Evidence map›Paper›PMID 41860890›Full record

ArticlePloS one2026

Prevalence and determinants of depression, anxiety, and stress among the elderly population in Bangladesh: A cross-sectional study.

Sahabul Haque, Suchana Akter, Lamia Jannat, Zidan Ahmed, Mohammad Arifur Rahman, Imran Hossain Sumon, Md Mahfuzur Rahman, Md Salah Uddin, Md Moyazzem Hossain

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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Sahabul HaqueDepartment of Statistics and Data Science, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Suchana AkterDepartment of Statistics and Data Science, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Lamia JannatDepartment of Statistics and Data Science, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Zidan AhmedDepartment of Statistics and Data Science, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Mohammad Arifur RahmanDepartment of Statistics and Data Science, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Imran Hossain SumonDepartment of Statistics and Data Science, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Md Mahfuzur RahmanDepartment of Statistics and Data Science, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Md Salah UddinDepartment of Statistics and Data Science, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Md Moyazzem HossainDepartment of Statistics and Data Science, Jahangirnagar University, Savar, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0003-3593-6936

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMental health issues are commonly faced by the elderly population aged 60 and above, who are influenced by various risk factors, i.e., financial, family, social, and others that impact their quality of life. This study intends to identify the prevalence of depression, anxiety, and stress among the elderly population of Bangladesh and their associated factors.

methodThis cross-sectional study collected primary data from a sample of 400 elderly individuals aged 60 and above across four districts in Bangladesh. Depression, anxiety, and stress levels were measured using the PHQ-9, GAD-7, and PSS-10 scales, respectively. The ordinal logistic regression model is fitted to evaluate the effects of socio-demographic factors, and a confirmatory factor analysis is used to identify risk factors via a structural equation model.

resultFindings revealed that 5.3% of elderly people have severe depression, 9.3% severe anxiety, and 4.75% high perceived stress. Older adults with poor health status were more likely to suffer from severe depression and anxiety. Social isolation and loneliness influence depression in old age. Significant risk factors include poor medical support from family and inadequate family relationships as age progresses, social discrimination and prejudice, and perceived social status. These factors were significantly associated with mental health problems (depression, anxiety, and stress) among the elderly population aged 60 and above.

conclusionDepression, anxiety, and stress are significant mental health issues among older people in Bangladesh. To ensure their quality of life, it is essential to diagnose and address these mental health problems to establish effective policies.

Indexed as

AnxietyDepressionStress, PsychologicalAgedAged, 80 and overBangladeshCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceQuality of LifeRisk Factors

Identifiers

PMID41860890
PMCPMC13004408

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.