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A randomised trial of a trauma-informed well-being program to promote mental health in adolescents with type 1 diabetes: Study protocol

Children and young people with type 1 diabetes (T1D) experience high rates of mental ill health and stress due to the emotional and cognitive energy required to manage their condition. Our team has codesigned Wellbeing T1D, a brief trauma-informed online intervention for adolescents living with T1D. This 5-week intervention will teach skills to promote problem solving, improve emotional regulation and promote helpful thinking and coping.

Medication Use in Type 1 Diabetes and the Association with Socioeconomic Disadvantage: Analysis of a National Linked Dataset

To explore trends in the receipt of commonly prescribed medications (beyond insulin) in people with type 1 diabetes in Australia, including polypharmacy, and to investigate socioeconomic disparities across these trends.

Glucose Metrics During School Hours in Primary School-Aged Children With Type 1 Diabetes: A Population-Based Cohort Study

School time represents a significant component of overall glycaemia for children with type 1 diabetes (T1D), and glucose levels during instructional time may be important for optimising academic progress. There is, however, limited literature regarding glycaemia during school hours. This study aimed to evaluate glucose levels during school in primary school-aged children with T1D in Western Australia (WA) and to compare these with non-school days.

Understanding parents' perspectives of repeated blinded continuous glucose monitoring in children with early-stage type 1 diabetes and an affected first-degree relative

To explore the lived experiences of parents of children at risk of type 1 diabetes undergoing repeated blinded continuous glucose monitoring. Since 2021, children with persistent islet autoimmunity in the Environmental Determinants of Islet Autoimmunity study have been invited to participate in a sub-study involving blinded Dexcom G6 CGM.

Evaluating Type 1 Diabetes Resources to Improve Awareness and Knowledge of Type 1 Diabetes Within Community Sport Settings

A main challenge identified by youth during exercise and sport is the lack of knowledge and awareness around type 1 diabetes (T1D) particularly in community sport settings. Working with youth living with T1D, parents and community sport coaches, our team has developed resources for the T1D and sporting community. This study was to evaluate the acceptability and usability of the resources.

Body mass index, prebiotic supplementation during pregnancy and gestational diabetes mellitus risk: an effect modification analysis from a randomised controlled trial

Prebiotic dietary supplementation has been shown to improve glucose homeostasis in type 2 diabetes patients. The aim of this analysis was to determine whether pre-pregnancy body mass index (BMI) modifies the effect of prebiotic supplementation from mid-pregnancy on reducing the risk of gestational diabetes mellitus

Acceptance and Commitment Therapy (ACT) intervention in adolescents with type 1 diabetes: A pilot and feasibility study

A considerable proportion of patients with type 1 diabetes (T1D) experience emotional problems due to the continual demands of the disease, which may persist throughout life without appropriate support. The aim of this study was to assess the feasibility and acceptability of an Acceptance and Commitment Therapy (ACT) intervention and provide early indications of its capacity to impact psychosocial outcomes for adolescents with T1D. 

Glycemic and Psychosocial Outcomes of Advanced Hybrid Closed-Loop Therapy in Youth With High HbA1c: A Randomized Clinical Trial

To determine the efficacy of advanced hybrid closed-loop therapy in a high-risk cohort of youth on continuous subcutaneous insulin infusion with or without continuous glucose monitoring with suboptimal glycemia.

Machine learning techniques to predict diabetic ketoacidosis and HbA1c above 7% among individuals with type 1 diabetes — A large multi-centre study in Australia and New Zealand

Type 1 diabetes and diabetic ketoacidosis (DKA) have a significant impact on individuals and society across a wide spectrum. Our objective was to utilize machine learning techniques to predict DKA and HbA1c>7 %.

Type 1 Diabetes

A lifelong auto-immune condition that can affect anyone, but is most commonly diagnosed in childhood.