基于HAPC-CCREM模型，本文使用CFPS 2010—2020年数据，从动态视角和交叉视角分析了中国成年人抑郁的社会分化及其演变趋势。研究发现，成年人抑郁程度在教育、收入和性别上存在分化，且随着年龄增长和时期发展不断扩大，在出生队列上出现“奇异值”和复杂变动。成年人抑郁程度在教育和性别交叉结构上存在分化，教育对女性抑郁程度的改善更明显，但这种效应随着年龄增长逐渐减弱；从时期来看，抑郁程度的性别差异在各教育组人群中保持稳定；从出生队列来看，在20世纪80年代中期之后出生的人群中，各教育组人群抑郁程度的性别差异持续存在。

Based on Hierarchical APC-cross classified random effects models, the study analyzes the social differentiation of adult depression and its evolutionary trends in China using data from China Family Panel Studies (2010 - 2020) from both a dynamic perspective and the intersectional perspective. It has been found that there is a differentiation in the level of depression among adults in terms of education, income, and gender. Additionally, this differentiation tends to increase with age and over time, showing "outliers” and complex variations within birth cohorts. Furthermore, it also finds that adult depression levels diverge at the intersection of education and gender, with education ameliorating depression levels more markedly in females, but that this effect diminishes with age; in terms of period change, gender differences in depression levels remain stable across education group cohorts; and in terms of birth cohort change, gender differences in depression levels persist across education group cohorts among those born after the mid-1980s.

本文受教育部人文社会科学重点研究基地重大项目“中国人口长期均衡发展关键问题研究”资助（项目号：22JJD840001）。

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