King R B
Northwestern University Medical School, Department of Physical Medicine and Rehabilitation, Rehabilitation Institute of Chicago, Ill 60611, USA.
Stroke. 1996 Sep;27(9):1467-72. doi: 10.1161/01.str.27.9.1467.
The purposes of this study were to examine overall and domain-specific quality of life in long-term stroke survivors and to identify variables that predict quality of life after stroke.
The study used a cross-sectional, descriptive correlational design. Subjects were 86 stroke survivors who were interviewed 1 to 3 years after stroke. Quality of life was measured with the use of an instrument that assesses satisfaction and importance for four domains (health and functioning, socioeconomic, family, and psychological-spiritual). Independent variables were age, social class, aphasia, functional status, motor impairment, depression, comorbidity, and perceived social support. Multiple regression analysis was used to predict quality of life.
Thirty percent of subjects scored in the depressed range. The mean overall quality of life score was relatively high and was comparable to that of a normative population. Quality of life was highest for the family domain and lowest for health and functioning. Depression, perceived social support, and functional status predicted quality of life (adjusted R2 = .38) and contributed to prediction of domain quality of life. Social support and three additional variables, social class, age, and cardiovascular disease, predicted socioeconomic quality of life.
The identification of depression, social support, and functional status as predictors of quality of life suggests the need to assist stroke survivors in coping and in maintaining and strengthening their support systems.
本研究旨在调查长期卒中幸存者的总体及特定领域生活质量，并确定预测卒中后生活质量的变量。
本研究采用横断面描述性相关设计。研究对象为86名卒中幸存者，在卒中后1至3年接受访谈。使用一种评估四个领域（健康与功能、社会经济、家庭及心理-精神）满意度和重要性的工具来测量生活质量。自变量包括年龄、社会阶层、失语症、功能状态、运动障碍、抑郁、合并症及感知到的社会支持。采用多元回归分析预测生活质量。
30%的研究对象得分处于抑郁范围。总体生活质量得分均值相对较高，与正常人群相当。家庭领域的生活质量最高，健康与功能领域最低。抑郁、感知到的社会支持及功能状态可预测生活质量（调整后R2 = 0.38），并有助于预测各领域生活质量。社会支持以及另外三个变量，即社会阶层、年龄和心血管疾病，可预测社会经济生活质量。
将抑郁、社会支持和功能状态确定为生活质量的预测因素，表明有必要帮助卒中幸存者应对并维持和加强其支持系统。
