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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.
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.
The past three decades have seen a major shift in our understanding of the strong links between autism and identity. These developments have called for careful consideration of the language used to describe autism.
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.
Parents are often expected to be the primary implementers of intervention for their young children with autism spectrum disorder (ASD). The provision of a few hours a week of intervention by a trained therapist, in addition to parent-implemented intervention, could increase child outcomes compared to parent-implemented intervention in isolation.
The breadth of available non-pharmacological interventions for autistic children, with varying evidence for efficacy summarised in multiple systematic reviews, creates challenges for parents, practitioners, and policymakers in navigating the research evidence. In this article, we report the findings of an umbrella review of 58 systematic reviews of non-pharmacological interventions for autistic children (aged 0–12 years).
Once upon a time it was infectious diseases like polio, measles or tuberculosis that most worried parents. With these threats now largely under control, parents face a new challenge – sky-rocketing rates of non-infectious diseases such as asthma, allergies and autism.
Chloe recently decided to bake cupcakes to sell to her school friends and teachers and it was all for a cause very close to her heart - autism research.
Can you see signs of autism in a child's facial features? Telethon Kids researchers have acquired new face scanning technology to help answer this question.
Focussing attention on a child’s first year of life is proving to be a major breakthrough in autism research.