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Socioeconomic Status and Morbidity Rate Inequality in China: Based on NHSS and CHARLS Data

机译:中国的社会经济地位和发病率不平等:基于NHSS和CHARLS数据

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摘要

Previous studies have shown there are no consistent and robust associations between socioeconomic status and morbidity rates. This study focuses on the relationship between the socioeconomic status and the morbidity rates in China, which helps to add new evidence for the fragmentary relationship between socioeconomic status and morbidity rates. The National Health Services Survey (NHSS) and China Health and Retirement Longitudinal Study (CHARLS) data are used to examine whether the association holds in both all-age cohorts and in older only cohorts. Three morbidity outcomes (two-week incidence rate, the prevalence of chronic diseases, and the number of sick days per thousand people) and two socioeconomic status indicators (income and education) are mainly examined. The results indicate that there are quadratic relationships between income per capita and morbidities. This non-linear correlation is similar to the patterns in European countries. Meanwhile, there is no association between education years and the morbidity in China, i.e., either two-week incidence rate or prevalence rate of chronic diseases has no statistically significant relationship with the education level in China.
机译:先前的研究表明,社会经济状况与发病率之间没有一致而牢固的关联。这项研究的重点是中国的社会经济地位和发病率之间的关系,这有助于为社会经济地位和发病率之间的零散关系提供新的证据。国家健康服务调查(NHSS)和中国健康与退休纵向研究(CHARLS)数据用于检查该协会是否在所有年龄段的人群和仅年龄较大的人群中均成立。主要检查了三个发病率结果(两周的发病率,慢性病的患病率和每千人的病日数)和两个社会经济状况指标(收入和教育程度)。结果表明,人均收入与发病率之间存在二次关系。这种非线性相关性与欧洲国家的模式相似。同时,中国的受教育年限与发病率之间没有关联,即,两周的慢性病发病率或慢性病患病率与中国的受教育程度没有统计学上的显着关系。

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