A latent class analysis of depressive symptoms among rural Chinese adolescents and their association with psychological resilience.

ABSTRACT: Numerous studies have demonstrated the heterogeneity of depressive symptoms, but few studies have focused on the heterogeneity of depressive symptoms among rural Chinese adolescents. In November to December 2022, multistage sampling was employed to administer questionnaires to 1,816 rural adolescents aged 11-19 years from six schools in Henan Province, China. Depressive symptoms were measured using the Chinese version of the Children's Depression Inventory Scale. Latent class analysis (LCA) was utilized to identify subgroups of depressive symptoms. The investigation of subgroup characteristics and associated factors was conducted through χ2 tests, ANOVA, and multinomial logistic regression analyses. The findings revealed a 24.24 % detection rate of depressive symptoms among Chinese rural a

SUBMITTER: Cui Z 

PROVIDER: S-EPMC10874837 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature