Association of Psychological Adaptation and Quality of Life among Stroke Patients

碩士 === 亞洲大學 === 健康產業管理學系健康管理組碩士在職專班 === 102 === Background: Stroke is the main cause of mortality and long-term disability and the impacts on physical, psychological and social consequences are often accompanied with the survivors, and thus affects their quality of life dramatically. Because the dev...

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Bibliographic Details
Main Authors: Wu-Hu Lin, 林五湖
Other Authors: Hui-Chuan Hsu
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/21688697433545848095
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Summary:碩士 === 亞洲大學 === 健康產業管理學系健康管理組碩士在職專班 === 102 === Background: Stroke is the main cause of mortality and long-term disability and the impacts on physical, psychological and social consequences are often accompanied with the survivors, and thus affects their quality of life dramatically. Because the development of medical technology and improvement of medical care quality, the mortality of strokes gradually declines. The stroke survivors who suffer from disability continue to increase. Therefore the research about quality of life among stroke patients becomes more and more important. The “Selection, Optimization and Compensation”(SOC) model, one of the successful aging theories, describes the psychological adaptation process for the individuals when their physical function decrease with aging. Stroke patients, just as the disabled elderly, need to manage the influence of long-term disability through psychological adaptation. The present study applies the SOC model to examine the psychological adaptation of stroke patients and to explore its relationship with quality of life. Method: The participants were recruited from the outpatients of the rehabilitation department in a regional teaching hospital in central Taiwan. The data were collected by face-to-face structured questionnaire interviews, including demographic characteristics, stroke severity, ADL function, depression, cognition function, quality of life and psychological adaptation. Psychological adaptation based on SOC model covered the dimensions of Elective selection, Loss-based selection, Optimization, and Compensation. In total there were fifty-one participants finished the interviews. Results: Quality of life were moderate positive associated with psychological adaptation (r=0.305) for the stroke patients. The results of stepwise regression analysis showed that the higher elective selective adaptation was related to higher total quality of life (β=3.766). From the perspective of each dimension of quality of life, the higher elective selection adaptation of the stroke patients, the higher environmental quality of life (β=1.243) and higher social relation-related quality of life (β=0.358) they had. The higher compensational adaptation they had, the higher physical quality of life they would enjoy (β=1.372). Conclusion: Our findings show psychological adaptation was an important determinant of quality of life. Among different types of psychological adaptation, elective selection was most effective to quality of life, and compensational adaptation would help the stroke patients to achieve their rehabilitation goal. We suggest that taking psychological intervention into considerations in the present medical care model and future health policy decision. The patients' health will be improved comprehensively.