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Comparison of nutrient calculation systems.

D R Jacobs, P J Elmer, D Gorder

    American Journal of Epidemiology
    |April 1, 1985
    PubMed
    Summary
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    Nutrient calculation systems show significant differences in dietary intake data, impacting studies on cardiovascular risk factors. Researchers must consider these biases when analyzing results and developing treatment plans.

    Area of Science:

    • Nutrition Science
    • Dietary Assessment
    • Cardiovascular Health

    Background:

    • Dietary recalls are crucial for assessing nutrient intake and cardiovascular risk factors.
    • Computerized nutrient calculation systems are widely used but may introduce variability.
    • Understanding system-specific biases is essential for accurate dietary data interpretation.

    Purpose of the Study:

    • To evaluate the differences in nutrient intake calculations among three distinct computerized systems.
    • To assess the impact of system variability on the analysis of dietary fat, carbohydrate, and alcohol intake.
    • To highlight the importance of considering nutrient calculation system bias in research and clinical settings.

    Main Methods:

    • Utilized 54 24-hour dietary recalls from males (35-57 years) in a 1975-1976 cardiovascular intervention program.

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  • Submitted dietary data to three computerized nutrient calculation systems of varying sophistication.
  • Analyzed group and individual recall data for nutrient intake differences across systems.
  • Main Results:

    • One system reported 1.4% more calories from polyunsaturated fat compared to the other two.
    • Significant group differences were observed for carbohydrate and alcohol intake calculations.
    • While mean differences were modest, substantial variations were found in individual dietary recalls.

    Conclusions:

    • Nutrient calculation system choice introduces bias in individual and group dietary intake data.
    • These biases can significantly affect the interpretation of research findings and clinical treatment plans.
    • Standardization recommendations include detailed system descriptions, inter-system menu exchange, and quality control.