Literature DB >> 19056599

Glycemic index, postprandial glycemia, and the shape of the curve in healthy subjects: analysis of a database of more than 1,000 foods.

Jennie C Brand-Miller1, Karola Stockmann, Fiona Atkinson, Peter Petocz, Gareth Denyer.   

Abstract

BACKGROUND: The glycemic index (GI) characterizes foods by using the incremental area under the glycemic response curve relative to a similar amount of oral glucose. Its ability to differentiate between curves of different shapes, the peak response, and other aspects of the glycemic response is debatable.
OBJECTIVE: The objective was to explore the association between a food's GI and the shape of the curve in healthy individuals.
DESIGN: A large database of 1,126 foods tested by standardized GI methodology in 8-12 healthy subjects was analyzed systematically. Each food's absolute and incremental blood glucose concentrations were compared at individual time points with the GI. The average curve was generated for low-GI (< or = 55), medium-GI (56-69), and high-GI (> or = 70) foods within major food categories.
RESULTS: The GI of individual foods was found to correlate strongly with the incremental and actual peak (Spearman's correlations of r = 0.76 and r = 0.73, respectively), incremental and actual glucose concentration at 60 min (r = 0.70 and r = 0.66, respectively), and maximum amplitude of glucose excursion (r = 0.68) (all P < 0.001). In contrast, there was only a weak correlation between the food's GI and the 120-min glucose concentration (incremental r = 0.20, P < 0.001; absolute r = 0.16, P < 0.001). Within food groups, the mean GI, 30- and 60-min glucose concentrations, and maximum amplitude of glucose excursion varied significantly for foods classified as having a low, medium, or high GI (P < 0.001).
CONCLUSIONS: The GI provides a good summary of postprandial glycemia. It predicts the peak (or near peak) response, the maximum glucose fluctuation, and other attributes of the response curve.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 19056599     DOI: 10.3945/ajcn.2008.26354

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  46 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.  Assigning glycemic index to foods in a recent Australian food composition database.

Authors:  J C Y Louie; A W Barclay; J C Brand-Miller
Journal:  Eur J Clin Nutr       Date:  2015-10-28       Impact factor: 4.016

3.  Chemical composition and nutritional value of unripe banana flour (Musa acuminata, var. Nanicão).

Authors:  Elizabete Wenzel Menezes; Carmen Cecília Tadini; Tatiana Beatris Tribess; Angela Zuleta; Julieta Binaghi; Nelly Pak; Gloria Vera; Milana Cara Tanasov Dan; Andréa C Bertolini; Beatriz Rosana Cordenunsi; Franco M Lajolo
Journal:  Plant Foods Hum Nutr       Date:  2011-09       Impact factor: 3.921

Review 4.  Postprandial Metabolism of Macronutrients and Cardiometabolic Risk: Recent Developments, Emerging Concepts, and Future Directions.

Authors:  Miriam Jacome-Sosa; Elizabeth J Parks; Richard S Bruno; Esra Tasali; Gary F Lewis; Barbara O Schneeman; Tia M Rains
Journal:  Adv Nutr       Date:  2016-03-15       Impact factor: 8.701

Review 5.  Evidence Supporting a Phased Immuno-physiological Approach to COVID-19 From Prevention Through Recovery.

Authors:  S F Yanuck; J Pizzorno; H Messier; K N Fitzgerald
Journal:  Integr Med (Encinitas)       Date:  2020

6.  Intake of dietary carbohydrates in early adulthood and adolescence and breast density among young women.

Authors:  Seungyoun Jung; Olga Goloubeva; Nola Hylton; Catherine Klifa; Erin LeBlanc; John Shepherd; Linda Snetselaar; Linda Van Horn; Joanne F Dorgan
Journal:  Cancer Causes Control       Date:  2018-05-25       Impact factor: 2.506

7.  Impact of resistant starch in three plantain (Musa AAB) products on glycaemic response of healthy volunteers.

Authors:  Ebun-Oluwa Oladele; Gary Williamson
Journal:  Eur J Nutr       Date:  2014-12-27       Impact factor: 5.614

8.  Return of hunger following a relatively high carbohydrate breakfast is associated with earlier recorded glucose peak and nadir.

Authors:  Paula C Chandler-Laney; Shannon A Morrison; Laura Lee T Goree; Amy C Ellis; Krista Casazza; Renee Desmond; Barbara A Gower
Journal:  Appetite       Date:  2014-05-10       Impact factor: 3.868

Review 9.  Carbohydrates, glycemic index, and pregnancy outcomes in gestational diabetes.

Authors:  Jimmy Chun Yu Louie; Jennie C Brand-Miller; Robert G Moses
Journal:  Curr Diab Rep       Date:  2013-02       Impact factor: 4.810

10.  Glycemic index of millet based food mix and its effect on pre diabetic subjects.

Authors:  K Geetha; Geetha M Yankanchi; Savita Hulamani; Netravati Hiremath
Journal:  J Food Sci Technol       Date:  2020-02-25       Impact factor: 2.701

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.