Bergman Ethan, Krishnan Dharini, Englund Timothy F, Gururajan Raj, Gerrish Heather
1Department of Health Sciences, Central Washington University, Ellensburg, WA 98926 USA.
D.V. Living Science Enterprises Private Limited, India, Chennai, 600 004 India.
Health Inf Sci Syst. 2020 Feb 27;8(1):11. doi: 10.1007/s13755-020-0101-5. eCollection 2020 Dec.
School lunch programs have been implemented as a method to facilitate better learning environments for children. These programs bring together the importance of adequate nutrition for academic performance, growth and development. This study served to assess the impact of the School Lunch Program in India and observe measures related to nutrition adequacy and stunting in school aged children in Chennai, India. Dietary and anthropometric data were collected among students of ages 7 to 10 in a privately funded ( = 64) and a publicly funded school ( = 28). Bioelectrical Impedance Analysis was assessed for private school students. BMI for Age Z-scores for the private school (0.05 ± 1.36) (mean ± standard deviation) and public school (- 0.91 ± 2.01) were significantly different (p = 0.008). Additionally, 32% of public school students exhibited mild stunting, classified as Z-scores less than - 1. Total calories consumed during the private school lunch was 269 ± 112 and 463 ± 234 for the publically funded school. Analysis of nutritional parameters of meals suggest that adequacy was otherwise fair during this singular analysis but does not provide evidence to correlate body composition and long term implications of malnutrition with this study population. Additional longitudinal analysis is required to better assess these implications.
学校午餐计划已作为一种为儿童营造更好学习环境的方法而实施。这些计划将充足营养对学业成绩、生长发育的重要性结合在一起。本研究旨在评估印度学校午餐计划的影响,并观察印度钦奈学龄儿童营养充足和发育迟缓相关的指标。在一所私立资助学校(n = 64)和一所公立资助学校(n = 28)中,收集了7至10岁学生的饮食和人体测量数据。对私立学校学生进行了生物电阻抗分析。私立学校的年龄别BMI Z评分(0.05±1.36)(均值±标准差)和公立学校的(-0.91±2.01)有显著差异(p = 0.008)。此外,32%的公立学校学生表现出轻度发育迟缓,分类为Z评分小于-1。私立学校午餐期间消耗的总热量为269±112,公立资助学校为463±234。对餐食营养参数的分析表明,在这一单独分析中,充足程度在其他方面还算可以,但没有提供证据将本研究人群的身体成分与营养不良的长期影响联系起来。需要进行额外的纵向分析以更好地评估这些影响。