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The objectives of this study are to study the epidemiology of childhood diabetes in Western Australia from 1985 onwards.
Keely Bebbington MClinPsych/PhD McCusker Postdoctoral Research Fellow in Type 1 Diabetes 08 6319 1766 keely.bebbington@thekids.org.au McCusker
Liz Tim Davis Jones MBBS FRACP PhD MBBS DCH FRACP MD Co-director of Children’s Diabetes Centre Co-head, Diabetes and Obesity Research Co-director of
DiabHQ Project Manager; Data Theme Lead
Co-director of Children’s Diabetes Centre
Keely Amy Tim Bebbington Finlay-Jones Jones MClinPsych/PhD BPsych(Hons), MPsych(Clinical), MHealthEcon, PhD (Clin Psych) MBBS DCH FRACP MD McCusker
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.
Parents of young children with type 1 diabetes (T1D) are at risk of experiencing elevated stress due to their responsibilities as caregivers. Despite this, there are limited interventions designed to enhance resilience in this population of parents. This pilot randomised controlled trial aimed to examine the acceptability, appropriateness, and feasibility of the Promoting Resilience in Stress Management for Parents (PRISM-P) intervention in parents of young children with T1D.
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.