Network analysis of emotional intelligence and sleep problems among junior and senior high school students
10.16835/j.cnki.1000-9817.2025350
- VernacularTitle:中学生情绪智力与睡眠问题的网络分析
- Author:
SHANG Ruizhe, YANG Shuyu, YU Lan, YUAN Zihao, CHEN Zhiwei, MUKEDAISI Tuerxun, LIU Qiaolan
1
Author Information
1. ersity, Chengdu 610041, Sichuan Province, China
- Publication Type:Journal Article
- Keywords:
Emotions；Sleep；Mental health；Network analysis；Students
- From:
Chinese Journal of School Health
2025;46(12):1727-1730
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the association between emotional intelligence and sleep problems at the symptom level among junior and senior high school students, so as to provide new insights for interventions targeting junior and senior high school students sleep disorders.
Methods:From November 2023 to May 2024, a stratified cluster random sampling method was employed to select 3 531 first year junior high school and first year senior high school students from 6 schools in Guangyuan City and Liangshan Yi Autonomous Prefecture in Sichuan Province, as well as Lhasa City in Tibet Autonomous Region. The Insomnia Severity Index Scale and the Wong and Law Emotional Intelligence Scale(WLEIS) were used to assess sleep problems and emotional intelligence. A network analysis was performed to explore the relationship between emotional intelligence and sleep disorders, and a gender based network comparison analysis was conducted.
Results:The reported rate of sleep problems among junior and senior high school students was 47.3%, with severe sleep problems of 2.2%. Difficulty maintaining sleep, worry about sleep, and emotional application were the core symptoms in the network (node strength values: 1.11, 0.98, and 0.82, respectively). Dissatisfaction with sleep and emotional application served as bridge symptoms connecting emotional intelligence and sleep problems (bridge strength values: 1.77 and 1.59, respectively). The edge weights of the emotional intelligence and sleep problems network differed significantly between genders (maximum difference in edge weight values was 0.13， P <0.05).
Conclusions:Emotional application ability and dissatisfaction with sleep are the key nodes in the network connecting emotional intelligence and sleep problems. Targeted efforts to enhance emotional application ability may effectively reduce the risk of sleep problems among junior and senior high school students.
