Journal of Autism and Developmental Disorders最新文献

Purpose: Sleep problems and behavioural challenges are examined rarely in very young autistic children. We investigated sleep in 173 autistic children, close to their autism diagnosis (M_age = 2.49 years at diagnosis), focussing on sleep's relationship with daytime behaviour and vice versa, and examining if there were specific sleep problem-behaviour relationships in this very young cohort.

Methods: Caregivers of 173 autistic children (M_age = 2.58 years at data collection) provided information on their children's sleep (CSHQ; written descriptions) and behaviour (BASC-3, VABS-3). Demographic, ADOS-2 and developmental (MSEL) information were also available. Using parents' written descriptions and normative sleep data, children were categorized as severe (SSP) or typical (TSP) problems sleepers, or good sleepers (NSP) (Roussis et al., 2021). Kruskal-Wallis, correlation and regression analyses examined sleep and behavioural relationships among these three sleep groups.

Results: Most children (71.9%) had two or more sleep problems. The TSP and NSP groups did not differ on behaviour, showing significantly less hyperactivity, aggression, attention, and atypicality than the SSP group. Night waking/parasomnias, daytime alertness, and sleep initiation/duration for both sleep problem groups strongly correlated with increased hyperactivity, attention, anxiety, depression, and aggression. Sleep explained 38.4% of variance and 61.8% variance in behaviour, and behaviour explained 22.4% of variance and 32.1% of variance in sleep, for the TSP and SSP groups respectively.

Conclusion: Reciprocal relationships between sleep and behaviour in autism emphasise the importance of addressing sleep problems in young autistic children, at the time of diagnosis, as they can negatively impact behaviour and well-being.

Purpose: Social difficulties are fundamental aspects of autism spectrum disorder (ASD). However, behavioral issues such as attention difficulties, thought problems, externalizing behaviors, and internalizing behaviors can further hinder children's ability to develop social skills. We aimed to explore how co-occurring behavioral challenges may intensify social difficulties in autistic children and adolescents by assessing whether a higher prevalence of behavioral problems is associated with poorer social functioning in real-world scenarios.

Methods: We surveyed parents of 225 children diagnosed with ASD. Parents completed two questionnaires-the Child Behavior Checklist (CBCL) measuring psychiatric symptoms, and the Social Skills Improvement System (SSIS) assessing observable social abilities. We statistically analyzed the connection between behavioral scores and social scores.

Results: The results showed that more severe behavioral issues on the CBCL tied to weaker social skills overall on the SSIS. Among all behavioral domains, attention problems showed the strongest negative associations with total social skills and all subdomains. Thought problems also demonstrated significant negative association with several aspects of social functioning. Externalizing behaviors and internalizing behaviors were also negatively associated with social skills, though their effects were less pronounced than those of attention and thought problems.

Conclusion: Our findings provide real-world evidence that common co-occurring behavioral problems especially attention problems and thought problems showed strong negative associations with social skill difficulties in autistic children and adolescents. Screening for and adjusting conditions like attention problems, thought problems, and disruptive behaviors may be an important piece of helping autistic children build social competence.

Purpose: Autistic adults often face co-occurring depressive symptoms. While previous studies have focused primarily on depression in children with autism, this study aims to investigate the factors associated with depressive syptoms in autistic adults. By examining a broader range of variables including sociodemographic factors and autistic traits like sensory sensitivity and restricted and repetitive behaviors, we seek to gain a more comprehensive understanding of the elevated levels of depression within this population.

Methods: This quantitative study utilized a cross-sectional design. Two hierarchical regression analyses were conducted. The first analysis included all participants (N=438), focusing on demographic factors such as age, gender, income, in the first model and autistic traits such as repetitive behaviors, and depressive symptoms in the second model. The second analysis included a reduced sample (N=305) that additionally incorporated sensory sensitivity data.

Results: Older age, lower income, and a greater number of co-occurring psychosocial problems were significantly associated with higher levels of depressive symptoms.

Conclusions: Our research, unique by its large sample of adults with autism and innovative exploration of potential factors of influence, offers valuable insights into the unique challenges faced by autistic adults. Our findings highlight the difficulty older autistic individuals may encounter in accessing support services primarily designed for younger populations. Moreover, co-occurring problems and lower income can exacerbate these challenges, leading to instability and limited access to resources. These results underscore the urgent need for societal inclusion and tailored support systems to promote the mental well-being of autistic adults.

Purpose: The aim of the study is to examine (i) if young children with a family history of autism and/or ADHD differ on executive functions and deferred gratification in comparison to peers with no family history of autism or ADHD, (ii) the specificity of these domains in relation to early-life autistic and ADHD symptoms and adaptive functioning, and (iii) if deferred gratification and strong EF skills may function as protective factors in the association between symptoms and adaptive behaviour.

Methods: A total of 77 infant siblings at 3 years of age with a family history of autism only, autism and co-occurring ADHD, or no family history of these conditions (FH-TL) were assessed on behavioural lab-tasks (EF and deferred gratification), parent-rated adaptive behaviour using Vineland, and clinician ratings using ADOS-2 (autistic symptoms) and ADHD DSM-5 symptom rating scale (ADHD RS).

Results: Group comparisons showed that FH-autism and FH-autism + ADHD groups received lower scores on common EF, but not on deferred gratification in comparison to the FH-TL group. Lower levels of deferred gratification related to autistic symptoms, while lower level on EF was specific to ADHD symptoms. Finally, deferred gratification moderated the association between autistic symptoms and adaptive behaviour, in that stronger ability to defer gratification attenuated the association between autistic symptoms and adaptive functions.

Conclusions: These results are in line with the idea that strong ability to inhibit and defer gratification may act as a protective factor for children with a family history of autism and/or ADHD pointing to affective aspects of EF as particularly important.

Purpose: Misophonia is the adverse emotional reaction to everyday sounds (e.g., chewing or pen clicking). Since atypical sensory experiences are a key feature of autism, we investigated whether autistic individuals are more liable for experiencing misophonia symptoms. In addition, we explore the contribution of sensory sensitivity to misophonia symptoms in autism.

Methods: Autistic adults (N = 1050) filled out the Amsterdam Misophonia Scale-Revised (AMISOS-R), the Autism Spectrum Quotient (AQ-28), and the Sensory Processing Questionnaire (SPQ). Chi-square tests were applied to compare proportion of moderate or higher AMISOS-R scores over 20 to previously reported values in the extant literature. Next we modelled the quantitative level of AMISOS-R scores as function of AQ-28 with age, sex, and co-occurring disorders. Finally, we ran a mediation model adding SPQ as a mediator.

Results: Autistic people reported moderate to extreme levels of AMISOS-R in higher proportion than the general population. In particular autistic females and those with co-occurring disorders scored higher. In quantitative models, we found that autistic traits strongly predicted misophonia symptoms after correcting for multiple covariates. Both the hearing and vision subscales of the SPQ significantly mediated the effect.

Conclusion: The increased level of misophonia symptoms in autism and the mediation analyses suggest that autistic traits and sensory sensitivity are factors to consider for a subset of misophonia sufferers, with possible consequences for their clinical interventions.

Purpose: Whether children with autism spectrum disorder (ASD) exhibit interpersonal coordination deficits remains controversy. The study employed functional near-infrared spectroscopy (fNIRS) hyperscanning technology to investigate the performance of children with ASD in interpersonal cooperation and competition coordination tasks under dyadic gamed interaction situation.

Methods: 42 children (21 with ASD, 21 without ASD) performed a dyadic block-building task with collaborative intention (leading condition, following condition, turn-taking condition) (Experiment 1) and a competitive intention (Experiment 2) with an experimenter. Signal brain activation and interpersonal neural synchronization (INS) were analyzed and INS values further classified by machine-learning method and computed by using the SHAP toolkit.

Results: Children with ASD showed lower behavioral accuracy and behavioral synchrony in the tasks of the both two experiments; lower interpersonal neural synchronization(INS) in right temporoparietal junction (rTPJ)-right inferior frontal gyrus (rIFG), rTPJ-right inferior parietal lobule, and bilateral TPJ pairs in the three conditions under collaboration intention in experiment 1; and lower single-brain activation level in the right inferior parietal lobule (rIPL) under competition intention task in experiment 2. Finally, the children with and without ASD in Ex1 could be successfully discriminated against based on INS value by using Random Forest, AdaBoost, and XGBoost machine learning methods.

Conclusions: From the interpersonal behavioral and neural synchronization, the current study demonstrated the interpersonal coordination deficits in joint action for children with ASD from cooperative and competitive intention; notably, INS is an effective neural indicator and the machine learning method provides a novel strategy for analyzing and validating INS for interpersonal coordination deficits in joint action for the population of ASD.