Objective: To systematically analyze the association between dairy products intake and overweight and obesity in children and adolescents, so as to provide evidence for the control of overweight and obesity in children and adolescents. Methods: Retrieve between January 2013 and October 2023, the relevant research literature about milk and its products of the relationship between intake of child and adolescent overweight and obesity were collected, from China National Knowledge Infrastructure(CNKI), Wanfang, PubMed, Web of Science, Embase, and the Cochrane Library databases. Taking OR and 95% CI as effect indicators, quality evaluation and data extraction were conducted by using the inclusion and exclusion criteria, Revmam 5.4 software was used for test for heterogeneity and publication bias analysis. Results: A total of 19 articles were included, including 11 cross sectional studies, 4 cohort studies, 3 randomized controlled studies, and 1 case-control study. A total of 109 661 participants were included. The results of Meta analysis of cross sectional studies showed that the total intake of milk and dairy products was not significantly associated with obesity in children and adolescents ( OR =0.91,95% CI =0.76-1.09, P >0.05). However, liquid milk intake was negatively associated with overweight and obesity in children and adolescents ( OR =0.82,95% CI =0.74-0.91, P <0.01). The Meta analysis of cohort studies showed that milk and dairy products intake were negatively associated with obesity in children and adolescents ( OR =0.59,95% CI =0.45-0.79, P <0.01). Randomized controlled studies supported the effects of milk and dairy products intake on children and adolescents with overweight and obesity, while case-control studies showed an inverse association ( P <0.05). Conclusions The intake of milk and dairy products is associated with overweight and obesity in children and adolescents. Measures should be taken to guide children and adolescents’ milk intake behaviors to prevent childhood overweight and obesity.

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.