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Association of sleep quality with co-occurrence of non-suicidal self-injury behavior and depressive symptoms among junior high school students
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Siwei YANG, Zhouyan WANG, Gen CHEN, Xiaoke WAN, Xia LI, Chang PENG, Hong WANG*
Chinese Journal of School Health | 2025, 46(12) : 1765 - 1770
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Chinese Journal of School Health | 2025, 46(12): 1765-1770
• Mental Health •
Association of sleep quality with co-occurrence of non-suicidal self-injury behavior and depressive symptoms among junior high school students
Full
Siwei YANG, Zhouyan WANG, Gen CHEN, Xiaoke WAN, Xia LI, Chang PENG, Hong WANG*
Affiliations
  • College of Public Health, Chongqing Medical University/Center for Medical and Social Development Research, Chongqing 400016, China
Published: 2025-12-25 doi: 10.16835/j.cnki.1000-9817.2025372
Outline
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Objective

To explore the association between various components of sleep quality and the co-occurrence of non-suicidal self-injury (NSSI) behaviors and depressive symptoms among junior high school students, so as to provide evidence for targeted prevention strategies of NSSI and depression.

Methods

From May to June 2024, a total of 5 008 junior high school students from 8 schools in 2 districts/counties of Chongqing were selected through a stratified cluster sampling method. The Pittsburgh Sleep Quality Index (PSQI), the Center for Epidemiological Studies Depression Scale (CES-D), and the Adolescent Non-suicidal Self-injury Assessment Questionnaire (ANSAQ) were used to assess sleep quality, depressive symptoms, and NSSI, respectively. Data were analyzed by using the Chi-square test, Bonferroni correction, and multivariate Logistic regression.

Results

Non-NSSI group and depressive symptoms group accounted for 68.11% among junior high school students, NSSI-only group accounted for 4.71%, only depressive symptoms group accounted for 14.94%, and co-occurrence of NSSI and depressive symptoms group accounted for 12.24%. The prevalence of the co-occurrence group was higher in girls (16.39%) than in boys (7.85%) (χ2=84.89, P < 0.01). After controlling for gender, grade, and boarding status etc., multivariate Logistic regression analysis revealed that five sleep components, including subjective sleep quality, sleep latency, sleep duration, sleep disturbances, and daytime dysfunction, were significantly and positively associated with the co-occurrence of NSSI and depressive symptoms (OR=1.30-3.86, all P < 0.05). The strength of association between these components and the co-occurrence group, in descending order, was: daytime dysfunction (OR=2.52), sleep disturbances (OR=2.36), subjective sleep quality (OR=1.76), sleep latency (OR=1.44), and sleep duration (OR=1.22) (all P < 0.01).

Conclusions

The co-occurrence of NSSI and depressive symptoms is prevalent among junior high school students, with girls being more significantly affected. Sleep disturbances and daytime dysfunction may represent particularly important risk factors. Targeted and prioritized intervention strategies addressing specific sleep components should be developed and implemented to reduce the co-occurrence of NSSI and depressive symptoms in junior high school students.

Sleep  /  Self-injurious behavior  /  Depression  /  Mental health  /  Regression analysis  /  Students
杨思维, 王周艳, 陈根, 万小可, 李霞, 彭畅, 王宏. 睡眠质量与初中生非自杀性自伤行为和抑郁症状共存的关联. 中国学校卫生, 2025 , 46 (12) : 1765 -1770 . DOI: 10.16835/j.cnki.1000-9817.2025372
Siwei YANG, Zhouyan WANG, Gen CHEN, Xiaoke WAN, Xia LI, Chang PENG, Hong WANG. Association of sleep quality with co-occurrence of non-suicidal self-injury behavior and depressive symptoms among junior high school students[J]. Chinese Journal of School Health, 2025 , 46 (12) : 1765 -1770 . DOI: 10.16835/j.cnki.1000-9817.2025372
Year 2025 volume 46 Issue 12
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doi: 10.16835/j.cnki.1000-9817.2025372
  • Receive Date:2025-07-24
  • Online Date:2026-11-06
  • Published:2025-12-25
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  • Received:2025-07-24
  • Revised:2025-10-09
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    College of Public Health, Chongqing Medical University/Center for Medical and Social Development Research, Chongqing 400016, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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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