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We performed a genome-wide association meta-analysis of 290,134 attention-deficit/hyperactivity disorder symptom measures of 70,953 unique individuals from multiple raters, ages and instruments.
Alexithymia is characterised by difficulties identifying and describing feelings, as well as a lack of focus on feelings. Alexithymia is a transdiagnostic risk factor for developing a wide array of psychopathologies, such as anxiety and depression, with a key hypothesised mechanism being the impairing impact of alexithymia on emotion regulation competency. However, no study has tested whether difficulties with emotion regulation mediate the link between alexithymia and psychopathological symptoms using longitudinal designs.
Autism omics research has historically been reductionist and diagnosis centric, with little attention paid to common co-occurring conditions (for example, sleep and feeding disorders) and the complex interplay between molecular profiles and neurodevelopment, genetics, environmental factors and health. Here we explored the plasma lipidome in 765 children (485 diagnosed with autism spectrum disorder (ASD)) within the Australian Autism Biobank.
Developmental Coordination Disorder (DCD) is a neurodevelopmental condition impacting motor skill acquisition and competence. While previous studies have identified adverse psychosocial outcomes in DCD, they are limited by small or population-screened, community-based samples.
Recent studies have reported that strengths-based programs, leveraging autistic adolescents' abilities and interests, could improve their skills and facilitate social engagement. However, little is known about the long-term impact of strengths-based approaches. This study aimed to explore the long-term outcomes of community strengths-based programs designed to support autistic adolescents in developing interests and skills in Science, Technology, Engineering, Arts, and Mathematics (STEAM) and the factors influencing their participation in these programs.
To identify factors associated with quality of life (QoL) in children with intellectual disability. We aimed to identify patterns of association not observable in previous hypothesis-driven regression modelling using the same data set from a cross-sectional observational study.
This study aimed to explore the rates of motor difficulties in children from the Australian Autism Biobank, and how early motor concerns impacted on children functionally.
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.
Prenatal depressive symptoms are linked to negative child behavioral and cognitive outcomes and predict later psychopathology in adolescent children. Prior work links prenatal depressive symptoms to child brain structure in regions like the amygdala; however, the relationship between symptoms and the development of brain structure over time remains unclear.
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.