Literature DB >> 12949357

Physiological validation of the concept of glycemic load in lean young adults.

J C Brand-Miller1, M Thomas, V Swan, Z I Ahmad, P Petocz, S Colagiuri.   

Abstract

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.

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Year:  2003        PMID: 12949357     DOI: 10.1093/jn/133.9.2728

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  43 in total

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2.  Prepregnancy adherence to dietary patterns and lower risk of gestational diabetes mellitus.

Authors:  Deirdre K Tobias; Cuilin Zhang; Jorge Chavarro; Katherine Bowers; Janet Rich-Edwards; Bernard Rosner; Dariush Mozaffarian; Frank B Hu
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3.  Postprandial lipid responses to standard carbohydrates used to determine glycaemic index values.

Authors:  Sonia Vega-López; Lynne M Ausman; Nirupa R Matthan; Alice H Lichtenstein
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Review 4.  Glycaemic index, glycaemic load and exercise performance.

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5.  Dietary glycemic index, dietary glycemic load, and incidence of heart failure events: a prospective study of middle-aged and elderly women.

Authors:  Emily B Levitan; Murray A Mittleman; Alicja Wolk
Journal:  J Am Coll Nutr       Date:  2010-02       Impact factor: 3.169

6.  Effects of dietary composition on energy expenditure during weight-loss maintenance.

Authors:  Cara B Ebbeling; Janis F Swain; Henry A Feldman; William W Wong; David L Hachey; Erica Garcia-Lago; David S Ludwig
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7.  Effects of a eucaloric reduced-carbohydrate diet on body composition and fat distribution in women with PCOS.

Authors:  Amy M Goss; Paula C Chandler-Laney; Fernando Ovalle; Laura Lee Goree; Ricardo Azziz; Renee A Desmond; G Wright Bates; Barbara A Gower
Journal:  Metabolism       Date:  2014-07-18       Impact factor: 8.694

8.  Dietary glycaemic index, dietary glycaemic load and incidence of myocardial infarction in women.

Authors:  Emily B Levitan; Murray A Mittleman; Alicja Wolk
Journal:  Br J Nutr       Date:  2009-12-14       Impact factor: 3.718

9.  Effect of prior meal macronutrient composition on postprandial glycemic responses and glycemic index and glycemic load value determinations.

Authors:  Huicui Meng; Nirupa R Matthan; Lynne M Ausman; Alice H Lichtenstein
Journal:  Am J Clin Nutr       Date:  2017-09-13       Impact factor: 7.045

10.  Can the Glycemic Index (GI) be used as a tool in the prevention and management of Type 2 diabetes?

Authors:  Marie-Louise F Hermansen; Nina M B Eriksen; Lene S Mortensen; Lotte Holm; Kjeld Hermansen
Journal:  Rev Diabet Stud       Date:  2006-08-10
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