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1 From the Human Nutrition Unit, School of Molecular and Microbial Biosciences, University of Sydney, Australia.
2 Reprints not available. Address correspondence to JC Brand-Miller, Human Nutrition Unit, School of Molecular and Microbial Biosciences (G08), University of Sydney, NSW 2006, Australia. E-mail: j.brandmiller{at}biochem.usyd.edu.au.
| ABSTRACT |
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Key Words: Glycemic index carbohydrates diabetes glycemic load
| INTRODUCTION |
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In 1997 a committee of experts was brought together by the Food and Agriculture Organization (FAO) of the United Nations and the World Health Organization (WHO) to review the available research evidence regarding the importance of carbohydrates in human nutrition and health (2). The committee endorsed the use of the GI method for classifying carbohydrate-rich foods and recommended that the GI values of foods be used in conjunction with information about food composition to guide food choices. To promote good health, the committee advocated the consumption of a high-carbohydrate diet (
55% of energy from carbohydrate), with the bulk of carbohydrate-containing foods being rich in nonstarch polysaccharides with a low GI. In Australia, official dietary guidelines for healthy elderly people specifically recommend the consumption of low-GI cereal foods for good health (3), and a GI trademark certification program is in place to put GI values on food labels as a means of helping consumers to select low-GI foods (4). Commercial GI testing of foods for the food industry is currently conducted by many laboratories around the world, including our own. Many recent popular diet books contain extensive lists of the GI values of individual foods or advocate the consumption of low-GI, carbohydrate-rich foods for weight control and good health (5).
Reliable tables of GI compiled from the scientific literature are instrumental in improving the quality of research examining the relation between the dietary glycemic effect and health. The first edition of International Tables of Glycemic Index, published in this Journal in 1995 with 565 entries (6), has been cited as a reference in many scientific papers. In particular, these tables provided the basis for the GI to be used a dietary epidemiologic tool, allowing novel comparisons of the effects of different carbohydrates on disease risk, separate from the traditional classification of carbohydrates into starches and sugars. Several large-scale, observational studies from Harvard University (Cambridge, MA) indicate that the long-term consumption of a diet with a high glycemic load (GL; GI x dietary carbohydrate content) is a significant independent predictor of the risk of developing type 2 diabetes (7, 8) and cardiovascular disease (9). More recently, evidence has been accumulating that a low-GI diet might also protect against the development of obesity (10, 11), colon cancer (12), and breast cancer (13). The EURODIAB (Europe and Diabetes) study, involving >3000 subjects with type 1 diabetes in 31 clinics throughout Europe, showed that the GI rating of self-selected diets was independently related to blood concentrations of glycated hemoglobin in men and women (14) and to waist circumference in men (15). In addition, higher blood HDL-cholesterol concentrations were observed in patients consuming low-GI diets from the northern, eastern, and western European centers participating in the study (15). Indeed, several studies have shown that the dietary GI is a good predictor of HDL concentrations in the healthy population, whereas the amount and type of fat are not (1618). Thus, the GI has proven to be a more useful nutritional concept than is the chemical classification of carbohydrate (as simple or complex, as sugars or starches, or as available or unavailable), providing new insights into the relation between foods and health.
In parallel with these advances have been studies documenting the importance of postprandial glycemia per se for all-cause mortality and cardiovascular disease mortality in healthy populations (19). For example, in the Hoorn study there was a significant association between the 8-y risk of cardiovascular death and 2-h postload blood glucose concentrations in subjects with normal fasting glucose concentrations, even after adjustment for known risk factors (20). Multiple mechanisms are probably involved. Recurring, excessive postprandial glycemia could decrease blood HDL-cholesterol concentrations, increase triglyceridemia, and also be directly toxic by increasing protein glycation, generating oxidative stress, and causing transient hypercoagulation and impaired endothelial function (21, 22). If postprandial glycemia is indeed important, then dietary treatment for the prevention or management of chronic diseases must consider both the amount and type of carbohydrate consumed.
An issue that is still being debated, particularly within the United States, is whether the GI has practical applications for the clinical treatment of diabetes and cardiovascular disease. Three intervention studies in adults and children with type 1 diabetes showed that low-GI diets improve glycated hemoglobin concentrations (2325). In subjects with cardiovascular disease, low-GI diets were shown to be associated with improvements in insulin sensitivity and blood lipid concentrations (23, 26). In addition, evidence from both short-term and long-term studies in animals and humans indicates that low-GI foods may be useful for weight control. Laboratory studies examining the short-term satiating effects of foods have shown that low-GI foods are relatively more satiating than are their high-GI counterparts (10). Compared with low-GI meals, high-GI meals induce a greater rise and fall in blood glucose and a greater rise in blood insulin, leading to lower concentrations of the bodys 2 main fuels (blood glucose and fatty acids) in the immediate postabsorptive period. The reduced availability of metabolic fuels may act as a signal to stimulate eating (11). It is also important to emphasize that many low-GI foods are relatively less refined than are their high-GI counterparts and are more difficult to consume. The lower energy density and palatability of these foods are important determinants of their greater satiating capacity. In obese children, the ad libitum consumption of a low-GI diet has been associated with greater reductions in body mass indexes (27). However, some experts have raised concerns about the difficulties of putting advice about GI values into practice and of the potentially adverse effects on food choice and fat intake. For this reason, the American Diabetes Association does not recommend the use of GI values for dietary counseling. However, the European Association for the Study of Diabetes (28), the Canadian Diabetes Association (29), and the Dietitians Association of Australia (30) all recommend high-fiber, low-GI foods for individuals with diabetes as a means of improving postprandial glycemia and weight control.
| REVISED INTERNATIONAL TABLE OF GI VALUES |
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2 published values; therefore, the mean (± SEM) GIs were calculated and are listed underneath the data for the individual foods. Thus, the user can appreciate the variation for any one food and, if possible, use the GI value for the food found in their country. It is hoped that the table will reduce unnecessary repetition in the testing of individual foods and facilitate wider research and application of the GI. In some cases, the GI values for different varieties of the same type of food listed in the table indicate the glycemic-lowering effects of different ingredients and food processing methods (eg, porridges made from rolled grains of different thicknesses and breads with different proportions of whole grains). This information could assist food manufacturers to develop a greater range of low-GI processed foods.
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| WHY DO GI VALUES FOR THE SAME TYPES OF FOODS SOMETIMES VARY? |
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Another reason GI values for apparently similar foods vary is that different testing methods are used in different parts of the world. Differences in testing methods include the use of different types of blood samples (capillary or venous), different experimental time periods, and different portions of foods (50 g of total rather than of available carbohydrate). Recently, 7 experienced GI testing laboratories around the world participated in a study to determine the degree of variation in GI values when the same centrally distributed foods were tested according to the laboratories normal in-house testing procedures (31). The results showed that the 5 laboratories that used finger-prick capillary blood samples to measure changes in postprandial glycemia obtained similar GI values for the same foods and less intersubject variation. Although capillary and venous blood glucose values have been shown to be highly correlated, it appears that capillary blood samples may be preferable to venous blood samples for reliable GI testing. After the consumption of food, glucose concentrations change to a greater degree in capillary blood samples than in venous blood samples. Therefore, capillary blood may be a more relevant indicator of the physiologic consequences of high-GI foods.
Although it is clear that GI values are generally reproducible from place to place, there are some instances of wide variation for the same food. Rice, for example, shows a large range of GI values, but this variation is due to inherent botanical differences in rice from country to country rather than to methodologic differences. Differences in the amylose content could explain much of the variation in the GI values of rice (and other foods) because amylose is digested more slowly than is amylopectin starch (32). GI values for rice cannot be reliably predicted on the basis of the size of the grain (short or long grain) or the type of cooking method. Rice is obviously one type of food that needs to be tested brand by brand locally. Carrots are another example of a food with a wide variation in published GI values; the oldest study showed a GI of 92 ± 20 and the latest study a GI of 32 ± 5. However, the results of an examination of the SEs (20 compared with 5) and the number of subjects tested (5 compared with 8) suggest that the latest value for carrots is more reliable, although differences in nutrient content and preparation methods contributed somewhat to this variation.
An important reason GI values for similar foods sometimes vary between laboratories is because of the method used for determining the carbohydrate content of the test foods. GI testing requires that portions of both the reference foods and test foods contain the same amount of available carbohydrate, typically 50 or 25 g. The available or glycemic carbohydrate fraction in foods, which is available for absorption in the small intestine, is measured as the sum of starch and sugars and does not include resistant starch. Most researchers rely on food-composition tables or food manufacturers data, whereas others directly measure the starch and sugar contents of the foods.
This difference in the accuracy of measurements of the carbohydrate content might explain some of the variation in reported GI values for fruit and potatoes and other vegetables. Food labels may or may not include the dietary fiber content of the food in the total carbohydrate value, leading to confusion that can markedly affect GI values, especially those for high-fiber foods. Consequently, researchers should obtain accurate laboratory measurements of the available carbohydrate content of foods as an essential preliminary step in GI testing. The available carbohydrate portion of test and reference foods should not include resistant starch, but, in practice, this can be difficult to ensure because resistant starch is difficult to measure. There is also difficulty in determining the degree of availability of novel carbohydrates, such as sugar alcohols, which are incompletely absorbed at relatively high doses.
Measuring the rate at which carbohydrates in foods are digested in vitro has been suggested as a cheaper and less time-consuming method for predicting the GI values of foods (33). However, only a few foods have been subjected to both in vitro and in vivo testing, and it is not yet known whether the in vitro method is a reliable indication of the in vivo postprandial glycemic effects of all types of foods. It is possible that some factors that significantly affect glycemia in vivo, such as the rate of gastric emptying, will not change the rate of carbohydrate digestion in vitro. For example, high osmolality and high acidity or soluble fiber slow down the gastric emptying rate and reduce glycemia in vivo, but they may not alter the rate of carbohydrate digestion in vitro. It is difficult to mimic all of the human digestive processes in a test tube. In fact, research results from our laboratory have shown that GI values measured in vivo can be significantly different for the same foods measured in vitro. Until we know more about the validity of in vitro methods, it is not recommended that they be used in clinical or epidemiologic research applications or for food labeling purposes because of the potential for large over- or underestimates of true GI values.
| GUIDE TO THE USE OF THE REVISED TABLE |
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Some research laboratories continue to use white bread as the reference food for measuring GI values, whereas others use glucose (dextrose); therefore, 2 GI values are given for each food. The first value is the GI with glucose as the reference food (GI value for glucose = 100; GI value for white bread = 70), and the second value is the GI for the same food with white bread as the reference food (GI value for white bread = 100; GI value for glucose = 143). When bread was the reference food used in the original study, the GI value for the food was multiplied by 0.7 to obtain the GI value with glucose as the reference food. The table lists the reference food that was originally used to measure the GI value of each food.
The foods in the table are separated into the following food groups: bakery products, beverages, breads, breakfast cereals and related products, breakfast cereal bars, cereal grains, cookies, crackers, dairy products and alternatives, fruit and fruit products, infant formula and weaning foods, legumes and nuts, meal-replacement products, mixed meals and convenience foods, nutritional-support products, pasta and noodles, snack foods and confectionery, sports bars, soups, sugars and sugar alcohols, vegetables (including roots and tubers), and indigenous or traditional foods of different ethnic groups. Within each section, foods are arranged in alphabetical order by common name. This classification of the foods was made on a practical rather than a scientific basis. There are no GI values given for meat, poultry, fish, avocados, salad vegetables, cheese, or eggs because these foods contain little or no carbohydrate and it would be exceedingly difficult for people to consume a portion of the foods containing 50 g or even 25 g of available carbohydrate. Even in large amounts, these foods when eaten alone are not likely to induce a significant rise in blood glucose.
| GLYCEMIC LOAD |
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In the revised table, 3 columns of data not given in the 1995 table are included: GL values, a nominal serving size for each food (weight in g or volume in mL), and the carbohydrate content of each food (in g/serving). The GL values are included for most of the foods and were calculated by multiplying the amount of carbohydrate contained in a specified serving size of the food by the GI value of that food (with the use of glucose as the reference food), which was then divided by 100. The nominal serving sizes were chosen after consideration of typical serving sizes in different countries. The carbohydrate content was obtained from the reference paper or, when not available, from appropriate food-composition tables (3438). For indigenous foods, values were extrapolated from Western foods thought to be closest in composition when the nutrient content was not available.
The purpose of including GL values in the revised table was to allow comparisons of the likely glycemic effect of realistic portion sizes of different foods. The data should be used cautiously because they are not applicable to all situations. Portion sizes vary markedly from country to country and between people in the same country. Researchers and health professionals should therefore calculate their own GL data by using appropriate serving sizes and carbohydrate-composition data. In the interest of future editions of the table, we ask that reliable published and unpublished data be sent to us for consideration.
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R. Villegas, S. Liu, Y.-T. Gao, G. Yang, H. Li, W. Zheng, and X. O. Shu Prospective Study of Dietary Carbohydrates, Glycemic Index, Glycemic Load, and Incidence of Type 2 Diabetes Mellitus in Middle-aged Chinese Women Arch Intern Med, November 26, 2007; 167(21): 2310 - 2316. [Abstract] [Full Text] [PDF] |
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J. N Davis, K. E Alexander, E. E Ventura, L. A Kelly, C. J Lane, C. E Byrd-Williams, C. M Toledo-Corral, C. K Roberts, D. Spruijt-Metz, M. J Weigensberg, et al. Associations of dietary sugar and glycemic index with adiposity and insulin dynamics in overweight Latino youth Am. J. Clinical Nutrition, November 1, 2007; 86(5): 1331 - 1338. [Abstract] [Full Text] [PDF] |
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U. Nothlings, S. P Murphy, L. R Wilkens, B. E Henderson, and L. N Kolonel Dietary glycemic load, added sugars, and carbohydrates as risk factors for pancreatic cancer: the Multiethnic Cohort Study Am. J. Clinical Nutrition, November 1, 2007; 86(5): 1495 - 1501. [Abstract] [Full Text] [PDF] |
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J. Tan, J. J. Wang, V. Flood, S. Kaushik, A. Barclay, J. Brand-Miller, and P. Mitchell Carbohydrate nutrition, glycemic index, and the 10-y incidence of cataract Am. J. Clinical Nutrition, November 1, 2007; 86(5): 1502 - 1508. [Abstract] [Full Text] [PDF] |
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T. W.K. Ng, G. F. Watts, P. H. R. Barrett, K.-A. Rye, and D. C. Chan Effect of Weight Loss on LDL and HDL Kinetics in the Metabolic Syndrome: Associations with changes in plasma retinol-binding protein-4 and adiponectin levels Diabetes Care, November 1, 2007; 30(11): 2945 - 2950. [Abstract] [Full Text] [PDF] |
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A. W. Barclay, V. M. Flood, E. Rochtchina, P. Mitchell, and J. C. Brand-Miller Glycemic Index, Dietary Fiber, and Risk of Type 2 Diabetes in a Cohort of Older Australians Diabetes Care, November 1, 2007; 30(11): 2811 - 2813. [Full Text] [PDF] |
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J. M. W. Wong and D. J. A. Jenkins Carbohydrate Digestibility and Metabolic Effects J. Nutr., November 1, 2007; 137(11): 2539S - 2546S. [Abstract] [Full Text] [PDF] |
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A. E. Cust, N. Slimani, R. Kaaks, M. van Bakel, C. Biessy, P. Ferrari, M. Laville, A. Tjonneland, A. Olsen, K. Overvad, et al. Dietary Carbohydrates, Glycemic Index, Glycemic Load, and Endometrial Cancer Risk within the European Prospective Investigation into Cancer and Nutrition Cohort Am. J. Epidemiol., October 15, 2007; 166(8): 912 - 923. [Abstract] [Full Text] [PDF] |
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A. E Buyken, K. Trauner, A. L. Gunther, A. Kroke, and T. Remer Breakfast glycemic index affects subsequent daily energy intake in free-living healthy children Am. J. Clinical Nutrition, October 1, 2007; 86(4): 980 - 987. [Abstract] [Full Text] [PDF] |
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A. Mosdol, D. R Witte, G. Frost, M. G Marmot, and E. J Brunner Dietary glycemic index and glycemic load are associated with high-density-lipoprotein cholesterol at baseline but not with increased risk of diabetes in the Whitehall II study Am. J. Clinical Nutrition, October 1, 2007; 86(4): 988 - 994. [Abstract] [Full Text] [PDF] |
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S. Sieri, V. Pala, F. Brighenti, N. Pellegrini, P. Muti, A. Micheli, A. Evangelista, S. Grioni, P. Contiero, F. Berrino, et al. Dietary glycemic index, glycemic load, and the risk of breast cancer in an Italian prospective cohort study Am. J. Clinical Nutrition, October 1, 2007; 86(4): 1160 - 1166. [Abstract] [Full Text] [PDF] |
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C.-J. Chiu, R. C Milton, R. Klein, G. Gensler, and A. Taylor Dietary carbohydrate and the progression of age-related macular degeneration: a prospective study from the Age-Related Eye Disease Study Am. J. Clinical Nutrition, October 1, 2007; 86(4): 1210 - 1218. [Abstract] [Full Text] [PDF] |
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J. Brand-Miller Effects of glycemic load on weight loss in overweight adults Am. J. Clinical Nutrition, October 1, 2007; 86(4): 1249 - 1250. [Full Text] [PDF] |
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R. Sichieri, A. S Moura, V. Genelhu, F. Hu, and W. C Willett An 18-mo randomized trial of a low-glycemic-index diet and weight change in Brazilian women Am. J. Clinical Nutrition, September 1, 2007; 86(3): 707 - 713. [Abstract] [Full Text] [PDF] |
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S. E McCann, W. E McCann, C.-C. Hong, J. R Marshall, S. B Edge, M. Trevisan, P. Muti, and J. L Freudenheim Dietary patterns related to glycemic index and load and risk of premenopausal and postmenopausal breast cancer in the Western New York Exposure and Breast Cancer Study Am. J. Clinical Nutrition, August 1, 2007; 86(2): 465 - 471. [Abstract] [Full Text] [PDF] |
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J. W.J. Beulens, L. M. de Bruijne, R. P. Stolk, P. H.M. Peeters, M. L. Bots, D. E. Grobbee, and Y. T. van der Schouw High Dietary Glycemic Load and Glycemic Index Increase Risk of Cardiovascular Disease Among Middle-Aged Women: A Population-Based Follow-Up Study J. Am. Coll. Cardiol., July 3, 2007; 50(1): 14 - 21. [Abstract] [Full Text] [PDF] |
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R. N Smith, N. J Mann, A. Braue, H. Makelainen, and G. A. Varigos A low-glycemic-load diet improves symptoms in acne vulgaris patients: a randomized controlled trial Am. J. Clinical Nutrition, July 1, 2007; 86(1): 107 - 115. [Abstract] [Full Text] [PDF] |
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C.-J. Chiu, R. C Milton, G. Gensler, and A. Taylor Association between dietary glycemic index and age-related macular degeneration in nondiabetic participants in the Age-Related Eye Disease Study Am. J. Clinical Nutrition, July 1, 2007; 86(1): 180 - 188. [Abstract] [Full Text] [PDF] |
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E. B Levitan, M. A Mittleman, N. Hakansson, and A. Wolk Dietary glycemic index, dietary glycemic load, and cardiovascular disease in middle-aged and older Swedish men Am. J. Clinical Nutrition, June 1, 2007; 85(6): 1521 - 1526. [Abstract] [Full Text] [PDF] |
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J. C Brand-Miller, K. Fatima, C. Middlemiss, M. Bare, V. Liu, F. Atkinson, and P. Petocz Effect of alcoholic beverages on postprandial glycemia and insulinemia in lean, young, healthy adults Am. J. Clinical Nutrition, June 1, 2007; 85(6): 1545 - 1551. [Abstract] [Full Text] [PDF] |
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J. Montonen, R. Jarvinen, P. Knekt, M. Heliovaara, and A. Reunanen Consumption of Sweetened Beverages and Intakes of Fructose and Glucose Predict Type 2 Diabetes Occurrence J. Nutr., June 1, 2007; 137(6): 1447 - 1454. [Abstract] [Full Text] [PDF] |
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S. Vega-Lopez, L. M. Ausman, J. L. Griffith, and A. H. Lichtenstein Interindividual Variability and Intra-Individual Reproducibility of Glycemic Index Values for Commercial White Bread Diabetes Care, June 1, 2007; 30(6): 1412 - 1417. [Abstract] [Full Text] [PDF] |
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C. B. Ebbeling, M. M. Leidig, H. A. Feldman, M. M. Lovesky, and D. S. Ludwig Effects of a Low-Glycemic Load vs Low-Fat Diet in Obese Young Adults: A Randomized Trial JAMA, May 16, 2007; 297(19): 2092 - 2102. [Abstract] [Full Text] [PDF] |
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S. K. Das, C. H Gilhooly, J. K Golden, A. G Pittas, P. J Fuss, R. A Cheatham, S. Tyler, M. Tsay, M. A McCrory, A. H Lichtenstein, et al. Long-term effects of 2 energy-restricted diets differing in glycemic load on dietary adherence, body composition, and metabolism in CALERIE: a 1-y randomized controlled trial Am. J. Clinical Nutrition, April 1, 2007; 85(4): 1023 - 1030. [Abstract] [Full Text] [PDF] |
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A. Afaghi, H. O'Connor, and C. M. Chow High-glycemic-index carbohydrate meals shorten sleep onset Am. J. Clinical Nutrition, February 1, 2007; 85(2): 426 - 430. [Abstract] [Full Text] [PDF] |
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E. B Levitan, C. W Westgren, S. Liu, and A. Wolk Reproducibility and validity of dietary glycemic index, dietary glycemic load, and total carbohydrate intake in 141 Swedish men Am. J. Clinical Nutrition, February 1, 2007; 85(2): 548 - 553. [Abstract] [Full Text] [PDF] |
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S. C. Larsson, E. Giovannucci, and A. Wolk Dietary Carbohydrate, Glycemic Index, and Glycemic Load in Relation to Risk of Colorectal Cancer in Women Am. J. Epidemiol., February 1, 2007; 165(3): 256 - 261. [Abstract] [Full Text] [PDF] |
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A. D. Liese, T. Gilliard, M. Schulz, R. B. D'Agostino Jr, and T. M.S. Wolever Carbohydrate nutrition, glycaemic load, and plasma lipids: the Insulin Resistance Atherosclerosis Study Eur. Heart J., January 1, 2007; 28(1): 80 - 87. [Abstract] [Full Text] [PDF] |
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K. A Hatonen, M. E Simila, J. R Virtamo, J. G Eriksson, M.-L. Hannila, H. K Sinkko, J. E Sundvall, H. M Mykkanen, and L. M Valsta Methodologic considerations in the measurement of glycemic index: glycemic response to rye bread, oatmeal porridge, and mashed potato. Am. J. Clinical Nutrition, November 1, 2006; 84(5): 1055 - 1061. [Abstract] [Full Text] [PDF] |
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A. Flood, U. Peters, D. J. Jenkins, N. Chatterjee, A. F Subar, T. R Church, R. Bresalier, J. L Weissfeld, R. B Hayes, A. Schatzkin, et al. Carbohydrate, glycemic index, and glycemic load and colorectal adenomas in the Prostate, Lung, Colorectal, and Ovarian Screening Study. Am. J. Clinical Nutrition, November 1, 2006; 84(5): 1184 - 1192. [Abstract] [Full Text] [PDF] |
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M. A Pereira Weighing in on glycemic index and body weight. Am. J. Clinical Nutrition, October 1, 2006; 84(4): 677 - 679. [Full Text] [PDF] |
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R. G Moses, M. Luebcke, W. S Davis, K. J Coleman, L. C Tapsell, P. Petocz, and J. C Brand-Miller Effect of a low-glycemic-index diet during pregnancy on obstetric outcomes. Am. J. Clinical Nutrition, October 1, 2006; 84(4): 807 - 812. [Abstract] [Full Text] [PDF] |
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H. Hare-Bruun, A. Flint, and B. L Heitmann Glycemic index and glycemic load in relation to changes in body weight, body fat distribution, and body composition in adult Danes. Am. J. Clinical Nutrition, October 1, 2006; 84(4): 871 - 879. [Abstract] [Full Text] [PDF] |
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R. Baschetti, Y. Ma, B. C. Olendzki, A. R. Hafner, D. E. Chiriboga, W. Li, J. R. Hebert, Y. Li, K. Leung, and I. S. Ockene Carbohydrate intake, serum lipids, and evolution. J. Am. Coll. Nutr., October 1, 2006; 25(5): 437 - 438. [Full Text] [PDF] |
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C. Lau, U. Toft, I. Tetens, B. Richelsen, T. Jorgensen, K. Borch-Johnsen, and C. Glumer Association between dietary glycemic index, glycemic load, and body mass index in the Inter99 study: is underreporting a problem? Am. J. Clinical Nutrition, September 1, 2006; 84(3): 641 - 645. [Abstract] [Full Text] [PDF] |
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D. Giugliano, A. Ceriello, and K. Esposito The Effects of Diet on Inflammation: Emphasis on the Metabolic Syndrome J. Am. Coll. Cardiol., August 15, 2006; 48(4): 677 - 685. [Abstract] [Full Text] [PDF] |
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V. S Malik, M. B Schulze, and F. B Hu Intake of sugar-sweetened beverages and weight gain: a systematic review. Am. J. Clinical Nutrition, August 1, 2006; 84(2): 274 - 288. [Abstract] [Full Text] [PDF] |
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E. J Stevenson, C. Williams, L. E Mash, B. Phillips, and M. L Nute Influence of high-carbohydrate mixed meals with different glycemic indexes on substrate utilization during subsequent exercise in women. Am. J. Clinical Nutrition, August 1, 2006; 84(2): 354 - 360. [Abstract] [Full Text] [PDF] |
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M. C. Casiraghi, M. Garsetti, G. Testolin, and F. Brighenti Post-Prandial Responses to Cereal Products Enriched with Barley {beta}-Glucan. J. Am. Coll. Nutr., August 1, 2006; 25(4): 313 - 320. [Abstract] [Full Text] [PDF] |
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J. McMillan-Price, P. Petocz, F. Atkinson, K. O'Neill, S. Samman, K. Steinbeck, I. Caterson, and J. Brand-Miller Comparison of 4 diets of varying glycemic load on weight loss and cardiovascular risk reduction in overweight and obese young adults: a randomized controlled trial. Arch Intern Med, July 24, 2006; 166(14): 1466 - 1475. [Abstract] [Full Text] [PDF] |
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Y. Hu, G. Block, E. P Norkus, J. D Morrow, M. Dietrich, and M. Hudes Relations of glycemic index and glycemic load with plasma oxidative stress markers Am. J. Clinical Nutrition, July 1, 2006; 84(1): 70 - 76. [Abstract] [Full Text] [PDF] |
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S. Valtuena, N. Pellegrini, D. Ardigo, D. Del Rio, F. Numeroso, F. Scazzina, L. Monti, I. Zavaroni, and F. Brighenti Dietary glycemic index and liver steatosis Am. J. Clinical Nutrition, July 1, 2006; 84(1): 136 - 142. [Abstract] [Full Text] [PDF] |
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A. E. Buyken, Y. Kellerhoff, S. Hahn, A. Kroke, and T. Remer Urinary C-Peptide Excretion in Free-Living Healthy Children Is Related to Dietary Carbohydrate Intake but Not to the Dietary Glycemic Index J. Nutr., July 1, 2006; 136(7): 1828 - 1833. [Abstract] [Full Text] [PDF] |
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T. M. Wolever, M. Yang, X. Y. Zeng, F. Atkinson, and J. C Brand-Miller Food glycemic index, as given in Glycemic Index tables, is a significant determinant of glycemic responses elicited by composite breakfast meals Am. J. Clinical Nutrition, June 1, 2006; 83(6): 1306 - 1312. [Abstract] [Full Text] [PDF] |
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