Determinants of Geriatric Depression in Banda Aceh, Indonesia

Main Article Content

Riza Septiani
Guswan Wiwaha
Insi Farisa Desy Arya

Abstract

The elderly population in Indonesia is anticipated to grow, leading to a rising prevalence of depression among this demographic. This study investigated the determinants of geriatric depression in Banda Aceh, Indonesia, utilizing an analytic descriptive cross-sectional design. Materials and methods: The sample included 118 individuals aged ≥ 60 years from Jaya Baru and Kuta Alam Districts, selected using convenience sampling from June 22 to July 10, 2022. Data were analyzed using SPSS 26, for descriptive, bivariate (chi-square) and multivariate (logistic regression ordinal) analysis. Depression was assessed using the 15-Geriatric Depression Scale. Results: Respondent characteristics included 68.6% females, 62.7% aged 60-69 years, 53.4% married, 57.6% receiving moderate/high income, 48.3% living with extended family, 15.3% experiencing cognitive impairment, 59.3% independent in daily activities, and 72.9% with normal nutritional status. Univariate analysis showed 20.4% of the elderly experienced depression: 15.3% mild, 3.4% moderate, and 1.7% severe. Bivariate analysis showed significant relationships between low income (p = .010), living with extended family (p = .027), cognitive impairment (p < .001), nutritional status (p < .001) and geriatric depression. Multivariate analysis indicated nutritional status was most significantly related to depression in the elderly (p < .001). Conclusion: The findings highlight the importance of recognizing these factors to support the mental health of elderly individuals. Recommendations include regular mental health screenings by family members, primary care physicians, and community health workers, as well as evaluating psychosocial and nutritional support to improve mental well-being.

Downloads

Download data is not yet available.

Article Details

How to Cite
Septiani, R., Wiwaha, G., & Arya, I. F. D. (2025). Determinants of Geriatric Depression in Banda Aceh, Indonesia. Malaysian Journal of Medicine and Health Sciences, 21(2), 4–12. https://doi.org/10.47836/mjmhs.21.2.2
Section
Original Articles

References

Lunenfeld B, Stratton P. The clinical consequences of an ageing world and preventive strategies. Best Pract Res Clin Obstet Gynaecol. 2013;27(5):643–59. DOI: 10.1016/j.bpobgyn.2013.02.005.

Central Statistics Agency of Indonesia. Population Statistics of the Elderly 2023. 2023. Web page. URL: https://www.bps. go.id/ en/publication/2023/12/29 /5d308763ac29278dd 5860fad/statistics-of -aging-population-2023.html

Salive ME. Multimorbidity in older adults. Epidemiol Rev. 2013;35(1):75–83. DOI: 10.1093/epirev/mxs009.

Setiati S. Geriatric Medicine, Sarkopenia, Frailty, dan Kualitas Hidup Pasien Usia Lanjut: Tantangan Masa Depan Pendidikan, Penelitian dan Pelayanan Kedokteran di Indonesia. eJournal Kedokt Indones. 2014;1(3). DOI:10.23886/EJKI.1.3008

World Health Organization. Mental health of older adults [Internet]. 2023. Available from: https://www.who.int/news-room/fact-sheets/detail/mental-health-of-older-adults

Zenebe Y, Akele B, W/Selassie M, Necho M. Prevalence and determinants of depression among old age: a systematic review and meta-analysis. Ann Gen Psychiatry [Internet]. 2021;20(1):1–19. Available from: https://doi.org/10.1186/s12991-021-00375-x

Ting Hu, Xueyang Zhao, Man Wu, Zhaoyang Li, Li Luo, Chongming Yang FY. Prevalence of depression in older adults: A systematic review and meta-analysis. Psychiatry Res [Internet]. 2022;311. Available from: https://www.sciencedirect.com/science/article/pii/S0165178122001251 DOI: 10.1016/j.psychres.2022.114511.

Cai H, Jin Y, Liu R, Zhang Q, Su Z, Ungvari GS, Tang YL, Ng CH, Li XH XY. Global prevalence of depression in older adults: A systematic review and meta-analysis of epidemiological surveys. Asian J Psychiatr. 2023; DOI: 10.1016/j.ajp.2022.103417

Ministry of Health of the Republic of Indonesia. National Health Survey Report 2018. Lembaga Penerbit Balitbangkes. 2018. IRL: https://repository.badankebijakan.kemkes.go.id/id/eprint/3514/1/Laporan%20Riskesdas%202018%20Nasional.pdf

Idris H, Hasri SN. Factors Associated with the Symptom of Depression among Elderly in Indonesian Urban Areas. J Psikol. 2023;50(1):45. DOI: 10.22146/jpsi.72406

Handajani YS, Schröder-Butterfill E, Hogervorst E, Turana Y, Hengky A. Depression among Older Adults in Indonesia: Prevalence, Role of Chronic Conditions and Other Associated Factors. Clin Pract Epidemiol Ment Heal. 2022;18(1):1–10. DOI: 10.2174/17450179-v18-e2207010.

Devita M, De Salvo R, Ravelli A, De Rui M, Coin A, Sergi G, et al. Recognizing Depression in the Elderly: Practical Guidance and Challenges for Clinical Management. Neuropsychiatr Dis Treat. 2022;18:2867–80. DOI: 10.2147/NDT.S347356

Reynolds CF, Jeste D V., Sachdev PS, Blazer DG. Mental health care for older adults: recent advances and new directions in clinical practice and research. World Psychiatry. 2022;21(3):336–63. DOI: 10.1002/wps.20996.

Liu H, Zhou Z, Fan X, Shen C, Ma Y, Sun H, et al. Association Between Multiple Chronic Conditions and Depressive Symptoms Among Older Adults in China: Evidence From the China Health and Retirement Longitudinal Study (CHARLS). Int J Public Health. 2023;68(March):1–10. DOI: 10.3389/ijph.2023.1605572

Sheikh, J. I., & Yesavage, J. A. (1986). Geriatric Depression Scale (GDS): Recent Evidence and Development of a Shorter Version. Clinical Gerontologist: The Journal of Aging and Mental Health, 5, 165-173. DOI: 10.1300/J018v05n01_09.

Greenberg SA. How to try this: the Geriatric Depression Scale: Short Form. Am J Nurs. 2007 Oct;107(10):60-9; quiz 69-70. doi: 10.1097/01.NAJ.0000292204.52313.f3. PMID: 17895733.

Hodkinson H. Evaluation of a mental test score for assessment of mental impairment in the elderly. Age Ageing. 1972;1(4):233–8. DOI: 10.1093/ageing/1.4.233.

Tanglakmankhong K, Hampstead BM, Ploutz-Snyder RJ, Potempa K. Does the Abbreviated Mental Test Accurately Predict Cognitive Impairment in Thai Older Adults? A Retrospective Study. Pac Rim Int J Nurs Res Thail. 2021 Jan-Mar;25(1):23-33. Epub 2020 Dec 8. PMID: 36246051; PMCID: PMC9565848.

Edwards MM. The Reliability and Validity of Self-Report Activities of Daily Living Scales. Can J Occup Ther. 1990;57(5):273–8. DOI: 10.1177/000841749005700507

Mathew, AC, Jose, J, Athira, S, Vijayakumar M. The reliability of Mini Nutritional Assessment (MNA) questionnaire in screeningmalnutrition among elderly aged 60 years and above. Asian Pacific J Heal Sci. 2015;2(3):47–8. DOI: 10.21276/apjhs.2015.2.3.11

Hong Cai, Yu Jin, Rui Liu, Qinge Zhang, Zhaohui Su, Gabor S. Ungvari, Yi-Lang Tang, Chee H. Ng, Xiao-Hong Li Y-TX. Global prevalence of depression in older adults: A systematic review and meta-analysis of epidemiological surveys. Asian J Psichiatr. 2023;80. DOI: 10.1016/j.ajp.2022.103417

Jespersen A, Madden R, Whalley HC, Reynolds R, Stephen M, Mcintosh AM, et al. Socioeconomic Status and Depression –. 2023; DOI: 10.1101/2023.12.04.23299380

Anbesaw T, Fekadu B. Depression and associated factors among older adults in Bahir Dar city administration, Northwest Ethiopia, 2020: Cross-sectionalstudy. PLoS One [Internet]. 2022;17(8 August):1–14. Available from: http://dx.doi.org/10.1371/journal.pone.0273345 DOI: 10.1371/journal.pone.0273345

Islam MZ, Disu TR, Farjana S, Rahman MM. Malnutrition and other risk factors of geriatric depression: a community-based comparative cross-sectional study in older adults in rural Bangladesh. BMC Geriatr [Internet]. 2021;21(1):1–11. Available from: https://doi.org/10.1186/s12877-021-02535-w DOI: 10.1186/s12877-021-02535-w

Naviganuntana Y, Kerdcharoen N, Rawdaree P. Factors Associated with Depressive Symptoms in Elderly Individuals Living in Urban Communities. Psychol Res Behav Manag. 2022;15(April):855–64. DOI: 10.2147/PRBM.S348782

Taqui AM, Itrat A, Qidwai W, Qadri Z. Depression in the elderly: Does family system play a role? A cross-sectional study. BMC Psychiatry. 2007;7:1–12. DOI: 10.1186/1471-244X-7-57

UK HM. Living Alone Increases Risk Of Depression. 2023; Available from: https://www.medicalnewstoday.com/releases/243293

Kim, Juyeong, Choi, Young, Choi, Jae Woo, Nam, Jin Young, Park E-C. Impact of family characteristics by marital status of cohabitating adult children on depression among Korean older adults. Geriatr Gerontol Int. 2017;17(12):2527–36. DOI: 10.1111/ggi.13066.

Nshimyumuremyi E, Muziki JD, Harerimana E, Uwera T, Nshimiyimana A, Sebatukura SG, et al. Prevalence and Family Determinants of Geriatric Depression Among Elderly People in Elderly Support Groups in Rwanda. Psychol Res Behav Manag. 2023;16(April):1445–55. DOI: 10.2147/PRBM.S406386.

Ke X, Fu Y. Intergenerational relationships and caregiving burden among family caregivers of older adults : A systematic review. 2022;8(1):63–74. DOI: 10.18063/ijps.v8i1.1320

Teerawichitchainan B, Pothisiri W, Thanh G. How Do Living Arrangements and Intergenerational Support Matter for Psychological Health of Elderly Parents ? Evidence from Myanmar , Vietnam , and Thailand Social Science & Medicine How do living arrangements and intergenerational support matter for psychological health of elderly parents ? Evidence from Myanmar ,. 2023;(May 2015). DOI: 10.1016/j.socscimed.2015.05.019

Gurung S, Ghimire S. Role of Family in Elderly Care. Vol. 54, Journal of Family Caregiving for the Elderly. 2014. URL: https://www.theseus.fi/bitstream/handle/10024/75830/Thesis%20print%20final.pdf?sequence=1

Wahyuni SD, Shahdana S, Armini NK. The relationship of social support with older adult depression in hargo dedali nursing home, Surabaya. Indian J Public Heal Res Dev. 2019;10(8):2590–4. DOI : 10.5958/0976-5506.2019.02258.7

Shanker S, Mukku R, Dahale AB, Muniswamy NR, Muliyala KP, Sivakumar PT, et al. Geriatric Depression and Cognitive Impairment — An Update. 2021;43(4). DOI: 10.1177/0253717620981556.

Muhammad T, Meher T. Association of late-life depression with cognitive impairment: evidence from a cross-sectional study among older adults in India. BMC Geriatr. 2021;21(1):1–13. DOI: 10.1186/s12877-021-02314-7

Yang F, Fu M, Hu Q, Guo J. The associations between cognitive function and depressive symptoms among older Chinese population: A cohort study. Front Psychiatry. 2023;14(April):1–7. DOI: 10.3389/fpsyt.2023.1081209

Guo Y, Pai M, Xue B, Lu W. Bidirectional association between depressive symptoms and mild cognitive impairment over 20 years: Evidence from the Health and Retirement Study in the United States. J Affect Disord [Internet]. 2023;338(May):449–58. Available from: https://doi.org/10.1016/j.jad.2023.06.046 DOI: 10.1016/j.jad.2023.06.046

Dhakal A, Bobrin BD. Cognitive Deficits. 2023 Feb 14. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025 Jan–. PMID: 32644478.

Shu Xu, William M. Jesdale, Catherine E. Dubé, Natalia N. Nielsen, Emily A. McPhillips KLL. Social engagement and cognitive impairment among nursing home residents: The role of sensory impairment. Arch Gerontol Geriatr. 2024;122. DOI: 10.1016/j.archger.2024.105397

Hong S, Cha EJ, Moon Y, Ryu S, Jeon HJ. Network Analysis Revealed the Role of Helplessness as a Central Feature Among Late-Life Depressive Symptoms in Patients With Mild Cognitive Impairment and Early Stage Dementia. 2024;371–9. DOI: 10.30773/pi.2023.0259

Rahanur M, Karmokar S, Reza S, Kabir R, Ghosh S, Al A. Geriatric malnutrition and depression : Evidence from elderly home care population in Bangladesh. Prev Med Reports [Internet]. 2021;23:101478. Available from: https://doi.org/10.1016/j.pmedr.2021.101478 DOI: 10.1016/j.pmedr.2021.101478

elázquez-Alva MC, Irigoyen-Camacho ME, Cabrer-Rosales MF, Lazarevich I, Arrieta-Cruz I, Gutiérrez-Juárez R Z-ZM. Prevalence of Malnutrition and Depression in Older Adults Living in Nursing Homes in Mexico City. Nutrients. 2020;12(8):1–12. DOI: 10.3390/nu12082429

Khalid NM, Haron H, Shahar S, Fenech M. Current Evidence on the Association of Micronutrient Malnutrition with Mild Cognitive Impairment , Frailty , and Cognitive Frailty among Older Adults : A Scoping Review. 2022; DOI: 10.3390/ijerph192315722