24-Hour Glucose Profiles on Diets Varying in Protein Content and Glycemic Index

Evidence is increasing that the postprandial state is an important factor contributing to the risk of chronic diseases. Not only mean glycemia, but also glycemic variability has been implicated in this effect. In this exploratory study, we measured 24-h glucose profiles in 25 overweight participants...

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Main Author: Marleen A. van Baak
Format: Article
Language:English
Published: MDPI AG 2014-08-01
Series:Nutrients
Subjects:
Online Access:http://www.mdpi.com/2072-6643/6/8/3050
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spelling doaj-7b2902e219f04c59862882e380b2ad1f2020-11-24T21:46:02ZengMDPI AGNutrients2072-66432014-08-01683050306110.3390/nu6083050nu608305024-Hour Glucose Profiles on Diets Varying in Protein Content and Glycemic IndexMarleen A. van Baak0Department of Human Biology, NUTRIM School for Nutrition, Toxicology and Metabolism, Maastricht University Medical Centre+, P.O. Box 616, 6200MD Maastricht, The NetherlandsEvidence is increasing that the postprandial state is an important factor contributing to the risk of chronic diseases. Not only mean glycemia, but also glycemic variability has been implicated in this effect. In this exploratory study, we measured 24-h glucose profiles in 25 overweight participants in a long-term diet intervention study (DIOGENES study on Diet, Obesity and Genes), which had been randomized to four different diet groups consuming diets varying in protein content and glycemic index. In addition, we compared 24-h glucose profiles in a more controlled fashion, where nine other subjects followed in random order the same four diets differing in carbohydrate content by 10 energy% and glycemic index by 20 units during three days. Meals were provided in the lab and had to be eaten at fixed times during the day. No differences in mean glucose concentration or glucose variability (SD) were found between diet groups in the DIOGENES study. In the more controlled lab study, mean 24-h glucose concentrations were also not different. Glucose variability (SD and CONGA1), however, was lower on the diet combining a lower carbohydrate content and GI compared to the diet combining a higher carbohydrate content and GI. These data suggest that diets with moderate differences in carbohydrate content and GI do not affect mean 24-h or daytime glucose concentrations, but may result in differences in the variability of the glucose level in healthy normal weight and overweight individualshttp://www.mdpi.com/2072-6643/6/8/3050glycemic indexglycemic loadmean 24-h glucose concentrationglucose variabilitycontinuous glucose monitoring
collection DOAJ
language English
format Article
sources DOAJ
author Marleen A. van Baak
spellingShingle Marleen A. van Baak
24-Hour Glucose Profiles on Diets Varying in Protein Content and Glycemic Index
Nutrients
glycemic index
glycemic load
mean 24-h glucose concentration
glucose variability
continuous glucose monitoring
author_facet Marleen A. van Baak
author_sort Marleen A. van Baak
title 24-Hour Glucose Profiles on Diets Varying in Protein Content and Glycemic Index
title_short 24-Hour Glucose Profiles on Diets Varying in Protein Content and Glycemic Index
title_full 24-Hour Glucose Profiles on Diets Varying in Protein Content and Glycemic Index
title_fullStr 24-Hour Glucose Profiles on Diets Varying in Protein Content and Glycemic Index
title_full_unstemmed 24-Hour Glucose Profiles on Diets Varying in Protein Content and Glycemic Index
title_sort 24-hour glucose profiles on diets varying in protein content and glycemic index
publisher MDPI AG
series Nutrients
issn 2072-6643
publishDate 2014-08-01
description Evidence is increasing that the postprandial state is an important factor contributing to the risk of chronic diseases. Not only mean glycemia, but also glycemic variability has been implicated in this effect. In this exploratory study, we measured 24-h glucose profiles in 25 overweight participants in a long-term diet intervention study (DIOGENES study on Diet, Obesity and Genes), which had been randomized to four different diet groups consuming diets varying in protein content and glycemic index. In addition, we compared 24-h glucose profiles in a more controlled fashion, where nine other subjects followed in random order the same four diets differing in carbohydrate content by 10 energy% and glycemic index by 20 units during three days. Meals were provided in the lab and had to be eaten at fixed times during the day. No differences in mean glucose concentration or glucose variability (SD) were found between diet groups in the DIOGENES study. In the more controlled lab study, mean 24-h glucose concentrations were also not different. Glucose variability (SD and CONGA1), however, was lower on the diet combining a lower carbohydrate content and GI compared to the diet combining a higher carbohydrate content and GI. These data suggest that diets with moderate differences in carbohydrate content and GI do not affect mean 24-h or daytime glucose concentrations, but may result in differences in the variability of the glucose level in healthy normal weight and overweight individuals
topic glycemic index
glycemic load
mean 24-h glucose concentration
glucose variability
continuous glucose monitoring
url http://www.mdpi.com/2072-6643/6/8/3050
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