scholarly journals The cross-sectional associations between sense of coherence and diabetic microvascular complications, glycaemic control, and patients' conceptions of type 1 diabetes

2010 ◽  
Vol 8 (1) ◽  
Author(s):  
Aila J Ahola ◽  
◽  
Markku Saraheimo ◽  
Carol Forsblom ◽  
Kustaa Hietala ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Glycaemic Control ◽  
Sense Of Coherence ◽  
Microvascular Complications ◽  
Cross Sectional ◽  
The Cross ◽  
Diabetic Microvascular Complications

scholarly journals Age at menarche and the risk of diabetic microvascular complications in patients with type 1 diabetes

Diabetologia ◽  
2015 ◽  
Vol 59 (3) ◽  
pp. 472-480 ◽  
Author(s):  
Valma Harjutsalo ◽  
◽  
Christine Maric-Bilkan ◽  
Carol Forsblom ◽  
Per-Henrik Groop
Keyword(s):  
Type 1 Diabetes ◽  
Microvascular Complications ◽  
Age At Menarche ◽  
Diabetic Microvascular Complications

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

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Priyanga Ranasinghe ◽  
Vidarsha Rajini Senadeera ◽  
Rashmi Senarathna ◽  
Uththara Sapurnika ◽  
Vindhya Ramanayake ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Glycaemic Control ◽  
Carbohydrate Content ◽  
Accurate Estimation ◽  
Inverse Association ◽  
Total Carbohydrate ◽  
Cross Sectional ◽  
Carbohydrate Counting ◽  
Duration Of 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.

scholarly journals No association between fear of hypoglycemia and blood glucose variability in type 1 diabetes: The cross-sectional VARDIA study

2019 ◽  
Vol 33 (8) ◽  
pp. 554-560 ◽  
Author(s):  
Pierre Jean Saulnier ◽  
Claire Briet ◽  
Elise Gand ◽  
Lucy Chaillous ◽  
Severine Dubois ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Glucose Variability ◽  
Cross Sectional ◽  
Fear Of Hypoglycemia ◽  
Blood Glucose Variability ◽  
The Cross

scholarly journals T1DMicro: A Clinical Risk Calculator for Type 1 Diabetes Related Microvascular Complications

2021 ◽  
Author(s):  
Paul Minh Huy Tran ◽  
Eileen Kim ◽  
Lynn Kim Hoang Tran ◽  
bin Satter Khaled ◽  
Wenbo Zhi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Type 1 Diabetes ◽  
Systolic Blood Pressure ◽  
Microvascular Complications ◽  
Cross Sectional ◽  
Average Systolic Blood Pressure ◽  
Clinical Risk ◽  
C Statistic

AbstractDevelopment of complications in type-1 diabetes patients can be reduced by modifying risk factors. We used a cross-sectional cohort of 1646 patients diagnosed with type 1 diabetes (T1D) to develop a clinical risk score for diabetic peripheral neuropathy (DPN), autonomic neuropathy (AN), retinopathy (DR), and nephropathy (DN). Of these patients, 199 (12.1%) had DPN, 63 (3.8%) had AN, 244 (14.9%) had DR, and 88 (5.4%) had DN. We selected five variables to include in each of the four microvascular complications risk models: age, age of T1D diagnosis, duration of T1D, and average systolic blood pressure and HbA1C over the last three clinic visits. These variables were selected for their strong evidence of association with diabetic complications in the literature and because they are modifiable risk factors. We found the optimism-corrected R2 and Harrell’s C statistic were 0.39 and 0.87 for DPN, 0.24 and 0.86 for AN, 0.49 and 0.91 for DR, and 0.22 and 0.83 for DN respectively.This tool (https://ptran25.shinyapps.io/Diabetic_Peripheral_Neuropathy_Risk) was built to help inform patients of their current risk of microvascular complications and to motivate patients to control their HbA1c and systolic blood pressure in order to reduce their risk of these complications.

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