Skip to content

Search

Breastfeeding patterns and total volume of human milk consumed influence the development of the infant oral microbiome

The oral microbiome of breastfed infants is distinct from that of formula-fed infants. However, breastfeeding characteristics, such as time spent breastfeeding (min/24 h), breastfeeding frequency (number of breastfeeds per day), and human milk intake (ml/day) vary significantly between breastfeeding dyads.

Pregnancy with multiple high-risk factors: a systematic review and meta-analysis

A wide spectrum of high-risk factors in pregnancy can lead to adverse pregnancy outcomes or short- or long-term health effects. Despite this, there has been no synthesis of findings on the measurement, potential causes, and health outcomes of multiple high-risk factors in pregnancy. We aimed to address this gap by summarising the existing research on this topic.

Physical activity behaviors in trans and gender diverse adults: a scoping review

There is currently limited data regarding the physical activity behaviors of trans and gender diverse people (including binary and non-binary identities; henceforth trans). The aim of this review was to synthesize the existing literature in this area, with a focus on physical activity behaviors as they relate to health (e.g. health benefits, risks of adverse health outcomes). 

The parent empowerment scale: development and psychometric properties

Parents of trans and gender diverse (herein ‘trans’) children experience additional challenges in their parenting role relative to parents of cisgender children. Understanding and enhancing parents’ empowerment is a promising approach to support both parents and children. We aimed to develop an empowerment scale specific to parents of trans children, grounded in parents’ lived experiences. 

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.

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.

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