Network analysis of psychological symptoms in junior and senior high school students with different sleep qualities
10.16835/j.cnki.1000-9817.2026264
- VernacularTitle:不同睡眠质量中学生的心理症状网络分析
- Author:
LI Bo, ZHAO Min, PAN Pan, ZHANG Xuemei, LI Wenxiao, XIANG Bo, LAN Xia
1
Author Information
1. Outpatient Department, Luzhou Psychiatric Hospital, Luzhou 646000, Sichuan Province, China
- Publication Type:Journal Article
- Keywords:
Sleep;
Mental health;
Network analysis;
Students
- From:
Chinese Journal of School Health
2026;47(9):1281-1287
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the network structure of anxiety and depressive symptoms, and psychotic like experiences in junior and senior high school students with different sleep qualities, and to provide a reference for improving sleep quality in the population.
Methods:A cross sectional online survey was conducted among 22 997 junior and senior high school students from seven junior and senior high schools in Luzhou City, Sichuan Province, using convenience sampling. The Pittsburgh Sleep Quality Index (PSQI), Generalized Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9), and the 16item Prodromal Questionnaire (PQ-16) were administered. Independent sample t-test was used to compare mental health status between adolescents with and without sleep problems. Network analysis was applied to examine the symptom association patterns across gender and school stage subgroups.
Results:The prevalence of sleep problems among junior and senior high school students was 22.58%. The total anxiety symptom score (8.92± 4.02 ), total depressive symptom score (13.35±5.66), and scores for each factor of PQ-16 (perceptual and sensory abnormalities, thinking abnormalities, negative symptoms, and specific perceptual and sensory abnormalities) (3.32±3.32, 2.08±2.36, 3.36± 2.74 , 1.44±1.86) in the group with sleep problems were all significantly higher than those in the group without sleep problems ( 3.43 ±3.33, 5.03±4.73; 0.63±1.52, 0.47±1.11, 0.77±1.48, 0.25±0.79), with statistically significant differences ( t =99.60, 106.54, 82.49, 68.51, 89.09, 67.30, all P <0.01). In females with sleep problems, the anxiety-depressive symptoms edge weight was the highest (0.44). In males with sleep problems, the "sleep latency-sleep efficiency" edge weight was the highest (0.43), and the strength centrality values of "perceptual abnormalities" "medication factor" and "sleep latency" ranked the higher (1.32, 1.31 and 1.25). The network connectivity strength of the sleep problem group was higher in senior high school students than in junior high school students, and the strength centrality (1.12) and betweenness centrality (0.12) of negative symptoms were higher than those in junior high school students (1.02 and 0.11).
Conclusions:The network associations between sleep problems and psychological symptoms in junior and senior high school students exhibit gender and school stage specific characteristics. Differentiated intervention strategies should be tailored to specific subgroups.
