Factors Associated with Depression among Elderly in Mahalaxmi Municipality, Lalitpur, Nepal
3
Issued Date
2023-09-01
Resource Type
ISSN
2697584X
eISSN
26975866
Scopus ID
2-s2.0-105016205012
Journal Title
Thai Journal of Public Health
Volume
53
Issue
3
Start Page
591
End Page
607
Rights Holder(s)
SCOPUS
Bibliographic Citation
Thai Journal of Public Health Vol.53 No.3 (2023) , 591-607
Suggested Citation
Shrestha G.S., Kongsin S., Jiamton S., Siri S. Factors Associated with Depression among Elderly in Mahalaxmi Municipality, Lalitpur, Nepal. Thai Journal of Public Health Vol.53 No.3 (2023) , 591-607. 607. Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/112217
Title
Factors Associated with Depression among Elderly in Mahalaxmi Municipality, Lalitpur, Nepal
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Author's Affiliation
Corresponding Author(s)
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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.