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Nutritional correlates of dietary glycaemic index: new aspects from a population perspective

Published online by Cambridge University Press:  08 March 2007

Mandy Schulz ,
Angela D. Liese ,
Elizabeth J. Mayer-Davis ,
Ralph B. D'Agostino Jr ,
Fang Fang ,
Karen C. Sparks  and
Thomas M. Wolever
Mandy Schulz
Affiliation:
Department of Epidemiology, German Institute of Human Nutrition, Potsdam-Rehbruecke, 14558 Nuthetral, Germany Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, 800 Sumter Street, Columbia, SC 29208, USA
Angela D. Liese*
Affiliation:
Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, 800 Sumter Street, Columbia, SC 29208, USA
Elizabeth J. Mayer-Davis
Affiliation:
Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, 800 Sumter Street, Columbia, SC 29208, USA Center for Research in Nutrition and Health Disparities, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
Ralph B. D'Agostino Jr
Affiliation:
Department of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
Fang Fang
Affiliation:
Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, 800 Sumter Street, Columbia, SC 29208, USA
Karen C. Sparks
Affiliation:
Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, 800 Sumter Street, Columbia, SC 29208, USA
Thomas M. Wolever
Affiliation:
Department of Nutritional Sciences, University of Toronto, Toronto, MSS 3E2, Canada
*
*Corresponding author: Dr Angela D. Liese, fax +1 (803) 777 2524, email [email protected]
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Abstract

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The role of dietary glycaemic index (GI) and glycaemic load (GL) in disease aetiology is of increasing interest. However, nutritional factors related to dietary GI and GL are not well understood from a population perspective. We aimed to investigate the relation ship between GI and GL and dietary intake at the food and nutrient level. Study subjects were 1071 non-diabetic adults from the Insulin Resistance Atherosclerosis Study, Exam I, 1992–4. Usual dietary intake was assessed with a 114-item modified Block food frequency questionnaire. Published GI values were assigned to food line items. Correlation and regression analyses were conducted. Intake of white bread, beer, meats and fries/fried potatoes was positively associated with average GI, as was fat, starch and alcohol intake (before and after energy adjustment). Intake of fruits and low-fat milk was inversely associated with GI, as were intakes of mono- and disaccharides, and fibre. GL was positively correlated with carbohydrate foods and inversely with non-carbohydrate foods. Gender-specific regression models identified eight food groups explaining 63 % (men) and 55 % (women) total GI variation after adjusting for demographics; 70 % of variation in GL was explained by eleven (men) and nine (women) food groups, respectively. Although the GI of a food is an indicator of the ability of carbohydrates to raise blood glucose, dietary GI, unlike GL, appears to reflect more dimensions of diet than just carbohydrates, such as the combination of foods consumed. This may have implications for the interpretation of dietary GI in epidemiologic studies.

Keywords

IRASGlycaemic indexGlycaemic loadDietFood groupsNutrients
Type
Research Article
Information
British Journal of Nutrition , Volume 94 , Issue 3 , September 2005 , pp. 397 - 406
Copyright
Copyright © The Nutrition Society 2005

References

Augustin, LS, Franceschi, S, Jenkins, DJ, Kendall, CW, La Vecchia, C (2002) Glycemic index in chronic disease: a review. Eur J Clin Nutr 56, 1049–1071.Google Scholar
Bell, RA, Mayer-Davis, EJ, Martin, MA, D'Agostino, RB & Haffner, SM (2000) Associations between alcohol consumption and insulin sensitivity and cardiovascular disease risk factors: the Insulin Resistance and Atherosclerosis Study. Diabetes Care 23, 1630–1636.Google Scholar
Block, G, Hartman, A, Dresser, C, Carroll, MD, Gannon, J & Gardner, L (1986) A data-based approach to diet questionnaire design and testing. Am J Epidemiol 124, 453–469.Google Scholar
Buyken, AE, Toeller, M, Heitkamp, G, Karamonos, B, Rottiers, R, Muggeo, M & Fuller, JH (2001) Glycemic index in the diet of European outpatients with type 1 diabetes: relations to glycated hemoglobin and serum lipids. Am J Clin Nutr 73, 574–581.CrossRefGoogle ScholarPubMed
Chew, I, Brand, JC, Thorburn, AW & Truswell, AS (1988) Application of glycemic index to mixed meals. Am J Clin Nutr 47, 53–56.Google Scholar
Crapo, PA, Insel, J, Sperling, M & Kollerman, DG (1981) Comparison of serum glucose, insulin, and glucagon responses to different types of complex carbohydrate in noninsulin-dependent diabetic patients. Am J Clin Nutr 34, 184–190.Google Scholar
Englyst, HN & Cummings, JH (1986) Digestion of the carbohydrates of banana ( Musa paradisiaca sapientum ) in the human small intestine. Am J Clin Nutr 44, 42–50.Google Scholar
Ercan, N, Gannon, MC & Nuttall, FQ (1994) Effect of added fat on the plasma glucose and insulin response to ingested potato given in various combinations as two meals in normal individuals. Diabetes Care 17, 1453–1459.CrossRefGoogle ScholarPubMed
Flint, A, Moller, BK, Raben, A, Pedersen, D, Tetens, I, Holst, JJ & Astrup, A (2004) The use of glycaemic index tables to predict glycaemic index of composite breakfast meals. Br J Nutr 91, 979–989.Google Scholar
Foster-Powell, K, Holt, SH, Brand-Miller, JC (2002) International table of glycemic index and glycemic load values: 2002. Am J Clin Nutr 76, 5–56.Google Scholar
Frost, GS, Brynes, AE, Bovill-Taylor, C & Dornhorst, A (2004) A prospective randomised trial to determine the efficacy of a low glycaemic index diet given in addition to healthy eating and weight loss advice in patients with coronary heart disease. Eur J Clin Nutr 58, 121–127.CrossRefGoogle ScholarPubMed
Heilbronn, LK, Noakes, M & Clifton, PM (2002) The effect of high- and low-glycemic index energy restricted diets on plasma lipid and glucose profiles in type 2 diabetic subjects with varying glycemic control. J Am Coll Nutr 21, 120–127.Google Scholar
Higginbotham, S, Zhang, ZF, Lee, IM, Cook, NR, Buring, JE & Liu, S (2004) Dietary glycemic load and breast cancer risk in the Women's Health Study. Cancer Epidemiol Biomarkers Prev 13, 65–70.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, 100–107.Google Scholar
Jenkins, DJ, Wolever, TM, Collier, GR, Ocana, A, Rao, AV, Buckley, G, Lam, Y, Mayer, A & Thompson, LU (1987) Metabolic effects of a low-glycemic-index diet. Am J Clin Nutr 46, 968–975.Google Scholar
Jenkins, DJ, Wolever, TM, Jenkins, AL, Thorne, MS, Lee, R, Kalmusky, J, Reicherst, R & Wong, GS (1983) The glycaemic index of foods tested in diabetic patients: a new basis for carbohydrate exchange favouring the use of legumes. Diabetologia 24, 257–264.CrossRefGoogle ScholarPubMed
Jenkins, DJ, Wolever, TM, Taylor, RH, Barker, H, Fielden, H, Baldwin, JM, Bowling, AC, Newman, HC, Jenkins, AL & Goff, DV (1981) Glycemic index of foods: a physiological basis for carbohydrate exchange. Am J Clin Nutr 34, 362–366.Google Scholar
Jonas, CR, McCullough, ML, Teras, LR, Nalker-Thurmond, A, Thun, MJ & Calle, EE (2003) Dietary glycemic index, glycemic load, and risk of incident breast cancer in postmenopausal women. Cancer Epidemiol Biomarkers Prev 12, 573–577.Google ScholarPubMed
Kiens, B & Richter, EA (1996) Types of carbohydrate in an ordinary diet affect insulin action and muscle substrates in humans. Am J Clin Nutr 63, 47–53.Google Scholar
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, 387–394.Google Scholar
Liese, AD, Fang, F & Schulz, M (2004a) No association of glycemic index with insulin sensitivity and adiposity in IRAS. Diabetes 53, Suppl. 2, A589.Google Scholar
Liese, AD, Roach, AK, Sparks, KC, Marquart, L, D'Agostino, RB & Mayer-Davis, EJ (2003) Whole-grain intake and insulin sensitivity: the Insulin Resistance Atherosclerosis Study. Am J Clin Nutr 78, 965–971.CrossRefGoogle ScholarPubMed
Liese, AD, Schulz, M, Moore, CG & Mayer-Davis, EJ (2004b) Dietary patterns, insulin sensitivity, and adiposity in the multi-ethnic Insulin Resistance Atherosclerosis Study population. Br J Nutr 92, 973–984.Google Scholar
Ludwig, DS (2002) The glycemic index: physiological mechanisms relating to obesity, diabetes, and cardiovascular disease. JAMA 287, 2414–2423.Google Scholar
Mayer-Davis, EJ, Costacou, T, King, I, Zaccaro, DJ & Bell, RA (2002) Plasma and dietary vitamin E in relation to incidence of type 2 diabetes: the Insulin Resistance and Atherosclerosis Study (IRAS). Diabetes Care 25, 2172–2177.Google Scholar
Mayer-Davis, EJ, Monaco, JH, Hoen, HM, Carmichael, S, Virolins, MZ, Rewers, MJ, Haffner, SM, Ayed, MF, Bergman, GN & Karter, AJ (1997a) Dietary fat and insulin sensitivity in a triethnic population: the role of obesity. The Insulin Resistance Atherosclerosis Study (IRAS). Am J Clin Nutr 65, 79–87.Google Scholar
Mayer-Davis, EJ, Monaco, JH, Marshall, JA, Rushing, J & Juhaeri, A (1997b) Vitamin C intake and cardiovascular disease risk factors in persons with non-insulin-dependent diabetes mellitus. From the Insulin Resistance Atherosclerosis Study and the San Luis Valley Diabetes Study. Prev Med 26, 277–283.CrossRefGoogle ScholarPubMed
Mayer-Davis, EJ, Vitolins, MZ, Carmichael, SL, Hemphill, S, Tsaroucha, E, Rushing, J & Levin, S (1999) Validity and reproducibility of a food frequency interview in a Multi-Cultural Epidemiology Study. Ann Epidemiol 9, 314–324.CrossRefGoogle Scholar
Meyer, KA, Kushi, LH, Jacobs, DR, Slavin, J, Sellers, TA, Folsom, AR & Jacobs, DRJ (2000) Carbohydrates, dietary fiber, and incident type 2 diabetes in older women. Am J Clin Nutr 71, 921–930.Google Scholar
Michaud, DS, Liu, S, Giovannucci, E, Willelt, WC, Coldite, GA & Fuchs, CS (2002) Dietary sugar, glycemic load, and pancreatic cancer risk in a prospective study. J Natl Cancer Inst 94, 1293–1300.Google Scholar
O'Dea, K, Nestel, PJ & Antonoff, L (1980) Physical factors influencing postprandial glucose and insulin responses to starch. Am J Clin Nutr 33, 760–765.Google Scholar
Rizkalla, SW, Taghrid, L, Laromiguiere, M, Huet, D, Boillot, J, Rigoir, A, Elgrably, F & Slama, G (2004) Improved plasama glucose control, whole-body glucose utilization, and lipid profile on a low-glycemic index diet in type 2 diabetic men. Diabetes Care 27, 1866–1872.CrossRefGoogle Scholar
Salmerón, J, Ascherio, A, Rimm, EB, Colditz, GA, Spiegelman, D, Jenkins, DJ, Stampfer, MJ, Wing, AL & Willett, WC (1997a) Dietary fiber, glycemic load, and risk of NIDDM in men. Diabetes Care 20, 545–550.Google Scholar
Salmerón, J, Manson, JE, Stampfer, MJ, Colditz, GA, Wing, AL & Willett, WC (1997b) Dietary fiber, glycemic load, and risk of non-insulin-dependent diabetes mellitus in women. JAMA 277, 472–477.Google Scholar
Sanchez-Lugo, L, Mayer-Davis, EJ, Howard, G, Selby, JV, Ayad, MF, Rewers, M & Haffner, S (1997) Insulin sensitivity and intake of vitamins E and C in African American, Hispanic, and non-Hispanic white men and women: the Insulin Resistance and Atherosclerosis Study (IRAS). Am J Clin Nutr 66, 1224–1231.CrossRefGoogle Scholar
Schafer, G, Schenk, U, Ritzel, U, Ramadari, G & Leonhardt, I (2003) Comparison of the effects of dried peas with those of potatoes in mixed meals on postprandial glucose and insulin concentrations in patients with type 2 diabetes. Am J Clin Nutr 78, 99–103.Google Scholar
Scholl, TO, Chen, X, Khoo, CS & Lenders, C (2004) The dietary glycemic index during pregnancy: influence on infant birth weight, fetal growth, and biomarkers of carbohydrate metabolism. Am J Epidemiol 159, 467–474.Google Scholar
Schrezenmeir, J, Tato, F, Tato, S, Kustner, E, Krause, U, Hommel, G, Asp, NG, Kasper, H & Beyer, J (1989) Comparison of glycemic response and insulin requirements after mixed meals of equal carbohydrate content in healthy, type-1, and type-2 diabetic man. Klin Wochenschr 67, 985–994.Google Scholar
Schulze, MB, Liu, S, Rimm, EB, Manson, JE, Willett, WC & Hu, FB (2004) Glycemic index, glycemic load, and dietary fiber intake and incidence of type 2 diabetes in younger and middle-aged women. Am J Clin Nutr 80, 348–356.Google Scholar
Sloth, B, Krog-Mikkelsem, I, Flint, A, Tetens, I, Bjorck, I, Vinoy, S, Elarstahl, H, Astrup, A, Lang, V & Raben, A (2004) No difference in body weight decrease between a low-glycemic-index and a high-glycemic-index diet but reduced LDL cholesterol after 10-wk ad libitum intake of the low-glycemic index diet. Am J Clin Nutr 80, 337–347.Google Scholar
Stevens, J, Ahn, KJuhaeri Houston, D, Steffan, L & Couper, D (2002) Dietary fiber intake and glycemic index and incidence of diabetes in African-American and white adults: the ARIC study. Diabetes Care 25, 1715–1721.Google Scholar
Vaaler, S, Hanssen, KF & Aagenaes, O (1984) The effect of cooking upon the blood glucose response to ingested carrots and potatoes. Diabetes Care 7, 221–223.Google Scholar
Wagenknecht, LE, Mayer, EJ, Rewers, M et al. (1995) The Insulin Resistance Atherosclerosis Study (IRAS) objectives, design, and recruitment results. Ann Epidemiol 5, 464–472.Google Scholar
Willett, W, Manson, J & Liu, S (2002) Glycemic index, glycemic load, and risk of type 2 diabetes. Am J Clin Nutr 76, 274S–280S.Google Scholar
Willett, W & Stampfer, MJ (1986) Total energy intake: implications for epidemiologic analyses. Am J Epidemiol 124, 17–27.CrossRefGoogle ScholarPubMed
Wolever, TM & Bolognesi, C (1996) 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, 2807–2812.Google Scholar
Wolever, TM & Jenkins, DJ (1986) The use of the glycemic index in predicting the blood glucose response to mixed meals. Am J Clin Nutr 43, 167–172.Google Scholar
Wolever, TM, Jenkins, DJ, Vuksan, V, Josse, RG, Wong, GS & Jenkins, AL (1990) Glycemic index of foods in individual subjects. Diabetes Care 13, 126–132.Google Scholar
Wolever, TM, Jenkins, DJ, Vuksan, V, Josse, RG, Wong, GS & Jenkins, AL (1992) Beneficial effect of low-glycemic index diet in overweight NIDDM subjects. Diabetes Care 15, 562–564.Google Scholar
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 glycaemic index. Diabetes Care 8, 418–428.Google Scholar
Wolever, TM, Nguyen, PM, Chiasson, JL, Hunt, JA, Josse, RG, Palmason, C, Rodger, NW, Ross, SA, Ryan, EA & Tan, MH (1994) Determinants of diet glycemic index calculated retrospectively from diet records of 342 individuals with non-insulin-dependent diabetes mellitus. Am J Clin Nutr 59, 1265–1269.Google Scholar