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Diabetes is the name for a number of different metabolic disorders in which the body's healthy levels of blood sugar (glucose) can't be maintained.Diabetes can have a significant impact on quality of life should complications develop. Diabetes can affect the individual's entire body.
Adolescence represents a pivotal period for the development of early diabetes-related vascular complications, primarily driven by chronic hyperglycemia and associated metabolic disturbances. Metabolomics provides a promising tool to identify biomarkers reflecting these early changes.
To map and systematise existing research on the use of artificial intelligence (AI) in mental health-based diabetes care contexts, identify trends and potential gaps in the literature, examine methodological limitations and highlight future research directions.
Adolescence represents a pivotal period for the development of early diabetes-related vascular complications, primarily driven by chronic hyperglycemia and associated metabolic disturbances. Metabolomics provides a promising tool to identify biomarkers reflecting these early changes.
Childhood obesity prevalence is increasing globally, with Aboriginal and Torres Strait Islander children over-represented in Australian data. Evidence-based, community healthy lifestyle programs require culturally safe adaptation when implemented in new First Nations contexts, where prioritising access and engagement of First Nations groups is critical.
Digital interventions have emerged as promising tools to support mental well-being in diabetes. This review aimed to evaluate the effectiveness of digital health interventions in improving mental health outcomes among adults with diabetes, as well as assess the methodological quality of relevant studies and provide a commentary on research gaps and future directions.
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.
Although it is well established that youth with type 1 Diabetes (T1D) experience high rates of distress, current clinical care is often under-resourced and unable to provide sufficient or timely psychological support. The current study was designed to evaluate the safety, usability and feasibility of 'COMPASS,' a self-compassion chatbot intervention.
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.
A type 1 diabetes (T1D) transition clinic in Sydney, Australia, provides age specific care for young adults (aged 16-25 years) and for adults (aged 21 years and above), and has reported improved clinical outcomes post transition to adult care over a 21-year period. This study investigated the contribution of digital technology to long-term resilient capacity of the clinic.