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A comparative study of two microcomputer nutrient data bases with the USDA Nutrient Data Base for Standard Reference.

D C Nieman, C N Nieman

    Journal of the American Dietetic Association
    |July 1, 1987
    PubMed
    Summary
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    Nutrient databases, like the USDA NDB, can have data gaps. Dietitians must verify data sources and ensure accuracy for microcomputer nutrient analysis, especially when using supplemental information.

    Area of Science:

    • Nutritional Science
    • Food Composition Analysis
    • Dietary Data Management

    Background:

    • The United States Department of Agriculture National Nutrient Database (USDA NDB) is a primary resource for food composition data.
    • Microcomputer nutrient databases are increasingly used by dietitians for dietary analysis.
    • Potential discrepancies exist between different nutrient databases due to data sources and revisions.

    Purpose of the Study:

    • To directly compare nutrient data between the USDA NDB and microcomputer databases.
    • To identify and analyze differences in nutrient information, independent of coding or data versioning issues.
    • To assess the completeness of the USDA NDB and the necessity of supplemental data sources.

    Main Methods:

    • Direct comparison of nutrient data from the USDA NDB and microcomputer databases.

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  • Identification of instances where alternate data sources were used to supplement the USDA NDB.
  • Evaluation of the completeness of the USDA NDB for various nutrients.

    • Main Results:

    • Differences in nutrient data persist even when direct comparisons are made, excluding confounding factors.
    • Alternate data sources were utilized when the USDA NDB lacked specific nutrient information.
    • The USDA NDB was comprehensive for most nutrients, with notable exceptions like vitamin E and copper.

    Conclusions:

    • Gaps in nutrient data are likely to continue in the USDA NDB due to ongoing revisions and an expanding food supply.
    • Dietitians must be aware of the data sources used in microcomputer nutrient databases.
    • Professionals have a responsibility to validate reported results for reasonableness based on local needs and available data.