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Dietary patterns characterised by high intakes of vegetables may lower the risk of pre-eclampsia and premature birth in the general population. The effect of dietary patterns in women with type 1 diabetes, who have an increased risk of complications in pregnancy, is not known.
Type 1 diabetes and diabetic ketoacidosis (DKA) have a significant impact on individuals and society across a wide spectrum. Our objective was to utilize machine learning techniques to predict DKA and HbA1c>7 %.
Physical activity improves physical and psychosocial outcomes in healthy children and in children with a range of chronic health conditions. Unfortunately, children with chronic health conditions have lower levels of physical activity compared to their healthy peers due to multiple restrictions in physical activities and therefore tend to have lower levels of physical activity compared with their peers. This paper describes the protocol for Move to Improve, a pragmatic trial of an individualised physical activity intervention for children with chronic health conditions.
Temporal eating patterns and ultra-processed food (UPF) consumption have independently been associated with obesity and non-communicable diseases. Little is known about the temporal patterns of UPF consumption, as data is challenging to collect. Temporal data can be extracted from mobile food records (mFRs). The aim of this study was to identify the temporal eating patterns of those consuming UPFs using an mFR.
A considerable proportion of patients with type 1 diabetes (T1D) experience emotional problems due to the continual demands of the disease, which may persist throughout life without appropriate support. The aim of this study was to assess the feasibility and acceptability of an Acceptance and Commitment Therapy (ACT) intervention and provide early indications of its capacity to impact psychosocial outcomes for adolescents with T1D.
To determine the efficacy of advanced hybrid closed-loop therapy in a high-risk cohort of youth on continuous subcutaneous insulin infusion with or without continuous glucose monitoring with suboptimal glycemia.
The evidence about the acceptability and effectiveness of innovative paediatric models of care for Type 1 diabetes is limited. To address this gap, we synthesised literature on implemented models of care, model components, outcomes, and determinants of implementation and sustainability.
One third of Australian children diagnosed with type 1 diabetes present with life-threatening diabetic ketoacidosis (DKA) at diagnosis. Screening for early-stage, presymptomatic type 1 diabetes, with ongoing follow-up, can substantially reduce this risk (<5% risk). Several screening models are being trialled internationally, without consensus on the optimal approach. This pilot study aims to assess three models for a routine, population-wide screening programme in Australia.
The ESCALATION system is a novel paediatric Early Warning System that incorporates family involvement and sepsis recognition. This study aimed to assess the feasibility and iteratively refine the ESCALATION system in a variety of hospital settings in preparation for full-service implementation.
Children with early-stage (pre-symptomatic) type 1 diabetes are currently identified primarily via research-based screening programmes in Australia. Once identified, families live with the knowledge that their child has an increased chance of developing symptomatic, lifelong, insulin-requiring type 1 diabetes but have no specific clinical pathway available to them in Western Australia for accessing tailored support or education. This project aimed to co-design a new clinical pathway to address this unmet need.