Association between sleep and depressive symptoms among primary and secondary school students
10.16835/j.cnki.1000-9817.2024301
- VernacularTitle:中国中小学生睡眠状况及其与抑郁症状的关联
- Author:
YUAN Yayun
1
Author Information
1. School of Education, Linyi University, Linyi (276005) , Shandong Province, China
- Publication Type:Journal Article
- Keywords:
Sleep;
Depression;
Mental health;
Regression analysis;
Students
- From:
Chinese Journal of School Health
2024;45(10):1465-1470
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To understand the sleep status of primary and secondary school students in China and its relationship with depressive symptoms, so as to provide scientific evidence for improving their sleep status and reducing the incidence of depressive symptoms.
Methods:Data of 4 232 primary and secondary school students come from China Family Panel Studies (CFPS) data of 2018 and 2020. Sleep status was measured by using self reported questionnaire, and depressive symptoms was measured by using the Center for Epidemiologic Studies Depression Scale-8 Items (CES-D8). Variance analysis, χ 2 test, multiple linear regression analysis (MLR) and restricted cubic spline models (RCS) were conducted to analysis the association of sleep status and depressive symptoms among primary and secondary school students.
Results:From 2018 to 2020, the average sleep duration on weekdays and on weekends among primary and secondary school students was (7.96±1.38) and (9.30±1.51)h, respectively. The prevalence of insufficient sleep was 42.75%, 11.41%. A total of 1 921 students (45.39%) had a nap, 567 (13.40%) students napped >1.0 h/d. A total of 2 997 students (70.82%) caught up sleep on weekends, 595 (14.06%) caught up sleep >2.0 h/d. MLR showed that insufficient sleep on weekdays, insufficient sleep on weekends, catching up >2.0 h/d on weekends were risk factors for depressive symptoms of primary and secondary school students ( β =0.40, 0.39, 0.41, P <0.05). RCS showed that sleep duration at night, and napping duration had nonlinear dose response relationships with depressive symptoms ( P trend <0.05, P non linear <0.05), with optimal durations of 9.0 h, 10.0 h, and 40 min.
Conclusions:Insufficient sleep at night, inappropriate napping duration and inappropriate weekend catch up sleep duration are risk factors for depressive symptoms of primary and secondary school students. It is necessary to actively change bad sleep behaviors to reduce the risk of depressive symptoms.
