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Empirical study on the network analysis of college students’ mental health and sleep quality ina military medical university, Chongqing
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Jia CHEN1, Xiao-xiao XU2, Da-li YI1, Fang LI1, Ya-zhou WU1
Modern Preventive Medicine | 2026, 53(12) : 2232 - 2237
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Modern Preventive Medicine | 2026, 53(12): 2232-2237
• Health and Social Behavior •
Empirical study on the network analysis of college students’ mental health and sleep quality ina military medical university, Chongqing
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Jia CHEN1, Xiao-xiao XU2, Da-li YI1, Fang LI1, Ya-zhou WU1
Affiliations
  • Department of Military Preventive Medicine, Military Health Statistics Teaching and Research Office, Army Medical University, Chongqing 400038, China
Published: 2026-06-25 doi: 10.20043/j.cnki.MPM.202602095
Outline
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Objective

To explore the correlation patterns and group differences between college students’ mental health and sleep quality using network analysis methods, providing empirical evidence for targeted interventions.

Methods

A total of 428 college students were selected as the research subjects, and surveys were conducted using the General Health Questionnaire (GHQ-20) and the Pittsburgh Sleep Quality Index (PSQI). The mental health-sleep quality network was constructed using the qgraph package in R software, and centrality indicators of each node were calculated. The Network Comparison Test (NCT) was used to analyze the influence of gender and military status on this network.

Results

In the overall network, daytime dysfunction (a7), anxiety (b3), and subjective sleep quality (a1) were core nodes, while anxiety (b3), daytime dysfunction (a7), and depression (b2) served as core bridges between modules. Gender differences were reflected in higher global connectivity strength in males (s=0.960,P=0.048), with statistically significant edge association differences between sleep disorders and daytime dysfunction (P=0.005), and between daytime dysfunction and self-denial (P=0.045). Military status only had a moderating effect on the association between subjective sleep quality and sleep efficiency (P=0.018), with no significant difference in the overall network.

Conclusion

Network analysis reveals the correlation characteristics between college students’ sleep and mental health, providing a scientific path for targeted services.

Mental health  /  Sleep quality  /  Network analysis
陈佳, 徐晓晓, 易大莉, 李芳, 伍亚舟. 重庆市某军医大学大学生心理健康与睡眠质量的网络分析实证研究. 现代预防医学, 2026 , 53 (12) : 2232 -2237 . DOI: 10.20043/j.cnki.MPM.202602095
Jia CHEN, Xiao-xiao XU, Da-li YI, Fang LI, Ya-zhou WU. Empirical study on the network analysis of college students’ mental health and sleep quality ina military medical university, Chongqing[J]. Modern Preventive Medicine, 2026 , 53 (12) : 2232 -2237 . DOI: 10.20043/j.cnki.MPM.202602095
Year 2026 volume 53 Issue 12
230
101
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Article Info
doi: 10.20043/j.cnki.MPM.202602095
  • Receive Date:2026-02-08
  • Online Date:2026-09-28
  • Published:2026-06-25
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  • Received:2026-02-08
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Affiliations
    Department of Military Preventive Medicine, Military Health Statistics Teaching and Research Office, Army Medical University, Chongqing 400038, China
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表12种不同金属材料的力学参数
科
Family
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Number of
genus
种数
Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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