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Mental health and behavioural problems in adolescents conceived after ARTSTUDY QUESTION: Does mental health and behaviour differ between those conceived with and those conceived without ART? SUMMARY ANSWER: Our study observed less externalizing behaviour (delinquent/aggressive), and more parent-reported internalizing behaviour, as well as more (clinical) depression at age 14 years, in adolescents conceived after ART compared to their non-ART counterparts.
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School staff responses to student reports of bullying: A scoping reviewBullying in schools has been associated with poor academic and mental health outcomes in students. While students are often encouraged to report bullying incidents to school staff, some students avoid reporting incidents as they lack faith in staff members ability to intervene.
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Reproducibility of plasma glucose responses to moderate-intensity exercise in individuals with type 1 diabetesTo examine the within-person variability in plasma glucose responses to moderate-intensity morning exercise in young individuals with type 1 diabetes after overnight fasting and under basal insulin conditions.
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Reopening to the world: how safety, normality and trust in government shape young adults’ COVID-19 vaccine intentionsDuring the COVID-19 pandemic, and particularly 2020-2021, young adults were often significant transmitters of the virus. Prior to the availability of vaccines for young adults, we sought to understand what would contribute to their uptake of a COVID-19 vaccine and how government policy might intervene. We undertook qualitative interviews between February and April 2021 with 19 participants (aged 18-29) in Perth, Western Australia.
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“Coronavirus Changed the Rules on Everything”: Parent Perspectives on How the COVID‐19 Pandemic Influenced Family Routines, Relationships and Technology Use in Families with InfantsThis study explores how the first wave of the COVID‐19 pandemic influenced family routines, relationships and technology use (smartphones and tablet computers) among families with infants. Infancy is known to be an important period for attachment security and future child development, and a time of being susceptible to changes within and outside of the family unit.
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Consensus guidelines for antifungal stewardship, surveillance and infection prevention, 2021Invasive fungal diseases (IFD) are serious infections associated with high mortality, particularly in immunocompromised patients. The prescribing of antifungal agents to prevent and treat IFD is associated with substantial economic burden on the health system, high rates of adverse drug reactions, significant drug-drug interactions and the emergence of antifungal resistance.
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Does a major change to a COVID-19 vaccine program alter vaccine intention? A qualitative investigationOn 8th April 2021, the Australian Technical Advisory Group on Immunisation (ATAGI) made the Pfizer-BioNtech (Comirnaty) vaccine the “preferred” vaccine for adults in Australia aged < 50 years due to a risk of thrombosis with thrombocytopenia syndrome (TTS) following AstraZeneca vaccination. We sought to understand whether this impacted COVID-19 vaccine intentions.
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Caregiver Psychological Distress Predicts Temperament and Social-Emotional Outcomes in Infants with Autism TraitsChild temperament and caregiver psychological distress have been independently associated with social-emotional difficulties among individuals with autism. However, the interrelationship among these risk factors has rarely been investigated.
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Viral Induced Effects on a Vulnerable Epithelium; Lessons Learned From Paediatric Asthma and Eosinophilic OesophagitisThe epithelium is integral to the protection of many different biological systems and for the maintenance of biochemical homeostasis. Emerging evidence suggests that particular children have epithelial vulnerabilities leading to dysregulated barrier function and integrity, that resultantly contributes to disease pathogenesis.
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Emulator-based Bayesian optimization for efficient multi-objective calibration of an individual-based model of malariaIndividual-based models have become important tools in the global battle against infectious diseases, yet model complexity can make calibration to biological and epidemiological data challenging. We propose using a Bayesian optimization framework employing Gaussian process or machine learning emulator functions to calibrate a complex malaria transmission simulator.