Mathematical Programming for Complementary Feeding Diet Optimization
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Solution Overview
Problem
Current methods lack systematic approaches to determine quantitative feeding recommendations for infants and toddlers during the complementary feeding period, leading to suboptimal nutrient intakes and inadequate dietary diversity, particularly in developed countries, where existing guidelines are scarce and often fall short in meeting micronutrient requirements.
Innovation Solution
Mathematical programming is used to optimize complementary food diets based on age, breastfeeding status, and fortification, determining nutrient targets and average intakes to minimize deviations in nutrient and food type consumption, thereby calculating appropriate fortificant and supplement doses to meet nutritional needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing dietary guidelines are used for complementary feeding, then general nutritional recommendations are provided, but quantitative food-based dietary guidelines are lacking and micronutrient requirements are not met
Solution Approach 1:
The patent transforms qualitative dietary guidelines into quantitative food-based dietary guidelines by specifying exact amounts of food groups and nutrients. The mathematical programming approach calculates precise nutrient targets and food intake recommendations based on age, breastfeeding status, and fortification scenarios, converting general recommendations into measurable, actionable quantitative guidelines that specify exactly how much of each food group should be consumed.
2Reliability
If nutrient recommendations are published by authoritative organisations, then general nutrient targets are established, but quantitative food-based dietary guidelines to meet them are limited
Solution Approach 1:
The patent segments the dietary guideline system into distinct components: nutrient targets, food group recommendations, and specific food intake quantities. The mathematical programming model divides the problem into calculating nutrient requirements first, then determining food-based recommendations that meet those requirements. This segmentation makes the complex task of creating quantitative FBDGs more manageable and implementable by breaking it down into systematic steps.
Solution Approach 2:
The patent introduces mathematical programming as an intermediary tool that bridges the gap between nutrient recommendations and food-based dietary guidelines. This computational methodology acts as a mediator that translates abstract nutrient targets into concrete food intake recommendations, making the transition from theoretical nutrient requirements to practical dietary guidance feasible and systematic.
3Quantity of substance
If existing dietary patterns are followed, then energy intake is provided, but dietary diversity is low and micronutrient intakes are suboptimal
Solution Approach 1:
The patent creates dynamic dietary recommendations that adapt to different age groups, breastfeeding statuses, and fortification scenarios. The mathematical programming model adjusts food-based dietary guidelines based on these varying conditions, making the recommendations flexible and adaptable rather than static. This allows the same framework to provide appropriate guidance for infants at different developmental stages and under different feeding conditions.
Solution Approach 2:
The patent applies local quality by providing specific recommendations for different food groups and nutrients tailored to each age group and feeding scenario. Rather than giving uniform recommendations, the model customizes the dietary guidelines to address specific nutritional needs at different developmental stages, ensuring that each age group receives appropriately targeted guidance for achieving dietary diversity and micronutrient adequacy.
4Ease of operation
If breast-fed infants follow existing guidelines, then some nutritional needs are met, but micronutrient requirements particularly fall short
Solution Approach 1:
The patent performs preliminary calculations of nutrient targets and food-based recommendations before finalizing the dietary guidelines. The mathematical programming model pre-calculates the specific amounts of complementary foods needed to meet micronutrient requirements for breast-fed infants, allowing parents and healthcare providers to have ready-to-use quantitative recommendations rather than having to calculate them separately. This preliminary action ensures micronutrient adequacy is built into the guidelines from the start.
Data Source
AI summary
The present invention provides a method for determining a complementary feeding diet providing a plurality of food types to meet the nutrient and energy requirements of a child's diet during the complementary feeding period, comprising: (a) providing (i) nutrient targets for a plurality of nutrients and (ii) average intakes for the plurality of food types; and (b) determining the complementary feeding diet by minimising the weighted sum of (i) the average negative deviation between the nutrient targets and the amount of each nutrient in the child's diet and (ii) the average deviation between the average intakes and the amount of each food type in the child's diet.