Evidence map›Paper›PMID 42698395›Full record

ArticleFrontiers in neurology2026

Distress disclosure and health behaviours in patients with stroke: a theory-informed serial mediation model of social support, self-efficacy, and self-management.

Xiaoqin Yang, Yan Han, Yuntian Liu, Huaqing Fan, Jie Wang, Yan He, Feipeng Li

Abstract read
In one paragraph

Article in Frontiers in neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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5 · Who and what money

Authors and funding

7 authors.

Xiaoqin Yang *Affiliated Baotou Clinical College of Inner Mongolia Medical University, Baotou, Inner Mongolia, China.
Yan Han *Department of Neurology, Baotou Central Hospital, Baotou, Inner Mongolia, China.
Yuntian Liu *Affiliated Baotou Clinical College of Inner Mongolia Medical University, Baotou, Inner Mongolia, China.
Huaqing FanDepartment of Neurosurgery, Baotou Central Hospital, Baotou, Inner Mongolia, China.
Jie WangDepartment of Neurology, Baotou Central Hospital, Baotou, Inner Mongolia, China.
Yan HeAffiliated Baotou Clinical College of Inner Mongolia Medical University, Baotou, Inner Mongolia, China.
Feipeng LiDepartment of Nursing, Baotou Central Hospital, Baotou, Inner Mongolia, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: To examine the association between distress disclosure and health behaviours among patients with stroke and to test whether social support, self-efficacy and self-management statistically mediate this association independently and in sequence. Methods: A convenience sample of 473 patients with stroke was recruited from the Department of Neurology, Baotou Central Hospital, Inner Mongolia, China, between August 2025 and March 2026. Participants completed a sociodemographic and clinical characteristics form, the Distress Disclosure Index, Social Support Rating Scale, Stroke Self-Efficacy Questionnaire, Stroke Self-Management Scale and Health Behaviour Scale for Stroke Patients. Descriptive statistics, Pearson correlations, hierarchical multiple linear regression and serial mediation analyses were conducted using IBM SPSS Statistics 29.0 and PROCESS macro version 5.0, Model 6. Age, stroke type, modified National Institutes of Health Stroke Scale (modified NIHSS) score and Barthel Index (BI) score were included as covariates. Results: The mean health-behaviour score was 60.65 (SD 12.32), indicating a moderate level. Distress disclosure was positively correlated with health behaviours ( Conclusion: Distress disclosure was strongly associated with health behaviours among patients with stroke, and this association was accompanied by significant indirect statistical associations via social support, self-efficacy and self-management. The findings support an expression-support-efficacy-management framework that may inform the design and prospective evaluation of communication-centred and self-management-oriented nursing interventions.

Indexed as

Health BehaviorPsychological DistressSelf EfficacySelf-ManagementSocial SupportStress, PsychologicalStrokeAdultAgedFemaleHumansMaleMediation AnalysisMiddle Ageddistress disclosurehealth behavioursself-efficacyself-managementserial mediationsocial supportstroke

Identifiers

PMID42698395
PMCPMC13541430

What Socratic holds

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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.