Prevalence and Associated Factors of Depression Among Indonesian Elderly with Stroke: Finding from A Nationwide Study
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Abstract
Introduction: Depression is one of the most prevalent neuropsychiatric complications following stroke, particularly among the elderly. It significantly affects recovery outcomes, quality of life, and long-term mortality. However, limited data are available on the prevalence and associated factors of depression among elderly stroke survivors in Indonesia. Depression is one of the most prevalent neuropsychiatric complications following stroke, particularly among the elderly. It significantly affects recovery outcomes, quality of life, and long-term mortality. However, limited data are available on the prevalence and associated factors of depression among elderly stroke survivors in Indonesia.
Objective: This study aimed to examine the prevalence and associated sociodemographic and health-related factors of depression among Indonesian elderly with stroke.
Methods: A cross-sectional study was conducted using secondary data from the 2018 Indonesian Basic Health Research (RISKESDAS), which includes nationally representative health data. A total of 3,025 stroke patients aged ≥18 years were included. Depression was assessed using the Mini-International Neuropsychiatric Interview (MINI). Descriptive analysis, chi-square tests, and multivariate logistic regression were performed to identify predictors of depression.
Results: The overall prevalence of depression among elderly stroke survivors was substantial. Bivariate analysis revealed significant associations between depression and variables such as age, sex, education, marital status, urbanization, fruit and vegetable consumption, and BMI (p < 0.05). In the final regression model, female sex (OR = 1.789, 95% CI = 1.648–1.962), higher education (OR = 1.268, 95% CI = 1.048–1.534), and being overweight/obese (OR = 1.697, 95% CI = 1.106–1.982) were associated with increased odds of depression. Living in rural areas was associated with a reduced risk of depression (OR = 0.328, 95% CI = 0.106–0.982).
Conclusion: Several sociodemographic factors were significantly associated with depression among elderly stroke survivors in Indonesia.
Implications: Screening and tailored interventions targeting high-risk groups are critical for improving mental health outcomes in post-stroke care settings.
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References
Apriliyasari, et al. (2022). Physical activity and depression in Indonesian adults with stroke: A nationwide survey. Journal of Nursing Scholarship, 55 (1), 256-364. http://doi.org/10.1111/jnu.12823
Bartoli, F., Di Brita, C., Crocamo, C., Clerici, M., & Carrà, G. (2013). Early post-stroke depression and mortality: Meta-analysis and meta-regression. Frontiers in Psychiatry, 4, 1–7. https://doi.org/10.3389/fpsyt.2013.00137
Guiraud, V., Gallarda, T., Calvet, D., & Rouillon, F. (2015). Post-stroke depression: A review. Archives of Cardiovascular Diseases, 108(2), 77–85. https://doi.org/10.1016/j.acvd.2014.10.003
Gunawan, I., & Huang, X.-Y. (2022). Prevalence of depression and its related factors among older adults in Indonesian nursing homes. Belitung Nursing Journal, 8(3), 222–228. https://doi.org/10.33546/bnj.2107
Hackett, M. L., & Pickles, K. (2014). Part I: Frequency of depression after stroke: An updated systematic review and meta-analysis of observational studies. International Journal of Stroke, 9(8), 1017–1025. https://doi.org/10.1111/ijs.12357
Handajani, Y. S., Schröder-Butterfill, E., Hogervorst, E., Turana, Y., & Hengky, A. (2022). Depression among older adults in Indonesia: Prevalence, role of chronic conditions and other associated factors. Clinical Practice & Epidemiology in Mental Health, 18, e174501792207010. https://doi.org/10.2174/1745017902218010035
Idaiani, S. (2020). Validity and reliability of depression, anxiety and psy chosis questionnaire of MINI international neuropsychiatric interview (MINI) in Indonesia. ASEAN Journal of Psychiatry, 21(1), 1.
World Health Organization. (2017). Depression and other common mental disorders: Global health estimates. World Health Organization.
Kementerian Kesehatan Republik Indonesia (Kemenkes RI). (2018). Riset Kesehatan Dasar (RISKESDAS) 2018. Jakarta: Badan Penelitian dan Pengembangan Kesehatan.
Luppino, F. S., de Wit, L. M., Bouvy, P. F., Stijnen, T., Cuijpers, P., Penninx, B. W., & Zitman, F. G. (2010). Overweight, obesity, and depression: A systematic review and meta-analysis of longitudinal studies. Archives of General Psychiatry, 67(3), 220–229. https://doi.org/10.1001/archgenpsychiatry.2010.2
Sheehan, D. V., Lecrubier, Y., Sheehan, K. H., Amorim, P., Janavs, J., Weiller, E., Hergueta, T., Baker, R., & Dunbar, G. C. (1998). The mini- international neuropsychiatric interview (M.I.N.I.): The development and validation of a structured diagnostic psychiatric interview for DSM- IV and ICD- 10. The Journal of Clinical Psychiatry, 59 Suppl 20, 22– 33 quiz 34- 57.
Subedi, R., Smith, A., & Stankiewicz, N. (2021). Social cohesion and mental health among rural elderly: Evidence from a community-based study. BMC Public Health, 21(1), 1–11. https://doi.org/10.1186/s12889-021-10574-1