Vitamin D Food Fortification Strategies on Population-Based Dietary Intake Data Using Mixed-Integer Programming.

Area of Science:

• Nutritional Science
• Public Health Nutrition
• Food Science

Background:

• Danish population exhibits low dietary vitamin D intake.
• Food fortification is a viable strategy to enhance vitamin D levels.
• Current dietary patterns do not meet recommended vitamin D intake.

Purpose of the Study:

• To determine optimal vitamin D fortification levels for Danish foods.
• To ensure adequate vitamin D intake without altering dietary habits.
• To identify fortification strategies that meet average requirements (AR) and avoid exceeding tolerable upper intake levels (UL).

Main Methods:

• Utilized a mixed-integer programming approach.
• Modeled current Danish food intake patterns.
• Calculated optimal fortification levels across food groups to meet AR and stay below UL.

Main Results:

• Significant increase in population vitamin D intake demonstrated.
• Achieved adequate vitamin D levels without requiring changes in dietary patterns.
• Method provides a neutral approach to food group preferences.

Conclusions:

• Food fortification is an effective strategy to improve vitamin D status in Denmark.
• The mixed-integer programming model offers a flexible tool for personalized fortification strategies.
• The approach ensures public health goals for vitamin D intake are met efficiently.