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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.
Despite the volume of accumulating knowledge from prospective Aboriginal cohort studies, longitudinal data describing developmental trajectories in health and well-being is limited.
Individuals living with type 1 diabetes (T1D) are at an increased risk of experiencing psychological distress; however, there remains a scarcity of scalable and widely accessible support services, particularly for adolescents and young adults. To address this gap, digital mental health interventions are becoming an increasingly important area of innovation in diabetes care.
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.
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.
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.
Technology use in type 1 diabetes (T1D) is impacted by socioeconomic status (SES). This analysis explored relationships between SES, glycemic outcomes, and technology use.
Continuous glucose monitoring systems are used in therapeutic decisions for diabetes management, however, the impact of body composition on CGM accuracy is not known. Body composition variables were collected in an observational study designed to determine the accuracy of an investigational Medtronic Guardian™ sensor 3.
Whānau Pakari is a family-centred healthy lifestyle programme for children/adolescents with overweight/obesity in New Zealand. This secondary analysis from our randomised trial within the clinical service assessed 5-year BMI changes in accompanying caregivers.