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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.
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.
Individuals exhibiting pronounced autistic traits (e.g., social differences and specialised interests) may struggle with cognitive empathy (i.e., the ability to infer others' emotions), although the relationship with affective empathy (i.e., the ability to share others' emotions) is less clear in that higher levels of autistic traits may be linked with increased affective empathy for negative emotions but reduced affective empathy for positive emotions. The current study investigates this empathy profile and whether alexithymia and emotion dysregulation help to explain it.
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.
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.
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.
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.
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.
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.