上海交通大学学报（医学版）

上海交通大学学报（医学版）

• 论著（公共卫生） • 上一篇    下一篇

重庆城乡2型糖尿病患者生命质量及其影响因素分析

孙振兴1，唐晓君1，金娅娜1，何苗1，龙倩2，汤胜蓝2   

  1. 1.重庆医科大学 公共卫生与管理学院， 医学与社会发展研究中心, 重庆 400016； 2.美国杜克大学 全球健康研究所, 达勒姆 27710, 美国
  • 出版日期:2016-06-28 发布日期:2016-07-25
  • 通讯作者: 唐晓君, 电子信箱: tangxiaoj0726@qq.com。
  • 作者简介:孙振兴(1992—)， 男， 硕士生; 电子信箱: sun_zhxing@163.com。
  • 基金资助:

     美国杜克大学国际合作项目（X7383）

Analysis of the quality of life and its influencing factors for patients with type 2 diabetes mellitus in urban and rural areas in Chongqing

SUN Zhen-xing1, TANG Xiao-jun1, JIN Ya-na1, HE Miao1, LONG Qian2, TANG Sheng-lan2   

  1. 1.School of Public Health and Management, Medical and Social Development Research Center, Chongqing Medical University, Chongqing 400016, China; 2.Duke Global Health Institute, Durham 27710， USA
  • Online:2016-06-28 Published:2016-07-25
  • Supported by:

    International Cooperated Projects of Duke University，X7383

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摘要：

目的 调研重庆城乡地区糖尿病患者生命质量情况，探讨城乡间糖尿病患者生命质量的影响因素，为提高糖尿病患者的生命质量提供依据。方法 采用多阶段整群随机抽样获得2型糖尿病患者496例，运用一般情况调查表和糖尿病患者生命质量特异性量表（DSQL）进行生命质量测评。采用单因素分析和多元线性回归分析城乡各维度生命质量影响因素。结果 2型糖尿病患者生命质量平均（62.80±14.47）分，农村患者生命质量低于城镇患者（P<0.01），受损程度从高到低依次为心理/精神、生理功能、社会关系和治疗维度。城乡患者在生理功能、心理/精神和社会关系维度存在差异（P<0.01）。单因素分析和多元线性回归分析结果显示，城镇2型糖尿病患者生命质量总分与病程（β=0.169, P=0.004）、文化程度（β=-0.105, P=0.043）和人均月收入（β=-0.126, P=0.007）有关，农村2型糖尿病患者生命质量总分与性别（β=0.157, P=0.040）、人均月收入（β=-0.116, P=0.025）有关。结论 重庆城镇2型糖尿病患者生命质量较农村患者好。针对城乡患者生命质量的不同影响因素，应有针对性地开展干预，从而提高患者生命质量。

关键词: 2型糖尿病, 城乡, 生命质量, 影响因素, 生命质量特异性量表

Abstract:

Objective To survey the quality of life in patients with diabetes from urban and rural areas in Chongqing, discuss associated influencing factors, and provide evidence for improving the quality of life in diabetic patients. Methods The multi-stage cluster random sampling was used to obtain 496 cases of type 2 diabetes and their quality of life was assessed with the General Information Questionnaire and the Diabetes Specific Quality of Life Scale (DSQL). The univariate analysis and multiple linear regression analysis were used to analyze the influencing factors for the quality of life in urban and rural dimensions .Results The average score of patients with type 2 diabetes was 62.80±14.47 and the quality of life in patients in rural areas was lower as compared with patients in urban areas (P<0.01). The most influenced dimension was psychological/spiritual dimension, followed by physiological function, social relations, and treatment dimensions (P<0.01). There are differences in psychological/spiritual, physiological function, and social relations dimensions between patients in urban and rural areas (P<0.01). Univariate analysis and multiple linear regression analysis showed that the total score of quality of life in patients with type 2 diabetes in urban areas was correlated to the duration of diabetes (β=0.169, P=0.004), education level (β=-0.105,P=0.043), and per capita monthly income (β=-0.126, P=0.007). The total score of quality of life in patients with type 2 diabetes in rural areas was correlated to the sex (β=0.157, P=0.040) and per capita monthly income (β=-0.116, P=0.025).  Conclusion In Chongqing, the quality of life among patients with type 2 diabetes in urban areas is better as compared with patients in rural areas. Purposeful interventions should be carried out according to different influencing factors for the quality of life among patients with type 2 diabetes in urban and rural areas in order to improve the quality of life.

Key words: type 2 diabetes, urban and rural areas, quality of life, influencing factors, Diabetes Specific Quality of Life Scale