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陶慧文, 张晓. 基于Fairlie分解法城乡老年人自评健康状况比较[J]. 中国公共卫生, 2018, 34(4): 517-521. DOI: 10.11847/zgggws1117141
引用本文: 陶慧文, 张晓. 基于Fairlie分解法城乡老年人自评健康状况比较[J]. 中国公共卫生, 2018, 34(4): 517-521. DOI: 10.11847/zgggws1117141
Hui-wen TAO, Xiao ZHANG. Disparity in self-rated health between urban and rural elderly: a Fairlie decomposition analysis[J]. Chinese Journal of Public Health, 2018, 34(4): 517-521. DOI: 10.11847/zgggws1117141
Citation: Hui-wen TAO, Xiao ZHANG. Disparity in self-rated health between urban and rural elderly: a Fairlie decomposition analysis[J]. Chinese Journal of Public Health, 2018, 34(4): 517-521. DOI: 10.11847/zgggws1117141

基于Fairlie分解法城乡老年人自评健康状况比较

Disparity in self-rated health between urban and rural elderly: a Fairlie decomposition analysis

  • 摘要:
      目的  了解中国城乡老年人的自评健康状况及城乡差异,为缩小城乡老年人健康差异、提高老年人健康公平性提供参考依据。
      方法  收集2014年中国家庭动态跟踪调查(CFPS)中全国25个省/市/自治区4 058名 ≥ 65岁老年人自评健康相关数据,应用Stata 12.0软件进行Fairlie分解,分析城乡老年人健康现状及其差异。
      结果  4 058名 ≥ 65岁老年人中,自评健康者1 977人,自评健康率为48.72 %;城镇老年人自评健康率为51.40 %,高于乡村老年人的46.37 %,城乡老年人自评健康状况差异有统计学意义(χ2 = 10.21,P = 0.001)。多因素非条件logistic回归分析结果显示,饮酒和锻炼的城镇老年人自评健康状况较好,女性城镇老年人自评健康状况较差;中学、吸烟、饮酒和锻炼的乡村老年人自评健康状况较好。Fairlie分解结果显示,城乡老年人健康状况差异中的51.29 %是可观测因素造成的,另外48.71 %是城乡地域属性本身造成的;各因素分解结果显示,生活方式对城乡老年人自评健康状况差异的影响有统计学意义(β = 0.016 4,P = 0.007),贡献率达32.60 %。
      结论  城镇老年人自评健康状况优于老年人,生活方式是造成城乡老年人自评健康状况差异的主要因素。

     

    Abstract:
      Objective  To investigate the status of and urban-rural disparity in self-rated health among the elderly in China and to provide evidences for narrowing the disparity and promoting health equity in elderly population.
      Methods  We extracted data on self-rated health of 4 058 urban and rural elderly aged 65 and older from the dataset of Chinese Family Panel Study conducted in 2014 in 25 provinces/cities/autonomous regions of China. Fairlie decomposition was adopted to analyze the disparity in self-rated health between the urban and rural elderly.
      Results  Of all the elderly, 48.72% (1 977) reported good health status. The urban elderly reported a significantly higher ratio of good health than the rural elderly (51.40% vs. 46.37%, χ2 = 10.21; P = 0.001). Logistic regression analyses demonstrated that the urban elderly having alcohol consumption and physical exercise and the rural elderly with high school education, tobacco smoking, alcohol drinking, and having physical exercise were more likely to report good health status; while the urban female elderly were more likely to report poor health status. Fairlie decomposition analysis revealed that 51.29% of the urban-rural disparity in the health of elderly could be explained by observable factors and 48.61% by regional characteristics of the elderly's residence. Lifestyle is a significant influencing factor for self-rated health (β = 0.016 4, P = 0.007), which could explain 32.6% of the overall disparity in self-rated health among the elderly.
      Conclusion  The self-rated health of urban elderly is better than that of rural elderly and lifestyle is the most important influencing factor of the disparity in self-rated health between urban and rural elderly.

     

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