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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.
The Environmental Determinants of Islet Autoimmunity Study is an ongoing Australian prospective cohort study investigating how modifiable prenatal and early-life exposures drive the development of islet autoimmunity and type 1 diabetes in children. In this profile, we describe the cohort's parental demographics, maternal and neonatal outcomes and human leukocyte antigen genotypes.
Technology use in type 1 diabetes (T1D) is impacted by socioeconomic status (SES). This analysis explored relationships between SES, glycemic outcomes, and technology use.
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.
This analysis aimed to investigate diabetes-specific psychological outcomes among adults with type 1 diabetes (T1D) using hybrid closed-loop (HCL) versus standard therapy.
Globally, nearly 9 million people are living with type 1 diabetes (T1D). Although the incidence of T1D is not affected by socioeconomic status, the development of complications and limited access to modern therapy is overrepresented in vulnerable populations. Diabetes technology, specifically continuous glucose monitoring and automated insulin delivery systems, are considered the gold standard for management of T1D, yet access to these technologies varies widely across countries and regions, and varies widely even within high-income countries.
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.
The Environmental Determinants of Islet Autoimmunity (ENDIA) pregnancy-birth cohort investigates the developmental origins of type 1 diabetes (T1D), with recruitment between 2013 and 2019. ENDIA is the first study in the world with comprehensive data and biospecimen collection during pregnancy, at birth and through childhood from at-risk children who have a first-degree relative with T1D.
To compare HbA1c and clinical outcomes in adolescents and young adults with type 1 diabetes, with or without celiac disease.
High protein high fat meals are considered “difficult” foods because they can cause prolonged hyperglycemia after ingestion. The potential of hybrid closed loop therapy in managing postprandial glucose excursions with these difficult foods remains unknown. This pilot study aimed to explore the impact of manual mode in standard insulin pump therapy and auto mode with hybrid closed loop pump therapy in managing glucose excursions caused by HPHF foods and to obtain feedback from families about each mode.