Literature DB >> 8914952

Prediction of glucose and insulin responses of normal subjects after consuming mixed meals varying in energy, protein, fat, carbohydrate and glycemic index.

T M Wolever1, C Bolognesi.   

Abstract

To see if both the amount and source of carbohydrate consumed determined postprandial glucose and insulin responses of mixed meals, eight nondiabetic subjects took five different mixed meals containing variable energy (1650-2550 kJ), fat (8-24 g), protein (12-25 g) carbohydrate (38-104 g) and glycemic index (43-99). Incremental glucose and insulin responses for the five meals varied over a 2.3-fold range. Amount of carbohydrate alone was not significantly related to the mean glucose and insulin responses. However, using previously derived equations, amount of carbohydrate and glycemic index explained approximately 90% of the variability of the observed mean glucose and insulin responses (P = 0.01). We conclude that both amount and source of carbohydrate determine the glucose and insulin responses of lean, young, nondiabetic subjects after different mixed meals with variable glycemic index. Variation in protein and fat intake, over the range tested here, appears to have a negligible effect on postprandial glucose and insulin.

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Year:  1996        PMID: 8914952     DOI: 10.1093/jn/126.11.2807

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


  28 in total

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

Authors:  Ya-Jun Chen; Feng-Hua Sun; Stephen Heung-Sang Wong; Ya-Jun Huang
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2.  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

3.  Development of a clinical type 1 diabetes metabolic system model and in silico simulation tool.

Authors:  Xing-Wei Wong; J Geoffrey Chase; Christopher E Hann; Thomas F Lotz; Jessica Lin; Aaron J Le; Geoffrey M Shaw
Journal:  J Diabetes Sci Technol       Date:  2008-05

4.  Urinary C-peptide excretion: a novel alternate measure of insulin sensitivity in physiological conditions.

Authors:  Jose E Galgani; Lilian de Jonge; Jennifer C Rood; Steven R Smith; Andrew A Young; Eric Ravussin
Journal:  Obesity (Silver Spring)       Date:  2010-04-01       Impact factor: 5.002

5.  Physiology-Invariant Meal Detection for Type 1 Diabetes.

Authors:  James Weimer; Sanjian Chen; Amy Peleckis; Michael R Rickels; Insup Lee
Journal:  Diabetes Technol Ther       Date:  2016-10-05       Impact factor: 6.118

Review 6.  Dietary hyperglycemia, glycemic index and metabolic retinal diseases.

Authors:  Chung-Jung Chiu; Allen Taylor
Journal:  Prog Retin Eye Res       Date:  2010-09-22       Impact factor: 21.198

7.  Association of glycemic load with cardiovascular disease risk factors: the Women's Health Initiative Observational Study.

Authors:  James M Shikany; Lesley F Tinker; Marian L Neuhouser; Yunsheng Ma; Ruth E Patterson; Lawrence S Phillips; Simin Liu; David T Redden
Journal:  Nutrition       Date:  2010-01-06       Impact factor: 4.008

8.  Effects of different proportion of carbohydrate in breakfast on postprandial glucose excursion in normal glucose tolerance and impaired glucose regulation subjects.

Authors:  Xin Kang; Chun Wang; Lv Lifang; Dawei Chen; Yanzhi Yang; Guanjian Liu; Hu Wen; Lihong Chen; Liping He; Xiujun Li; Haoming Tian; Weiping Jia; Xingwu Ran
Journal:  Diabetes Technol Ther       Date:  2013-04-17       Impact factor: 6.118

9.  No effect of a diet with a reduced glycaemic index on satiety, energy intake and body weight in overweight and obese women.

Authors:  L M Aston; C S Stokes; S A Jebb
Journal:  Int J Obes (Lond)       Date:  2007-10-09       Impact factor: 5.095

Review 10.  Dietary glycemic load and atherothrombotic risk.

Authors:  Simin Liu; Walter C Willett
Journal:  Curr Atheroscler Rep       Date:  2002-11       Impact factor: 5.113

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