Evidence map›Paper›PMID 42152955›Full record

ArticleNeuropsychiatric disease and treatment2026

Functional Impairment and Post-Stroke Depression: Potential Roles of Sleep Quality and Fatigue in a Cross-Sectional Structural Equation Analysis.

Qian-Ying Hu, Kai-Yue Yang, Yu-Fei Ming, Su-Juan Sun, Juan Liu

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Article in Neuropsychiatric disease and treatment, 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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5 · Who and what money

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5 authors.

Qian-Ying Hu *Department of Rehabilitation Medicine, Affliated Hospital of Hebei University, Baoding, 071000, Hebei, People's Republic of China.
Kai-Yue Yang *Department of General Practice, Beijing Tsinghua Changgung Hospital, Beijing, 102200, People's Republic of China.
Yu-Fei MingCollege of Nursing, Hebei University, Baoding, 071000, Hebei, People's Republic of China.
Su-Juan SunDepartment of Nursing, Hebei General Hospital, Shijiazhuang, 050000, Hebei, People's Republic of China.
Juan LiuDepartment of Rehabilitation Medicine, Affliated Hospital of Hebei University, Baoding, 071000, Hebei, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To examine the association between functional impairment and depressive symptoms in hospitalized patients undergoing post-stroke rehabilitation, and to explore whether sleep quality and fatigue were statistically linked to this association within a structural equation modeling framework. We also compared the relative contributions of the Barthel Index (BI) and modified Rankin Scale (mRS). Methods: In this single-center retrospective cross-sectional study, 137 patients with stroke admitted for rehabilitation were included. Depressive symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9), sleep quality using the Pittsburgh Sleep Quality Index (PSQI), and fatigue using the Fatigue Assessment Scale (FAS). Functional status was evaluated with the BI (reverse-transformed to Barthel_rev) and mRS. Structural equation modeling with maximum likelihood estimation and bootstrap resampling (2,000 samples) was used to estimate direct and indirect associations. Results: In the primary latent-variable model, greater functional impairment was associated with poorer sleep quality (β=0.407, p=0.012) and greater fatigue (β=0.692, p=0.010). Poorer sleep quality was associated with higher PHQ-9 scores (β=0.296, p=0.003), whereas fatigue was not. The indirect association through sleep quality was significant (b=0.068, 95% CI 0.018-0.131), but the indirect association through fatigue was not. In a supplementary mutually adjusted model, mRS showed significant indirect associations with depressive symptoms through both sleep quality and fatigue, whereas Barthel_rev was linked primarily through fatigue. Because the supplementary model showed suboptimal fit, these findings should be interpreted cautiously. Conclusion: These findings suggest that sleep quality may represent a more consistent statistical pathway linking functional impairment and depressive symptoms in post-stroke rehabilitation, whereas the role of fatigue appears to vary by functional measure and model specification. Early screening of sleep disturbance and fatigue may still be clinically relevant, but causal inferences cannot be drawn from this cross-sectional study.

Indexed as

depressive symptomsfatiguefunctional impairmentsleep qualitystrokestructural equation modeling

Identifiers

PMID42152955
PMCPMC13180389

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