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Cohort description: Measures of early-life behaviour and later psychopathology in the LifeCycle Project - EU Child Cohort NetworkThe EU LifeCycle Project was launched in 2017 to combine, harmonise, and analyse data from more than 250,000 participants across Europe and Australia, involving cohorts participating in the EU-funded LifeCycle Project. The purpose of this cohort description is to provide a detailed overview over the major measures within mental health domains that are available in 17 European and Australian cohorts participating in the LifeCycle Project.
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Socioeconomic representativeness of Australian, Canadian and British cohorts from the paediatric diabetes AdDIT study: comparisons to regional and national dataGiven limited data regarding the involvement of disadvantaged groups in paediatric diabetes clinical trials, this study aimed to evaluate the socioeconomic representativeness of participants recruited into a multinational clinical trial in relation to regional and national type 1 diabetes reference populations.
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Effectiveness of a Predictive Algorithm in the Prevention of Exercise-Induced Hypoglycemia in Type 1 DiabetesThe aim of this study was to determine the efficacy of this algorithm in the prevention of exercise-induced hypoglycemia under in-clinic conditions
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Australasian Diabetes Data Network: Building a Collaborative ResourceA national collaboration was formed to provide longitudinal collection of T1D patient characteristics and outcomes, the Australasian Diabetes Data Network
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Feasibility of Outpatient 24-Hour Closed-Loop Insulin DeliveryThis study used a prototype algorithm to look at the feasibility of home use insulin pump hardware (MiniMed 670G) for improved insulin delivery.
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Multinodular goiter in children: An important pointer to a germline DICER1 mutationThis paper is a clinical report of a boy presenting with a kidney cyst. Family history and genetic analysis revealed the family had a mutation in the DICER1...
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Maternal and family factors and child eating pathology: Risk and protective relationshipsThis study aimed to identify maternal and family factors that may predict increases or decreases in child eating disorder symptoms over time, accounting for...
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Temporal Eating Patterns and Ultra-Processed Food Consumption Assessed from Mobile Food Records of Australian AdultsTemporal 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.
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Medication Use in Type 1 Diabetes and the Association with Socioeconomic Disadvantage: Analysis of a National Linked DatasetTo explore trends in the receipt of commonly prescribed medications (beyond insulin) in people with type 1 diabetes in Australia, including polypharmacy, and to investigate socioeconomic disparities across these trends.
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Collecting behavioural data across countries during pandemics: Development of the COVID-19 Risk Assessment ToolTools that can be used to collect behavioural data during pandemics are needed to inform policy and practice. The objective of this project was to develop the Your COVID-19 Risk tool in response to the global spread of COVID-19, aiming to promote health behaviour change. We developed an online resource based on key behavioural evidence-based risk factors related to contracting and spreading COVID-19. This tool allows for assessing risk and provides instant support to protect individuals from infection.