Literature DB >> 24360781

Impact of advanced and basic carbohydrate counting methods on metabolic control in patients with type 1 diabetes.

Débora Lopes Souto1, Lenita Zajdenverg2, Melanie Rodacki2, Eliane Lopes Rosado3.   

Abstract

OBJECTIVE: Diets based on carbohydrate counting remain a key strategy for improving glycemic control in patients with type 1 diabetes. However, these diets may promote weight gain because of the flexibility in food choices. The aim of this study was to compare carbohydrate counting methods regarding anthropometric, biochemical, and dietary variables in individuals with type 1 diabetes, as well as to evaluate their knowledge about nutrition.
METHODS: Participants were allocated in basic or advanced groups. After 3 mo of the nutritional counseling, dietary intake, anthropometric variables, lipemia, and glycemic control were compared between groups. A questionnaire regarding carbohydrate counting, sucrose intake, nutritional knowledge, and diabetes and nutrition taboos also was administered.
RESULTS: Ten (30%) participants had already used advanced carbohydrate counting before the nutritional counseling and these individuals had a higher body mass index (BMI) (P < 0.01) and waist circumference (WC) (P = 0.01) than others (n = 23; 69.7%). After 3 mo of follow-up, although participants in the advanced group (n = 17; 51.52%) presented higher BMI (P < 0.01) and WC (P = 0.03), those in the basic group (n = 16; 48.48%) showed a higher fat intake (P < 0.01). The majority of participants reported no difficulty in following carbohydrate counting (62.5% and 88% for basic and advanced groups, respectively) and a greater flexibility in terms of food choices (>90% with both methods).
CONCLUSIONS: Advanced carbohydrate counting did not affect lipemic and glycemic control in individuals with type 1 diabetes, however, it may increase food intake, and consequently the BMI and WC, when compared to basic carbohydrate counting. Furthermore, carbohydrate counting promoted greater food flexibility.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Body composition; Carbohydrate; Compliance; Diabetes; Diet therapy; Sucrose

Mesh:

Substances:

Year:  2013        PMID: 24360781     DOI: 10.1016/j.nut.2013.08.010

Source DB:  PubMed          Journal:  Nutrition        ISSN: 0899-9007            Impact factor:   4.008


  5 in total

1.  Influence of Flexible Insulin Dosing with Carbohydrate Counting Method on Metabolic and Clinical Parameters in Type 1 Diabetes Patients.

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Journal:  Open Access Maced J Med Sci       Date:  2018-08-19

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Authors:  Annika Grönberg; Per-Ola Carlsson
Journal:  Pediatr Diabetes       Date:  2022-01-19       Impact factor: 3.409

3.  Recovery of premorbid BMI trajectory without overshoot during the first year of treatment of children with type 1 diabetes.

Authors:  Annika Grönberg; Ingemar Swenne
Journal:  BMJ Open Diabetes Res Care       Date:  2016-07-26

4.  Efficacy of bolus insulin calculation by a mobile-based bolus advisor: An open label clinical trial.

Authors:  Mansour Siavash; Mohsen Taherian; Masoud Ataei Khorasgani
Journal:  J Res Med Sci       Date:  2015-11       Impact factor: 1.852

Review 5.  Functional Foods and Lifestyle Approaches for Diabetes Prevention and Management.

Authors:  Ahmad Alkhatib; Catherine Tsang; Ali Tiss; Theeshan Bahorun; Hossein Arefanian; Roula Barake; Abdelkrim Khadir; Jaakko Tuomilehto
Journal:  Nutrients       Date:  2017-12-01       Impact factor: 5.717

  5 in total

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