ORIGINAL RESEARCH article
Front. Psychiatry
Sec. Aging Psychiatry
Volume 16 - 2025 | doi: 10.3389/fpsyt.2025.1602287
Analysis of the current status and associated factors of depressive symptoms in Chinese middle-aged and elderly stroke patients-based on CHARLS data
Provisionally accepted- 1Xinxiang Medical University, Xinxiang, China
- 2The First People’s Hospital of Xinxiang, Xinxiang, Henan Province, China
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Background To investigate the prevalence and associated factors of depressive symptoms in middle-aged and elderly stroke patients in China, and to provide reference for improving the mental health of middle-aged and elderly stroke patients in China.The data for this study were drawn from the 2020 wave of the China Health and Retirement Longitudinal Study (CHARLS), and middle-aged and elderly stroke patients aged ≥45 years were considered as study subjects (n=988). A simplified version of the Epidemiological Survey Depression Scale score was used to determine depressive symptoms (≥10 points defined as depression) in the study population, and associated factors were analyzed using binary logistic regression.Among the 988 middle-aged and elderly stroke patients, 547 (55.4%) had depressive symptoms and 441 (44.6%) did not. The results of binary logistic regression analysis showed that education level, history of alcohol consumption, sleep quality, loneliness, self-rated health status, self-rated memory status, life satisfaction, and ADL were the associated factors of depressive symptom in middle-aged and elderly stroke patients (P < 0.05).The study has shown that depressive symptoms in Chinese middle-aged and elderly stroke patients are associated with a variety of factors, and healthcare professionals should regularly assess with early recognition and take interventions to improve the disease.
Keywords: Middle-aged and older adults, Stroke, Depressive symptom, CHARLS, factors
Received: 29 Mar 2025; Accepted: 19 May 2025.
Copyright: © 2025 Shi, Liu, Sun, Li, Wang, Zhu, Pan, Chen and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Huimin Zhang, Xinxiang Medical University, Xinxiang, China
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