Association of sleep quality with co-occurrence of non-suicidal selfinjury behavior and depressive symptoms among junior high school students
10.16835/j.cnki.1000-9817.2025372
- VernacularTitle: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
- Author:
YANG Siwei, WANG Zhouyan, CHEN Gen, WAN Xiaoke, LI Xia, PENG Chang, WANG Hong
1
Author Information
1. College of Public Health, Chongqing Medical University/Center for Medical and Social Development Research, Chongqing 400016, China
- Publication Type:Journal Article
- Keywords:
Sleep;
Self injurious behavior;
Depression;
Mental health;
Regression analysis;
Students
- From:
Chinese Journal of School Health
2025;46(12):1765-1770
- CountryChina
- Language:Chinese
-
Abstract:
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%) ( χ 2=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.
