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Showing results for "early lung health"
A pre-emptive intervention for the autism spectrum disorder prodrome had no immediate treatment effect on early autism spectrum disorder symptoms
This paper offers a rare opportunity to longitudinally examine mental health in a population-representative study of children aged 4-5 years to 14-15 years
In Western countries, Asian children have higher food allergy risk than Caucasian children. The early-life environmental exposures for this discrepancy are unclear. We aimed to compare prevalence of food allergy and associated risk factors between Asian children in Singapore and Australia.
Aveni Liz Haynes Davis BA (Hons), MBBChir, MA (Cantab), PhD MBBS FRACP PhD Principal Research Fellow Co-director of Children’s Diabetes Centre
At the end of a 60-day course of narrowband UVB phototherapy, administered to individuals with early multiple sclerosis, there were changes in the relative proportions of circulating B-cell subsets. This study investigated phototherapy-associated changes to cytokine responses of B cells when exposed to a TLR7 ligand.
Australia is the only developed country to consistently undertake a developmental census of its children nationwide. The repeated collection of the Australian Early Development Census (AEDC) has provided an unprecedented opportunity to examine the prevalence of developmental vulnerability across Australia's states and territories, the socio-economic distribution of developmental vulnerability across jurisdictions, and how these distributions might have changed over time.
We discuss the implications of addressing Revenge and Recreation, as well as Reward and Rage aggression motives, for bullying prevention and intervention strategies
Continuous glucose monitoring (CGM) can detect early dysglycemia in older children and adults with presymptomatic type 1 diabetes and predict risk of progression to clinical onset. However, CGM data for very young children at greatest risk of disease progression are lacking.
Children who attended playgroup had better development at school entry relative to those who had not attended playgroup
The current study provides preliminary evidence that machine learning algorithms provide equivalent predictive accuracy to traditional methods for language difficulties in middle childhood