Parent-mediated interventions are fundamental in supporting parents of autistic children. In particular, parent coaching has emerged as a key component of such interventions. However, the characteristics of such interventions remain underexplored. Therefore, the current review aimed to synthesise characteristics of parent-coaching interventions for young autistic children (<6 years). Specifically, the review aimed to investigate the extent to which fathers are being included in parent-coaching interventions. A systematic review of the literature was conducted following PRISMA guidelines. A total of 5 studies which met the strict inclusion criteria were included in the final analysis. Studies were summarised regarding participant information, study design, intervention characteristics, dependent variables, study outcomes and social validity findings. Results revealed that only 2 fathers were represented in the included studies, which included 94 parent-child dyads overall. Although limited to two studies, outcomes indicated that parent-coaching can be successfully implemented with fathers. Findings concerning other intervention characteristics are also discussed. Overall, this review highlights the need for more in-depth research into fathers' experiences of parent-coaching interventions and related child outcomes.

The objective of this study is to identify the acoustic characteristics of cries of Typically Developing (TD) and Autism Spectrum Disorder (ASD) children via Deep Learning (DL) techniques to support clinicians in the early detection of ASD.

Autism diagnostic criteria relate to difficulties in functioning across multiple developmental domains, that often impact on a person's independence. There are different ways to conceptualise and exercise independence, but no previous studies have questioned how autistic adults do so. This qualitative study aimed to understand how autistic adults define and experience independence. It was designed to further our understanding of how autistic adults account for and use coping strategies to overcome barriers to independent living and navigate their way to their desired level of independence. Twelve semi-structured interviews were conducted with autistic adults living in the United Kingdom. The data were analysed using reflexive thematic analysis. The researchers generated three major themes. The first theme 'Independence is "not a one-size-fits-all"' highlights that there is no one definition or concept of independence for autistic people; these are relative and uniquely individual. The second theme '"Being autistic has its setbacks" in a neurotypical world' describes the obstacles encountered by autistic adults seeking independence within a society that favours neurotypical norms. The third theme 'Finding ways of making it work' captures strategies autistic adults use in achieving or maintaining independence. The findings from this study provide a foundation for future research exploring domains of independence for autistic adults. The perceived desirability of achieving different degrees of in(ter)dependence and the fluctuating nature of self-sufficiency are explored through lived experience. Increasing understanding of barriers and challenges to independence has the potential to empower autistic adults and improve services and support.

Autism early intervention research has indicated a research-to-practice gap, including continued use of practices with inadequate research support, and insufficient use of empirically supported practices. The present study explored the processes and mechanisms through which providers working with young children on the autism spectrum learn, select, and implement the various practices in their clinical repertoires. We addressed the role of providers' priorities, competence, and experience with (and needs for) professional development (PD), as well as whether, in clinical practice, a provider selects for implementation interventions based on domains.

Serious games are digital games designed for education or therapy. Virtual reality (VR)-based serious games have shown potential in enhancing motor learning, but their role in improving gross motor skills in children with ASD in special education remains underexplored. This randomized controlled trial examined the effectiveness of VR-based serious games in improving gross motor skills in children with ASD. Forty children (6-12 years) from Changsha Special Educational School were randomly assigned to an experimental group (n = 20) receiving VR-based serious game training, or a control group (n = 20) attending traditional physical education classes. The 12-week intervention was assessed using the Test of Gross Motor Development-2 (TGMD-2). The experimental group used a multimedia VR system with nine motor rehabilitation games. After the intervention, both groups showed significant improvements in gross motor skills, but the experimental group showed greater gains in locomotor and object control skills, with significant time × group interaction effects. Despite improvements, average gross motor scores remained below the expected norms, highlighting persistent motor skill challenges. These findings support VR-based serious games as a valuable tool in special education, warranting further exploration for long-term interventions and broader adoption in school settings.

Given the high prevalence of sleep problems in children with autism spectrum disorder (ASD), there is a critical need to examine how sleep problems may be exacerbated for children exposed to social and environmental adversity. Guided by the socio-ecological model, this review aimed to evaluate factors linked to sleep health disparities (SHDs) in children with ASD, determine possible gaps/limitations in existing literature, and identify possible solutions. A scoping review was selected to ascertain what is known about SHDs in ASD. Four databases identified articles from 2004 to 2023. Included articles were those conducted in children with ASD that focused on sleep and examined socio-ecological factors (i.e., individual, family, neighborhood and socio-cultural) possibly contributing to SHDs. 41 studies were extracted; 31 (75.6%) focused on individual factors, 27 (65.9%) focused on family factors, 11 (26.8%) focused on neighborhood and/or socio-cultural factors; 3 (7.3%) focused on factors across all three socio-ecological levels. Six studies included interventions that found improvements in child sleep, behavior, and quality of life. Representation of racial and ethnic minoritized groups was limited across studies. Most studies focused on individual child factors associated with sleep problems, with less research focused on family factors, and very few studies examining broader neighborhood and socio-cultural factors. Only about half of studies reported race and ethnicity data, with sparse representation of racial and ethnic minoritized children and families overall. These findings highlight the need for future research on modifiable socio-ecological factors to guide equitable sleep interventions for children with ASD.

This study investigates the effects of disclosing an autism diagnosis on non-autistic listeners' empathy and social interest towards the autistic discloser. In Study 1, participants (non-autistic students in the social sciences/humanities [n = 99; 70% female]) watched a video of an autistic adult sharing an autobiographical story and reported how they believed the storyteller felt, following an introduction in which the storyteller did or did not disclose their diagnosis. Their evaluation of the storyteller's emotions was compared to the storyteller's own reports, resulting in an empathic accuracy measure. Participants reported how empathic they felt towards the storyteller and how socially interested they were in them. Studies 2 and 3 replicated the same procedure with STEM students (n = 96; 40% female), and with non-student adults (n = 76; 50% female) from diverse professional/occupational backgrounds, with an additional question about working together. In Study 1, participants in the self-disclosure condition demonstrated higher empathic accuracy, reported more empathy, and greater social interest in the storyteller. Study 2 showed a similar trend of higher empathy in the self-disclosure condition but no differences in social interest measures. Interest in working with the storyteller was higher in the self-disclosure condition. In Study 3, participants in the self-disclosure condition demonstrated higher empathy and greater interest in hearing another story and working with the storyteller. An individual's self-disclosure of an autism diagnosis improved others' ability to empathize with them and willingness to work with them. We discuss the complex effect of self-disclosure on social interest in an autistic person.

Heritage-language-speaking caregivers of autistic children in the United States (U.S.) have encountered barriers when attempting to access multilingual support for their children. Multilingual autism providers, such as professionals in Applied Behavior Analysis (ABA), have also reported challenges in providing multilingual care, such as a lack of training opportunities. Little is known about the experiences and needs of leaders in ABA who support multilingual direct care staff. Therefore, the current study aimed to answer the research question: What are the experiences and needs of ABA leaders in autism care related to supporting multilingual ABA staff who work with multilingual autistic children and their families? This exploratory qualitative study used semi-structured focus groups and interviews with monolingual and multilingual behavior analysts who had experience supporting multilingual ABA staff. Transcripts were analyzed using reflexive thematic analysis. The 14 participants were a diverse sample of U.S.-based monolingual, multilingual, autistic, and non-autistic leaders in ABA with experience supervising multilingual ABA staff. Two major themes were generated from the data set: (1) Diverse Experiences: Organizational Policies and Actions Impacting Multilingual Staff, and (2) Building Community and Creating Solutions. Participants shared experiences and challenges supervising multilingual ABA staff. Implications highlight the need to closely examine organizational policies to prevent discrimination and spotlight the need for more research to be conducted in this area.

Children and adolescents with autism spectrum disorder (ASD) frequently present with mental health comorbidities and behavioral crises, necessitating inpatient care. However, evidence-based guidelines for psychotropic medication use in specialized inpatient settings remain limited, particularly in non-Western contexts. This study examined the clinical characteristics and prescribing patterns among 269 hospitalized ASD patients (2012-2023), with a focus on how intellectual disability (ID) influences medication decisions. A retrospective analysis was conducted using electronic medical records to assess mental disorders, behavioral challenges, and psychotropic medication use at discharge. Logistic regression analyses was performed to examine factors associated with medication prescribing patterns, including the impact of ID status. Psychotropic medication use was highly prevalent (96.7%), with antipsychotics (89.96%) being the most frequently prescribed class, followed by anxiolytics (35.32%) and antidepressants (33.09%). ID was significantly associated with distinct prescribing patterns: patients with ID had 63% lower odds of antidepressant use (aOR = 0.37, p = 0.001) and 80% lower odds of ADHD medication use (aOR = 0.20, p = 0.009), while being more likely to receive antipsychotics (aOR = 2.74, p = 0.049) and experience polypharmacy (aOR = 1.89, p = 0.028). Additionally, disruptive behaviors and age were key predictors of antipsychotic use, whereas suicidal thoughts/attempts or SIBs independently predicted antidepressant prescribing. These findings suggest that ID status plays a critical role in shaping psychotropic prescribing practices beyond symptom severity alone, potentially reflecting diagnostic overshadowing and safety concerns. Future research should focus on developing tailored clinical assessment tools and treatment protocols for ASD populations with and without ID, while enhancing individualized medication monitoring to optimize therapeutic outcomes.

Children with autism spectrum disorder (ASD) are at heightened risk of unintentional drowning. We examined the epidemiological patterns of unintentional drowning incidents involving children diagnosed with ASD treated in US emergency departments (EDs). Data for this study came from the 2016-2020 Nationwide ED Sample. Children aged 1-19 years diagnosed with ASD and treated in EDs were identified using ICD-10-CM code F84.0. Weighted multivariable logistic regression models were used to estimate the adjusted odds ratio (aOR) and 95% confidence interval (CI) of drowning-related ED visits associated with ASD. During the study period, there were an estimated 21,226 unintentional drowning-related ED visits in children, including 369 in children diagnosed with ASD. Compared to children without ASD, ED visits for unintentional drownings in children with ASD were more likely to have occurred in swimming pools (47.45% vs. 41.21%), natural water (15.55% vs. 8.82%), and bathtubs (8.08% vs. 4.79%). Among children with ASD, unintentional drowning-related ED visits occurred more commonly in children > 10 years (43.20% vs. 18.19%) and were more likely to result in hospital admission (35.14% vs. 22.02%) than among children without ASD. With adjustment for demographic characteristics, ASD was associated with more than a 2-fold increased odds of ED-treated unintentional drowning (aOR = 2.31; 95% CI 1.84, 2.89). Epidemiologic patterns of unintentional drowning are different between children with and without ASD. Targeted interventions designed to increase supervision, provide adaptive swimming lessons, and enhance environmental safety may reduce the risk of unintentional drownings among children diagnosed with ASD.

Despite extensive research efforts, it is unclear how autistic and non-autistic individuals compare in their ability to recognize emotions. Differences in demographic and task factors have been proposed as explanations for divergent findings, but limitations in samples and designs have obscured insight into this possibility. This study investigated the extent of emotion recognition differences among autistic adults and the influence of these factors upon them. We recruited a large sample of autistic and non-autistic adults (N = 1,239) spanning across adulthood (18-76 years). In three online experiments, we compared their performance in recognizing emotions from basic facial expressions, complex expressions conveyed by the eyes alone, and prosodic elements of speech. Autistic individuals performed as well as non-autistic ones in terms of recognition accuracy/sensitivity across measures and emotional categories but took longer to do so. We also detected comparable influences of age, estimated intelligence quotient, and gender (as well as task demands) on both groups. While autistic adults may differ in how they process emotional stimuli, they can do so effectively when given sufficient time. Accordingly, efforts to help autistic individuals improve their ability to recognize emotions may be more fruitful if they focus on efficiency over accuracy. Additionally, reaction time data may offer greater insight than accuracy into differences between autistic and non-autistic individuals on emotion recognition tasks. The similar effects of the demographic and task factors we analyzed on both groups suggest that explanations of the discrepancies in prior literature lie elsewhere.

Few studies have asked autistic adults and caregivers directly about what has most positively and negatively impacted their lives. This study sought to: (a) identify positive and negative factors experienced by autistic adults and caregivers; (b) test for within-subject differences in endorsement of promotive factors reported specific to four stages of development; and (c) test for differences in factors between adults with varying cognitive ability (i.e., less cognitively able [LCA; verbal IQ < 70] and more cognitively able [MCA; verbal IQ ≥ 70]). Participants included 91 autistic adults and caregivers. Autistic adults' VIQs ranged from 4 to 139. Participants completed a modified version of the Social/Emotional Functioning Interview which consists of open-ended questions about positive and negative factors experienced across development. Autistic adults and caregivers, regardless of cognitive abilities, frequently reported people supports as more helpful than specific services, aspects of education, or generative activities from early childhood through adulthood. For both cognitive groups, generative activities were increasingly important after childhood. Services were more frequently identified as helpful by LCA caregivers in adulthood, while education was reported more by MCA caregivers and autistic adults. Differences by cognitive ability in negative factors included that more LCA caregivers reported poorly prepared professionals/caregivers as disruptive, while more MCA caregivers and autistic adults reported family conflict and bullying. Positive and negative factors identified through interviews of lived experiences can inform targeted care based on strengths and needs across cognitive abilities and life stages.

Autism spectrum disorder (ASD) is a developmental disorder that warrants early intervention. This systematic review evaluated the efficacy of parent-mediated natural developmental behavioral interventions (NDBIs) for children aged 0-6 with ASD across various randomized controlled trials (RCTs) and explored the limitations of these interventions. A systematic search was conducted across the PubMed, Web of Science, Embase, and Scopus databases to identify RCTs, and the selected studies were assessed for quality. The search was conducted through January 2024 and identified eight RCTs that, despite varying methodological rigor, collectively suggest benefits for social communication, language skills, and parent‒child interactions in individuals with ASD. Future research should implement standardized intervention protocols, employ sensitive assessment tools, and provide detailed statistical analysis plans to improve the generalizability and reliability of the outcomes of this study.

There is a need for research on autism questionnaire psychometrics outside of the standardization sample. This study investigated the factor structure of the Autism Spectrum Rating Scales-Parent report for ages 6-18 (ASRS) in a well-characterized community sample of 696 children (autism [AUT] n = 231; non-autism [NOT] n = 465; X̄age = 10.03) prospectively evaluated with the Autism Diagnostic Observation Schedule-2, a gold-standard autism diagnostic measure. The original author-identified structure demonstrated poor model fit. Exploratory Factor Analysis with a randomly selected half of the sample (n = 346) suggested retaining 17-items on three factors (Rigid/Sensory, Social, and Executive Function [EF]), explaining 55% of the variance. Confirmatory Factor Analysis with the remaining participants (n = 350) indicated good model fit. Partial measurement invariance was observed for diagnostic (AUT/NOT) and gender (male/female) groups. Correlations with the DSM-5 (an ASRS scale) were high. Mean differences were observed between AUT/NOT groups for Social; when controlling for age, marginal differences (p = 0.02 - 0.03) were observed for all factors but EF. Social also demonstrated significant AUC regardless of control variables. However, AUC values for Social and other factors, while significant, were in the poor range; correlations with ADOS-2 scores were weak or non-significant. Despite improving the factor structure, the Total-17 does not appear to measure ASD-specific traits. However, these findings provide a basis for further research on ASD questionnaires.

Several studies have investigated false memory production in autistic adults, yet it remains unclear whether susceptibility to false memories differs from non-autistic adults and what mechanisms might contribute to any differences. This study examines the mechanisms behind false memory formation in autistic adults using the Deese-Roediger-McDermott (DRM) paradigm.

Autism diagnostic criteria, and research primarily involving autistic children, highlight verbal and nonverbal behaviors likely to manifest during social interaction that may generate unfavorable impressions of interaction partners (e.g., poor credibility, incompetence). These behaviors are thought to bias evaluations of autistic individuals, particularly within high-stakes contexts (e.g., police or employment interviews). However, the prevalence of those behaviors in autistic adults is unclear. IQ-matched samples of autistic (n = 43) and non-autistic (n = 41) adults participated in a simulated chatroom, exposed to text-based conversations about illegal hacking. Participants were then interviewed about the chatroom in a one-on-one video-recorded online interview with the researcher. We measured the prevalence of 19 verbal and nonverbal behaviors, and memory report characteristics displayed by the interviewees, and investigated differences between the diagnostic groups. Diagnosis had a strong effect on overall behavioral displays but was only associated with minor differences in individual behaviors. Three significant effects indicated greater difficulty interpreting figurative language, longer speech hesitations, and greater verbal intonation for autistic than non-autistic adults. Inter-individual variability within groups and within-individual variability across behaviors highlighted that behaviors were neither ubiquitous nor consistently displayed in combination. There was also a suggestion of more noticeable differences in the behavior of male than female autistic adults. Although minor behavioral differences were detected based on diagnosis, they included behaviors that could lead to negative outcomes for autistic individuals during high-stakes interactions. Whether more pronounced behavioral differences are detected during face-to-face interactions warrants further research.

The aim of this study was to compare differences in cognitive, adaptive, and language function in young children referred for concerns for autism spectrum disorder (ASD) who are diagnosed with ASD vs those not diagnosed with ASD (no ASD). This prospective diagnostic study of 349 children < 6 years of age, with 250 diagnosed with ASD and 99 with no ASD, was conducted at 8 diagnostic centers. There were no differences in cognition between those diagnosed with ASD and those with no ASD. As compared to those with no ASD, children with ASD had significantly lower language and adaptive functioning. Children with no ASD had language and adaptive functioning similar to their cognitive function. Differences between developmental domains were also compared within the ASD and no ASD groups. There were no differences between any 2 areas of function in the no ASD group. However, there were significant differences within the ASD group, with cognitive function significantly higher than both language function and adaptive function. This study suggests that a discrepancy between adaptive and language skills beyond that expected based on cognitive function should heighten concern for ASD. Beyond the categorical diagnosis of ASD, it is important to assess all these developmental domains to develop comprehensive plans for interventions.

This paper aims to comprehensively review the application of Augmented Reality interventions in supporting individuals diagnosed with Autism Spectrum Disorder. The main research question guiding this review is: What effects do AR interventions have on various aspects of functioning in individuals with ASD?