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Systematic review and meta-analysis of the prevention of internalizing disorders in early childhood

Internalizing problems comprise a significant amount of the mental health difficulties experienced during childhood. Implementing prevention programs during early childhood may prevent internalizing problems. The present systematic review and meta-analysis aimed to evaluate the effect of both targeted and universal prevention programs in preventing internalizing problems for children aged 3- to 5-years and their parents.

Protocol for a nested case-control study design for omics investigations in the Environmental Determinants of Islet Autoimmunity cohort

The Environmental Determinants of Islet Autoimmunity (ENDIA) pregnancy-birth cohort investigates the developmental origins of type 1 diabetes (T1D), with recruitment between 2013 and 2019. ENDIA is the first study in the world with comprehensive data and biospecimen collection during pregnancy, at birth and through childhood from at-risk children who have a first-degree relative with T1D.

Meningococcal Disease in the Post–COVID-19 Era: A Time to Prepare

The global invasive meningococcal disease (IMD) landscape changed considerably during the COVID-19 pandemic, as evidenced by decreased incidence rates due to COVID-19 mitigation measures, such as limited social contact, physical distancing, mask wearing, and hand washing. Vaccination rates were also lower during the pandemic relative to pre-pandemic levels.

Spatio-temporal mapping of stunting and wasting in Nigerian children: A bivariate mixture modeling

Studies have shown that stunting and wasting indicators are strongly correlated among children, with the potential of concurrently affecting their physical and cognitive development. However, the identification of subpopulations of children with varying risks of stunting and wasting could be valuable for targeted intervention.

The landscape of genomic structural variation in Indigenous Australians

Indigenous Australians harbour rich and unique genomic diversity. However, Aboriginal and Torres Strait Islander ancestries are historically under-represented in genomics research and almost completely missing from reference datasets. Addressing this representation gap is critical, both to advance our understanding of global human genomic diversity and as a prerequisite for ensuring equitable outcomes in genomic medicine.

Grandparents’ Experiences of Childhood Cancer: A Qualitative Study

A child's cancer diagnosis has a significant impact on the lives of grandparents. Grandparents experience the stress of worrying about both their adult children and their grandchildren. Our study aimed to explore the lived experience of grandparents of children diagnosed with cancer.

Minority stressors, traumatic events, and associations with mental health and school climate among gender and sexuality diverse young people in Australia: Findings from a nationally representative cohort study

Population-level, nationally representative data on the prevalence of minority stressors and traumatic events, mental ill-health effects, and the preventative utility of school climate, among gender and sexuality diverse young people in Australia, is significantly lacking.

A systematic review of chronobiology for neonatal care units: What we know and what we should consider

A Cochrane 2016 review indicated cycled light might benefit neonatal health in hospital. We systematically reviewed chronobiological factors for neonatal health in hospital units, identifying 56 relevant studies on light-dark cycles, feeding, noise, massage therapy, rooming-in, incubators vs. cribs, neonatal units vs. homes, and time-of-day of birth. Empirical evidence for benefits from chronobiology is weaker than expected, including light.

Comparison of new computational methods for spatial modelling of malaria

Geostatistical analysis of health data is increasingly used to model spatial variation in malaria prevalence, burden, and other metrics. Traditional inference methods for geostatistical modelling are notoriously computationally intensive, motivating the development of newer, approximate methods for geostatistical analysis or, more broadly, computational modelling of spatial processes.