Autism
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Intolerance of uncertainty underlies demand avoidance behaviours in children
Researchers in Newcastle have conducted one of the first studies to conceptualise and understand the behavioural features of the pathological demand avoidance (PDA) profile — a proposed subtype of autism spectrum disorder (ASD) — in children and young people.
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Parental consanguinity predicts ASD severity
Parental consanguinity could predict ASD severity in this study after controlling for the effects of maternal health and developmental indicators.
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Connecting the senses: an area of difficulty in infants later diagnosed with autism?
Autism Spectrum Disorder, or autism for short, can be diagnosed from around 2-3 years in most cases (although in practice, it is often done much later – for various reasons). It is a neurodevelopmental condition, meaning that in order to understand it we need to understand the underlying developmental processes, in both brain and behaviour.
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Dysregulation profile risk may be identified in infancy
The “dysregulation profile” (DP) describes a child psychopathology construct that measures broad-based, generalised emotional and behavioural dysregulation using the Child Behaviour Checklist
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Children with ASD at heightened risk for maltreatment
A study conducted by researchers at the University of South Carolina is the first to provide empirical evidence from population-level data that maltreatment is elevated in children with autism spectrum disorder (ASD) relative to the general population.
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The importance of identifying an Intellectual Disability/Learning Disability for the individual, parents/carers and from a service/policy perspective
The importance of identifying an Intellectual Disability/Learning Disability for the individual, parents/carers and from a service/policy perspective.
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Autism and Attachment: A Need for Conceptual Clarity
What do we mean by ‘attachment disorders’? Is there a meaningful distinction between these disorders and ‘attachment difficulties’? And where is the overlap with autism?
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Children with ASD show intact statistical word learning
Children with autism spectrum disorder (ASD) and specific language impairment (SLI) exhibit word-learning difficulties early in childhood development.
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Machine learning improves ADI-R efficiency
Early interventions in autism spectrum disorder (ASD) are essential to improve communication and behavioural skills in affected children. Now, researchers have used machine learning to derive new instrument algorithms that may help practitioners screen for autism more efficiently and effectively.
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Just one of the challenges for paediatricians
Before getting involved with ACAMH Max said he was wary of joining a “talking shop” but saw immediately that the organisation was active in engaging the broader mental health community.
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