Personalized DHA Supplementation Method for Breast Milk Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current DHA supplementation recommendations for breastfeeding mothers are not personalized, often resulting in insufficient breast milk DHA levels to meet the requirements of their infants, particularly in populations with limited fish intake.
Innovation Solution
A method using maternal and infantile parameters, such as milk DHA levels, BMI, infant weight-for-age z-score, and age, along with additional factors like genetic data and dietary intake, to determine a personalized DHA supplementation dose through regression analysis, ensuring adequate breast milk DHA content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a fixed minimum DHA supplementation dose of 200 mg is recommended to all breastfeeding mothers, then the recommendation is simple and easy to implement, but it is insufficient for some mothers to achieve adequate breast milk DHA levels, particularly those with limited fish intake
Solution Approach 1:
The patent applies parameter changes by transitioning from a fixed supplementation dose (200 mg) to a personalized dose determined by regression analysis using multiple parameters including maternal BMI, dietary intake, and lifestyle factors. This allows the DHA supplementation recommendation to be dynamically adjusted based on individual characteristics, thereby achieving both adequacy of breast milk DHA content and systematic implementation
Solution Approach 2:
The patent implements feedback by using regression analysis that incorporates maternal parameters and dietary intake data to determine personalized supplementation doses. The system continuously adapts recommendations based on individual responses and outcomes, improving the reliability of achieving adequate breast milk DHA levels while maintaining ease of operation through a structured assessment framework
2Reliability
If DHA supplementation recommendations are personalized using multiple maternal and infantile parameters through regression analysis, then the adequacy of breast milk DHA content is improved, but the complexity of the supplementation determination process increases
Solution Approach 1:
The patent applies segmentation by dividing the complex determination process into distinct modules: data collection (maternal parameters, dietary intake, lifestyle factors), regression analysis processing, and supplementation dose calculation. This modular approach maintains reliability through comprehensive parameter consideration while improving ease of operation through systematic, step-by-step implementation
Solution Approach 2:
The patent uses parameter changes to simplify the complex determination process by identifying and weighting key parameters (maternal BMI, dietary intake, lifestyle factors) that have the greatest impact on breast milk DHA content. This allows the system to focus on critical parameters rather than attempting to account for all possible variables, thereby reducing complexity while maintaining adequacy
Data Source
AI summary
The present invention relates to a method for determining a personalised docosallexaenoic acid (DHA) supplementation dose to be taken by a mother to meet the DHA requirements of the mother's infant.