CJO - Abstract - The use of glycaemic index tables to predict glycaemic index of composite breakfast meals

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British Journal of Nutrition (2004), 91 : 979-989 Cambridge University Press
doi:10.1079/BJN20041124 (About doi)
Published online by Cambridge University Press 09 Mar 2007
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British Journal of Nutrition (2004), 91:979-989 Cambridge University Press
Copyright © The Nutrition Society 2004
doi:10.1079/BJN20041124

Research Article

The use of glycaemic index tables to predict glycaemic index of composite breakfast meals


Anne Flinta1 c1, Bente K. Møllera1, Anne Rabena1, Dorthe Pedersena1, Inge Tetensa1, Jens J. Holsta2 and Arne Astrupa1

a1 Department of Human Nutrition, Centre for Advanced Food Studies, The Royal Veterinary and Agricultural University, DK-1958 Frederiksberg C, Denmark
a2 Department of Medical Physiology, the Panum Institute, University of Copenhagen, DK-2200 Copenhagen N, Denmark
Article author query
flint a PubMed  Google Scholar
møller bk PubMed  Google Scholar
raben a PubMed  Google Scholar
pedersen d PubMed  Google Scholar
tetens i PubMed  Google Scholar
holst jj PubMed  Google Scholar
astrup a PubMed  Google Scholar

Abstract

The applicability of the glycaemic index (GI) in the context of mixed meals and diets is still debatable. The objective of the present study was to investigate the predictability of measured GI in composite breakfast meals when calculated from table values, and to develop prediction equations using meal components. Furthermore, we aimed to study the relationship between GI and insulinaemic index (II). The study was a randomised cross-over meal test including twenty-eight healthy young men. Thirteen breakfast meals and a reference meal were tested. All meals contained 50 g available carbohydrate, but differed considerably in energy and macronutrient composition. Venous blood was sampled for 2 h and analysed for glucose and insulin. Prediction equations were made by regression analysis. No association was found between predicted and measured GI. The meal content of energy and fat was inversely associated with GI (R2 0·93 and 0·88, respectively; P<0·001). Carbohydrate content (expressed as percentage of energy) was positively related to GI (R2 0·80; P<0·001). Using multivariate analysis the GI of meals was best predicted by fat and protein contents (R2 0·93; P<0·001). There was no association between GI and II. In conclusion, the present results show that the GI of mixed meals calculated by table values does not predict the measured GI and furthermore that carbohydrates do not play the most important role for GI in mixed breakfast meals. Our prediction models show that the GI of mixed meals is more strongly correlated either with fat and protein content, or with energy content, than with carbohydrate content alone. Furthermore, GI was not correlated with II.

(Received November 20 2003)

(Accepted February 04 2004)

Key Words:Glucose; Insulin; Macronutrients; Energy

Correspondence:

c1 *Corresponding author: Associate Professor Flint, fax +45 35 28 24 83, email afl@kvl.dk


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