Literature DB >> 32175079

Nutrient analysis of school lunches and anthropometric measures in a private and public school in Chennai, India.

Ethan Bergman1, Dharini Krishnan2, Timothy F Englund3, Raj Gururajan4, Heather Gerrish5.   

Abstract

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 (n = 64) and a publicly funded school (n = 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. © Springer Nature Switzerland AG 2020.

Entities:  

Keywords:  Child nutrition; Malnutrition; Stunting

Year:  2020        PMID: 32175079      PMCID: PMC7046885          DOI: 10.1007/s13755-020-0101-5

Source DB:  PubMed          Journal:  Health Inf Sci Syst        ISSN: 2047-2501


  5 in total

Review 1.  School lunch program in India: background, objectives and components.

Authors:  Alka Mohan Chutani
Journal:  Asia Pac J Clin Nutr       Date:  2012       Impact factor: 1.662

2.  Mining comorbidity patterns using retrospective analysis of big collection of outpatient records.

Authors:  Svetla Boytcheva; Galia Angelova; Zhivko Angelov; Dimitar Tcharaktchiev
Journal:  Health Inf Sci Syst       Date:  2017-09-28

3.  Managing uncertainty in imputing missing symptom value for healthcare of rural India.

Authors:  Sayan Das; Jaya Sil
Journal:  Health Inf Sci Syst       Date:  2019-02-18

4.  Body fat reference curves for children.

Authors:  H D McCarthy; T J Cole; T Fry; S A Jebb; A M Prentice
Journal:  Int J Obes (Lond)       Date:  2006-04       Impact factor: 5.095

5.  The use of self-quantification systems for personal health information: big data management activities and prospects.

Authors:  Manal Almalki; Kathleen Gray; Fernando Martin Sanchez
Journal:  Health Inf Sci Syst       Date:  2015-02-24
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.