Evidence map›Paper›PMID 38715019›Full record

ArticleBMC psychiatry2024

The mediating effects of hope on the relationships of social support and self-esteem with psychological resilience in patients with stroke.

Boru Sun, Nan Wang, Ke Li, Yan Yang, Fengjiao Zhang

Abstract read
In one paragraph

Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

5 authors.

Boru Sun *Emergency Department, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Nan Wang *Rehabilitation Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Ke LiSurgery Department, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Yan Yang *Nursing Department, Shengjing Hospital China Medical University, 36 Sanhao Street, Heping District, Shenyang, Liaoning, P.R. China. yang17761776@163.com.
Fengjiao Zhang *Teaching Group of Nursing Department, Shengjing Hospital of China Medical University, 36 Sanhao Street, Heping District, Shenyang, Liaoning, 110004, P.R. China. fengjiaozhang2022@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo explore the mediating effect of hope in the relationships between social support and self-esteem with psychological resilience among patients with stroke survivors in early rehabilitation.

methodsA cross-sectional study design was adopted. Data from a cross-sectional survey of 210 patients undergoing early stroke rehabilitation were analyzed using structural equation modeling. The variables of interest were measured using the Connor Davidson Resilience Scale, the Social Support Rating Scale, the Herth Hope Index, and the Self-Esteem Scale. This article reports according to the STROBE checklist.

resultsA positive relationship was found between social support and psychological resilience (β

conclusionAccording to the results of this study, some strategies can be incorporated into the rehabilitation process to enhance psychological resilience, such as cultivating individual personality characteristics and improving patients' social relationships. In the future, we need to explore methods for improving psychological resilience among patients with stroke in combination with their risk factors to improve their quality of life and reduce the incidence of post-stroke depression.

Indexed as

HopeResilience, PsychologicalSelf ConceptSocial SupportStrokeStroke RehabilitationAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedHope, StrokeResilience, psychologicalSelf-conceptSocial support

Identifiers

PMID38715019
PMCPMC11075303

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LicenceCC BY
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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.