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Research

The use of automated insulin delivery around physical activity and exercise in type 1 diabetes: a position statement of EASD and ISPAD

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.

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Early Dysglycemia Is Detectable Using Continuous Glucose Monitoring in Very Young Children at Risk of Type 1 Diabetes

Continuous 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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Acute hyperglycaemia does not have a consistent adverse effect on exercise performance in recreationally active young people with type 1 diabetes: a randomised crossover in-clinic study

In individuals with type 1 diabetes, chronic hyperglycaemia impairs aerobic fitness. However, the effect of acute marked hyperglycaemia on aerobic fitness is unclear, and the impact of insulin level has not been examined. In this study, we explored if acute hyperglycaemia with higher or low insulin levels affects [Formula: see text] and other exercise performance indicators in individuals with type 1 diabetes.

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Lower HbA1c targets are associated with better metabolic control

Previous studies have suggested that clear HbA1c target setting by the diabetes team is associated with HbA1c outcomes in adolescents. The aim of this study was to evaluate whether this finding is consistent in a larger cohort of children from centers participating in the SWEET international diabetes registry. A questionnaire was sent out to 76 SWEET centers, of which responses from 53 pediatric centers were included (70%). Descriptive outcomes were presented as median with lower and upper quartile.

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Less Nocturnal Hypoglycemia but Equivalent Time in Range among Adults with Type 1 Diabetes Using Insulin Pumps Versus Multiple Daily Injections

This prerandomization analysis from the Australian HCL-Adult trial (registration number: ACTRN12617000520336) compared masked continuous glucose monitoring (CGM) metrics among adults using insulin pumps versus multiple daily injections (MDIs), who were all self-monitoring blood glucose (SMBG).

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Epigenome-wide meta-analysis of DNA methylation and childhood asthma

Novel loci differentially methylated in newborns represent potential biomarkers of risk of asthma by school age

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Cost-effectiveness analysis of routine screening using massively parallel sequencing for maturity-onset diabetes of the young in a pediatric diabetes cohort

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

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Season, terrestrial ultraviolet radiation, and markers of glucose metabolism in children living in Perth, Western Australia

Increased safe sun exposure in winter therefore represents a plausible means of reducing fasting blood sugar in children with obesity

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Concurrent developmental course of sleep problems and emotional/behavioral problems in childhood and adolescence as reflected by the dysregulation profile

Findings provide evidence for a strong association in the development of sleep problems and difficulties of dysregulation with emotion, cognition, and aggression

Research

Machine Learning-Based DNA Methylation Score for Fetal Exposure to Maternal Smoking

Fetal exposure to maternal smoking during pregnancy is associated with the development of noncommunicable diseases in the offspring. Maternal smoking may induce such long-term effects through persistent changes in the DNA methylome, which therefore hold the potential to be used as a biomarker of this early life exposure. With declining costs for measuring DNA methylation, we aimed to develop a DNA methylation score that can be used on adolescent DNA methylation data and thereby generate a score for in utero cigarette smoke exposure.