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Anthony Kicic BSc (Hons) PhD Head, Airway Epithelial Research; WA Cystic Fibrosis Research Collaborative Program Fellowship; Stan Perron Charitable

Technology use in type 1 diabetes (T1D) is impacted by socioeconomic status (SES). This analysis explored relationships between SES, glycemic outcomes, and technology use.

Type 1 diabetes may influence acute and adaptive responses to exercise training and performance. This systematic review aimed to summarize the evidence comparing exercise performance between individuals with and without T1D and to identify the physiological mechanisms underlying potential differences in exercise performance. 

Individuals living with type 1 diabetes (T1D) are at an increased risk of experiencing psychological distress; however, there remains a scarcity of scalable and widely accessible support services, particularly for adolescents and young adults. To address this gap, digital mental health interventions are becoming an increasingly important area of innovation in diabetes care.

To investigate the change in prevalence of impaired awareness of hypoglycemia (IAH) and severe hypoglycemia (SH) across three cohorts (2002, 2015, and 2024) in youth with type 1 diabetes.

Children with Type 1 diabetes (T1D) from different ethnic backgrounds are growing in proportion in clinical practice and tend to have a higher risk of poor health outcomes. The study aimed to investigate the perspectives of culturally and linguistically diverse families in the management of children with T1D in Western Australia.

Continuous glucose monitoring (CGM) devices have demonstrated efficacy in adults and more recently in youths and older adults with type 1 diabetes. In adults with type 1 diabetes, the use of real-time CGM compared with intermittently scanned CGM was associated with improved glycemic control, but there are limited data available for youths. 

The aim of this study was to test the hypothesis that exercise in cool water results in a greater decrease in blood glucose concentration than in thermoneutral water or on land in individuals with type 1 diabetes.

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.

Continuous glucose monitoring (CGM) can detect early dysglycemia in older children and adults with presymptomatic type 1 diabetes and predict risk of progression to clinical onset. However, CGM data for very young children at greatest risk of disease progression are lacking.