Literature DB >> 19079901

Glycaemic index methodology.

F Brouns1, I Bjorck, K N Frayn, A L Gibbs, V Lang, G Slama, T M S Wolever.   

Abstract

The glycaemic index (GI) concept was originally introduced to classify different sources of carbohydrate (CHO)-rich foods, usually having an energy content of >80 % from CHO, to their effect on post-meal glycaemia. It was assumed to apply to foods that primarily deliver available CHO, causing hyperglycaemia. Low-GI foods were classified as being digested and absorbed slowly and high-GI foods as being rapidly digested and absorbed, resulting in different glycaemic responses. Low-GI foods were found to induce benefits on certain risk factors for CVD and diabetes. Accordingly it has been proposed that GI classification of foods and drinks could be useful to help consumers make 'healthy food choices' within specific food groups. Classification of foods according to their impact on blood glucose responses requires a standardised way of measuring such responses. The present review discusses the most relevant methodological considerations and highlights specific recommendations regarding number of subjects, sex, subject status, inclusion and exclusion criteria, pre-test conditions, CHO test dose, blood sampling procedures, sampling times, test randomisation and calculation of glycaemic response area under the curve. All together, these technical recommendations will help to implement or reinforce measurement of GI in laboratories and help to ensure quality of results. Since there is current international interest in alternative ways of expressing glycaemic responses to foods, some of these methods are discussed.

Entities:  

Year:  2005        PMID: 19079901     DOI: 10.1079/NRR2005100

Source DB:  PubMed          Journal:  Nutr Res Rev        ISSN: 0954-4224            Impact factor:   7.800


  177 in total

1.  In vitro and in vivo assessment of the glycemic index of bakery products: influence of the reformulation of ingredients.

Authors:  A Ferrer-Mairal; C Peñalva-Lapuente; I Iglesia; L Urtasun; P De Miguel-Etayo; S Remón; E Cortés; L A Moreno
Journal:  Eur J Nutr       Date:  2011-11-10       Impact factor: 5.614

2.  Glycemic index and glycemic load of selected Chinese traditional foods.

Authors:  Ya-Jun Chen; Feng-Hua Sun; Stephen Heung-Sang Wong; Ya-Jun Huang
Journal:  World J Gastroenterol       Date:  2010-03-28       Impact factor: 5.742

3.  Impact of preloading either dairy or soy milk on postprandial glycemia, insulinemia and gastric emptying in healthy adults.

Authors:  Lijuan Sun; Kevin Wei Jie Tan; Cathy Mok Sook Han; Melvin Khee-Shing Leow; Christiani Jeyakumar Henry
Journal:  Eur J Nutr       Date:  2015-10-06       Impact factor: 5.614

4.  Effects of dietary glycemic index on brain regions related to reward and craving in men.

Authors:  Belinda S Lennerz; David C Alsop; Laura M Holsen; Emily Stern; Rafael Rojas; Cara B Ebbeling; Jill M Goldstein; David S Ludwig
Journal:  Am J Clin Nutr       Date:  2013-06-26       Impact factor: 7.045

5.  Effects of coconut oil consumption on energy metabolism, cardiometabolic risk markers, and appetitive responses in women with excess body fat.

Authors:  Flávia Xavier Valente; Flávia Galvão Cândido; Lílian Lelis Lopes; Desirrê Morais Dias; Samantha Dalbosco Lins Carvalho; Patrícia Feliciano Pereira; Josefina Bressan
Journal:  Eur J Nutr       Date:  2017-04-12       Impact factor: 5.614

6.  Methodological challenges in the application of the glycemic index in epidemiological studies using data from the European Prospective Investigation into Cancer and Nutrition.

Authors:  Marit M E van Bakel; Nadia Slimani; Edith J M Feskens; Huaidong Du; Joline W J Beulens; Yvonne T van der Schouw; Furio Brighenti; Jytte Halkjaer; Anne E Cust; Pietro Ferrari; Jennie Brand-Miller; H Bas Bueno-de-Mesquita; Petra Peeters; Eva Ardanaz; Miren Dorronsoro; Francesca L Crowe; Sheila Bingham; Sabine Rohrmann; Heiner Boeing; Ingegerd Johansson; Jonas Manjer; Anne Tjonneland; Kim Overvad; Eiliv Lund; Guri Skeie; Amalia Mattiello; Simonetta Salvini; Françoise Clavel-Chapelon; Rudolf Kaaks
Journal:  J Nutr       Date:  2009-01-21       Impact factor: 4.798

7.  Mastication effects on the glycaemic index: impact on variability and practical implications.

Authors:  V Ranawana; M K-S Leow; C J K Henry
Journal:  Eur J Clin Nutr       Date:  2013-11-13       Impact factor: 4.016

8.  Effect of chicken, fat and vegetable on glycaemia and insulinaemia to a white rice-based meal in healthy adults.

Authors:  Lijuan Sun; Dinesh Viren Ranawana; Melvin Khee-Shing Leow; Christiani Jeyakumar Henry
Journal:  Eur J Nutr       Date:  2014-05-10       Impact factor: 5.614

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.  Short-term impact of sugar consumption on hunger and ad libitum food intake in young women.

Authors:  Fernanda Ro Penaforte; Camila C Japur; Letícia P Pigatto; Paula G Chiarello; Rosa W Diez-Garcia
Journal:  Nutr Res Pract       Date:  2013-04-01       Impact factor: 1.926

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