Literature DB >> 22090469

Glycemic index predicts individual glucose responses after self-selected breakfasts in free-living, abdominally obese adults.

Angela M Kochan1, Thomas M S Wolever, V Tony Chetty, Sonia S Anand, Hertzel C Gerstein, Arya M Sharma.   

Abstract

The degree to which an individual's glycemic response to a meal is determined by the glycemic index (GI) and other components of the meal remains unclear, especially when meals are not consumed in a highly controlled research setting. To address this question, we analyzed data collected during the run-in period of a clinical trial. Free-living, nondiabetic adults (n = 57) aged 53.9 ± 9.8 y (mean ± SD) with a BMI of 33.9 ± 5.3 kg/m(2) and waist circumference of 109 ± 11 cm underwent a 75-g oral glucose tolerance test (OGTT) and, on a separate day, wore a continuous glucose-monitoring system (CGMS) for 24 h during which time they recorded all foods consumed. The protein, fat, and available carbohydrate (avCHO) content and GI of the breakfast meals were calculated from the food records and the incremental areas under the glycemic response curves (iAUC) for 2 h after breakfast (iAUC(breakfast)) were calculated from CGMS data. Values for iAUC(breakfast), avCHO, fat, fiber, and BMI were normalized by log-transformation. The ability of participant characteristics and breakfast composition to predict individual iAUC(breakfast) responses was determined using step-wise multiple linear regression. A total of 56% of the variation in iAUC(breakfast) was explained by GI (30%; P < 0.001), iAUC after the OGTT (11%; P < 0.001), avCHO (11%; P < 0.001), and waist circumference (3%; P = 0.049); the effects of fat, protein, dietary fiber, age, sex, and BMI were not significant. We concluded that, in free-living, abdominally obese adults, GI is a significant determinant of individual glycemic responses elicited by self-selected breakfast meals. In this study, GI was a more important determinant of glycemic response than carbohydrate intake.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 22090469     DOI: 10.3945/jn.111.146571

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


  10 in total

1.  Relatively Low β-Cell Responsiveness Contributes to the Association of BMI with Circulating Glucose Concentrations Measured under Free-Living Conditions among Pregnant African American Women.

Authors:  Paula C Chandler-Laney; Desti N Shepard; Camille R Schneider; Lee Anne Flagg; Wesley M Granger; Melissa S Mancuso; Joseph R Biggio; Barbara A Gower
Journal:  J Nutr       Date:  2016-04-06       Impact factor: 4.798

2.  Glycemic index is as reliable as macronutrients on food labels.

Authors:  Thomas Ms Wolever; Livia Sa Augustin; Jennie C Brand-Miller; Elizabeth Delport; Geoffrey Livesey; David S Ludwig; John L Sievenpiper
Journal:  Am J Clin Nutr       Date:  2017-03       Impact factor: 7.045

3.  Personalized nutrition by prediction of glycaemic responses: fact or fantasy?

Authors:  T M S Wolever
Journal:  Eur J Clin Nutr       Date:  2016-04       Impact factor: 4.016

4.  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

5.  Is There a Place for Dietary Fiber Supplements in Weight Management?

Authors:  Michael R Lyon; Veronica Kacinik
Journal:  Curr Obes Rep       Date:  2012-04-13

6.  Relevance of the dietary glycemic index, glycemic load and genetic predisposition for the glucose homeostasis of Chinese adults without diabetes.

Authors:  Guo Cheng; Hongmei Xue; Jiao Luo; Hong Jia; Lishi Zhang; Junbiao Dai; Anette E Buyken
Journal:  Sci Rep       Date:  2017-03-24       Impact factor: 4.379

7.  Carbohydrates from Sources with a Higher Glycemic Index during Adolescence: Is Evening Rather than Morning Intake Relevant for Risk Markers of Type 2 Diabetes in Young Adulthood?

Authors:  Tanja Diederichs; Christian Herder; Sarah Roßbach; Michael Roden; Stefan A Wudy; Ute Nöthlings; Ute Alexy; Anette E Buyken
Journal:  Nutrients       Date:  2017-06-10       Impact factor: 5.717

8.  Lower Interstitial Glucose Concentrations but Higher Glucose Variability during Low-Energy Diet Compared to Regular Diet-An Observational Study in Females with Obesity.

Authors:  Inger Nilsen; Agneta Andersson; Anna Laurenius; Johanna Osterberg; Magnus Sundbom; Arvo Haenni
Journal:  Nutrients       Date:  2021-10-20       Impact factor: 5.717

9.  Habitually higher dietary glycemic index during puberty is prospectively related to increased risk markers of type 2 diabetes in younger adulthood.

Authors:  Janina Goletzke; Christian Herder; Gesa Joslowski; Katja Bolzenius; Thomas Remer; Stefan A Wudy; Michael Roden; Wolfgang Rathmann; Anette E Buyken
Journal:  Diabetes Care       Date:  2013-01-24       Impact factor: 19.112

Review 10.  The effect of oat β-glucan on postprandial blood glucose and insulin responses: a systematic review and meta-analysis.

Authors:  Andreea Zurbau; Jarvis C Noronha; Tauseef A Khan; John L Sievenpiper; Thomas M S Wolever
Journal:  Eur J Clin Nutr       Date:  2021-02-19       Impact factor: 4.016

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.