Evidence map›Paper›PMID 41377754›Full record

ArticleIndian journal of psychiatry2025

Depression and its determinants among elderly living in Dibrugarh district, Assam: A community based cross-sectional study.

Baidurjya Mahanta, Tulika G Mahanta, Rupali Baruah, Dhrubajyoti Bhuyan, Angchuman Chetia, Ishan Phukan, Airin Buragohain

Abstract read
In one paragraph

Article in Indian journal of psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Baidurjya MahantaDepartment of Community Medicine, Assam Medical College and Hospital, Dibrugarh, Assam, India.
Tulika G MahantaDepartment of Community Medicine, Assam Medical College and Hospital, Dibrugarh, Assam, India.
Rupali BaruahDepartment of Community Medicine, Tezpur Medical College and Hospital, Tezpur, Assam, India.
Dhrubajyoti BhuyanDepartment of Psychiatry, Assam Medical College and Hospital, Dibrugarh, Assam, India.
Angchuman ChetiaDepartment of Community Medicine, Assam Medical College and Hospital, Dibrugarh, Assam, India.
Ishan PhukanDepartment of Community Medicine, Assam Medical College and Hospital, Dibrugarh, Assam, India.
Airin BuragohainDepartment of Community Medicine, Assam Medical College and Hospital, Dibrugarh, Assam, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The elderly population is predicted to reach 20% of the total Indian population by 2050. Among people over 60 years, depression is a common treatable mental health issue. Lack of clear clinical presentation in elderly and associated stigma hinders its diagnosis. Aim: To estimate prevalence of depression and its determinants among elderly population. Methods: This study was the community-based cross-sectional study, among elderly individuals aged ≥60 years from rural, urban, and tea-garden areas of Dibrugarh district. With a 37.3% prevalence of depression among Assam's elderly population and 5% absolute precision, the sample size was determined as 360, and multi-stage sampling technique was used. GDS-15 scale for depression and Katz (ADL) for functional status of elderly were utilized. Results: Prevalence of elderly depression was 25.6%. Highest rate of depression (42.9%) was seen among ≥80 years-old. Elderly who were financially dependent (30.6%), illiterate (35.2%) had significantly higher depression, while gender, place of residence, marital status, family type, and socioeconomic status, did not exhibit statistical significance. A negative life event within a year, multi-morbidity, history of fall, low physical activity, and physical dependence were significantly associated with depression. Conclusion: Financial dependence, negative life events, inadequate physical activity, and multi-morbidity were independent predictors of depression among elderly.

Indexed as

ADLdepressionelderlygeriatricIndiaphysical activity

Identifiers

PMID41377754
PMCPMC12687960

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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.