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Depressive symptoms and SES among the mid-aged and elderly in China: Evidence from the China Health and Retirement Longitudinal Study national baseline

机译:中国中老年人的抑郁症状和SES:来自中国健康与退休纵向研究国家基线的证据

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We examine the prevalence of depressive symptoms among the mid-aged and elderly in China and examine relationships between depression and current SES factors such as gender, age, education and income (per capita expenditures). In addition, we explore associations of depressive symptoms with measures of early childhood health, recent family deaths and current chronic health conditions. We use data from the China Health and Retirement Longitudinal Study (CHARLS) national baseline, fielded in 2011/12, which contains the ten question version of the Center for Epidemiologic Studies-Depression scale (CES-D) for 17,343 respondents aged 45 and older. We fill a major gap by using the CHARLS data to explore the general patterns of depression and risk factors among the Chinese elderly nationwide, which has never been possible before. We find that depressive symptoms are significantly associated with own education and per capita expenditure, and the associations are robust to the inclusion of highly disaggregated community fixed effects and to the addition of several other risk factors. Factors such as good general health during childhood are negatively associated with later depression. There exist strong gender differences, with females having higher depression scores. Being a recent widow or widower is associated with more depressive symptoms, as is having a series of chronic health problems, notably having moderate or severe pain, disability or problems with measures of physical functioning. Adding the chronic health problems to the specification greatly reduces the SES associations with depressive symptoms, suggesting that part of the pathways behind these associations are through these chronic health factors.
机译:我们研究了中国中老年人中抑郁症状的患病率,并研究了抑郁与当前SES因素(例如性别,年龄,教育程度和收入(人均支出))之间的关系。此外,我们探讨了抑郁症状与幼儿健康,近期家庭死亡和当前慢性健康状况之间的关系。我们使用2011/12年度中国健康与退休纵向研究(CHARLS)国家基准数据,其中包含10个问题版本的流行病学研究中心抑郁量表(CES-D),针对17343名45岁以上的受访者。我们使用CHARLS数据来探索全国华人老年人抑郁和危险因素的一般模式,这是前所未有的,从而填补了重大空白。我们发现抑郁症状与自己的教育程度和人均支出有着显着的关联,并且这种关联对于包含高度分散的社区固定影响以及添加其他一些风险因素是很有效的。儿童期总体健康状况良好等因素与以后的抑郁症呈负相关。存在强烈的性别差异,女性的抑郁得分较高。作为新近的寡妇或w夫,会伴随更多的抑郁症状,并伴有一系列慢性健康问题,尤其是中度或重度疼痛,残疾或身体机能问题。在规范中增加慢性健康问题,可以大大减少与抑郁症状相关的SES关联,表明这些关联背后的部分途径是通过这些慢性健康因素实现的。

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