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Central symptoms and network associations of depressive symptoms among school-aged students: A network analysis
Tian Li1, Jiahui Chen2, Liu Yang2
1Collaborative Innovation Center of Assessment toward Basic Education Quality, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China; Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, China.
Background:
Depression is one of the most prevalent mental health problems occurred among school-aged students. Conceptualizing depressive symptoms as a network of interacting symptoms, this study used network analysis to identify central symptoms and network associations of depressive symptoms. The study also investigated how networks of depressive symptoms differ across school aged periods.
Methods:
A total of 2514 Chinese school-aged students in Grades 4 to 11 were recruited and asked to complete the Child Depression Inventory in this study.
Results:
The results showed that self-hatred consistently emerged as a central symptom of depressive symptoms across all school stages. Beyond this, each school stage had its unique central symptoms: loneliness was prominent in both elementary school and junior high school, while fatigue was more specific symptom to senior high school. When comparing the network structures across different school stages, there was a significant difference in network structure between elementary school students and junior high school students. The comparison in global strength showed that the network connectivity of depression network is stronger among elementary school students, with showing closer symptom associations.
Conclusions:
By identifying central symptoms and their distinct associations, particularly the pronounced symptom interconnections among elementary school students, this study emphasize the critical importance of early interventions. Recognizing these stage-specific characteristics is essential for the development of effective prevention and intervention programs for depressive symptoms in school-aged students.
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