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Session Rating of Perceived Exertion Is a Valid Method to Monitor Intensity of Exercise in Adults with Acute Burn Injuries

Measuring exercise intensity for safety and to inform prescription in acute burn survivors, is challenging. This study aimed to assess the validity of adult patient end-of-workout rating of session perceived exertion (sRPE); and calculated training load (TL) (sRPE × session duration) as measures of exercise intensity. Secondly, the study aimed to compare clinician and patient perception of exercise effort during physiotherapist-led sessions.

Social Support Buffers the Association Between Alcohol Use and Depression in Australian Men

Alcohol use and depression are known correlates of one another, especially in men, and are influenced by a range of demographic and psychosocial factors. This study examined the association between alcohol use and depressive symptoms in a large representative cohort of Australian men. We also tested whether this association differed by men's age, household income, social support, illicit drug use and help-seeking.

Machine learning techniques to predict diabetic ketoacidosis and HbA1c above 7% among individuals with type 1 diabetes — A large multi-centre study in Australia and New Zealand

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 %.

Corrigendum to “A Phase III, multicenter, randomized, double-blind, active comparator-controlled study to evaluate the safety, tolerability, and immunogenicity of V114 compared

Peter Richmond MBBS MRCP(UK) FRACP Head, Vaccine Trials Group Head, Vaccine Trials Group Professor Peter Richmond is Head of the Vaccine Trials Group

Parental work schedules and hours from a cross-national perspective: a welfare regime analysis on 29 countries

Technological advances have transformed when and for how long individuals work, a process associated with increasing polarization and precarity. Using the European Working Conditions Survey (2005-2015), we examined parental work schedules and hours across welfare regimes covering 29 European countries.

Feasibility of home-based urine collection in children under 5 years in the ORIGINS birth cohort study: mixed method protocol and sample completion results

Urine is an attractive biospecimen for nutritional status and population health surveys. It is an excellent non-invasive alternative to blood for appropriate biomarkers in young children and is suitable for home-based collection, enabling representative collections across a population. However, the bulk of literature in this population is restricted to collection in primary care settings.

Changing rules, recommendations, and risks: COVID-19 vaccination decisions and emotions during pregnancy

As COVID-19 vaccinations rolled out globally from late 2020, rules and recommendations regarding vaccine use in pregnancy shifted rapidly. Pre-registration COVID-19 vaccine trials excluded those who were pregnant. Initial Australian medical advice did not routinely recommend COVID-19 vaccines in pregnancy, due to limited safety data and little perceived risk of local transmission.

Applying causal inference and Bayesian statistics to understanding vaccine safety signals using a simulation study

Community perception of vaccine safety influences vaccine uptake. Our objective was to assess current vaccine safety monitoring by examining factors that may influence the availability of post-vaccination survey data, and thereby the specificity and sensitivity of existing signal detection methods.

Examining Changes in Implementation of Priority Healthy Eating and Physical Activity Practices, and Related Barriers, Over Time in Australian Early Childhood Education and Care Services

Promoting healthy eating and physical activity in early childhood education and care is recommended within guidelines and supported by health promotion programs; however, implementation is suboptimal. Evidence suggests implementation within the sector varies over time; however, this has not been empirically examined in relation to implementation barriers. 

Mining single-cell data for cell type-disease associations

A robust understanding of the cellular mechanisms underlying diseases sets the foundation for the effective design of drugs and other interventions. The wealth of existing single-cell atlases offers the opportunity to uncover high-resolution information on expression patterns across various cell types and