The Influence of Subjective Social Status on Self-Rated Health: Evidence from China

Pan Zequan, Liang Tingyu, Lin Tingting, Wu Junjie
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Abstract

Subjective Social Status (SSS) inevitably affects the self-rated health of individuals and /or societal groups. Based on the evidence from China, this paper aims to 1) assess the influence of Objective Social Status and Subjective Social Status on differences in self-rated health in China; 2) to examine the correlations between Subjective Social Status and perceived health. The data from the Chinese General Social Survey (CGSS) 2010 are selected to achieve the two aims with SSS measured by Subjective Family Economic Status (SFES, using the Likert scale) and Subjective Social Class (SSC, using the MacArthur scale), and Health Status measured by a continuous ill score calculated by the standard logarithmic normal distribution index conversion of self-rated health. Advanced statistical modeling using the nested multiple robust regression model and interaction analysis is used to deal with heteroscedasticity from the CGSS data. It is found that: 1) lower SSS is associated with poor health status and SSS is a more comprehensive predictor of health status; 2) aging has more apparent influences on the health of lower SSS groups; 3) lower SSS groups have received higher health returns from their educational attainment than higher SSS groups though they tend to be in poorer health status; 4) once have a chronic disease the health of lower SFES groups will suffer more deterioration than higher ones.
主观社会地位对自评健康的影响:来自中国的证据
主观社会地位(SSS)不可避免地影响个人和/或社会群体的自评健康。基于中国的证据,本文旨在评估客观社会地位和主观社会地位对中国自评健康差异的影响;2)考察主观社会地位与感知健康的相关关系。为了实现这两个目标,我们选择了2010年中国综合社会调查(CGSS)的数据,其中SSS采用主观家庭经济地位(SFES,使用Likert量表)和主观社会阶层(SSC,使用MacArthur量表)来测量,健康状况采用连续疾病评分(由自评健康的标准对数正态分布指数转换计算)来测量。采用嵌套多元稳健回归模型和交互作用分析的高级统计建模方法来处理CGSS数据的异方差。研究发现:1)较低的SSS与较差的健康状况相关,SSS是较全面的健康状况预测因子;2)年龄对低SSS组健康的影响更为明显;3)受教育程度较低的群体健康回报高于受教育程度较高的群体,但受教育程度较低的群体健康状况较差;4)一旦患有慢性疾病,低sses人群的健康状况比高sses人群更容易恶化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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