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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.
A reliable and valid diagnostic classification system is pivotal for guiding clinical decision-making, facilitating rigorous and reproducible research findings, informing population-level health planning and resource allocation, and promoting well-being.
Characterised by varying degrees of difficulties in communication skills and social abilities, one in every 100 individuals will have a diagnosis of an autism spectrum condition. While autism is known to run in families, the exact causes remain unknown.
Australia’s first national guideline for supporting the learning, participation and wellbeing of autistic children and their families.
Early life nutrition is associated with child behaviour; however, the interplay with genetic vulnerability is understudied. We hypothesised that psychiatric genetic risk interacted with early nutrition to predict behavioural problems in childhood and adolescence.
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.
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.
Our previous cross-sectional investigation (Chetcuti et al., 2020) showed that infants with autism traits could be divided into distinct subgroups based on temperament. This longitudinal study builds on this existing work by exploring the continuity of temperament subgroup classifications and their associations with behavioral/clinical phenotypic features from infancy to toddlerhood.
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.
A diagnosis of an autism spectrum condition (autism) provides limited information regarding an individual’s level of functioning, information key in determining support and funding needs.