Skip to content

Search

Closed Loop Study – Day and Night Feasibility Study

A Closed-Loop System will potentially have a major impact upon acute and chronic complications of diabetes as well as upon their quality of life.

Sprint proof of concept study

This study will evaluate the effect of two types of aerobic exercise

Epidemiology of hypoglycaemia in childhood-onset diabetes in Western Australia

Investigating the demographic, lifestyle and diabetes management factors associated with the incidence of severe hypoglycemia

Epidemiology of childhood diabetes in Western Australia

The objectives of this study are to study the epidemiology of childhood diabetes in Western Australia from 1985 onwards.

“I don't think either of us have really got over the diagnosis.” Caregiver perspectives on medical trauma in adolescent type 1 diabetes; a trauma-informed qualitative investigation

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.

Diabetic Retinopathy Outcomes and Early Worsening of Diabetic Retinopathy in Adolescents and Young Adults With Type 1 Diabetes Following Rapid and Large Glycemic Improvements

Automated insulin delivery (AID) improves glycemia in people with type 1 diabetes (T1D). However, concern remains about early worsening of diabetic retinopathy (EWDR) following rapid and large glycemic improvements. This study evaluated diabetic retinopathy (DR) outcomes in adolescents and young adults with T1D (aged 10-30 years) following AID initiation.

A systematic review of the use of artificial intelligence in mental health–based diabetes care: Current applications 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.

Digital health interventions for improving mental health outcomes and wellbeing for adults with diabetes: A systematic review

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.