Prevalence and Correlates of Geriatric Depression: A Community‐Based Cross‐Sectional Study in Bangladesh

ABSTRACT Objectives This study aimed to estimate the prevalence of geriatric depression and identify its associated socio‐demographic, lifestyle, health, and psychosocial determinants among community‐dwelling older adults in Bangladesh. Methods A community‐based cross‐sectional study was conducted between April and December 2024 among 719 adults aged ≥ 60 years, selected by multistage random sampling across four administrative divisions. Data were collected using interviewer‐administered questionnaires. Depression was assessed using the GDS‐15 (cut‐off ≥ 5). Logistic regression models were applied to identify determinants, and adjusted odds ratios (AORs) with 95% confidence intervals (CIs) were reported. Results The prevalence of geriatric depression was 35.2%. Poor family bonding (AOR = 6.580, 95% CI = 3.540–12.210, p < 0.001), financial instability (AOR = 3.660, 95% CI = 2.550–5.260, p < 0.001), dissatisfaction with lifestyle (AOR = 3.590, 95% CI = 2.240–5.770, p < 0.001), and daily life stress (AOR = 3.640, 95% CI = 2.560–5.190, p < 0.001) were significant predictors. Comorbidities, lack of regular exercise, mobility, and hearing problems also increased depression risk. Conclusion Geriatric depression is common in Bangladesh and influenced by multidimensional determinants. Integrating geriatric mental health services into primary care and strengthening family and social support systems are essential for prevention and early management.

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Publication Details

Journal
Aging Medicine
Published
2026-02-01
DOI
https://doi.org/10.1002/agm2.70065
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
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0.00
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article

Prevalence and Correlates of Geriatric Depression: A Community‐Based Cross‐Sectional Study in Bangladesh

Salim Khan, R Sarker, Md. Biplob Hossain, ABM Alauddin Chowdhury et al.
Aging Medicine
Dementia and Cognitive Impairment Research
article

Prevalence and Correlates of Geriatric Depression: A Community‐Based Cross‐Sectional Study in Bangladesh

Salim Khan, R Sarker, Md. Biplob Hossain, ABM Alauddin Chowdhury, Mohammed Nadir Bin Ali, Syed Nazmus Sakib, Md. Imdadul Haque, Md Monir Hossain Shimul, Ajahar Islam Hridoy, Hafiz T. A. Khan, Foysal Ahmed, Kausar Ahammed Nishat
article en

Abstract

ABSTRACT Objectives This study aimed to estimate the prevalence of geriatric depression and identify its associated socio‐demographic, lifestyle, health, and psychosocial determinants among community‐dwelling older adults in Bangladesh. Methods A community‐based cross‐sectional study was conducted between April and December 2024 among 719 adults aged ≥ 60 years, selected by multistage random sampling across four administrative divisions. Data were collected using interviewer‐administered questionnaires. Depression was assessed using the GDS‐15 (cut‐off ≥ 5). Logistic regression models were applied to identify determinants, and adjusted odds ratios (AORs) with 95% confidence intervals (CIs) were reported. Results The prevalence of geriatric depression was 35.2%. Poor family bonding (AOR = 6.580, 95% CI = 3.540–12.210, p < 0.001), financial instability (AOR = 3.660, 95% CI = 2.550–5.260, p < 0.001), dissatisfaction with lifestyle (AOR = 3.590, 95% CI = 2.240–5.770, p < 0.001), and daily life stress (AOR = 3.640, 95% CI = 2.560–5.190, p < 0.001) were significant predictors. Comorbidities, lack of regular exercise, mobility, and hearing problems also increased depression risk. Conclusion Geriatric depression is common in Bangladesh and influenced by multidimensional determinants. Integrating geriatric mental health services into primary care and strengthening family and social support systems are essential for prevention and early management.

Aging MedicineVol. 9(1)
Birmingham City University (GB), University of West London (GB), Bangladesh University (BD), Daffodil International University (BD), Spencer Foundation (US), University of Oxford (GB)
No poverty
Openalex Percentile: Top 53%
Dementia and Cognitive Impairment Research
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