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目的:应用EQ-5D量表评价城市育龄妇女生命质量状况,分析影响其生命质量的相关因素。方法:采用多阶段分层整群随机抽样方法确定调查对象。应用欧洲五维度健康量表EQ-5D对城市育龄妇女的生命质量进行问卷调查,并对影响其生命质量的相关因素进行分析。结果:城市育龄妇女EQ-5D指数和EQ-VAS平均得分分别为(0.981±0.085)分、(86.290±11.735)分。在量表的五个维度测量中,维度2(自我照顾)方面没有困难的人最多,占98.8%,困难报告率较高的是维度4(疼痛/不舒服)和维度5(焦虑/抑郁),分别为3.8%和4.1%。单因素分析表明,不同年龄、婚姻状况、文化程度、就业状况以及患慢性病情况的城市育龄妇女在EQ-5D指数和EQ-VAS得分方面差异有统计学意义(P<0.05)。多因素Logistic回归分析表明,行动能力维度影响因素是患慢性病情况;自我照顾维度影响因素是婚姻状况和患慢性病情况;日常活动维度影响因素是文化程度和患慢性病情况;疼痛/不舒服维度影响因素主要为年龄、婚姻状况以及患慢性病情况;焦虑/抑郁维度影响因素主要为年龄、婚姻状况、就业状况以及患慢性病情况。结论:年龄、婚姻状态、文化程度、就业状况以及是否患有慢性病可影响城市育龄妇女的生命质量。
Objective: To evaluate the quality of life of women of childbearing age in EQ-5D scale and to analyze the related factors that affect their quality of life. Methods: A multistage stratified cluster random sampling method was used to determine the subjects. Applying the European Five-Dimensional Health Scale EQ-5D to questionnaire the quality of life of urban women of childbearing age and analyzing the related factors that affect their quality of life. Results: The average scores of EQ-5D index and EQ-VAS in urban women of childbearing age were (0.981 ± 0.085) and (86.290 ± 11.735) points respectively. Of the five dimensions of the scale, 98.8% had difficulty in dimension 2 (self-care), and those in dimension 4 (pain / discomfort) and dimension 5 (anxiety / depression) had higher difficulty reporting rates , Respectively 3.8% and 4.1%. Univariate analysis showed that there were significant differences in EQ-5D index and EQ-VAS scores among urban women of childbearing age with different age, marital status, educational level, employment status and chronic diseases (P <0.05). Multivariate logistic regression analysis showed that the influencing factors of the mobility ability dimension were the prevalence of chronic diseases, the factors of self-care dimension were the marital status and the incidence of chronic diseases, the factors of daily activities dimension were the educational level and the incidence of chronic diseases, and the influencing factors of pain / discomfort dimensions Mainly for the age, marital status and the incidence of chronic diseases; anxiety / depression dimensions mainly for age, marital status, employment status and the incidence of chronic diseases. CONCLUSIONS: Age, marital status, educational attainment, employment status and whether or not suffering from chronic diseases can affect the quality of life of urban women of childbearing age.