Evidence map›Paper›PMID 40796822›Full record

ArticleBMC public health2025

Quality of life and widowhood: a cross-sectional study of social security scheme beneficiaries.

Ishani Chadha, K H Naveen, Manoj Kumar Gupta, Rashmi Kaushal, Srikanth Srinivasan, Nitin Kumar Joshi, Pankaj Bhardwaj

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ishani ChadhaSchool of Public Health All India Institute of Medical Sciences (AIIMS), Jodhpur, India.
K H NaveenSchool of Public Health All India Institute of Medical Sciences (AIIMS), Jodhpur, India. naveenkhdoc@gmail.com.
Manoj Kumar GuptaSchool of Public Health All India Institute of Medical Sciences (AIIMS), Jodhpur, India.
Rashmi KaushalSchool of Public Health All India Institute of Medical Sciences (AIIMS), Jodhpur, India.
Srikanth SrinivasanSchool of Public Health All India Institute of Medical Sciences (AIIMS), Jodhpur, India.
Nitin Kumar JoshiSchool of Public Health All India Institute of Medical Sciences (AIIMS), Jodhpur, India.
Pankaj BhardwajSchool of Public Health All India Institute of Medical Sciences (AIIMS), Jodhpur, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAfter losing a spouse, a woman experiences diverse changes in her life, and varying cultural settings add to them. Research has shown the impact of widowhood on one's quality of life. This study evaluated the quality of life and its predictors of widows of Jodhpur enrolled in Ekal Nari Samman Pension Yojna, a state-sponsored pension scheme for widowed, divorced, or abandoned women from an economically weaker section of Rajasthan. METHODOLOGY: A cross-sectional study was conducted among 260 widows aged 18-45 from Jodhpur City. A semi-structured questionnaire was used to collect data after obtaining informed written consent. The CDC HRQOL-14 questionnaire was used to collect data on quality of life. Data was analysed using descriptive statistics and logistic regression analysis.

resultsThe study findings revealed that the number of children, chronic illness, depression, and anxiety were consistently significant predictors of quality of life among widows in Jodhpur.

conclusionThe findings highlight the association of physical and psychological health with the quality of life of widows. There is a critical need to integrate mental health services and chronic illness management into widows' welfare programs to ensure comprehensive support.

Indexed as

Quality of LifeSocial Determinants of HealthSocial SecurityVulnerable PopulationsWidowhoodAdolescentAdultAnxietyChronic DiseaseCross-Sectional StudiesDepressionFamily CharacteristicsFemaleHumansIndiaLogistic ModelsChildrenChronic illnessDepressionJodhpurMental healthQuality of lifeWidows

Identifiers

PMID40796822
PMCPMC12341338

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.