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The Horizon2020 LifeCycle Project is a cross-cohort collaboration which brings together data from multiple birth cohorts from across Europe and Australia to facilitate studies on the influence of early-life exposures on later health outcomes. A major product of this collaboration has been the establishment of a FAIR (findable, accessible, interoperable and reusable) data resource known as the EU Child Cohort Network. Here we focus on the EU Child Cohort Network's core variables.
Nutrition education is central to pediatric type 1 diabetes management. Dietary management guidelines for type 1 diabetes are evidence based, but implementation may be challenging and inconsistent.
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.
These findings provide novel insight into the composition of the gut virome during pregnancy and demonstrate a distinct profile of viruses in women with T1D
Routine MPS screening for Maturity-onset diabetes of the young in the pediatric population with diabetes could reduce health system costs and improve patient QoL
Australian adolescent boys with low motor competence/Developmental Coordination Disorder had less robust bones compared to their well-coordinated Australian peers
CGM with remote monitoring was found to improve multiple measures of quality of life, reduce family stress, and improve parental sleep
The Pankowska Equation resulted in reduced postprandial hyperglycaemia at the expense of an increase in hypoglycaemia
This study investigates the performance of an iteration of the Medtronic hybrid closed-loop algorithm
We conclude that insulin pump therapy can be an effective tool to improve glycemic control in adolescents with long-standing treatment resistance