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Research

Clinical, research, and public health implications of poor measurement of Vitamin D status

New initiatives to develop a standard reference method and the assignment of "true" values to samples provide a solution to these problems.

Research

Machine learning and clinical epigenetics: a review of challenges for diagnosis and classification

We now have a growing number of epigenetic alterations in disease, and this offers a chance to increase sensitivity and specificity of future diagnostics and therapies

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Unexpected Management Behaviors in Adolescents With Type 1 Diabetes Using Sensor-Augmented Pump Therapy

Constant exposure to real-time data can lead to unsafe management responses in adolescents with the behavior influenced by trust or mistrust in the system

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The Importance of the Hawthorne Effect on Psychological Outcomes Unveiled in a Randomized Controlled Trial of Diabetes Technology

The objective of this communication is to highlight the Hawthorne effect on psychobehavioral measures and the importance of a control group in clinical research, particularly for diabetes technologies

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A randomized comparison of three prandial insulin dosing algorithms for children and adolescents with Type 1 diabetes

The Pankowska Equation resulted in reduced postprandial hyperglycaemia at the expense of an increase in hypoglycaemia

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Methylome-wide association study of central adiposity implicates genes involved in immune and endocrine systems

We conducted a methylome-wide association study to examine associations between DNA methylation in whole blood and central adiposity and body fat distribution, measured as waist circumference, waist-to-hip ratio and waist-to-height ratio adjusted for body mass index, in 2684 African-American adults in the Atherosclerosis Risk in Communities study.

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Differential SLC6A4 methylation: a predictive epigenetic marker of adiposity from birth to adulthood

These data suggest that altered methylation of CpG loci within SLC6A4 may provide a robust marker of adiposity across the life course

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The EU Child Cohort Network’s core data: establishing a set of findable, accessible, interoperable and re-usable (FAIR) variables

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.

Research

Modelling the effects of beverage substitution during adolescence on later obesity outcomes in early adulthood: Results from the raine study

Sugar-sweetened beverage intake during adolescence was associated with higher body mass index, waist circumference, and being overweight in early adulthood