ArticleFrontiers in psychiatry2022
The role of family and peer factors in the development of early adolescent depressive symptoms: A latent class growth analysis.
Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Predicting adolescent depression: an interpretable machine learning model.BMC medical informatics and decision making · 2026Article
- Family Environmental Risk and Perceived Stress in Adolescent Depressive Symptoms: A Network Analysis.Child psychiatry and human development · 2026Article
- Latent trajectories of mental health service use in an Australian state population cohort of children.The Australian and New Zealand journal of psychiatry · 2025Article
- Victimization, polyvictimization, and depression symptoms among immigrants and native children and youth in Chile.Child and adolescent psychiatry and mental health · 2024Article
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11 authors.
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Abstract
Few studies have explored the trajectories of Chinese early adolescent depressive symptoms or comprehensively considered the factors of family and peers. The present study aimed to identify the trajectories of depressive symptoms in early adolescence using a school-based sample assessed in three waves. The study also examined whether family and peer factors were significant predictors. A total of 586 Chinese primary and middle school students participated in the survey. A growth mixture model was used to find the trajectories of depressive symptoms, and multinominal logistic regression was used to identify the predictors. Three trajectories were identified, including a stable-low class, an increasing class, and a high-decreasing class. Results indicated that gender, parental psychological aggression and neglect, parental psychological control, traditional bullying/cyberbullying victimization, and friendship quality were significant predictors. However, witnessing intimate partner violence, parental behavior control, and traditional bullying/cyberbullying perpetration could not significantly predict the trajectories. The findings of this study can provide an empirical basis for teachers and clinical interveners to determine different development trajectories of depressive symptoms and carry out prevention and intervention.
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