Literature DB >> 26840067

Clinical Application of the Food Insulin Index for Mealtime Insulin Dosing in Adults with Type 1 Diabetes: A Randomized Controlled Trial.

Kirstine J Bell1,2, Robyn Gray3, Diane Munns3, Peter Petocz4, Garry Steil5,6, Gabrielle Howard3, Stephen Colagiuri1,2, Jennie C Brand-Miller1,2.   

Abstract

BACKGROUND: The Food Insulin Index (FII) is a novel algorithm for ranking foods based on their insulin demand relative to an isoenergetic reference food. We compared the effect of carbohydrate counting (CC) versus the FII algorithm for estimating insulin dosage on glycemic control in type 1 diabetes.
MATERIALS AND METHODS: In a randomized, controlled trial, adults (n = 26) using insulin pump therapy were assigned to using either traditional CC or the novel Food Insulin Demand (FID) counting for 12 weeks. Subjects participated in group education and individual sessions. At baseline and on completion of the trial, glycated hemoglobin A1c (HbA1c), day-long glycemia (6-day continuous glucose monitoring), fasting lipids, and C-reactive protein were determined.
RESULTS: Changes in HbA1c from baseline to 12 weeks were small and not significant in both groups (mean ± SEM; FII vs. CC, -0.1 ± 0.1% vs. -0.3 ± 0.2%; P = 0.855). The incremental area under the curve following breakfast declined significantly among the FID counters with no change in the CC group (FID vs. CC, -93 ± 41 mmol/L/min [P = 0.043] vs. 4 ± 50 mmol/L/min [P = 0.938]; between groups, P = 0.143). The mean amplitude of the glycemic excursion (MAGE) was significantly reduced among the FID counters (FID vs. CC, -6.1 ± 1.0 vs. -1.3 ± 1.0 mmol/L; P = 0.003), and only the FID counters experienced a trend (-44% vs. +11%; P = 0.057) to reduced hypoglycemia.
CONCLUSIONS: In a 12-week pilot study, MAGE and postprandial glycemia following breakfast were significantly improved with FII counting versus CC, despite no significant differences in HbA1c.

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Year:  2016        PMID: 26840067     DOI: 10.1089/dia.2015.0254

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  5 in total

1.  Factors Beyond Carbohydrate to Consider When Determining Meantime Insulin Doses: Protein, Fat, Timing, and Technology.

Authors:  Alison B Evert
Journal:  Diabetes Spectr       Date:  2020-05

2.  The dietary education trial in carbohydrate counting (DIET-CARB Study): study protocol for a randomised, parallel, open-label, intervention study comparing different approaches to dietary self-management in patients with type 1 diabetes.

Authors:  Bettina Ewers; Tina Vilsbøll; Henrik Ullits Andersen; Jens Meldgaard Bruun
Journal:  BMJ Open       Date:  2019-09-03       Impact factor: 2.692

3.  Super Bolus: a remedy for a high glycemic index meal in children with type 1 diabetes on insulin pump therapy?-study protocol for a randomized controlled trial.

Authors:  Emilia Kowalczyk; Katarzyna Dżygało; Agnieszka Szypowska
Journal:  Trials       Date:  2022-03-29       Impact factor: 2.279

4.  The association between food insulin index and odds of non-alcoholic fatty liver disease (NAFLD) in adults: a case-control study.

Authors:  Somaye Fatahi; Mohammad Hassan Sohouli; Appaji Rayi; Farshad Teymoori; Farzad Shidfar
Journal:  Gastroenterol Hepatol Bed Bench       Date:  2021

5.  Effects of basic carbohydrate counting versus standard outpatient nutritional education (The BCC Study): study protocol for a randomised, parallel open-label, intervention study focusing on HbA1c and glucose variability in patients with type 2 diabetes.

Authors:  Bettina Ewers; Jens Meldgaard Bruun; Tina Vilsbøll
Journal:  BMJ Open       Date:  2019-11-21       Impact factor: 2.692

  5 in total

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