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The algorithm that was tested against moderate exercise and an overreading glucose sensor performed well in terms of hypoglycemia avoidance
Liz Tim Davis Jones MBBS FRACP PhD MBBS DCH FRACP MD Co-director of Children’s Diabetes Centre Co-head, Diabetes and Obesity Research Co-director of
Aveni Liz Haynes Davis BA (Hons), MBBChir, MA (Cantab), PhD MBBS FRACP PhD Principal Research Fellow Co-director of Children’s Diabetes Centre
Besides the challenges associated with their teenage years, adolescents with Type 1 Diabetes (T1D) encounter additional challenges of having a chronic condition.
Co-head, Diabetes and Obesity Research
Research Assistant
Once upon a time it was infectious diseases like polio, measles or tuberculosis that most worried parents. With these threats now largely under control, parents face a new challenge – sky-rocketing rates of non-infectious diseases such as asthma, allergies and autism.
Every decision a child with type 1 diabetes makes can impact on their blood glucose levels.
A national collaboration was formed to provide longitudinal collection of T1D patient characteristics and outcomes, the Australasian Diabetes Data Network
The aim of this study was to determine the efficacy of this algorithm in the prevention of exercise-induced hypoglycemia under in-clinic conditions