Knowledge of carbohydrate counting and insulin dose calculations in paediatric patients with type 1 diabetes mellitus

The Impact of Using Carbohydrate Counting on Managing Diabetic Patients: A Review

Carbohydrate counting (CC) is a meal planning practice for diabetic patients, focusing on tracking the amount of carbohydrates in grams consumed at meals to manage blood glucose (BG) levels. The purpose of this narrative review is to evaluate the impact of CC in helping people with diabetes manage their condition. It reveals that CC offers superior glycemic control and flexibility compared to other food planning techniques. Specifically, when applied to children and teenage patients diagnosed with type 1 diabetes mellitus (T1DM), CC demonstrates the potential for substantial improvements in metabolic control without any adverse effects on weight or increased insulin requirements. In the context of T1DM, the combination of CC and the use of automated bolus calculators (ABCs) contributes to lowering glycated hemoglobin (HbA1c) levels. Furthermore, the study highlights that CC also holds promise in the management of type 2 diabetes mellitus (T2DM). In T2DM patients, adhering to a low glycemic index (GI) diet has proven to be more effective in controlling HbA1c and fasting BG levels compared to a higher GI diet or standard dietary control. This research underscores the evolving significance of CC as a pivotal component in diabetes management, attributed to increased awareness and education among patients. CC emerges as a versatile tool that can benefit individuals with various forms of diabetes by enhancing their glycemic control and overall quality of life. The findings affirm the impact of CC in improving patient outcomes, solidifying its status as a vital strategy in the multifaceted landscape of diabetes care.

Too Much Dietary Flexibility May Hinder, Not Help: Could More Specific Targets for Daily Food Intake Distribution Promote Glycemic Management among Youth with Type 1 Diabetes?

Average glycemic levels among youth with type 1 diabetes (T1D) have worsened in some parts of the world over the past decade despite simultaneous increased uptake of diabetes technology, thereby highlighting the persistent need to identify effective behavioral strategies to manage glycemia during this life stage. Nutrition is fundamental to T1D management. We reviewed the evidence base of eating strategies tested to date to improve glycemic levels among youth with T1D in order to identify promising directions for future research. No eating strategy tested among youth with T1D since the advent of flexible insulin regimens—including widely promoted carbohydrate counting and low glycemic index strategies—is robustly supported by the existing evidence base, which is characterized by few prospective studies, small study sample sizes, and lack of replication of results due to marked differences in study design or eating strategy tested. Further, focus on macronutrients or food groups without consideration of food intake distribution throughout the day or day-to-day consistency may partially underlie the lack of glycemic benefits observed in studies to date. Increased attention paid to these factors by future observational and experimental studies may facilitate identification of behavioral targets that increase glycemic predictability and management among youth with T1D.

Variation of carbohydrate intake in diabetic children on carbohydrate counting

AIMS

Carbohydrate counting (CC) is a technique for managing diabetes particularly based on the counting of carbohydrates. It allows diabetic patients to vary their amount of carbohydrates from one meal to another by adjusting their insulin dose. The primary objective was to determine the variation of carbohydrate intake (CI) in children on CC.

METHOD

This was a prospective study conducted between 2014 and 2016. We collected the amount of carbohydrates eaten at each meal by 77 diabetic over a period of 28 days (i.e. 8068 data). We analyzed the number and percentage of significant CI variation rates from one day to another, both for the whole day and for each meal. The CI variation rate was deemed significant if it was greater than or equal to 30%.

RESULTS

The percentage of significant CI variation rates was 30% at the daily level, 34% for breakfast, 44% for lunch and dinner, and 53% for snack. The percentage of significant variation rates varied according to age, treatment and occurrence of events.

CONCLUSION

Children varied their CI significantly from one meal to another more than one in three times. CC offers flexibility and a better quality of life for children using this method.

One potato, two potato,… assessing carbohydrate counting accuracy in adolescents with type 1 diabetes

BACKGROUND/OBJECTIVE

Carbohydrate (CHO) counting is a recommended daily practice to help manage blood glucose levels in type 1 diabetes. Evidence suggests that CHO estimates should be within 10 to 15 g of the actual meal for optimal postprandial blood glucose control. The objective of this study was to assess accuracy of CHO counting in adolescents with type 1 diabetes.

METHODS

Adolescents (aged 12-18 years) with type 1 diabetes who self-identified as regular CHO counters were recruited from the SickKids Diabetes Clinic, Toronto, Canada. Adolescents completed the PedsCarbQuiz (PCQ) and estimated CHO content of test trays (three meals and three snack trays) that were randomly assigned. Analyses were conducted to identify factors associated with accuracy of counting and CHO counting knowledge (PCQ score).

RESULTS

A total of 140 adolescents (78 females, mean age 14.7, SD = 1.8) participated. The average PCQ score was 81 ± 10%. Forty-two percent of adolescents were accurate in estimating meal trays (ie, within 10 g of the actual CHO content), 44% estimated inaccurately (within 10-20 g), while 14% were significantly inaccurate counters (>20 g variation). PCQ scores were higher in teens who CHO counted accurately than in those with significant inaccuracy (>20 g) (P < 0.05), and a longer duration of diabetes corresponded significantly with a lower PCQ score. No demographics correlated significantly with CHO counting accuracy.

CONCLUSIONS

Less than half of the teens in our study were accurate CHO counters. These results indicate the need for regular clinical accuracy check and reeducation.

The Association between the Parents' Knowledge of Carbohydrate Counting and the Glycaemic Control of the Children with Type 1 Diabetes

BACKGROUND

Medical nutritional therapy is an important component of type 1 diabetes (T1D) care in children and carbohydrate counting is one such method. We aimed to evaluate the knowledge of carbohydrate counting among parents of children with T1D from Sri Lanka and study its association with the child's glycaemic control.

METHODS

A descriptive cross-sectional study was conducted among parents of children with T1D. HbA1c measurement was used to assess glycaemic control. Knowledge of parent regarding carbohydrate counting was assessed based on a 24-hour dietary recall. Carbohydrate counting knowledge was defined using ratio of carbohydrate content estimated by parents to actual carbohydrate content calculated by researchers (Total, Breakfast, Lunch, Dinner, and Snacks). Ratios obtained were also divided into three groups, underestimation (<0.9), accurate estimation (0.9-1.1), and overestimation (>1.1). A multivariate regression analysis was performed to determine contribution of carbohydrate counting accuracy to glycaemic control (HbA1c).

RESULTS

Sample size was 181 and mean age of the parents was 38.8±5.9 years. Mean duration of diabetes in the children was 3.7±2.6 years and mean HbA1c level was 8.3±0.9%. On average, parents estimates of carbohydrate count for the total meal were 0.88±0.27 (88%) (range 0.38-1.47) of the actual carbohydrate count. Only 30.5% (n=55) of parents were grouped in the "accurate" estimation category for the total carbohydrate count. Parents of children with diabetes for ≤3 years estimated total carbohydrate count more accurately than the counterparts (p<0.05). Mean HbA1c value of those who "underestimated" was significantly higher than those with "accurate" estimation. In the multivariate analysis accuracy of carbohydrate estimation was associated with a lower HbA1c (β = -0.36; p=0.03).

CONCLUSIONS

Overall knowledge of carbohydrate counting among parents was inadequate. Better knowledge was associated with improved glycaemic control in children and lower incidence of hypoglycaemic episodes. An inverse association was observed between knowledge and duration of diabetes.

Food exchange estimation by children with type 1 diabetes at summer camp

BACKGROUND

As exchange counting poses difficulty for children with type 1 diabetes (T1D) attending diabetes camps, they often guesstimate food amount without performing an exchange calculation. The aim of the study was to compare the accuracy of estimation with exchange counting using the mobile food exchange calculator (MFEC).

METHODS

During a summer camp, 25 children with T1D on pumps estimated the number of carbohydrate (CE) and fat/protein exchanges (FPE) appropriate for main meals. Afterwards, the number of exchanges was counted with MFEC and electronic scales.

RESULTS

There was a difference between CE (p<0.0001) and FPE (p<0.0001) estimations and counting using MFEC. The youth miscalculated the true values of ≥1 CE and ≥1 FPE by 31% and 23%, respectively. They more often underestimated than overestimated CE and FPE (p<0.0001). The estimation error increased with younger age.

CONCLUSIONS

Carbohydrate counting caused significant error in the exchange number. The use of MFEC facilitates correct exchange calculation. Patients should weigh food and calculate exchanges themselves using mobile applications.