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 adolescents. LCA analysis of responses to the 27 items in the Depressive Symptoms Scale led to the classification of depressive symptoms into four subgroups based on severity: “no depressive symptoms group” (22.5 %), a “low depressive symptoms group” (35.7 %), a “transition group” (31.6 %), and a “high depressive symptoms group” (10.2 %). Gender, grade level, academic performance, academic stress, family environment, and level of psychological resilience are associated factors for subgroups of depressive symptoms among rural adolescents. There should be increased training of rural educators to enable early recognition of depressive characteristics and risk factors, facilitating targeted prevention and intervention strategies.

Keywords

• Adolescence
• Depressive symptoms
• Latent class analysis
• Resilience
• Chinese rural areas