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Related Experiment Videos

Determining life-stage groups and extrapolating nutrient intake values (NIVs).

Stephanie A Atkinson1, Berthold Koletzko

  • 1Department of Pediatrics, Faculty of Health Sciences, 3G57, McMaster University, Hamilton, Ontario L8N 3Z5, Canada. satkins@mcmaster.ca

Food and Nutrition Bulletin
|May 25, 2007
PubMed
Summary
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Deriving dietary reference values using extrapolation is inconsistent and often lacks scientific data. Future standards require direct data collection and consistent modeling for accurate nutrient intake values (NIVs).

Area of Science:

  • Nutrition Science
  • Dietary Reference Standards
  • Pediatric Nutrition

Background:

  • Current dietary reference standards rely on inconsistent extrapolation/interpolation methods.
  • Nutrient intake values (NIVs) for infants and children are often derived via extrapolation due to limited research.
  • Extrapolation is used for requirements, adequate intake, tolerable upper intake levels, and tissue deposition estimates.

Purpose of the Study:

  • To highlight the inconsistencies in current methods for deriving dietary reference values.
  • To recommend a standardized and scientifically sound approach for establishing nutrient intake values.
  • To improve harmonization of global dietary standards.

Main Methods:

  • Analysis of current methods for deriving dietary reference values, including extrapolation and interpolation.

Related Experiment Videos

  • Identification of common extrapolation techniques used for pediatric and adult populations.
  • Review of scientific data collection methodologies for future standard development.

    • Main Results:

    • Extrapolation methods are inconsistently applied across different dietary reference standards.
    • Weight, metabolic factors, and growth adjustments are common in extrapolating pediatric nutrient intake values.
    • Extrapolation is used for various nutritional parameters, including requirements and upper intake levels.

    Conclusions:

    • Prioritize obtaining direct scientific data using methods like stable isotope tracers and biomarkers for NIVs.
    • Extrapolation for NIVs should only be used in the absence of sound data and must follow a consistent model.
    • Recommend standardizing age groups biologically, applying international standards, and including appropriate adjustments for harmonization.