Analysis of undernutrition and associated factors among left behind and nonleftbehind primary and secondary school students in the Nutrition Improvement Program areas in central and western China
10.16835/j.cnki.1000-9817.2026094
- VernacularTitle:中国中西部营养改善计划地区留守与非留守中小学生营养不足及相关因素分析
- Author:
HU Xin, WANG Wenbin, CAO Wei, WANG Hongliang, CHEN Mulei, LIU Yao, YANG Titi,〖JZ〗 PAN Hui, LUO Ruihe, ZHANG Jianfen, 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;
Nutritional status;
Regression analysis;
Students
- From:
Chinese Journal of School Health
2026;47(3):327-331
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the prevalence of undernutrition and its associated factors among left behind and non left behind primary and secondary school students in the Nutrition Improvement Program for Rural Compulsory Education Students (NIPRCES) areas of central and western China, so as to provide evidence for improving the nutritional status of children and adolescents.
Methods:A survey was conducted among 123 782 students selected by random cluster sampling method in grades 3-9 from NIPRCES in central (Hebei, Shanxi, Heilongjiang, Jilin, Anhui, Jiangxi, Henan, Hunan, Hubei, and Hainan) and western (Gansu, Guangxi, Inner Mongolia, Ningxia, Tibet, Shaanxi, Guizhou, Sichuan, Xinjiang, the Xinjiang Production and Construction Corps, Yunnan, Qinghai, and Chongqing) China in 2023. Anthropometric measurements and questionnaires were used to assess nutritional and dietary status. The prevalence of undernutrition was compared between left behind and non left behind students by Chi square test, and associated factors were analyzed by three level Logistic mixed effects model.
Results:The prevalence of undernutrition was 8.5% (4 326) in left behind students and 8.1% (5 905) in non left behind students. Three level Logistic mixed effect model analysis showed that whether left behind or non left behind, the undernutrition rates of primary and secondary students in western regions were higher than those of students in central regions [ OR (95% CI )=1.72(1.57-1.87),2.25(2.07- 2.43 )]; the undernutrition risk was lower for those whose fathers had a cultural level of high school or above [ OR (95% CI )=0.69(0.62-0.77),0.90(0.82-0.98)] or junior high school [ OR (95% CI )=0.72(0.66-0.79),0.92(0.85-0.99)] compared to those with primary school or below; picky eating or selective eating increased the risk of undernutrition [ OR (95% CI )=2.36(2.07-2.68),2.28(2.04-2.55)], and primary and secondary school students without nutritional content in health education classes had higher rates of undernutrition [ OR (95% CI )=1.12(1.03-1.23),1.09(1.01-1.17)](all P <0.05).
Conclusion:The prevalence of undernutrition is slightly higher in left behind primary and secondary students than in non left behind primary and secondary students in central and western NIPRCES areas, with variations across different characteristics.