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Loneliness and Emotional and Externalizing Problems in Early Adolescence: Moderating and Mediating Effects of Coping Skills

Loneliness is an unavoidable facet of human existence. When chronic and intense, adolescent loneliness is associated with maladjustment over time. A prospective multiple-cohort study examined the links between child-reported loneliness and coping skills and parent-rated child mental health in early adolescence, with a total of 266 students from 75 primary and 152 secondary schools.

IDH mutant high-grade gliomas

Gliomas are the most common type of malignant primary central nervous system (CNS) tumors, resulting in significant morbidity and mortality in children and adolescent and young adult (AYA) patients. The discovery of mutations in isocitrate dehydrogenase (IDH) genes has dramatically changed the classification and understanding of gliomas.  IDH mutant gliomas have distinct clinical, pathological, and molecular features including a favorable prognosis and response to therapy compared to their wildtype counterparts.

Screening Measures of Perinatal Mental Health and Wellbeing in Fathers: A Scoping Review

Accurately screening fathers for perinatal mental health problems requires well-validated screening instruments that assess the expression of paternal perinatal mental distress. This study aimed to identify and describe the psychometric properties of perinatal mental health screening instruments administered to paternal cohorts within the past two decades. 

Accuracy of a 2-minute eye-tracking assessment to differentiate young children with and without autism

Eye-tracking could expedite autism identification/diagnosis through standardisation and objectivity. We tested whether Gazefinder autism assessment, with Classification Algorithm derived from gaze fixation durations, would have good accuracy (area under the curve [AUC] ≥ 0.80) to differentiate 2-4-year-old autistic from non-autistic children.

Exercise training to address lifelong consequences of preterm birth: a survey of perceived needs

The identification of a COPD etiotype associated with preterm birth (COPD-developmental) has expedited calls for intervention strategies that may improve health outcomes for survivors of preterm birth (<37 weeks' gestation). Pulmonary-rehabilitation style training interventions achieve physiological and symptom improvement in older people with COPD, but whether similar training interventions are suitable for young people is unclear. We sought to understand the perceived need and requirements of an exercise training intervention for children, adolescents and adults born preterm.

Psychometric evaluation of the Comprehensive Autistic Trait Inventory in autistic and non-autistic adults

Measures of autistic traits are only useful – for pre-diagnostic screening, exploring individual differences, and gaining personal insight – if they efficiently and accurately assess autism as currently conceptualised while maintaining psychometric validity across different demographic groups. We recruited 1322 autistic and 1279 non-autistic adults who varied in autism status (non-autistic, diagnosed autistic, self-identifying autistic) and gender (cisgender men, cisgender women, gender diverse) to assess the psychometric properties of the Comprehensive Autistic Trait Inventory, a recently developed measure of autistic traits that examines six trait domains using 42 self-report statements.

Quicker team launch times for urgent priority neonatal retrievals: A Quality Improvement Initiative study

Neonatal retrieval networks have adopted time-centric quality metrics as Key Performance Indicators (KPI) for setting and comparing benchmarking standards. Quicker launch time (departure from base), an essential KPI, enables neonatal retrieval teams to rapidly provide higher-level care to sick infants. The Newborn Emergency Transport Services of Western Australia (NETS WA) facilitates neonatal transfers across largest global retrieval area necessitating quicker team launch times for urgent retrievals. NETS WA conducted a quality improvement (QI) study to quicken team launch times for urgent retrievals.

Realising the potential impact of artificial intelligence for rare diseases – A framework

Rare diseases (RD) are conditions affecting fewer than 1 in 2000 persons, with over 7000 largely genetic RDs affecting 3.5 %-5.9 % of the global population, or approximately 262.9–446.2 million people. The substantial healthcare burden and costs, such as the $1 trillion annual expense in the USA, highlight the urgent need for improved RD management. The International Rare Diseases Research Consortium (IRDiRC) addresses this need through global collaboration, aiming for timely and accurate diagnosis, development of 1000 new therapies, and methodologies to measure impact by 2027.

The usability and feasibility of a self-compassion chatbot (COMPASS) for youth living with type 1 diabetes

Although it is well established that youth with type 1 Diabetes (T1D) experience high rates of distress, current clinical care is often under-resourced and unable to provide sufficient or timely psychological support. The current study was designed to evaluate the safety, usability and feasibility of 'COMPASS,' a self-compassion chatbot intervention. 

Predicting regional and temporal incidence of RSV and influenza hospitalizations in a birth cohort of young Australian children

Western Australia experiences multiple climatic zones, influencing the epidemiology of respiratory viruses. We aimed to estimate the true incidence of respiratory syncytial virus and influenza hospitalizations across these different climatic regions using predictive modelling.