2014年安徽省池州市农村老年人的生命质量评价及影响因素

目的 了解池州市农村老年人的生命质量及其影响因素。 方法 采取随机整群抽样的方法于2014年7月抽取池州市农村939名60岁以上的老年人进行一般情况问卷和生命质量(SF-36量表)调查,使用多元线性回归分析各维度得分与年龄、性别、年收入、吸烟、饮酒、疾病状况、婚姻状况的关系。 结果 池州市60岁以上农村老年人平均生命质量得分为(67.51±16.83)分。60岁以上农村老年人,年收入是生理职能、一般健康状况、情感职能这三个维度评分的影响因素(P<0.05),无慢性病者、不吸烟者、不喝酒者生命质量评分较高,有慢性病者、>70岁者的八个维度评分均低于无慢性病者、≤70岁者,且这八个维度评分差异均有统计学意义(P<0.05)。多元线性逐步回归分析显示影响农村老年人生命质量的相关因素为年龄(P=0.001)、性别(P=0.008)、年收入(P=0.001)、饮酒(P=0.002)、慢性病(P=0.003)、婚姻(P=0.004)。 结论 池州市农村老年人的生命质量一般,年龄、性别、年收入、饮酒、慢性病、婚姻是影响池州市农村老年人生命质量的影响因素。

Evaluation on the quality of life and its influencing factors among the rural elderly in Chizhou City,Anhui Province

Objective To investigate the quality of life and its influencing factors among the rural elderly in Chizhou City.　Methods The demographic questionnaire and concise health questionnaire (SF-36) scale were used to survey the demographic characteristics and quality of life of 939 rural elders aged ≥60 years and selected by random cluster sampling method in Chizhou City in July 2014. Multiple linear regression analysis was used to analyze the association of the score of each dimension with age, gender, annual income, smoking, drinking, disease status and marital status.　Results The average score of the quality of life of the rural elderly in Chizhou City was (67.51±16.83). The annual income was the factor influencing physiological function, general health status and emotional function (P<0.05). The elderly without chronic diseases, smoking and drinking had higher quality of life scores. The scores of 8 dimensions in the elderly with chronic diseases and aged > 70 years were all significantly lower than those in those without chronic diseases and aged ≤ 70 years (P<0.05). Multiple linear regression analysis showed that the factors affecting quality of life of the rural elderly were age (P=0.001), gender (P=0.008), annual income (P=0.001), drinking (P=0.002), chronic diseases (P=0.003) and marital status (P=0.004).　Conclusions The quality of life of the rural elderly in Chizhou City is just so-so. Age, gender, annual income, drinking, chronic diseases and marital status are the factors influencing their quality of life.