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T1D can be a traumatic diagnosis for children and young people, and often involves strict adherence to painful treatments, comorbid mental health conditions, and shortened life expectancy.
The DiabHQ Patient Portal app is now available to WA children and families living with Type 1 diabetes.
This analysis aimed to investigate diabetes-specific psychological outcomes among adults with type 1 diabetes (T1D) using hybrid closed-loop (HCL) versus standard therapy.
Regular physical activity and exercise (PA) are cornerstones of diabetes care for individuals with type 1 diabetes. In recent years, the availability of automated insulin delivery (AID) systems has improved the ability of people with type 1 diabetes to achieve the recommended glucose target ranges. PA provide additional health benefits but can cause glucose fluctuations, which challenges current AID systems.
Blood glucose management around exercise is challenging for youth with type 1 diabetes (T1D). Previous research has indicated interventions including decision-support aids to better support youth to effectively contextualize blood glucose results and take appropriate action to optimize glucose levels during and after exercise. Mobile health (mHealth) apps help deliver health behavior interventions to youth with T1D, given the use of technology for glucose monitoring, insulin dosing, and carbohydrate counting.
To compare HbA1c and clinical outcomes in adolescents and young adults with type 1 diabetes, with or without celiac disease.
In Australia, Aboriginal children experience disproportionate rates of type 2 diabetes (T2D) compared with non-Aboriginal children. The aim of this qualitative study was to explore the experiences of Aboriginal adolescents with T2D and their family members to better understand the influences of T2D on self-management, with findings used to inform an enhanced service model of care.
To determine the incidence and incidence trends over 2001-2022 of childhood-onset type 1 diabetes (T1D) in Western Australia and assess the impact of the COVID-19 pandemic.
To explore the impact of missing data on the accuracy of continuous glucose monitoring (CGM) metrics collected for a 2-week period in a clinical trial.
Continuous glucose monitoring systems are used in therapeutic decisions for diabetes management, however, the impact of body composition on CGM accuracy is not known. Body composition variables were collected in an observational study designed to determine the accuracy of an investigational Medtronic Guardian™ sensor 3.