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A computerized procedure for estimating nutrient intake.

M Williamson, C Azen, P Acosta

    Journal of Toxicology and Environmental Health
    |November 1, 1976
    PubMed
    Summary
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    A new method accurately calculates nutrient intake, including phenylalanine, from food diaries. This dietary analysis is crucial for understanding how aspartame affects phenylalanine levels in carriers of the phenylalanine hydroxylase enzyme.

    Area of Science:

    • Nutritional Science
    • Biochemistry
    • Computational Biology

    Background:

    • Accurate dietary intake assessment is essential for nutritional research and clinical applications.
    • Understanding the metabolic impact of artificial sweeteners like aspartame requires precise nutrient tracking.
    • Phenylalanine hydroxylase enzyme deficiency impacts phenylalanine metabolism, necessitating careful dietary management.

    Purpose of the Study:

    • To develop and validate a computational procedure for quantifying daily nutrient intake.
    • To assess the impact of aspartame consumption on blood phenylalanine levels in adult carriers of the phenylalanine hydroxylase enzyme.

    Main Methods:

    • A comprehensive database of 3,122 food items with detailed nutrient composition per 100g was compiled.
    • A diet diary system was implemented, recording food items, corresponding codes, and quantities consumed over 24-hour periods.

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  • A computer program was developed to calculate daily intake of calories, protein, phenylalanine, carbohydrate, and fat from the diet diaries.

    • Main Results:

    • The procedure successfully computed daily nutrient intake based on recorded food consumption.
    • Data from 43 adult carriers over 42 days provided a basis for analyzing aspartame's effect on phenylalanine levels.
    • The methodology allows for flexible analysis periods (1-30 days) and can be adapted for additional nutrients.

    Conclusions:

    • The developed procedure offers a robust method for detailed dietary intake analysis.
    • This computational approach is valuable for nutritional studies, particularly those investigating the effects of specific food components or additives.
    • Further research can utilize this method to explore the relationship between aspartame and phenylalanine metabolism in relevant populations.