中国女性幸福感的预测因素分析

Background Subjective wellbeing (SWB) is an important indicator of women’s quality of life and social development. Identifying key predictors of women’s SWB is important for understanding their living conditions and informing policy-oriented research. Previous studies have often relied on traditional linear models, which may not fully capture the multidimensional and nonlinear nature of women’s SWB. Methods Using data drawn from the 2023 Chinese General Social Survey (CGSS), this study applied an interpretable machine learning framework to predict SWB among Chinese women from fairness, health,