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居家老年慢性病患者生命质量影响因素的Logistic回归分析 被引量:13

Logistical Regression Analysis on Influence Factors of Quality of Life in Elderly Patients with Chronic Diseases
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摘要 目的探讨居家老年慢性病患者生命质量(QOL)的影响因素,为该人群生命质量社区干预方法的改进提供依据。方法采用分层随机抽样的方法,应用SF-36生命质量量表(第二版)、社会支持量表(SSRS)、简易应对问卷(SCSQ)和自制一般情况调查表对206例居家老年慢性病患者进行调查,对获得的数据进行合理量化及数据处理后进行多因素Logistic回归分析。结果影响居家老年慢性病患者生理健康总评(PCS)的主要因素为年龄、性别、文化程度、患病数量、疾病认识程度、客观支持、社会支持总分和消极应对(OR值分别为0.300、0.207、0.304、0.357、3.073、0.583、2.320、0.650),影响心理健康总评(MCS)的主要因素为年龄、文化程度、医疗付费方式、社会支持总分和积极应对(OR值分别为0.327、1.985、0.078、2.300、1.492)。结论影响居家老年慢性病患者QOL的因素包括人口学和心理社会等多种因素,社区干预应采取综合措施以提高该人群的生命质量。 Objective To discuss the influencing factors of quality of life(QOL) in elderly patients with chronic diseases,with the aim of providing evidence for the improvement of community intervention.Methods Totally 206 elderly patients with chronic diseases were asked to fill in the version 2 of SF-36,Social Support Rate Scale(SSRS),Simplified Coping Style Questionnaire(SCSQ) and self-made "general survey questionnaire".All scores were processed by logistical regression analysis through univariate and multivariate.Results The factors that would affect physical component summary of elderly patients with chronic diseases included the age,sex,education level,number of diseases,knowledge of disease,objective support,social support and negative coping(OR values were 0.300,0.207,0.304,0.357,3.073,0.583,2.320,0.650,respectively).The factors that would affect mental component summary included the age,education level,medical payment,social support and positive coping(OR values were 0.327,1.985,0.078,2.300,1.492,respectively)Conclusion Several demographic and socio-psychological factors affect the quality of life in the elderly patients with chronic diseases.So comprehensive measures in community intervention should be taken to improve the quality of life of these people.
出处 《中国全科医学》 CAS CSCD 北大核心 2010年第28期3173-3175,共3页 Chinese General Practice
关键词 老年慢性病 生命质量 影响因素 LOGISTIC回归分析 Eldly patients with chronic disease Quality of life Influence factor Logistical regression analysis
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