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A data-based approach to diet questionnaire design and testing.

G Block, A M Hartman, C M Dresser

    American Journal of Epidemiology
    |September 1, 1986
    PubMed
    Summary
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    A new diet history questionnaire was created using national survey data for accurate dietary assessment. This tool provides reliable nutrient intake information for research and clinical applications.

    Area of Science:

    • Nutrition Science
    • Epidemiology
    • Dietary Assessment

    Background:

    • Accurate dietary assessment is crucial for epidemiological studies and clinical nutrition.
    • Existing methods can be time-consuming or lack comprehensive nutrient data.
    • A validated, self-administered tool is needed for efficient dietary evaluation.

    Purpose of the Study:

    • To develop and validate a self-administered diet history questionnaire for epidemiologic and clinical use.
    • To create a food list and nutrient database representative of the adult population.
    • To ensure the questionnaire accurately reflects energy and nutrient intake.

    Main Methods:

    • Developed a food list and nutrient database using data from 11,658 adult respondents of the Second National Health and Nutrition Examination Survey (NHANES II).

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  • Selected food items based on their contribution (>90%) to population intake of energy and 17 key nutrients.
  • Determined nutrient composition values from the NHANES II database and portion sizes from observed distributions.

    • Main Results:

    • The developed questionnaire demonstrated strong correlations (r > 0.70) with a more detailed dietary assessment method.
    • Nutrient calculations using the questionnaire yielded results comparable to national data.
    • Field administration confirmed the reliability and practicality of the self-administered tool.

    Conclusions:

    • The self-administered diet history questionnaire is a valid and efficient tool for assessing dietary intake in research and clinical settings.
    • The questionnaire accurately estimates energy and nutrient consumption based on national dietary patterns.
    • This tool can facilitate large-scale nutritional epidemiology and personalized clinical nutrition assessments.