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Related Experiment Videos

The glycemic index: variation between subjects and predictive difference.

T M Wolever1, A Csima, D J Jenkins

  • 1Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Ontario, Canada.

Journal of the American College of Nutrition
|June 1, 1989
PubMed
Summary
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Glycemic Index (GI) values for the same food show minimal variation between individuals. A GI difference of 34-50 units reliably predicts meal glycemic response ranking for individuals with diabetes.

Area of Science:

  • Nutrition Science
  • Metabolic Disorders
  • Diabetes Research

Background:

  • Understanding glycemic index (GI) variability is crucial for diabetes management.
  • Distinguishing between within- and between-individual GI variation is unclear.
  • The clinical significance of GI differences between meals for diabetics requires investigation.

Purpose of the Study:

  • To determine if GI variability stems from within- or between-individual differences.
  • To establish the clinically important difference in GI for individuals with diabetes.
  • To assess the reliability of GI values in predicting glycemic responses.

Main Methods:

  • Insulin-dependent (IDDM) and non-insulin-dependent (NIDDM) diabetic subjects consumed four foods on two separate occasions.

Related Experiment Videos

  • Absolute glycemic responses and GI values were analyzed for variation.
  • Published data from eight studies were used to assess the predictive difference of GI values.

    • Main Results:

    • Most absolute glycemic response variation was between subjects, but GI variation was primarily within individuals.
    • GI values for the same food did not significantly differ between subjects.
    • A GI difference of 34 (NIDDM) or 50 (IDDM) predicts meal glycemic response ranking with 95% probability.

    Conclusions:

    • Glycemic index values for a specific food are consistent across individuals.
    • GI is a reliable indicator for ranking glycemic responses of different meals in diabetic individuals.
    • Established predictive differences aid in clinical decision-making for meal planning in diabetes.