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“Sometimes Our Mob Don't Really Take It Serious Until It's Serious”: The Experiences of Western Australian Aboriginal Adolescents Living With Type 2 Diabetes, Their Parents, and Their Family Members

In Australia, Aboriginal children experience disproportionate rates of type 2 diabetes (T2D) compared with non-Aboriginal children. The aim of this qualitative study was to explore the experiences of Aboriginal adolescents with T2D and their family members to better understand the influences of T2D on self-management, with findings used to inform an enhanced service model of care.

Impact of Missing Data on the Accuracy of Glucose Metrics from Continuous Glucose Monitoring Assessed Over a 2-Week Period

To explore the impact of missing data on the accuracy of continuous glucose monitoring (CGM) metrics collected for a 2-week period in a clinical trial.

Blood pressure in adolescents and young adults with type 1 diabetes: data from the Australasian Diabetes Data Network registry

Hypertension increases complication risk in type 1 diabetes (T1D). We examined blood pressure (BP) in adolescents and young adults with T1D from the Australasian Diabetes Data Network, a prospective clinical diabetes registry in Australia and New Zealand. 

Effect of Neck-Deep Immersion in Cool or Thermoneutral Water on Blood Glucose Levels in Individuals With Type 1 Diabetes

It is unclear whether immersion in cool water, typical of many beaches, increases the concentration of blood glucose in individuals with type 1 diabetes mellitus (T1DM).

Improving screening in a paediatric cohort for cystic fibrosis-related diabetes: A quality improvement project

André Schultz MBChB, PhD, FRACP Head, BREATH Team Head, BREATH Team Prof André Schultz is the Head, BREATH Team at The Kids Research Institute

Environmental Determinants of Islet Autoimmunity (ENDIA) longitudinal prospective pregnancy to childhood cohort study of Australian children at risk of type 1 diabetes: parental demographics and birth information

The Environmental Determinants of Islet Autoimmunity Study is an ongoing Australian prospective cohort study investigating how modifiable prenatal and early-life exposures drive the development of islet autoimmunity and type 1 diabetes in children. In this profile, we describe the cohort's parental demographics, maternal and neonatal outcomes and human leukocyte antigen genotypes. 

Epigenetics of the non-coding RNA nc886 across blood, adipose tissue and skeletal muscle in offspring exposed to diabetes in pregnancy

Diabetes in pregnancy is associated with increased risk of long-term metabolic disease in the offspring, potentially mediated by in utero epigenetic variation. Previously, we identified multiple differentially methylated single CpG sites in offspring of women with gestational diabetes mellitus, but whether stretches of differentially methylated regions can also be identified in adolescent GDM offspring is unknown.

Automated Insulin Delivery Is Associated with Reduced Hospital Admissions and Costs for Acute Diabetes Complications in Children with Type 1 Diabetes

This study evaluated the association between insulin regimen, hospitalization for acute diabetes complications, and related health care costs in children with type 1 diabetes (T1D). Hospital admissions for diabetic ketoacidosis or hypoglycemia between January 5, 2022, and April 30, 2024, were analyzed in Western Australian children with T1D. Admissions due to newly diagnosed T1D were excluded. Incidence rate ratios were calculated using generalized estimating equations, adjusted for age, diabetes duration, and socioeconomic status.

Islet autoimmunity in young First Nations women with prediabetes and type 2 diabetes

Type 1 diabetes in First Nations peoples is low yet type 2 diabetes is at epidemic proportions. This study aimed to determine the prevalence of islet autoimmunity in First Nations women with dysglycaemia and its association with clinical features.

Improved Glycemic Outcomes With Diabetes Technology Use Independent of Socioeconomic Status in Youth With Type 1 Diabetes

Technology use in type 1 diabetes (T1D) is impacted by socioeconomic status (SES). This analysis explored relationships between SES, glycemic outcomes, and technology use.