医学
萧条(经济学)
纵向研究
生命历程法
人口学
社会经济地位
晚年抑郁症
流行病学研究中心抑郁量表
入射(几何)
住所
心理健康
老年学
精神科
抑郁症状
环境卫生
心理学
人口
焦虑
经济
认知
社会学
病理
宏观经济学
物理
光学
社会心理学
作者
Milagros Ruiz,Yaoyue Hu,Pekka Martikainen,Martin Bobák
标识
DOI:10.1136/jech-2019-212216
摘要
Background Despite the growing prevalence of depression in the Chinese elderly, there is conflicting evidence of life course socioeconomic position (SEP) and depression onset in China, and whether this association is akin to that observed in Western societies. We compared incident risk of mid–late life depression by childhood and adulthood SEP in China and England, a country where mental health inequality is firmly established. Methods Depression-free participants from the China Health and Retirement Longitudinal Study (N=8508) and the English Longitudinal Study of Ageing (N=6184) were studied over 4 years. Depressive symptoms were classified as incident cases using the Center for Epidemiologic Studies Depression Scale criteria. Associations between SEP (education, wealth, residence ownership and childhood/adolescent deprivation) and depression symptom onset were assessed using Cox proportional hazards models. In China, we also investigated children’s government employment status as a SEP marker. Results Higher education and wealth predicted lower incidence of depression in both countries. The association with non-ownership of residence appeared stronger in England (HR 1.61, 95% CI 1.41 to 1.86) than in China (HR 1.11, 95% CI 0.95 to 1.29), while that with childhood/adolescent deprivation was stronger in China (HR 1.43, 95% CI 1.29 – 1.60) than in England (HR 1.33, 95% CI 0.92 to 1.92). Chinese adults whose children were employed in high-status government jobs, had lower rates of depression onset. Conclusions Consistent findings from China and England demonstrate that SEP is a pervasive determinant of mid–late life depression in very diverse social contexts. Together with conventional measures of SEP, the SEP of children also affects the mental health of older Chinese.
科研通智能强力驱动
Strongly Powered by AbleSci AI