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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.
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.
Regular physical activity and exercise (PA) are cornerstones of diabetes care for individuals with type 1 diabetes. In recent years, the availability of automated insulin delivery (AID) systems has improved the ability of people with type 1 diabetes to achieve the recommended glucose target ranges. PA provide additional health benefits but can cause glucose fluctuations, which challenges current AID systems.
Septo-optic dysplasia (SOD) is a major cause of congenital hypopituitarism and is known to be associated with overweight and obesity in up to 44% of children. Given the role of the hypothalamus in hormonal regulation, we sought to assess the association of resting energy expenditure (REE), appetite and physical activity with SOD.
This analysis aimed to investigate diabetes-specific psychological outcomes among adults with type 1 diabetes (T1D) using hybrid closed-loop (HCL) versus standard therapy.
Despite the volume of accumulating knowledge from prospective Aboriginal cohort studies, longitudinal data describing developmental trajectories in health and well-being is limited.
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.
To characterise small-area geographical variation in the prevalence of diabetes in Australian youth. A combined statistical reconstruction and small-area estimation algorithm was applied to privacy-modulated data from the 2021 Australian Census.
Studies of traditional Indigenous compared to 'Western' gut microbiomes are underrepresented, and lacking in young children, limiting knowledge of early-life microbiomes in different cultural contexts. Here we analyze the gut metagenomes of 50 Indigenous Australian infants (median age <one year) living remotely with variable access to Western foods, compared to age- and sex-matched non-Indigenous infants living in urban Australia.
This cohort study examines whether there is a temporal association between SARS-CoV-2 infection and the development of islet autoimmunity among Australian children with a first-degree relative with type 1 diabetes.