Work

Logistic Regression Analysis-Based Study of Risk Factors and Assessment Model of Non-Acute-Phase Post-Stroke Depression

Year: 2026

Type: article

Abstract: Background: This work aimed to investigate the risk factors for post-stroke depression (PSD) during the non-acute phase of stroke, and to construct and validate a risk assessment model for PSD using logistic regression analysis, thereby providing a basis for early clinical screening and intervention. Methods: A total of 900 stroke patients admitted to our hospital from April 2021 to April 2023 were enrolled in a prospective cohort study. After 6 months of followup, patients were divided into a PSD group (n = 485) and a non-PSD group (n = 415) based on the 17-item Hamilton Depression Rating Scale (HAMD-17) scores and diagnostic criteria. Data on demographics, disease characteristics, lifestyle factors, biochemical indicators, and scale scores were collected. Independent influencing factors were identified using univariate and multivariate logistic regression analyses. A risk prediction model was then constructed and validated using the receiver operating characteristic (ROC) curve. Results: Multivariate logistic regression analysis showed thatsex, parietal lobe lesions, alcohol consumption, smoking, hypertension, family support, National Institutes of Health Stroke Scale (NIHSS) score, Mini-Mental State Examination (MMSE) score, Social Support Rating Scale (SSRS) score, and Barthel Index (BI) were independent influencing factors for depression in non-acute stroke patients (all p < 0.05). The optimal cut-off value of the model was 18.12 points, and the area under the ROC curve (AUC) was 0.91 (p = 0.001), indicating good predictive performance. Conclusions: This study successfully constructed a risk assessment model with excellent predictive performance for PSD during the non-acute phase of stroke. The model can be used to assess PSD symptoms and screen high-risk populations, providing a reference for early clinical intervention.

Source: Actas Españolas de Psiquiatría

DOI: 10.62641/aep.2209

Authors: Man Xie, Mengyun Chen, Qiongshan Huang, Kaisheng Lin, Manhua Chen, Shanshan Cui, Binbin Liu, Xiaowei Liu, Chuanghu Xu, Zeyin Hu, Zhen Li

Institutions: Jieyang People's Hospital, Affiliated Hospital of Hebei University, Fujian Medical University, Nanjing Brain Hospital, University of Science and Technology of China, Sun Yat-sen University Cancer Center, Xiangya Hospital Central South University

Language: English

Topic: Stroke Rehabilitation and Recovery

Subfield: Rehabilitation

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W7224423246

FWCI:

Cites: 17

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Related to: 10