Zhihui Liu1, Xuan Zhou1, Wei Zhang1, Lanshu Zhou1. 1. a Clinical Nursing Department, School of Nursing , Second Military Medical University , Shanghai , China.
Abstract
Background and objectives: Stroke commonly results in physical dysfunction and seriously affects the quality of life. We aimed to estimate the prevalence and association of resilience with the quality of life among patients at hospitalization and whether the association was independent of physical function, anxiety, depression, and other population characteristics. Methods: A cross-sectional study at a tertiary hospital included 215 individuals. The Chinese version of the Connor-Davidson Resilience Scale was used to evaluate resilience. Stroke Scale Quality of life was used to measure the quality of life. Other validated questionnaires were used to assess physical function (Functional Independency Measure), anxiety, and depression (the Hospital Anxiety and Depression Scale). Hierarchical regression analysis was applied to determine the association between psychological factors and quality of life. Multiple linear regression was also used to examine whether resilience independently affects the quality of life. Results: The mean score of 215 participants' resilience was 62.36 ± 13.965. Resilience, anxiety, and depression were separately significantly associated with quality of life. Resilience was negatively associated with anxiety and depression. Subjects with high scores of resilience showed a higher quality of life at patients' hospitalization (Standardized Coefficients = 0.275) independent of physical function, anxiety, depression, disease-related characteristics, and sociodemographic characteristics. Discussion: Resilience was an independent predictor of quality of life beyond anxiety and depression in patients with ischemic stroke. Interventions aimed at improving resilience at acute hospitalization might be a worthwhile addition to improve quality of life early after stroke.
Background and objectives: Stroke commonly results in physical dysfunction and seriously affects the quality of life. We aimed to estimate the prevalence and association of resilience with the quality of life among patients at hospitalization and whether the association was independent of physical function, anxiety, depression, and other population characteristics. Methods: A cross-sectional study at a tertiary hospital included 215 individuals. The Chinese version of the Connor-Davidson Resilience Scale was used to evaluate resilience. Stroke Scale Quality of life was used to measure the quality of life. Other validated questionnaires were used to assess physical function (Functional Independency Measure), anxiety, and depression (the Hospital Anxiety and Depression Scale). Hierarchical regression analysis was applied to determine the association between psychological factors and quality of life. Multiple linear regression was also used to examine whether resilience independently affects the quality of life. Results: The mean score of 215 participants' resilience was 62.36 ± 13.965. Resilience, anxiety, and depression were separately significantly associated with quality of life. Resilience was negatively associated with anxiety and depression. Subjects with high scores of resilience showed a higher quality of life at patients' hospitalization (Standardized Coefficients = 0.275) independent of physical function, anxiety, depression, disease-related characteristics, and sociodemographic characteristics. Discussion: Resilience was an independent predictor of quality of life beyond anxiety and depression in patients with ischemic stroke. Interventions aimed at improving resilience at acute hospitalization might be a worthwhile addition to improve quality of life early after stroke.
Entities:
Keywords:
Resilience; anxiety; depression; quality of life; stroke
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