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Competing challenges in adolescence and young adulthood can distract from optimal type 1 diabetes (T1D) self-management, and increase risks of premature morbidity and mortality. There are limited data mapping the glycemic control of people with T1D in this age group, across Australasia.
Technology use in type 1 diabetes (T1D) is impacted by socioeconomic status (SES). This analysis explored relationships between SES, glycemic outcomes, and technology use.
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.
Despite the volume of accumulating knowledge from prospective Aboriginal cohort studies, longitudinal data describing developmental trajectories in health and well-being is limited.
Advanced hybrid closed-loop (AHCL) therapy improves glycemia. However, it is not known if there is an improvement in overall outcomes with AHCL for youth with type 1 diabetes (T1D) at high risk of diabetes-related complications. The study aimed to capture the experiences of youth with suboptimal glycemic control when commencing AHCL therapy in a clinical trial setting.
A type 1 diabetes (T1D) transition clinic in Sydney, Australia, provides age specific care for young adults (aged 16-25 years) and for adults (aged 21 years and above), and has reported improved clinical outcomes post transition to adult care over a 21-year period. This study investigated the contribution of digital technology to long-term resilient capacity of the clinic.
Dietary protein causes dose-dependent hyperglycemia in individuals with type 1 diabetes. This study investigated the effect of consuming 50 g of protein on overnight blood glucose levels following late-afternoon moderate-intensity exercise.
The Continuous Glucose Monitoring (CGM) Initiative recently introduced universal subsidized CGM funding for people with type 1 diabetes under 21 years of age in Australia. We thus aimed to evaluate the cost-effectiveness of this CGM Initiative based on national implementation data and project the economic impact of extending the subsidy to all age-groups.
Citation: Libman I, Haynes A, Lyons S, Pradeep P, Rwagasor E, et al. ISPAD Clinical Practice Consensus Guidelines 2022: Definition, epidemiology, and
Maximal strength can be predicted from the load-velocity relationship, although it is important to understand methodological approaches which ensure the validity and reliability of these strength predictions.