Publication: Factors Associated with Depression among Elderly in Mahalaxmi Municipality, Lalitpur, Nepal
1
Issued Date
2023
Resource Type
Resource Version
Accepted Manuscript
Language
eng
File Type
application/pdf
ISSN
2697-584X (Print)
2697-5866 (Online)
2697-5866 (Online)
Journal Title
Thai Journal of Public Health
Volume
53
Issue
3
Start Page
591
End Page
607
Access Rights
open access
Rights
ผลงานนี้เป็นลิขสิทธิ์ของมหาวิทยาลัยมหิดล ขอสงวนไว้สำหรับเพื่อการศึกษาเท่านั้น ต้องอ้างอิงแหล่งที่มา ห้ามดัดแปลงเนื้อหา และห้ามนำไปใช้เพื่อการค้า
Rights Holder(s)
Department of Public Health Administration Faculty of Public Health Mahidol University
Department of Dermatology Faculty of Medicine Siriraj Hospital Mahidol University
Department of Epidemiology Faculty of Public Health Mahidol University
Department of Dermatology Faculty of Medicine Siriraj Hospital Mahidol University
Department of Epidemiology Faculty of Public Health Mahidol University
Bibliographic Citation
Thai Journal of Public Health. Vol. 53, No. 3 (Sep-Dec 2023), 591-607
Suggested Citation
Gaurav Shrestha, Sukhontha Kongsin, Sukhum Jiamton, Sukhontha Siri Factors Associated with Depression among Elderly in Mahalaxmi Municipality, Lalitpur, Nepal. Thai Journal of Public Health. Vol. 53, No. 3 (Sep-Dec 2023), 591-607. 607. Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/109713
Research Projects
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Title
Factors Associated with Depression among Elderly in Mahalaxmi Municipality, Lalitpur, Nepal
Abstract
Depression is a common mental health problem among the elderly, and its prevalence is increasing. This cross-sectional study aimed to assess the level of depression and the factors that contributed to depression. The study was conducted among 370 respondents aged 60 years and above obtained through multistage proportionate random sampling in Mahalaxmi Municipality, Lalitpur. Information was collected using a semi-structured questionnaire on socio-demogprahic factors, lifestyle factors, socio-economic factors, comorbid conditions, and depression using GDS-SF (Geriatric Depression Scale Short Form). Data were analyzed using descriptive and inferential methods (chi-square, binary logistic regression, and multiple logistic regression). The results showed a high prevalence of depression (53.2%). Multiple logistic regression identified several statistically significant factors. The elderly in the 70-79 age group were 2.05 times, and those aged 80 years and above were 1.81 times more likely to have depression than those aged 60-69 years. Similarly, low social support (AOR = 13.86, CI: 5.81-33.08), and low quality of life (AOR = 5.65, CI: 3.06-10.41) were statistically significant factors associated with depression. Hence, this study highlights the need for addressing depression among the elderly through targeted effective interventions and prioritizing elderly mental health care by policymakers.