Analysis of depressive symptoms and associated factors among junior and senior high school students in Beijing from 2019 to 2023
10.16835/j.cnki.1000-9817.2026028
- VernacularTitle:北京市2019—2023年中学生抑郁症状及相关因素分析
- Author:
KUANG Huining*, LUO Huijuan, GAO Ruoyi, LIU Keke, E Boran, ZHANG Chenyu, SUN Bingjie, QIN Ran, GUO Xin
1
Author Information
1. School of Public Health, Capital Medical University, Beijing 100069, China
- Publication Type:Journal Article
- Keywords:
Depression;
Mental health;
Regression analysis;
Students
- From:
Chinese Journal of School Health
2026;47(1):60-64
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the prevalence and associated factors of depressive symptoms among junior and senior high school students in Beijing from 2019 to 2023, in order to provide a scientific basis for interventions targeting high risk groups.
Methods:From 2019 to 2023, a stratified cluster random sampling method was used to select 88 927 junior and senior high school students from 16 districts in Beijing. The Center for Epidemiologic Studies Depression Scale(CES-D) was conducted to assess depressive symptoms. The Chi square test was used to compare the detection rates of depressive symptoms among different student groups, and the trend Chi square test was employed for trend analysis of detection rates across the years. Multivariate Logistic regression analysis was applied to examine the association between the detection of depressive symptoms and related factors among junior and senior high school students.
Results:From 2019 to 2023, the prevalence rates of depressive symptoms among junior and senior high school students in Beijing were 20.45%, 18.19%, 16.64%, 17.89% and 18.17%, respectively, with an overall downward trend ( χ 2 trend =27.51, P <0.01). Multivariate Logistic regression analysis revealed that after adjusting for gender, monitoring year, educational stage,family structure,boarding status and has taken a medical leave of absence in the past year unhealthy dietary behaviors ( OR=1.80, 95%CI =1.73-1.87), physical inactivity ( OR=1.24, 95%CI =1.19-1.29), try smoking ( OR=1.46, 95%CI =1.35-1.58), try alcohol( OR=1.96, 95%CI =1.88-2.05), Internet addiction ( OR=3.88, 95%CI =3.57-4.22), and adverse ear related behavior ( OR=1.82, 95%CI =1.71-1.93) were all associated with an increased risk of depressive symptoms among junior and senior high school students (all P <0.05).
Conclusions:The prevalence depression symptoms among middle school students in Beijing showed a fluctuating downward trend from 2019 to 2023. Targeted interventions should be adopted to reduce the occurrence of depression symptoms among junior and senior high school students.
