of diabetes self-care activities measure: results from 7 studies and a revised scale. Diabetes Care. 2000;23(7):943-50.

Keeratiyutawong P. A self-management program for improving knowledge, self-care activities, quality of life and glycosylated HbA1c in Thais with type 2 diabetes mellitus. [dissertation]. Nakhon Pathom: Mahidol university; 2005.

Rosenberg, M. Society and the adolescent self-image.Princeton: NJ: Princeton University Press; 1965.

Mahasitiwat Y. The relationship between perception of bio-psychosocial change, self-esteem and health behavior of the elderly in Amphur Maung, Saraburee Province.[thesis]. Nakhon Pathom: Mahidol university; 1986.(in Thai)

Schaefer C, Coyne JC, Lazarus RS. The health-related functions of social support. J Behav Med. 1981;4(4):381-406.

Hanucharurnkul S. Social support, self-care, and quality of life in cancer patients receiving radiotherapy in Thailand.

[Doctor of Philosophy (Nursing)]. Wayne State University; 1988.

Jitapunkul S, Kamolratanakul P, Ebrahim S. The meaning of activities of daily living in a thai elderly population:development of a new index. Age Ageing. 1994;23(2):97-101.

Singhard S, Kittiworavej S, Meenakate P, Suriya A.Cognitive function and functional ability of older people,elderly school, faculty of nursing, Ubon Ratchathani university. Journal of Health Science of Thailand.2021;30(2):242-50. (in Thai)

Umegaki H, Hayashi T, Nomura H, Yanagawa M,Nonogaki Z, Nakshima H, et al. Cognitive dysfunction:an emerging concept of a new diabetic complication in theelderly. Geriatr Gerontol Int. 2013;13(1):28-34.

Zeleke H, Assefa B. Prevalence and factors of cognitive impairment and depression among elderly people with type 2 diabetic mellitus attending in Governmental hospital.Clin Med. 2024;6(1):12-9.

Pekalee A, Vatanasomboon P. The limited activities of daily living (ADLs) among Thai older adults: the evidence from the 2017 national survey of older persons in Thailand.Thai journal of health education. 2021;44(1):49-59.(in Thai)

Noppaket K, Nabkasorn C, Vatanasin D. Factors predicting psychological well-being of the elderly with diabetes mellitus receiving care at a Health Promoting hospital. Journal of Nursing and Health Care.2017;35(4):122-31. (in Thai)

Jesrichai A. Factors predicting self-care behaviors among the elderly with diabetes in Phichit province. Phichit Public Health Research and Academic Journal. 2020;1(1):24-34. (in Thai)

Tanglakmankhong K. The role of nurses in screening and caring for older adults with mild cognitive impairment in community. Journal of Health and Nursing Research.2021;37(1):1-13. (in Thai)