ArticleJournal of family medicine and primary care2022
Frequency and predictors of depression among the elderly population of Karachi.
Article in Journal of family medicine and primary care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Prevalence of depression among rural older adults in Asia: a meta-analysis of observational studies.Frontiers in public health · 2026Pooled it
- Assessing intrinsic capacity in older adults using the ICOPE tool in a tertiary care setting in Karachi, Pakistan.JAR life · 2026Article
- Systematic Review and Meta-analysis of the Association Between Malnutrition and Risk of Depression in the Elderly.Alpha psychiatry · 2024Review
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Context: Depression among the elderly is falsely considered as a normal part of aging and hence remains un-diagnosed in the majority. Elderly people are at a high risk of depression, which may produce a negative impact on their quality of life. Depression is a potentially treatable condition; hence, it is worthwhile to explore its burden in order to ensure its timely evaluation and management. Aims: To determine the frequency and predictors of depression among the elderly population of Karachi. Settings and Design: The current study was a cross-sectional study, conducted in out-patient clinics of a tertiary care hospital and its out-reach centers located in different areas of Karachi. Methods and Material: Patients aged 60 years and above were enrolled in the study. Demographic profiles and physical health conditions were investigated. Depression was assessed using Geriatric Depression Scale-15. Statistical Analysis: Data were entered in SPSS version 21 for statistical analysis. Results: A total of 232 participants were enrolled into the study with a median age of 65.8 [inter-quartile range = 61-69] years. Out of 232 participants, 186 (80.2%) were found to be depressed. In the multi-variable model, employment status, financial issues, and peer groups were left as independent predictors of depression. Conclusion: The current study found a significant burden of depression among elderly people in Karachi. Employment status, financial problems, and relationship with peers have been identified as risk factors of depression. There might be over-reporting of depression as the data collection was conducted during the coronavirus disease 2019 first wave. Hence, further community-based research is warranted to confirm the findings.
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