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Showing results for "autism"
Data linkage is the bringing together of specific datasets from different sources using demographic information on individuals within a population.
Findings show that indicators of a poor intrauterine environment are associated with an elevated risk of ID, while for ASD, and particularly ASD without ID,...
An existing randomised controlled trial was used to investigate whether multiple ultrasound scans may be associated with the autism phenotype.
Rates of diagnosis of autism have risen since 1980, raising the question of whether some children who previously had other diagnoses are now being diagnosed...
While parenting self-efficacy and broader autism phenotype (BAP) have been linked to caregiver depression, anxiety and stress at specific points in time, their influence on longer-term mental health trajectories remains unknown, especially for caregivers who participate in support programs for their infants with very-early autistic features.
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.
Gail Andrew Videos Alvares Whitehouse Watch and listen to Andrew PhD PhD Principal Research Fellow Deputy Director (Research); Angela Wright Bennett
A comparison of parents’ experiences of getting a diagnosis for their child with autism, attention deficit hyperactivity disorder (ADHD) and both diagnoses can inform our understanding of common and unique themes across these neurodevelopmental conditions.
Young children diagnosed with autism experience high rates of co-occurring anxiety, with uncertainty-related concerns commonly reported. This randomized controlled trial investigated an 8-week parent-mediated group anxiety intervention, “Coping with Uncertainty in Everyday Situations” (CUES-Junior©).
The heterogeneity of autism spectrum disorder clinically and aetiologically hinders intervention matching and prediction of outcomes. This study investigated if the behavioural, sensory, and perinatal factor profiles of autistic children could be used to identify distinct subgroups. Participants on the autism spectrum aged 2 to 17 years and their families were sourced via the Australian Autism Biobank.