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Related Experiment Videos

Agreement between dietary interviews

R L Karvetti, L R Knuts

    Journal of the American Dietetic Association
    |December 1, 1981
    PubMed
    Summary
    This summary is machine-generated.

    Dietary assessment methods for myocardial infarction patients yield different nutrient intake results. The dietary history method consistently reported higher intakes compared to recall methods one and two years post-infarction.

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    Area of Science:

    • Cardiology
    • Nutritional Science
    • Epidemiology

    Background:

    • Accurate nutrient intake assessment is crucial for managing patients post-myocardial infarction.
    • Dietary assessment methods can vary in their estimations of nutrient intake.
    • Understanding these variations is important for clinical practice and research.

    Purpose of the Study:

    • To compare nutrient intake estimations using different dietary assessment methods in male myocardial infarction patients.
    • To evaluate the consistency of these differences over time (one and two years post-infarction).

    Main Methods:

    • Nutrient intake was calculated for 86 male myocardial infarction patients.
    • Data were collected using interview methods, including dietary history and recall methods.

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  • Intraclass correlation coefficients were used to measure agreement between methods.
  • Main Results:

    • The dietary history method consistently showed higher mean daily nutrient intakes than recall methods.
    • Differences in mean intakes between recall methods were generally small.
    • The intraclass correlation coefficient ranged from 0.42 to 0.69, indicating moderate agreement.
    • The pattern of mean differences between methods remained consistent one and two years after infarction.

    Conclusions:

    • Dietary assessment method choice significantly impacts estimated nutrient intake in myocardial infarction patients.
    • Dietary history may overestimate nutrient intake compared to recall methods.
    • Consistent discrepancies suggest a systematic bias rather than random error.