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To evaluate the participation difficulties experienced by children with developmental coordination disorder in home, school, and community environments.
Birth order effects have been linked to variability in intelligence, educational attainment and sexual orientation. First- and later-born children have been linked to an increased likelihood of an Autism Spectrum Disorder (ASD) diagnosis, with a smaller body of evidence implicating decreases in cognitive functioning with increased birth order. The present study investigated the potential association between birth order and ASD diagnostic phenotypes in a large and representative population sample.
Melissa Andrew Gail Jenny Videos Licari Whitehouse Watch and listen to Andrew Alvares Downs PhD PhD PhD BApplSci (physio) MSc PhD Senior Research
Social media allows users to connect with others’ experiences and points of view, with TikTok being the fastest-growing platform worldwide. Highly viewed videos related to neurodiversity on TikTok have an increasing role in understanding and acceptance of neurodivergent individuals.
Children with neurodevelopmental disorders often experience difficulties in acquiring and executing movement skills. Although the motor profiles of neurodivergent children frequently overlap, rigid conceptual distinctions between diagnostic labels have been imposed by traditional categorical approaches to taxonomy. An alternative transdiagnostic approach is proposed to better represent the similarities between presentations.
Professor Andrew Whitehouse tells how Australia’s first national guideline for the diagnosis of autism spectrum disorder is going to transform the way the condition is assessed and managed, vastly improving the experience for families.
To identify factors associated with quality of life (QoL) in children with intellectual disability. We aimed to identify patterns of association not observable in previous hypothesis-driven regression modelling using the same data set from a cross-sectional observational study.
The growing global prevalence of autism spectrum disorder is associated with increasing costs for support services. Ascertaining the effects of a successful preemptive intervention for infants showing early behavioral signs of autism on human services budgets is highly policy relevant.
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.
With increasing demands for health, disability and education services, innovative approaches can help distribute limited resources according to need. Despite an increased focus on support needs within the clinical pathway and policy landscape, the body of research knowledge on this topic is at a relatively early stage. However, there appears to be a sense of unmet support needs and dissatisfaction with the provision of required support following an autism diagnosis amongst caregivers of young people on the spectrum.