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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.
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.
With increasing demands for health, disability and education services, innovative approaches can help distribute limited resources according to need. Despite an increased focus on support needs within the clinical pathway and policy landscape, the body of research knowledge on this topic is at a relatively early stage. However, there appears to be a sense of unmet support needs and dissatisfaction with the provision of required support following an autism diagnosis amongst caregivers of young people on the spectrum.
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.
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.
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.
Anxiety is a leading mental health concern in childhood. Whilst a range of therapeutic approaches effectively reduce anxiety in young children, several barriers impact their implementation into practice. Digital interventions could help overcome some of these challenges; however, whether these can effectively target anxiety for children with and without Neurodevelopmental Conditions is unknown.
Access to behavioural sleep intervention is beneficial for autistic children, yet many families face barriers to access associated with location and time. Preliminary evidence supports telehealth-delivered sleep intervention. However, no studies have evaluated brief telehealth sleep intervention.
Masculine norms influence internalizing problems in men. The processes that explain this association are not yet comprehensively understood. However, there exists a compelling argument to highlight the role of emotional functioning in explaining how conformity to the traditional Western conceptualization of masculine norms confers risk for internalizing problems.
The Sibling Project focuses on children, adolescents and emerging adults who have a sibling with a disability, investigating their mental health, relationships and quality of life.