Analysis of depressive symptoms and associated factors among primary and secondary school students in the in depth monitoring counties Rural Nutrition Improvement Program
10.16835/j.cnki.1000-9817.2025039
- VernacularTitle:农村营养改善计划深入监测县中小学生抑郁症状及相关因素分析
- Author:
WANG Xiaoning, CAO Wei, WANG Hongliang, CHEN Mulei, GAN Qian, XU Peipei, LUO Ruihe, YANG Titi, LIU Yao, PAN Hui, ZHANG Jianfen, YOU Wenshuo, ZHANG Qian, XU Juan
1
Author Information
1. National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing (100050) , China
- Publication Type:Journal Article
- Keywords:
Nutrition policy;
Depression;
Mental health;
Regression analysis;
Students;
Rural population
- From:
Chinese Journal of School Health
2025;46(2):219-222
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To understand the prevalence and related factors of depressive symptoms among primary and secondary school students in the in depth monitoring counties of China s Rural Compulsory Education Nutrition Improvement Program, so as to provide a basis for prevention and psychological intervention of depressive symptoms among children and adolescents in rural areas.
Methods:In November 2022, a stratified random sampling method was adopted to collect height and weight data, basic personal and family information of 7 949 primary and secondary school students from grade three to grade nine through physical measurements and questionnaires in 56 key monitoring schools implementing the Student Nutrition Improvement Program in 7 in depth monitoring counties (Jalaid Banner in Inner Mongolia, Jinzhai County in Anhui, Mao Xian in Sichuan, Tiandeng County in Guangxi, Mian County in Shaanxi, Zhaozhou County in Heilongjiang and Youxi County in Fujian), and to obtain the information related to their depressive symptoms through the self assessment questionnaire on depression. Multivariate Logistic regression analysis was conducted to analyze the prevalence of depressive symptoms among primary and secondary school students, as well as their related factors.
Results:The detection rate of depressive symptoms among primary and secondary school students in the in depth monitored counties was 23.5%. Logistic regression analysis showed that the probability of detecting depressive symptoms was higher among female students, middle school students, students whose video screen duration per day was >2 h, and students whose parents marital status was divorced or widowed ( OR =1.40, 1.64, 1.60, 1.24), and students whose sleep duration reached the recommended standard, whose parents usually accompanied them daily for time was 60-<120 min and ≥120 min, and students whose mothers literacy level was middle school graduation had lower probability of detecting depressive symptoms ( OR =0.85, 0.84, 0.71, 0.76) ( P < 0.05 ).
Conclusion:The detection rate of depressive symptoms among students in the in depth monitoring area is high, and targeted interventions need to be developed for students to reduce the risk of mental health problems.
