[Growth retardation of children and its influencing factors in the Nutrition Improvement Program for Rural Compulsory Education Students in 2019].

To understand the growth retardation among primary and secondary school students in areas covered by the Nutrition Improvement Program for Rural Compulsory Education Students and its influencing factors to provide evidence for improving the nutrition status of rural students in China. The multi-stage cluster random sampling method selected 1 550 969 primary and secondary school students aged 6-15 years from China's central and western regions. The ratio of male and female students was balanced. The height was measured, and the growth retardation of students was determined according to the Screening Criteria for School-age Children and Adolescents malnutrition (WS/T 456-2014), from the school and county questionnaire survey related factors. The number of cases and percentages described the growth retardation of students, and the test was used for comparison between groups. Binary logistic regression was used to analyze students' growth retardation factors. In 2019, the growth retardation rate of primary and secondary school students in areas covered by the Nutrition Improvement Program for Rural Compulsory Education Students was 5.7% (88 631/1 550 969), the growth retardation rate in the western part (7.1%, 66 167/927 954) was higher than that in the central part (3.7%,19 511/533 973) with difference statistically significant (<0.001). The growth retardation rate of the boys (6.3%,50 665/803 851) were higher than that of girls (5.1%, 37 966/747 118), the difference was statistically significant (<0.001). The growth retardation rate of primary school students in central China was 3.9%(14 914/380 598), higher than that of junior middle school students (3.0%,4 597/153 375, <0.001). In contrast, the growth retardation rate of the western junior high school students (7.2%, 21 494/297 217) were higher than that of elementary school students (7.1%, 44 673/630 737), with a difference statistically significant (all =0.009). Multi-factor logistic regression results showed that, in high income area (=0.829, 95%: 0.816-0.842, <0.001), parents providing part of the meal cost (=0.948, 95%: 0.931-0.965, <0.001), enterprises providing meals (=0.845, 95%: 0.805-0.887, <0.001), schools providing milk (=0.780, 95%: 0.767-0.793, <0.001), health education courses (=0.702, 95%: 0.682-0.723, <0.001) and other local nutrition improvement efforts (=0.739, 95%: 0.720-0.758, <0.001) were negatively correlated with the occurrence of growth retardation, The growth retardation rate of the students was lower. There appeared significant regional, gender, and age differences in the growth retardation rate of primary and middle school students in areas covered by the Nutrition Improvement Program for Rural Compulsory Education Students. Appropriate food supply in schools, health education courses, and parental participation in nutritional improvement was related to children's lower growth retardation rate.