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* Human Nutrition Unit, School of Molecular and Microbial Biosciences, University of Sydney;
School of Mathematical Sciences, University of Technology; and
** Department of Endocrinology, Diabetes and Metabolism, Prince of Wales Hospital, Sydney, NSW, Australia
2To whom correspondence should be addressed. E-mail: j.brandmiller{at}staff.usyd.edu.au.
Dietary glycemic load, the mathematical product of the glycemic index (GI) of a food and its carbohydrate content, has been proposed as an indicator of the glucose response and insulin demand induced by a serving of food. To validate this concept in vivo, we tested the hypotheses that 1) portions of different foods with the same glycemic load produce similar glycemic responses; and 2) stepwise increases in glycemic load for a range of foods produce proportional increases in glycemia and insulinemia. In the first study, 10 healthy subjects consumed 10 different foods in random order in amounts calculated to have the same glycemic load as one slice of white bread. Capillary blood samples were taken at regular intervals over the next 2 h. The glycemic response as determined by area under the curve was not different from that of white bread for nine foods. However, lentils produced lower than predicted responses (P < 0.05). In the second study, another group of subjects was tested to determine the effects of increasing glycemic load using a balanced 5 x 5 Greco-Latin square design balanced for four variables: subject, dose, food and order. Two sets of five foods were consumed at five different glycemic loads (doses) equivalent to one, two, three, four and six slices of bread. Stepwise increases in glycemic load produced significant and predictable increases in both glycemia (P < 0.001) and insulinemia (P < 0.001). These findings support the concept of dietary glycemic load as a measure of overall glycemic response and insulin demand.
KEY WORDS: • glycemic index • glycemic load • diabetes • carbohydrate • insulin
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