Evidence map›Paper›PMID 41531931›Full record

ArticleJournal of aging research2026

Addressing the Gender Divide: Quality of Life and Social Support for Older Men and Women in Rural India.

Sila Jana, Soumi Paul, Susmita Mondal, Dipak K Midya, Kapil Dahal

Abstract read
In one paragraph

Article in Journal of aging research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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. Article
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

5 authors.

Sila JanaDepartment of Anthropology, Vidyasagar University, Midnapore, 721102, West Bengal, India, vidyasagar.ac.in.ORCID https://orcid.org/0000-0003-2455-6567
Soumi PaulDepartment of Anthropology, Vidyasagar University, Midnapore, 721102, West Bengal, India, vidyasagar.ac.in.ORCID https://orcid.org/0009-0002-5995-0185
Susmita MondalDepartment of Anthropology, Vidyasagar University, Midnapore, 721102, West Bengal, India, vidyasagar.ac.in.ORCID https://orcid.org/0009-0007-8113-9029
Dipak K MidyaDepartment of Anthropology, Vidyasagar University, Midnapore, 721102, West Bengal, India, vidyasagar.ac.in.ORCID https://orcid.org/0000-0002-9028-3504
Kapil DahalCentral Department of Anthropology, Tribhuvan University, Kathmandu, Nepal, tribhuvan-university.edu.np.ORCID https://orcid.org/0000-0002-9974-694X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study investigated gender disparity in quality of life (QOL) and social support among older adults in West Bengal, India. Methods: The study was conducted among 200 older people. The WHOQOL-BREF questionnaire and the MSPSS scale were used to measure the respondents' QOL and social support, respectively. Bivariate correlation and binary logistic regression were performed. Result: This study showed that being female (AOR: 2.53; CI: 1.32-4.86), low social support (AOR: 5.18; CI: 1.98-13.57), moderate social support (AOR: 4.17; CI: 2.05-8.49), functionally impaired (AOR: 2.25; CI: 1.04-4.86), and being widowed (AOR: 2.95; CI: 1.29-6.73) were significantly associated with poorer QOL of older adults. The interaction effect showed that the QOL of older men would experience a greater improvement than that of older women as a result of increased social support. Conclusion: Due to inadequate research on the relationship between QOL and social support with special emphasis on gender in India, this study will provide insight for planning interventions to improve older individuals' QOL.

Indexed as

genderolder peoplequality of lifesocial supportsocioeconomic factors

Identifiers

PMID41531931
PMCPMC12791575

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.