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Determining the incidence of hospitalisations and risk factors for vascular complications experienced during early adulthood in patients with childhood T1D
The algorithm that was tested against moderate exercise and an overreading glucose sensor performed well in terms of hypoglycemia avoidance
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
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.
Understanding the geospatial distribution of influenza infection and the risk factors associated with infection clustering can inform targeted preventive interventions. We conducted a geospatial analysis to investigate the spatial patterns and identify drivers of medically attended influenza infection across all age groups in Western Australia.
A lifelong auto-immune condition that can affect anyone, but is most commonly diagnosed in childhood.
Recent diabetes technology is helping 12-year-old Drina keep on top of her condition and be independent, while significantly easing the disease burden on her family.
Keely Amy Tim Bebbington Finlay-Jones Jones MClinPsych/PhD BPsych(Hons), MPsych(Clinical), MHealthEcon, PhD (Clin Psych) MBBS DCH FRACP MD McCusker