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目的:初步分析影响脑卒中患者生活质量的相关因素,明确改善脑卒中患者生活质量的主要干预方式,以指导脑卒中患者采取正确治疗措施及良好的生活方式。方法:选择初次脑卒中发病后3个月的住院患者180例,记录患者的一般情况如性别、年龄、职业以及疾病特征等。采用逐步多元回归分析法进行分析,筛选有意义的相关因素。结果:14个预测变量预测因变量时,进入回归方程的显著变量共有6个(有否进行康复治疗、经济状况、自身对疾病态度、家庭态度、年龄、有无并发症等),多元相关系数为0.818,其联合解释变异量为0.669,亦即表中6个变量能联合预测生活质量66.9%的变异量。就个别变量的解释来看,以康复治疗层面预测力最佳,其解释量为39.1%,其次为经济状况,解释量为0.498～0.391即10.7%。这两个变量联合预测力近50%。结论:有否进行康复治疗、经济状况、自身对疾病态度、家庭态度、年龄、有无并发症等因素可较好地预测脑卒中患者生活质量得分,对生活质量影响较大。
OBJECTIVE: To analyze the related factors affecting the quality of life of patients with stroke, and to clarify the main intervention ways to improve the quality of life in stroke patients so as to guide the stroke patients to take the correct treatment measures and good life style. Methods: One hundred and eighty inpatients were selected 3 months after the initial stroke. The general conditions of the patients such as sex, age, occupation and disease characteristics were recorded. Stepwise multiple regression analysis was used to analyze the relevant factors of significance. Results: There were 6 significant variables (whether or not rehabilitation treatment, economic status, attitude to disease, family attitude, age, complication, etc.) entered the regression equation when 14 predictors were dependent variables, and multivariate correlation coefficient Is 0.818. The joint explanatory variance is 0.669, that is, the six variables in the table can jointly predict the variation of 66.9% of the quality of life. In terms of the explanation of individual variables, the best predictive power for rehabilitation treatment is 39.1%, followed by the economic situation, with an explanatory volume of 0.498-0.391 or 10.7%. The two variables combined forecast nearly 50%. Conclusion: Whether rehabilitation treatment, economic status, attitude toward illness, family attitude, age, complication or not can better predict the quality of life score of stroke patients and have a great impact on the quality of life.