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Two decades of increasing incidence of childhood-onset type 2 diabetes in Western Australia (2000–2019)This retrospective population‐based study aimed to determine the incidence of type 2 diabetes from 2012 to 2019 in Western Australian youth aged under 16 years, and to examine temporal trends between 2000 and 2019, using data from the Western Australian Children’s Diabetes Database (WACDD). The data extracted for eligible patients diagnosed with type 2 diabetes, according to standard criteria, included diagnosis year, age, sex and self‐reported Aboriginal or Torres Strait Islander status.
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Feasibility of conducting an early pregnancy diet and lifestyle e-health intervention: The Pregnancy Lifestyle Activity Nutrition (PLAN) projectA lifestyle intervention starting in the first-trimester pregnancy utilising e-health mode of delivery is feasible
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Lipid profile is associated with treatment regimen in a large cohort of children and adolescents with Type 1 diabetes mellitusOur results indicate that pump therapy is associated with a better lipid profile
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Role of HLA-DQ typing and anti-tissue transglutaminase antibody titers in diagnosing celiac disease without duodenal biopsy in type 1 diabetesHLA-DQ typing is not cost effective as a first-line screening test for CD in T1D patients because of over-representation of CD permissive HLA alleles in this group
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Clinical characteristics of Western Australian children diagnosed with type 2 diabetes before 10 years of ageWe aimed to describe the characteristics of Western Australian children aged less than 10 years diagnosed with type 2 diabetes between June 2000 and June 2017
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Characterisation of peripheral bone mineral density in youth at risk of secondary osteoporosis - A preliminary insightNeuromuscular disorders, chronic diseases and low motor competence have a strong correlation to bone health for appendicular bone parameters in youth
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Development of a Novel Mobile Health App to Empower Young People With Type 1 Diabetes to Exercise Safely: Co-Design ApproachBlood 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.
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The usability and feasibility of a self-compassion chatbot (COMPASS) for youth living with type 1 diabetesAlthough it is well established that youth with type 1 Diabetes (T1D) experience high rates of distress, current clinical care is often under-resourced and unable to provide sufficient or timely psychological support. The current study was designed to evaluate the safety, usability and feasibility of 'COMPASS,' a self-compassion chatbot intervention.
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Plastics in human diets: development and evaluation of the 24-h Dietary Recall — Plastic Exposure and the Dietary Plastics ScoreHumans are commonly exposed to plastic through their dietary intake and food consumption patterns. Plastic-associated chemicals (PAC), such as bisphenols and phthalates, are recognized as endocrine-disrupting and are associated with increased risk of cardiovascular disease and metabolic syndrome. However, accurate methods to assess dietary exposure to plastic products and PAC are inadequate, limiting interrogation of health impacts.
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Disparities in Diabetes Technology Uptake in Youth and Young Adults With Type 1 Diabetes: A Global PerspectiveGlobally, 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.