上海交通大学学报（医学版）

上海交通大学学报（医学版）

• 论著（卫生事业管理） • 上一篇    下一篇

重庆市城乡居民健康不公平性分析

邹钦培，钟晓妮，李洮庭，张 燕   

  1. 重庆医科大学 公共卫生与管理学院卫生统计教研室， 重庆 400016
  • 出版日期:2014-09-28 发布日期:2014-09-26
  • 通讯作者: 钟晓妮, 电子信箱: znx66@vip.sina.com。
  • 作者简介:邹钦培（1988—）， 女， 硕士生; 电子信箱: appleeat43@163.com。
  • 基金资助:

    重庆市统筹城乡医疗卫生改革发展区域卫生规划研究（CHSR1）

Analysis of health inequity of urban and rural residents in Chongqing

ZOU Qin-pei, ZHONG Xiao-ni, LI Tao-ting, ZHANG Yan   

  1. Department of Medical Statistics, School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China
  • Online:2014-09-28 Published:2014-09-26
  • Supported by:

    Regional Health Planning for Health Reform Development Balanced Urban-Rural in Chongqing, CHSR1

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摘要：

目的 了解重庆市城乡居民基本健康状况及影响因素，分析其健康不公平性。方法 描述居民人口学特征、2周患病率、慢性病患病率和自评健康不良率，采用Logistic回归分析性别、年龄、文化程度、收入、医疗保险（简称医保）和城乡对居民健康的影响，根据可控变量的集中系数（CI）和健康不公平指数（HII）评价健康不公平性。结果 城乡居民在人口学和健康状况上存在差异；影响健康的因素有性别、年龄、文化程度、收入、医保和城乡；农村2周患病率、慢性病患病率和自评健康不良率的HII均＞0.1；城市2周患病率和慢性病患病率的HII＞0.1，自评健康不良率＜0.1。结论 城乡居民均存在健康不公平，文化程度、收入和医保是健康不公平的影响因素；HII的综合评价效果较好。

关键词: 健康不公平, 城乡, Logistic回归, 集中指数, 健康不公平指数

Abstract:

Objective To understand the basic health condition of urban and rural residents in Chongqing and its influencing factors and to analyze the health inequity. Methods Demographic characteristics, two-week prevalence, chronic illness prevalence, and poor perceived health prevalence were calculated. Logistic regression analysis was adopted to analyze the effects of gender, age, education degree, income, medical insurance, and urban and rural area effects on the health of residents. The health inequity was evaluated according to the concentration index (CI) of controlled variables and health inequity index (HII). Results The demographic characteristics and health condition of urban and rural residents were different. Factors that influenced the health were gender, age, education degree, income, medical insurance, urban area, and rural area. The HII scores of two-week prevalence, chronic illness prevalence, and poor perceived health prevalence of rural residents were above 0.1. The HII scores of two-week prevalence and chronic illness prevalence of urban residents were above 0.1 and the HII of poor perceived health prevalence was under 0.1. Conclusion Health inequity exists between urban residents and rural residents. The influencing factors of health inequity are education degree, income, and medical insurance. The comprehensive evaluation result of HII is ideal.

Key words: health inequity, urban and rural, Logistic regression analysis, concentration index, health inequity index