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Understanding wellbeing from the perspective of youth with chronic conditions: A group concept mapping approach

Promoting wellbeing for youth is a global health priority and young people with chronic conditions demonstrate disproportionately low wellbeing compared to their peers. However, wellbeing is variably defined, and little is understood as to what wellbeing means for this population. The aim of this study was to develop a conceptualisation of wellbeing that is rooted in the perspectives of young people with chronic conditions. 

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.

Empowering quality education through sustainable and equitable electricity access in African schools

Although most people born this century will be educated in African schools, these schools often lack basic infrastructure, such as electricity and/or lighting. In the face of a rapidly growing school-age population in Africa, the electrification of educational facilities is not just an infrastructural challenge but also a pivotal investment in the continent’s future workforce.

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

Impact of Parent-Reported Antibiotic Allergies on Pediatric Antimicrobial Stewardship Programs

Antimicrobial stewardship (AMS) is crucial for optimizing antimicrobial use and restraining emergence of antimicrobial resistance. The overall increase in reported antibiotic allergies in children can pose a significant barrier to AMS, but its impact on clinical AMS care in children has not been addressed.

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.

Developmental queer and trans actualizations: A clear pathway to promoting health and well-being for sexually and gender diverse youth

Minority stress models and trauma-focused approaches have predominated our understanding and responses to health disparities among sexually and gender diverse (SGD) young people for more than 30 years. While the impacts and root causes of adversities are undoubtedly critical for promoting SGD health and well-being, it is important to highlight strengths-based narratives of the lives of SGD youth.

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