Search
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.
Early life nutrition is associated with child behaviour; however, the interplay with genetic vulnerability is understudied. We hypothesised that psychiatric genetic risk interacted with early nutrition to predict behavioural problems in childhood and adolescence.
While parenting self-efficacy and broader autism phenotype (BAP) have been linked to caregiver depression, anxiety and stress at specific points in time, their influence on longer-term mental health trajectories remains unknown, especially for caregivers who participate in support programs for their infants with very-early autistic features.
There is emerging evidence that LEGO® therapy is an effective way of supporting younger autistic children develop their communication and social skills. LEGO® robotics therapy - which uses the principles of LEGO® therapy applied to LEGO® robotics - may be an age-appropriate intervention to reduce anxiety and increase social skills in autistic adolescents.
Most support programmes for Autistic children are available only after they are diagnosed. Research suggests that parenting supports may be helpful for parents and their infants, when provided in the first 2 years of life - before a formal diagnosis is given, but when information suggests an infant is more likely to be Autistic. However, we do not know how acceptable these types of supports might be to the Autistic and autism communities.
Clinical decision support systems (CDSS) are increasingly utilised within healthcare settings to enhance decision making. However, few studies have investigated their application in the context of clinical services for autistic people, with no research to date exploring the perspectives of the key stakeholders who are, or in the future may be, impacted by their use.
A reliable and valid diagnostic classification system is pivotal for guiding clinical decision-making, facilitating rigorous and reproducible research findings, informing population-level health planning and resource allocation, and promoting well-being.
LiL' STEPS (Language development & Intervention Lab's SupporTing Early social-communication and language by Promoting caregiver Sensitive responsiveness) is a novel, manualized, caregiver-mediated early support program developed in India and delivered online for infants at elevated familial likelihood for autism. The program has been found to be feasible and acceptable. The preliminary efficacy of the LiL' STEPS program, which remains to be evaluated, was assessed in this study using a feasibility randomized controlled trial design.
Evidence suggests that the earlier supports are provided to young Autistic children, the better the overall outcomes. Supports have typically only been available after an autism diagnosis but with increased knowledge about early developmental trajectories, clinical supports can now be offered prediagnosis for infants showing early autism features and/or those with a family history of autism.
Autistic children experience significantly higher rates of anxiety compared to nonautistic children. The precise relations between autism characteristics and anxiety symptoms remain unclear in this population. Previous work has explored associations at the domain level, which involve examining broad categories or clusters of symptoms, rather than the relationships between specific symptoms and/or individual characteristics. We addressed this gap by taking a network approach to understand the shared structure of autism characteristics and anxiety symptoms.