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

Published online by Cambridge University Press:  09 March 2007

Anne Flint*
Affiliation:
Department of Human Nutrition, Centre for Advanced Food Studies, The Royal Veterinary and Agricultural University, DK-1958 Frederiksberg C, Denmark
Bente K. Møller
Affiliation:
Department of Human Nutrition, Centre for Advanced Food Studies, The Royal Veterinary and Agricultural University, DK-1958 Frederiksberg C, Denmark
Anne Raben
Affiliation:
Department of Human Nutrition, Centre for Advanced Food Studies, The Royal Veterinary and Agricultural University, DK-1958 Frederiksberg C, Denmark
Dorthe Pedersen
Affiliation:
Department of Human Nutrition, Centre for Advanced Food Studies, The Royal Veterinary and Agricultural University, DK-1958 Frederiksberg C, Denmark
Inge Tetens
Affiliation:
Department of Human Nutrition, Centre for Advanced Food Studies, The Royal Veterinary and Agricultural University, DK-1958 Frederiksberg C, Denmark
Jens J. Holst
Affiliation:
Department of Medical Physiology, the Panum Institute, University of Copenhagen, DK-2200 Copenhagen N, Denmark
Arne Astrup
Affiliation:
Department of Human Nutrition, Centre for Advanced Food Studies, The Royal Veterinary and Agricultural University, DK-1958 Frederiksberg C, Denmark
*
*Corresponding author: Associate Professor Flint, fax +45 35 28 24 83, email afl@kvl.dk
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Abstract

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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.

Type
Research Article
Copyright
Copyright © The Nutrition Society 2004

References

Albano, JDM, Ekins, JP, Maritz, G & Turner, RC (1972) A sensitive precise radioimmunoassay of serum insulin relying on charcoal separation of bound and free hormone moieties. Acta Endocrinol 70, 487509.Google ScholarPubMed
Augustin, LS, Franceschi, S, Jenkins, DJA, Kendall, CWC, La Vecchia, C (2002) Glycemic index in chronic disease: a review. Eur J Clin Nutr 56, 10491071.CrossRefGoogle ScholarPubMed
Bornet, FRJ, Billaux, MS & Messing, B (1997) Glycaemic index concept and metabolic diseases. Int J Biol Macromol 21, 207219.CrossRefGoogle ScholarPubMed
Bornet, FRJ, Costagliola, D, Rizkalla, SW, Blayo, A, Fontvieille, AM, Haardt, MJ, Letanoux, M, Tchobroutsky, G & Slama, G (1987) Insulinemic and glycemic indexes of six starch-rich foods taken alone and in a mixed meal by type 2 diabetics. Am J Clin Nutr 45, 588595.CrossRefGoogle Scholar
Brand, JC, Foster, KAF, Crossman, S & Truswell, AS (1990) The glycaemic and insulin indices of realistic meals and rye breads tested in healthy subjects. Diab Nutr Metab 3, 137142.Google Scholar
Brand, JC, Nicholson, PL, Thorburn, AW & Truswell, AS (1985) Food processing and the glycemic index. Am J Clin Nutr 42, 11921196.CrossRefGoogle ScholarPubMed
Chew, I, Brand, JC, Thorburn, AW & Truswell, AS (1988) Application of glycemic index to mixed meals. Am J Clin Nutr 47, 5356.CrossRefGoogle ScholarPubMed
Collier, G, McLean, A & O'Dea, K (1984) Effect of co-ingestion of fat on the metabolic responses to slowly and rapidly absorbed carbohydrates. Diabetologia 26, 5054.CrossRefGoogle ScholarPubMed
Collier, GR, Wolever, TMS, Wong, GS & Josse, RG (1986) Prediction of glycemic response to mixed meals in noninsulin-dependent diabetic subjects. Am J Clin Nutr 44, 349352.CrossRefGoogle ScholarPubMed
Cooke, AR (1975) Control of gastric emptying and motility. Gastroenterology 68, 804816.CrossRefGoogle ScholarPubMed
Coulston, AM, Hollenbeck, CB, Liu, GC, Williams, RA, Starich, GH, Mazzaferri, EL & Reaven, GM (1984 a) Effect of source of dietary carbohydrate on plasma glucose, insulin, and gastric inhibitory polypeptide responses to test meals in subjects with noninsulin-dependent diabetes mellitus. Am J Clin Nutr 40, 965970.CrossRefGoogle ScholarPubMed
Coulston, AM, Hollenbeck, CB & Reaven, GM (1984 b) Utility of studies measuring glucose and insulin responses to various carbohydrate-containing foods. Am J Clin Nutr 39, 163165.CrossRefGoogle ScholarPubMed
Coulston, AM, Hollenbeck, CB, Swislocki, ALM & Reaven, GM (1987) Effect of source of dietary carbohydrate on plasma glucose and insulin responses to mixed meals in subjects with NIDDM. Diabetes Care 10, 395400.CrossRefGoogle ScholarPubMed
Deeg, R, Kraemer, W & Ziegenhorr, J (1980) Kinetic determination of serum glucose by the hexokinase/glucose-6-phosphate dehydrogenase method. J Clin Chem Clin Biochem 18, 4952.Google ScholarPubMed
Elliot, RM, Morgan, LM, Tredger, JA, Deacon, S, Wright, J & Marks, V (1993) Glucagon-like peptide-1 (7–36) amide and glucose-dependent insulinotropic polypeptide secretion in response to nutrient ingestion in man: acute post-prandial and 24-h secretion patterns. J Endocrinol 138, 159166.CrossRefGoogle Scholar
Englyst, HN & Cummings, JH (1986) Digestion of the carbohydrates of the banana (Musa paradisiacal sapientum) in the human small intestine. Am J Clin Nutr 44, 4250.CrossRefGoogle Scholar
Englyst, HN, Kingman, SM & Cummings, JH (1992) Classification and measurement of nutritionally important starch fractions. Eur J Clin Nutr 46, Suppl. 2, S33S50.Google ScholarPubMed
Englyst, KN, Vinoy, S, Englyst, HN & Lang, V (2003) Glycaemic index of cereal products explained by their content of rapidly and slowly available glucose. Br J Nutr 89, 329339.CrossRefGoogle ScholarPubMed
Food and Agriculture Organization/World Health Organization (1998) The role of glycemic index in food choice. In Carbohydrates in Human Nutrition: Report of a Joint FAO/WHO Expert Consultation, Food and Nutrition Paper no. 66, pp. 2537. Rome: WHO.Google Scholar
Foster-Powell, K & Brand-Miller, J (1995) International tables of glycemic index. Am J Clin Nutr 62, 871S893S.CrossRefGoogle ScholarPubMed
Foster-Powell, K, Holt, SHA & Miller, JCB (2002) International table of glycemic index and glycemic load values: 2002. Am J Clin Nutr 76, 556.CrossRefGoogle ScholarPubMed
Herrmann, C, Göke, R, Richter, G, Fehmann, H-C, Arnold, R & Göke, B (1995) Glucagon-like peptide-1 and glucose-dependent insulin-releasing polypeptide plasma levels in response to nutrients. Digestion 56, 117126.CrossRefGoogle ScholarPubMed
Hollenbeck, CB & Coulston, AM (1991) The clinical utility of the glycemic index and its application to mixed meals. Can J Physiol Pharmacol 69, 100107.CrossRefGoogle ScholarPubMed
Hollenbeck, CB, Coulston, AM & Reaven, GM (1988) Comparison of plasma glucose and insulin responses to mixed meals of high-, intermediate-, and low-glycemic potential. Diabetes Care 11, 323329.CrossRefGoogle ScholarPubMed
Järvi, AE, Karlström, BE, Granfeldt, YE, Björk, IE, Asp, N-GL & Vessby, BOH (1999) Improved glycemic control and lipid profile and normalized fibrinolytic activity on a low-glycemic index diet in type 2 diabetic patients. Diabetes Care 22, 1018.CrossRefGoogle ScholarPubMed
Jenkins, DJ, Wesson, V, Wolever, TM, Jenkins, AL, Kalmusky, J, Guidici, S, Csima, A, Josse, RG & Wong, GS (1988) Wholemeal versus wholegrain breads: proportion of whole or cracked grain and the glycaemic response. BMJ 297, 958960.CrossRefGoogle ScholarPubMed
Laine, DC, Thomas, W, Levitt, MD & Bantle, JP (1987) Comparison of predictive capabilities of diabetic exchange lists and glycemic index of foods. Diabetes Care 10, 387394.CrossRefGoogle ScholarPubMed
Liljeberg, HGM, Åkerberg, AKE & Björk, IME (1999) Effect of the glycemic index and content of indigestible carbohydrates of cereal-based breakfast meals on glucose tolerance at lunch in healthy subjects. Am J Clin Nutr 69, 647655.CrossRefGoogle ScholarPubMed
Liu, S, Willet, WC, Stampfer, MJ, Hu, FB, Franz, M, Sampson, L, Hennekens, CH & Manson, JE (2000) A prospective study of dietary glycemic load, carbohydrate intake, and risk of coronary heart disease in US women. Am J Clin Nutr 71, 14551461.CrossRefGoogle ScholarPubMed
Ludwig, DS & Eckel, RH (2002) The glycemic index at 20y. Am J Clin Nutr 76, Suppl., 264S265S.CrossRefGoogle Scholar
Møller, A & Saxholt, E (1996) The Composition of Foods, 4th ed. Mørkhøj, Denmark: Levnedsmiddelstyrelsen (The National Food Agency).Google Scholar
Nuttall, FQ, Mooradian, AD, Gannon, MC, Billington, C & Krezowski, P (1984) Effect of protein ingestion on the glucose and insulin response to a standardized oral glucose load. Diabetes Care 7, 465470.CrossRefGoogle ScholarPubMed
O'Dea, K, Nesle, PJ & Antonoff, L (1980) Physical factors influencing post-prandial glucose and insulin responses to starch. Am J Clin Nutr 33, 760765.CrossRefGoogle Scholar
Östman, EM, Elmståhl, HGML & Björck, IME (2001) Inconsistency between glycemic and insulinemic responses to regular and fermented milk products. Am J Clin Nutr 74, 96100.CrossRefGoogle ScholarPubMed
Pawlak, DB, Ebbeling, CB & Ludwig, DS (2002) Should obese patients be counselled to follow a low-glycaemic index diet? Yes.. Obes Rev 3, 235243.CrossRefGoogle ScholarPubMed
Pi-Sunyer, FX (2002) Glycemic index and disease. Am J Clin Nutr 76, Suppl., 290S298S.CrossRefGoogle ScholarPubMed
Raben, A (2002) Should obese patients be counselled to follow a low-glycaemic index diet? No. Obes Rev 3, 245256.CrossRefGoogle ScholarPubMed
Salmeron, J, Ascherio, A, Rimm, EB, Colditz, GA, Spiegelman, D, Jenkins, DJ, Stampfer, MJ, Wing, AL & Willett, WC (1997 a) Dietary fiber, glycemic load, and risk of NIDDM in men. Diabetes Care 20, 545550.CrossRefGoogle ScholarPubMed
Salmeron, J, Manson, JE, Stampfer, MJ, Colditz, GA, Wing, AL & Willet, WC (1997 b) Dietary fiber, glycemic load, and risk of non-insulin-dependent diabetes mellitus in women. JAMA 277, 472477.CrossRefGoogle ScholarPubMed
Schenk, S, Davidson, CJ, Zderic, TW, Byerley, LO & Coyle, EF (2003) Different glycemic indexes of breakfast cereals are not due to glucose entry into blood but to glucose removal by tissue. Am J Clin Nutr 78, 742748.CrossRefGoogle Scholar
Truswell, AS (1992) Glycaemic index of foods. Eur J Clin Nutr 46, Suppl. 2, S91S101.Google ScholarPubMed
Willet, WC (2002) Carbohydrates for better and worse. In Eat, Drink and Be Healthy: The Harvard Medical School Guide to Healthy Eating, pp. 85100. New York: Simon & Schuster.Google Scholar
Wolever, TMS & Bolognesi, C (1996 a) Source and amount of carbohydrate affect postprandial glucose and insulin in normal subjects. J Nutr 126, 27982806.Google ScholarPubMed
Wolever, TMS & Bolognesi, C (1996 b) Prediction of glucose and insulin responses of normal subjects after consuming mixed meals varying in energy, protein, fat, carbohydrate and glycemic index. J Nutr 126, 28072812.Google ScholarPubMed
Wolever, TMS & Jenkins, DJA (1986) The use of the glycemic index in predicting the blood glucose response to mixed meals. Am J Clin Nutr 43, 167172.CrossRefGoogle ScholarPubMed
Wolever, TMS, Jenkins, DJ, Ocana, AM, Rao, VA & Collier, GR (1988 a) Second-meal effect: low-glycemic-index foods eaten at dinner improve subsequent breakfast glycemic response. Am J Clin Nutr 48, 10411047.CrossRefGoogle ScholarPubMed
Wolever, TMS, Jenkins, DJA, Collier, GR, Lee, R, Wong, GS & Josse, RG (1988 b) Metabolic response to test meals containing different carbohydrate foods: 1. Relationship between rate of digestion and plasma insulin response. Nutr Res 8, 573581.CrossRefGoogle Scholar
Wolever, TMS & Mehling, C (2002) High-carbohydrate-low-glycaemic index dietary advice improves glucose disposition index in subjects with impaired glucose tolerance. Br J Nutr 87, 477487.CrossRefGoogle ScholarPubMed
Wolever, TMS & Mehling, C (2003) Long-term effect of varying the source or amount of dietary carbohydrate on postprandial plasma glucose, insulin, triacylglycerol, and free fatty acid concentrations in subjects with impaired glucose tolerance. Am J Clin Nutr 77, 612621.CrossRefGoogle ScholarPubMed
Wolever, TMS, Nuttall, FQ, Lee, R, Wong, GS, Josse, RG, Csima, A & Jenkins, DJ (1985) Prediction of the relative blood glucose response of mixed meals using the white bread glycemic index. Diabetes Care 8, 418428.CrossRefGoogle ScholarPubMed
Wolever, TMS, Vorster, HH & Björck, I (2003) Determination of the glycemic index of foods: interlaboratory study. Eur J Clin Nutr 57, 475482.CrossRefGoogle ScholarPubMed