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Showing results for "autism"
A co-designed digital tool to address anxiety concerns for children on the autism spectrum is set to be developed and trialled in Western Australia.
Past research has highlighted the importance of early identification of developmental differences to improve targeted access to early interventions or supports. As such, it is of particular importance in the context of children at elevated likelihood of autism (such as where an older sibling has a diagnosis of autism), to better understand when and which early concerns are important as predictors of which children will benefit from pre-diagnostic supports.
The identification of reproducible subtypes within autistic populations is a priority research area in the context of neurodevelopment, to pave the way for identification of biomarkers and targeted treatment recommendations. Few previous studies have considered medical comorbidity alongside behavioural, cognitive, and psychiatric data in subgrouping analyses.
This study examined whether parent-reported atypical development in their child's first year was associated with age of diagnosis and age when parents first needed to consult a specialist about their child's development.
Mothers with asthma or atopy have a higher likelihood of having autistic children, with maternal immune activation in pregnancy implicated as a mechanism. This study aimed to determine, in a prospective cohort of mothers with asthma and their infants, whether inflammatory gene expression in pregnancy is associated with likelihood of future autism.
Access to behavioural sleep intervention is beneficial for autistic children, yet many families face barriers to access associated with location and time. Preliminary evidence supports telehealth-delivered sleep intervention. However, no studies have evaluated brief telehealth sleep intervention.
The broadening of the clinical definition of autism over time-the so-called, autism spectrum-has run in parallel with the growth of a neurodiversity movement that has reframed the concept of autism entirely. Without a coherent and evidence-based framework through which both of these advances can be situated, the field is at risk of losing definition altogether.
Natural Language Sampling (NLS) offers clear potential for communication and language assessment, where other data might be difficult to interpret. We leveraged existing primary data for 18-month-olds showing early signs of autism, to examine the reliability and concurrent construct validity of NLS-derived measures coded from video-of child language, parent linguistic input, and dyadic balance of communicative interaction-against standardised assessment scores. Using Systematic Analysis of Language Transcripts (SALT) software and coding conventions, masked coders achieved good-to-excellent inter-rater agreement across all measures.
Parents are often expected to be the primary implementers of intervention for their young children with autism spectrum disorder (ASD). The provision of a few hours a week of intervention by a trained therapist, in addition to parent-implemented intervention, could increase child outcomes compared to parent-implemented intervention in isolation.
Early identification and intervention are recognised as important elements of the clinical pathway for autism spectrum disorder (ASD). Children with ASD and attention deficit hyperactivity disorder (ADHD) may be diagnosed at a different age than children who only have one of these diagnoses.