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Congratulations to Professor Andrew Whitehouse on being named a finalist in the prestigious Premier’s Science Awards.
Many clinicians in New Zealand do not follow guidelines for best practice in autism diagnosis. In this study, we investigated the processes that health professionals in New Zealand follow when diagnosing autistic children and adults. We asked 117 health professionals from a range of services and regions in New Zealand, how they identify and diagnose autism.
Traits and characteristics qualitatively similar to those seen in diagnosed autism spectrum disorder can be found to varying degrees in the general population. To measure these traits and facilitate their use in autism research, several questionnaires have been developed that provide broad measures of autistic traits [e.g. Autism-Spectrum Quotient (AQ), Broad Autism Phenotype Questionnaire (BAPQ)]. However, since their development, our understanding of autism has grown considerably, and it is arguable that existing measures do not provide an ideal representation of the trait dimensions currently associated with autism. Our aim was to create a new measure of autistic traits that reflects our current understanding of autism, the Comprehensive Autism Trait Inventory (CATI).
Several studies have explored relationships between parent broader autism phenotype and offspring communication, and have reported that autistic-like traits in parents are related to offspring communication difficulties and autism severity. However, past research has focused on studying such associations in childhood and we know very little about them in infancy. With accumulating evidence that interventions administered during infancy may be most effective in reducing ASD symptoms, it is imperative to examine whether relationships between parent autistic-like traits and child communication appear even earlier during this critical period of life.
Recent research highlights an overlap of gender diversity and autism spectrum disorders (ASD); however, data on individuals who are trans and also on the autism spectrum are largely from clinical samples and may not be representative of individuals who are trans with ASD in the general population. In addition, there is scant literature on the mental health of these individuals and their experiences in accessing gender-affirming care.
Autism spectrum disorder (ASD) is a complex neurodevelopmental condition whose biological basis is yet to be elucidated. The Australian Autism Biobank (AAB) is an initiative of the Cooperative Research Centre for Living with Autism (Autism CRC) to establish an Australian resource of biospecimens, phenotypes and genomic data for research on autism.
To explore the factors influencing the uptake of cochlear implants in adults, determine the impact of each factor, and to conceptualize the journey to implantation from a multistakeholder perspective. Concept mapping was used to integrate input from multiple stakeholders, each with their own experience and expertise.
Developmental language disorder (DLD) is one of the most common neurodevelopmental conditions. Due to variable rates of language growth in children under 5 years, the early identification of children with DLD is challenging. Early indicators are often outlined by speech pathology regulatory bodies and other developmental services as evidence to empower caregivers in the early identification of DLD.
Early parent-child interactions have a critical impact on the developmental outcomes of the child. It has been reported that infants with a family history of autism and their parents may engage in different patterns of behaviours during interaction compared to those without a family history of autism. This study investigated the association of parent-child interactions with child developmental outcomes of those with typical and elevated likelihood of autism.
Handedness has been studied for association with language-related disorders because of its link with language hemispheric dominance. No clear pattern has emerged, possibly because of small samples, publication bias, and heterogeneous criteria across studies.