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Recent studies have reported that strengths-based programs, leveraging autistic adolescents' abilities and interests, could improve their skills and facilitate social engagement. However, little is known about the long-term impact of strengths-based approaches. This study aimed to explore the long-term outcomes of community strengths-based programs designed to support autistic adolescents in developing interests and skills in Science, Technology, Engineering, Arts, and Mathematics (STEAM) and the factors influencing their participation in these programs.
Anxiety commonly co-occurs in autism. Exploring and understanding potential underpinning mechanisms contributing to and maintaining anxiety in the early years is important in managing anxiety. Intolerance of uncertainty (IU), a tendency to find uncertainty difficult, is a transdiagnostic mechanism contributing to anxiety, but little is known about how IU may be experienced in young children on the autism spectrum. This study investigated parental perspectives of children's experiences of uncertainty.
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.
There is emerging evidence that LEGO® therapy is an effective way of supporting younger autistic children develop their communication and social skills. LEGO® robotics therapy - which uses the principles of LEGO® therapy applied to LEGO® robotics - may be an age-appropriate intervention to reduce anxiety and increase social skills in autistic adolescents.
Brain development during the preschool period is complex and extensive and underlies ongoing behavioral and cognitive maturation. Increasing understanding of typical brain maturation during this time is critical to early identification of atypical development and could inform treatments and interventions.
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.
To compare quality of life (QOL) across diagnoses associated with intellectual disability, construct QOL profiles and evaluate membership by diagnostic group, function and comorbidities.
We tested the potential for Gazefinder eye-tracking to support early autism identification, including feasible use with infants, and preliminary concurrent validity of trial-level gaze data against clinical assessment scores. We embedded the ~ 2-min 'Scene 1S4' protocol within a comprehensive clinical assessment for 54 consecutively-referred, clinically-indicated infants (prematurity-corrected age 9-14 months).
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.
Substantial genetic correlations have been reported across psychiatric disorders and numerous cross-disorder genetic variants have been detected. To identify the genetic variants underlying general psychopathology in childhood, we performed a genome-wide association study using a total psychiatric problem score.