Search
The autistic and autism communities have identified improving the quality of life and well-being of autistic people as a key priority. Despite this, to date, there are no evidence-based supports for autistic children which specifically focus on improvements in these areas.
LiL' STEPS (Language development & Intervention Lab's SupporTing Early social-communication and language by Promoting caregiver Sensitive responsiveness) is a novel, manualized, caregiver-mediated early support program developed in India and delivered online for infants at elevated familial likelihood for autism. The program has been found to be feasible and acceptable. The preliminary efficacy of the LiL' STEPS program, which remains to be evaluated, was assessed in this study using a feasibility randomized controlled trial design.
Evidence suggests that the earlier supports are provided to young Autistic children, the better the overall outcomes. Supports have typically only been available after an autism diagnosis but with increased knowledge about early developmental trajectories, clinical supports can now be offered prediagnosis for infants showing early autism features and/or those with a family history of autism.
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.
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©).
Little is known about how or when language and visuospatial processing lateralise in the brain, and if individual differences in lateralisation are related to early language or visuospatial abilities. We explored if patterns of language and visuospatial lateralisation are related to cognitive skills in young children.
A comprehensive understanding of specific factors contributing to variability in responsiveness of children with autism to interventions is paramount for making evidence-based clinical and policy decisions. This meta-analysis examined child and family characteristics, as well as intervention design factors, associated with outcomes of behavioral interventions for children with autism.
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.
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.
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.