scholarly journals Impact of Carbohydrate Counting Errors on Glycemic Control in Type 1 Diabetes

2018 ◽  
Vol 51 (27) ◽  
pp. 186-191 ◽  
Author(s):  
Florian Reiterer ◽  
Guido Freckmann ◽  
Luigi del Re
2018 ◽  
Vol 13 (1) ◽  
pp. 68-74
Author(s):  
Arwen M. Marker ◽  
Amy E. Noser ◽  
Nicole Knecht ◽  
Mark A. Clements ◽  
Susana R. Patton

Background: Greater knowledge about nutrition and carbohydrate counting are associated with improved glycemic control and quality of life in youth with type 1 diabetes (T1D). However, limited assessments of nutrition and carbohydrate knowledge have been developed, and existing measures can be time-consuming, overly broad, or not conducive to routine clinical use. To fill this gap, we developed and examined the feasibility of administering the electronic Nutrition and Carbohydrate Counting Quiz (eNCQ). Method: Ninety-two caregivers and 70 youth with T1D (mean age 12.5 years; mean time since diagnosis 5 years; English speaking) completed the 19-item eNCQ via tablet during a routine clinical visit. Completion time and item completion rates were used to assess feasibility. Relationships between eNCQ scores and patient demographics, diabetes management, and health outcomes were examined. Results: Participants took 10 minutes, on average, to complete the eNCQ. Total and Carbohydrate subscale scores (youth report) were negatively correlated with youth hemoglobin A1c (total r = –.38, carbohydrate r = –.38, Ps < .05), indicating that greater nutrition knowledge related to better glycemic control. Nutrition knowledge scores were generally high, but knowledge was negatively related to time since diabetes diagnosis ( r = –.276, P < .05). Conclusions: Findings support feasibility of the eNCQ to assess nutrition knowledge in routine clinical care. Following additional acceptability and validity testing, the eNCQ may identify families in need of further nutrition education. Nutrition assessment is particularly indicated for youth over one year since T1D diagnosis, as these families displayed lower nutrition knowledge and may need continuing education to maintain diabetes-specific nutrition knowledge over time.


HORMONES ◽  
2020 ◽  
Vol 19 (3) ◽  
pp. 433-438
Author(s):  
Eirini Kostopoulou ◽  
Ioulia Livada ◽  
Ioanna Partsalaki ◽  
Fotini Lamari ◽  
Spyros Skiadopoulos ◽  
...  

Diabetes Care ◽  
2009 ◽  
Vol 32 (6) ◽  
pp. 1014-1016 ◽  
Author(s):  
S. N. Mehta ◽  
N. Quinn ◽  
L. K. Volkening ◽  
L. M.B. Laffel

2020 ◽  
Vol 33 ◽  
Author(s):  
Camilla Kapp FRITZ ◽  
Andreia Araújo Porchat de LEÃO ◽  
Márcia Regina Messaggi Gomes DIAS ◽  
Adriane de Andre Cardoso DEMARTINI ◽  
Suzana NESI-FRANÇA

ABSTRACT Objective To review the dietary intake of children and adolescents with type 1 diabetes Mellitus and its association with the glycemic profile. Methods Longitudinal observational study. Dietary intake was measured using a three-day dietary record and the glycemic profile with a continuous glucose monitoring (range between 70 and 180mg/dL) and serum glycated hemoglobin levels (ideal <7.5%). Anthropometric data, insulin therapy, and carbohydrate counting were collected. Results The sample included 34 individuals with type 1 diabetes Mellitus aged 13.6±2.1 years. The majority of the population was eutrophic (76.4%). The entire sample used the basal-bolus insulin regimen, with mean insulin dose of 1.0±0.2U/kg/day; for 44.1% of the sample the carbohydrate counting method was used. Macronutrients intake was adequate in only 8.8% of the individuals, the highest frequency of inadequacy was related to carbohydrates (p=0.07). Inadequate glycemic control with hyperglycemia episodes and high mean glycated hemoglobin (9.7%) was observed in all individuals (61.3±18.5%). Carbohydrate counting was responsible for maintaining the percentage of time that the patient had interstitial blood glucose values within the range >40% (p<0.001) and maintaining the percentage of time in hyperglycemia <50% (p<0.001). Conclusion The majority of individuals were eutrophic, but presented inadequate dietary intake and glycemic control. The method of counting carbohydrates positively influenced the glycemic profile.


2010 ◽  
Vol 2 (1) ◽  
Author(s):  
Viviane M Dias ◽  
Juliana A Pandini ◽  
Raquel R Nunes ◽  
Sandro LM Sperandei ◽  
Emilson S Portella ◽  
...  

2018 ◽  
Vol 42 (5) ◽  
pp. S8
Author(s):  
Rémi Rabasa-Lhoret ◽  
Athena Philis-Tsimikas ◽  
Bruce W. Bode ◽  
Edward Franek ◽  
Ludger Rose ◽  
...  

2013 ◽  
Vol 5 (3) ◽  
pp. 181-186 ◽  
Author(s):  
Sanshiro Shiraishi ◽  
Satoshi Miyao ◽  
Nozomi Kikuchi ◽  
Kazue Ochi ◽  
Eiko Sato ◽  
...  

2018 ◽  
Vol 6 (8) ◽  
pp. 1431-1434 ◽  
Author(s):  
Feyzi Gokosmanoglu ◽  
Attila Onmez

Objective: The purpose of providing and maintaining a proper metabolic control is to prevent the development of chronic complications. In this study, we aimed to determine the influence of flexible insulin dosing with carbohydrate counting method on metabolic and clinical parameters in type 1 diabetes patients.Material and Method: This study was conducted with patients following up at the Endocrinology Clinic with a diagnosis of type 1 diabetes mellitus between 2012 and 2015. Metabolic and clinical parameters before and after carbohydrate counting were compared.Results: Forty patients were included to the study. Of the patients, 40% (n=16) were female and 60% (n=24) were male, and mean age was 21.5±7 year at the time of diagnosis. Statistically significant differences were not detected when hemoglobin A1c, fasting plasma glucose, post-prandial glucose, LDL-cholesterol, and HDL-cholesterol levels were compared at standard dose insulin use and after carbohydrate counting (p<0.005). Among the parameters measured when the patients received standard dose insulin without counting carbohydrate and flexible insulin dosing by counting carbohydrate, statistically significant differences were not detected for baseline insulin dose, bolus insulin dose, triglyceride level, body mass index, or monthly hypoglycemia episodes (p>0.05).Conclusion: Flexible insulin dosing with carbohydrate counting provides significant improvements in clinical and metabolic control. We detected improvements in lipid profiles and glycemic control. Additionally, patients generally did not gain weight despite flexible nutrition, and frequency of hypoglycemia remained unchanged despite strict glycemic control.OBJECTIVE: The purpose of providing and maintaining a proper metabolic control is to prevent the development of chronic complications. In this study, we aimed to determine the influence of flexible insulin dosing with carbohydrate counting method on metabolic and clinical parameters in type 1 diabetes patients.MATERIAL AND METHODS: This study was conducted with patients following up at the Endocrinology Clinic with a diagnosis of type 1 diabetes mellitus between 2012 and 2015. Metabolic and clinical parameters before and after carbohydrate counting were compared.RESULTS: Forty patients were included in the study. Of the patients, 40% (n = 16) were female, and 60% (n = 24) were male, and mean age was 21.5 ± 7 year at the time of diagnosis. Statistically significant differences were not detected when haemoglobin A1c, fasting plasma glucose, post-prandial glucose, LDL-cholesterol, and HDL-cholesterol levels were compared at standard dose insulin use and after carbohydrate counting (P < 0.005). Among the parameters measured when the patients received standard dose of insulin without counting carbohydrate and flexible insulin dosing by counting carbohydrate, statistically, significant differences were not detected for baseline insulin dose, bolus insulin dose, triglyceride level, body mass index, or monthly hypoglycemia episodes (P > 0.05).CONCLUSION: Flexible insulin dosing with carbohydrate counting provides significant improvements in clinical and metabolic control. We detected improvements in lipid profiles and glycemic control. Additionally, patients generally did not gain weight despite flexible nutrition, and frequency of hypoglycemia remained unchanged despite strict glycemic control.


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