HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Full Text Full Text (PDF) Purchase Article View Shopping Cart Alert me when this article is cited Alert me if a correction is posted Citation Map Services Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via Google Scholar Google Scholar Articles by Pearce, K. L Articles by Clifton, P. M Search for Related Content PubMed PubMed Citation Articles by Pearce, K. L Articles by Clifton, P. M Agricola Articles by Pearce, K. L Articles by Clifton, P. M

Effect of carbohydrate distribution on postprandial glucose peaks with the use of continuous glucose monitoring in type 2 diabetes^1,2,3

¹ From the Commonwealth Scientific and Industrial Research Organization (CSIRO), Health Sciences and Nutrition, Adelaide, South Australia, Australia (KLP, MN, JK, and PMC), and Department of Physiology, University of Adelaide, Adelaide, South Australia, Australia (KLP)

Background:Large postprandial glucose peaks are associated with increased risk of diabetic complications and cardiovascular disease.

Objective:We investigated the effect of carbohydrate distribution on postprandial glucose peaks with continuous blood glucose monitoring (CGMS), when consuming a moderate carbohydrate diet in energy balance in subjects with type 2 diabetes.

Design:Twenty-three subjects with type 2 diabetes were randomly assigned to each of four 3-d interventions in a crossover design with a 4-d washout period. Identical foods were provided for each treatment with a ratio of total carbohydrate to protein to fat of 40%:34%:26% but differing in carbohydrate content at each meal: even distribution (CARB-E; 70g carbohydrate), breakfast (CARB-B), lunch (CARB-L), and dinner(CARB-D), each providing 125 g carbohydrate in the loaded meal in a 9-MJ diet. Glucose concentrations were continuously measured with CGMS. Outcomes were assessed by postprandial peak glucose (G_max), time spent > 12 mmol/L (T > 12), and total area under the glucose curve (AUC₂₀).

Results:Daily G_max differed between treatments (P = 0.003) with CARB-L (14.2 ± 1.0 mmol/L), CARB-E (14.5 ± 0.9 mmol/L), and CARB-D (14.6 ± 0.8 mmol/L) being similar but lower than CARB-B (16.5 ± 0.8 mmol/L). Meal G_max was weakly related to carbohydrate amount and glycemic load (r = 0.40–0.44). T > 12 differed between treatments (P = 0.014), and a treatment x fasting blood glucose (FBG) interaction (P = 0.003) was observed with CARB-L (184 ± 74 min) < CARB-B (190 ± 49 min) < CARB-D (234 ± 87 min) < CARB-E (262 ± 91 min). Total AUC₂₀ was not significantly different between treatments. After adjustment for FBG, treatment became significant (P = 0.006); CARB-L (10 049 ± 718 mmol/L x 20 h) < CARB-E (10 493 ± 706 mmol/L x 20 h) < CARB-B (10 603 ± 642 mmol/L x 20 h) < CARB-D (10 717 ± 638 mmol/L x 20 h).

Conclusion:CARB-E did not optimize blood glucose control as assessed by postprandial peaks, whereas CARB-L provided the most favorable postprandial profile.

Key Words: Type 2 diabetes • carbohydrate distribution • moderate carbohydrate diet • continuous glucose monitoring • energy balance • postprandial blood glucose