A Mathematical Model For Analyzing And Optimizing Children’s Diet During Feeding Period

Authors

  • Monika Sahu , Rakesh Yadav

DOI:

https://doi.org/10.47750/pnr.2022.13.S10.332

Abstract

This paper demonstrates that at the time of complementary feeding period, children need a diet that meets the nutritional requirements. One thing also keep in mind that the diet should be affordable. Complementary feeding diets are also related to nearby available foods. Two questions are frequently raised in this context: 1) Can a diet suitable for the complementary feeding period be designed using locally available food? and 2) if this is possible, what is the most affordable, nutritionally adequate option? Is a diet available? These questions are typically addressed with a "trial and error" method. However, a more efficient and restrictive linear programming-based technique is also available. It has become more accessible since the introduction of strong computer systems. The goal of this review is as a result, it is necessary to inform paediatricians and public health professionals. In relation to this tool, the fundamental principles of linear programming are briefly discussed, and some practical examples are provided and its applications for developing sound dietary recommendations based on food in various contexts are explained. The main aim of the present study was to minimize the cost of nutritional diet given in complementary feeding period. To construct a mathematical model of diet selection for 6 to 23 months old children. In this paper an optimum data is made to minimize the expenditure on micronutrients supplements specially vitamins and minerals. We are using Lingo software to find the optimum diet. The result collected from the mathematical model declared the minimum cost of nutritional diet is Rs. 44.72 per day.

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Published

2022-12-31 — Updated on 2022-12-31

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Section

Articles

How to Cite

A Mathematical Model For Analyzing And Optimizing Children’s Diet During Feeding Period. (2022). Journal of Pharmaceutical Negative Results, 2771-2784. https://doi.org/10.47750/pnr.2022.13.S10.332