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Early Dysglycemia Is Detectable Using Continuous Glucose Monitoring in Very Young Children at Risk of Type 1 DiabetesContinuous 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.
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The relationship between non-communicable disease risk and mental wellbeing in adolescence: a cross-sectional study utilising objective measures in IndonesiaRisk factors for non-communicable diseases (NCDs, cardiovascular diseases, cancers, chronic respiratory diseases, diabetes, and mental disorders) arise in adolescence but are mostly framed as relevant to health in adulthood; little is known about the relationship between co-occurring NCD risks and mental wellbeing in young people.
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The National Paediatric Applied Research Translation Initiative (N-PARTI): using implementation science to improve primary care for Australian children with asthma, type 1 diabetesGeneral practice-based care for Australian children is facing low levels of clinical guideline adherence particularly in three key areas: asthma, type 1 diabetes and antibiotic use. We offer an implementation science-informed position paper, providing a broad overview of how we aim to address this issue.
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Environmental Determinants of Islet Autoimmunity (ENDIA) longitudinal prospective pregnancy to childhood cohort study of Australian children at risk of type 1 diabetes: parental demographics and birth informationThe 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.
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Hypoglycaemia in DiabetesIatrogenic hypoglycaemia is one of the main limiting factors in the glycaemic management of diabetes. It causes negative biological, psychological, and social consequences in most people with type 1 diabetes and in many with advanced type 2 diabetes. This chapter explores physiological homeostatic mechanisms that prevent hypoglycaemia through glucose counter-regulation, before discussing specific acquired defects of glucose counter-regulation in diabetes, which provides an insight into risk factors for hypoglycaemia.
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Neurocognitive outcomes of children with type 1 diabetes mellitusTo conduct an analysis of children with TIDM’s cognitive profile at an age in which both cognition and cortical development are still maturing
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Early environmental determinants of pancreatic islet autoimmunity: a pregnancy to early life cohort study in children at risk of type 1 diabetesThis study is looking for the causes of type 1 diabetes, so that we can find ways to prevent it.
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Glycemic and Psychosocial Outcomes of Advanced Hybrid Closed-Loop Therapy in Youth With High HbA1c: A Randomized Clinical TrialTo determine the efficacy of advanced hybrid closed-loop therapy in a high-risk cohort of youth on continuous subcutaneous insulin infusion with or without continuous glucose monitoring with suboptimal glycemia.
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A very low carbohydrate diet for minimising blood glucose excursions during ultra-endurance open-water swimming in type 1 diabetes: a case reportCarbohydrate-restricted diets are used by people with type 1 diabetes (T1D) to help manage their condition. However, the impact of this strategy on blood glucose responses to exercise is unknown. This study describes the nutritional strategies of an athlete with T1D, who follows a very low carbohydrate diet to manage her condition during an ultra-endurance open-water swimming event.
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A novel mobile health app to educate and empower young people with type 1 diabetes to exercise safely: Prospective single-arm mixed methods pilot studyEmpowering young people with type 1 diabetes (T1D) to manage their blood glucose levels during exercise is a complex challenge faced by health care professionals due to the unpredictable nature of exercise and its effect on blood glucose levels. Mobile health (mHealth) apps would be useful as a decision-support aid to effectively contextualize a blood glucose result and take appropriate action to optimize glucose levels during and after exercise.