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Besides the challenges associated with their teenage years, adolescents with Type 1 Diabetes (T1D) encounter additional challenges of having a chronic condition.
The national Hybrid Closed-Loop Outpatient Trial will test the use of an automated insulin delivery system to see if it is better at optimising blood glucose levels than standard therapy.
This study will tell us if the use of a hybrid closed loop system can improve awareness of hypoglycaemia.
Our research focuses on what are the best ways for patients with Type 1 Diabetes to exercise safely. We aim to develop clinical guidelines that provide improved advice for patients and educate patients on how to prevent hypos during and after exercise.
The Children's Diabetes Centre's research into Type 1 diabetes, childhood onset Type 2 diabetes and obesity aims to improve the lives of children and adolescents affected by these conditions.
Dietary fat and protein impact postprandial hyperglycaemia in people with type 1 diabetes, but the underlying mechanisms are poorly understood. Glucoregulatory hormones are also known to modulate gastric emptying and may contribute to this effect.
To determine whether continuous subcutaneous insulin infusion (CSII) vs. multiple daily injections (MDI) therapy from near-diagnosis of type 1 diabetes is associated with reduced glycaemic variability (GV) and altered microRNA (miRNAs) expression.
The pattern and quantity of insulin required for high-protein high-fat (HPHF) meals is not well understood. This study aimed to determine the amount and delivery pattern of insulin required to maintain euglycemia for 5 hours after consuming a HPHF meal compared with a low-protein low-fat (LPLF) meal.
Population-level ecological studies show type 1 diabetes incidence is inversely correlated with ambient ultraviolet radiation (UVR) levels. We conducted a nested case–control study using administrative datasets to test this association at the individual level.
Empowering young people with type 1 diabetes (T1D) to manage their blood glucose levels during exercise is a complex challenge faced by health care professionals due to the unpredictable nature of exercise and its effect on blood glucose levels. Mobile health (mHealth) apps would be useful as a decision-support aid to effectively contextualize a blood glucose result and take appropriate action to optimize glucose levels during and after exercise.