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Application of the paediatric medical traumatic stress model to the mental health experience of young people living with type 1 diabetes: a qualitative study

Despite the various traumatic events that a young person living with type 1 diabetes (T1D) may experience, little is known about the burden and manifestation of traumatic stress in this population. Though mental health outcomes have been explored generally, medical trauma-sensitive approaches to understanding these experiences remain limited. We utilised a qualitative descriptive approach to explore the impact of T1D on young people’s mental health through the paediatric medical traumatic stress model.

Small-area geographical variation in the prevalence of diabetes amongst Australian youth aged <20 years in 2021

To characterise small-area geographical variation in the prevalence of diabetes in Australian youth. A combined statistical reconstruction and small-area estimation algorithm was applied to privacy-modulated data from the 2021 Australian Census. 

Real-world glycaemic outcomes in children and young people on advanced hybrid closed-loop therapy: A population-based study in Western Australia

To evaluate real-world glycaemic outcomes in children with type 1 diabetes commencing advanced hybrid closed loop therapy and to explore these outcomes based on the cohort's clinical and socioeconomic characteristics.

Short-Term Diabetic Retinopathy Status in People with Type 1 Diabetes Commencing Automated Insulin Delivery

Rapid improvements in glucose control may lead to early worsening of diabetic retinopathy (EWDR). There is a need to demonstrate safety in people commencing automated insulin delivery (AID) due to the known efficacy in rapid glycemic improvement. We aimed to investigate short-term DR outcomes in people (aged ≥13 years) with type 1 diabetes after initiation of AID (use ≥6 months).

Six months of hybrid closed-loop therapy improves diabetes-specific positive well-being, and reduces diabetes distress and fear of hypoglycemia: secondary analysis of a controlled trial

This analysis aimed to investigate diabetes-specific psychological outcomes among adults with type 1 diabetes (T1D) using hybrid closed-loop (HCL) versus standard therapy. 

The use of automated insulin delivery around physical activity and exercise in type 1 diabetes: a position statement of EASD and ISPAD

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.

Disparities in Diabetes Technology Uptake in Youth and Young Adults With Type 1 Diabetes: A Global Perspective

Globally, nearly 9 million people are living with type 1 diabetes (T1D). Although the incidence of T1D is not affected by socioeconomic status, the development of complications and limited access to modern therapy is overrepresented in vulnerable populations. Diabetes technology, specifically continuous glucose monitoring and automated insulin delivery systems, are considered the gold standard for management of T1D, yet access to these technologies varies widely across countries and regions, and varies widely even within high-income countries.

Wellbeing and distress in young people with chronic conditions: how do positive psychology variables relate to mental health outcomes?

The aim of this study was to determine the unique and shared contributions of various positive psychology constructs (gratitude, optimism, hope, self-compassion, self-efficacy, and emotion regulation) to wellbeing and distress outcomes in young people living with a diverse range of chronic health conditions. 

Impact of Body Composition on the Accuracy of a Medtronic Guardian Continuous Glucose Monitoring System

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.