Search
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.
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.
Technology use in type 1 diabetes (T1D) is impacted by socioeconomic status (SES). This analysis explored relationships between SES, glycemic outcomes, and technology use.
More than 35% of Aboriginal and Torres Strait Islander adults live with cardiovascular disease, diabetes, or chronic kidney disease. There is a pressing need for chronic disease prevention and management among Aboriginal and Torres Strait Islander people in Australia. Therefore, this review aimed to synthesise a decade of contemporary evidence to understand the barriers and enablers of chronic disease prevention and management for Aboriginal and Torres Strait Islander People with a view to developing policy and practice recommendations.
Type 1 Diabetes (T1D) is a 'family illness'; diagnoses and management can be perceived as invasive or traumatic. Caregivers bear the brunt of the diagnostic shock, influencing their child's experience. Children and adolescents may grapple with the psychological effects of past/ongoing medical trauma. Additionally, adolescents may struggle with their mental health as they navigate tensions between caregiver involvement and their developmental need for autonomy.
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 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.
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.
Peroxisome proliferator-activated receptor γ (PPARγ) is a prominent ligand-inducible transcription factor involved in adipocyte differentiation, glucose homeostasis, insulin sensitivity, inflammation, and cell proliferation, making it a therapeutic target for diabetes, metabolic syndrome, autoimmune diseases, and cancer.
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.