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Energy and nutrient values from different computerized data bases.

M L Taylor, B W Kozlowski, M T Baer

    Journal of the American Dietetic Association
    |September 1, 1985
    PubMed
    Summary
    This summary is machine-generated.

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    Nutrient analysis using different databases showed variations in results for many dietary components. Consistency was observed for energy and key minerals, but individual diet values varied significantly, highlighting the need to acknowledge data limitations.

    Area of Science:

    • Nutritional Science
    • Dietary Assessment
    • Bioinformatics

    Background:

    • Accurate dietary assessment is crucial for nutritional research and public health.
    • Computerized nutrient databases are widely used tools for analyzing dietary intake.
    • Variability in database outputs can impact research findings and dietary recommendations.

    Purpose of the Study:

    • To evaluate the consistency of nutrient values derived from multiple computerized databases.
    • To identify specific nutrients or dietary components that show significant discrepancies across databases.
    • To assess the impact of database choice on the interpretation of dietary intake data.

    Main Methods:

    • Analysis of 24 individual dietary records.
    • Comparison of nutrient values generated by three distinct computerized nutrient databases.

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  • Statistical evaluation of mean differences for 19 evaluated nutrient variables.

    • Main Results:

    • Significant differences in mean values were observed for 9 out of 19 evaluated nutrient variables.
    • No single database consistently provided the highest or lowest values across all nutrients.
    • Mean values for energy, energy-yielding nutrients, calcium, phosphorus, and magnesium showed greater consistency among databases.

    Conclusions:

    • Computerized nutrient databases yield variable results, necessitating careful consideration of database selection in dietary analysis.
    • Despite consistent mean values for certain nutrients, individual dietary records can show substantial discrepancies between databases.
    • Calculated energy and nutrient values should be treated as estimates, acknowledging the inherent limitations and strengths of the chosen database.