Evidence map›Paper›PMID 40510932›Full record

ArticleFrontiers in psychology2025

Study on the mechanism of family resilience on loneliness in older adults with stroke.

Hui Ju, Yanli Dong, Ju Liu, Jing Mu, Lei Ge, Jie Chen

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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

6 authors.

Hui JuDepartment of Emergency, People's Hospital of Rizhao, Rizhao, Shandong, China.
Yanli DongDepartment of Nursing, People's Hospital of Rizhao, Rizhao, Shandong, China.
Ju LiuDepartment of Emergency, People's Hospital of Rizhao, Rizhao, Shandong, China.
Jing MuDepartment of Nursing, People's Hospital of Rizhao, Rizhao, Shandong, China.
Lei GeDepartment of Emergency, People's Hospital of Rizhao, Rizhao, Shandong, China.
Jie ChenDepartment of Radiation Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study examines loneliness in stroke patients who were ≥60 years of age, identifying key factors such as family resilience, social support, family function, and psychological capital. Methods: We sampled 234 stroke patients who were ≥60 years of age. These patients were diagnosed with stroke (ischemic stroke, hemorrhagic stroke) by the hospital and their condition is stable in the recovery period. Data were collected using the UCLA Loneliness Scale, Family Resilience Assessment scale, Positive Psychological Capital scale, Family APGAR Index, and Social Support Rating Scale. Using one-way analysis of variance and multiple linear regression equation to analyze the influencing factors of loneliness in older adults with stroke; Construct a structural equation model to explore the pathways of social support, family function and psychological capital in the relationship between family resilience and loneliness. Results: The average loneliness score among older adults with stroke was (35.07 ± 15.24). Factors affecting loneliness included income, activity level, community resources, social participation, and illness duration. Pearson analysis showed significant negative correlations between loneliness and family resilience ( Conclusion: Loneliness in elderly stroke patients is moderate. Strengthening family resilience and support systems can effectively reduce loneliness.

Indexed as

family functionfamily resiliencelonelinessolder adults with strokepsychological capitalsocial support

Identifiers

PMID40510932
PMCPMC12159068

What Socratic holds

Textmetadata
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 Socratic graph.