Evidence map›Paper›PMID 40697738›Full record

ArticleFrontiers in psychology2025

The relationship between spousal empowerment, quality of life, and subjective wellbeing among disabled elderly.

Fei Ye, Yuanrong Wu, Chao Pan, Zifen An, Yanzhen Zhai, Dan Wang, Liping Yu, Yanni Zhu

Abstract read
In one paragraph

Article in Frontiers in psychology, 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

8 authors.

Fei Ye *The Fifth Affiliated Hospital, Southern Medical University, Guangzhou, China.
Yuanrong Wu *School of Nursing and Health, Nanfang College Guangzhou, Guangzhou, China.
Chao PanThe Fifth Affiliated Hospital, Southern Medical University, Guangzhou, China.
Zifen AnZhongnan Hospital of Wuhan University, Wuhan, China.
Yanzhen ZhaiThe Fifth Affiliated Hospital, Southern Medical University, Guangzhou, China.
Dan WangThe Fifth Affiliated Hospital, Southern Medical University, Guangzhou, China.
Liping YuWuhan University School of Nursing, Wuhan, China.
Yanni ZhuThe Fifth Affiliated Hospital, Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As rapidly ages, the number of disabled elderly is increasing, leading to lower quality of life and greater psychological stress. Aim: To explore the relationship between spousal empowerment, quality of life, and subjective wellbeing (SWB) among disabled elderly, providing insights and practical guidance for enhancing SWB in this demographic. Method: A convenience sampling approach was employed to select 332 disabled elderly and their spouses. Research tools included a demographic survey, the Barthel Index (BI), the World Health Organization Quality of Life Assessment - Older Adults Version (WHOQOL-OLD), the Memorial University of Newfoundland Scale of Happiness (MUNSH), and the Main Caregivers' Empowerment Measurement (MCEM). Statistical analysis was performed using SPSS and AMOS. Result: The mean scores for the quality of life, SWB, and spousal empowerment were 72.07 ± 19.79, 24.13 ± 8.98, and 140.92 ± 29.13. Multiple linear regression analysis identified spousal empowerment ( Conclusion: Both quality of life and spousal empowerment can positively influence the SWB of disabled elderly. Additionally, spousal empowerment partially mediates the relationship between quality of life and SWB.

Indexed as

disabled elderlyempowermentquality of lifespousalwellbeing

Identifiers

PMID40697738
PMCPMC12279798

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.