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This research used an alternating treatment design to investigate the relative effectiveness of participant specific social stories delivered using two distinct formats (i.e., technology-based, paper/book), on increasing the frequency of initiations and responses of two adolescents with ASD. Visual analysis of baseline, intervention, maintenance, and generalization data results indicated the intervention increased the frequency of initiations and on-topic responses regardless of delivery format; however, calculation of Percentage of Nonoverlapping Pairs and TAU-U for both formats indicated variable levels of effectiveness for each condition, with ranges of 43-86% and 0.02381-0.76190 respectively. Finally, despite varied results, both participants preferred the technology-based social story format and parents of both participants agreed the social story intervention increased communicative skills.

This paper used Social Security Administration program data from 2005 to 2019 to examine national- and state-level changes in the number of new adult supplemental security income (SSI) awardees on the autism spectrum relative to awardees with intellectual disability and other mental health disorders. We identified three main findings: the number of autistic awards increased between 2005 and 2019 when awards for all other mental health disorders declined; roughly nine out of every 10 autistic adult awardees were between ages 18-25 years; there was variation in the growth of autistic awards across states. These findings support the need to consider geographic and age differences in SSI program participation among autistic adults and determine the underlying causes.

Limited interventions exist that support student's school participation. This paper describes a theoretical model of school participation and the iterative process that led to the development of an intervention that aims to improve the school participation of students on the autism spectrum and their typically developing peers. Literature on autism, school participation and intervention research were integrated to develop a theoretical model. Focus groups, a Delphi study, online surveys, and reference group consultation helped to develop and refine the intervention. A novel school-based intervention was developed. The impetus to develop interventions with a strong theoretical rationale is discussed.

Autistic individuals often struggle to successfully navigate emerging adulthood (EA). College is an increasingly common context in which individuals learn and hone the necessary skills for adulthood. The goal of this paper is to systematically review and assess the existing research on college as a context of EA development in autistic individuals, particularly in terms of understanding whether and how this context might be critically different for those who are typically developing or developing with other disabilities. Our findings indicate that ASD college students report feeling prepared academically, but exhibit weaknesses in daily living and social skills. Interventions largely focus on social skills, and rarely evaluate outcomes relevant to college success or longer-term emerging adulthood independence. We conclude with hypotheses and recommendations for future work that are essential for understanding and supporting ASD students as they navigate potentially unique challenges in college and their transition to independence during EA.

The assessment of autism spectrum disorder (ASD) is based on semi-structured procedures addressed to children and caregivers. Such methods rely on the evaluation of behavioural symptoms rather than on the objective evaluation of psychophysiological underpinnings. Advances in research provided evidence of modern procedures for the early assessment of ASD, involving both machine learning (ML) techniques and biomarkers, as eye movements (EM) towards social stimuli. This systematic review provides a comprehensive discussion of 11 papers regarding the early assessment of ASD based on ML techniques and children's social visual attention (SVA). Evidences suggest ML as a relevant technique for the early assessment of ASD, which might represent a valid biomarker-based procedure to objectively make diagnosis. Limitations and future directions are discussed.

The addition of 'clinically significant impairment' (American Psychiatric Association, Diagnostic and statistical manual of mental disorders, Author, 2013) to the diagnostic criteria for autism in DSM-5 attempts to establish a threshold for the condition. However, the increased prominence of the neurodiversity paradigm and social model of disability runs counter to the idea that characteristics of autism are fundamentally impairing. Consequently, diagnostic criteria for autism are becoming misaligned with the contemporary views of 'disorder' and 'disability'. In this commentary, we outline six clinical issues that arise from this misalignment during diagnostic assessment for autism, and the tension this creates in making diagnostic decisions. We conclude by considering ways the 'clinically significant impairment' criterion could be changed, and the implications this would have on clinical practice, and the concept of autism.

There is limited research examining the inclusion of autistic people in their local communities. This paper reports on two Australian studies which explored this gap, focusing on both autistic people's experiences and non-autistic people's attitudes towards autistic individuals. Study One was conducted with primarily non-autistic people (n = 2,383), and Study Two with primarily parents and carers of autistic people (n = 1,297 people). The majority of non-autistic adults perceived discrimination against autistic people in the community; consistent with the experiences of autistic people and their carers. Of particular concern was more negative attitudes towards, and experiences of, autistic adults. There is an urgent need to improve society's acceptance and inclusion of autistic people of all ages.

A global pandemic has significantly impacted the ability to conduct diagnostic evaluations for autism spectrum disorder (ASD). In the wake of the coronavirus, autism centers and providers quickly needed to implement innovative diagnostic processes to adapt in order to continue serve patient needs while minimizing the spread of the virus. The International Collaborative for Diagnostic Evaluation of Autism (IDEA) is a grassroots organization that came together to discuss standards of care during the pandemic and to provide a forum wherein providers communicated decisions. This white paper is intended to provide examples of how different centers adjusted their standard approaches to conduct diagnostic evaluations for ASD during the pandemic and to provide insight to other centers as they go through similar challenges.

This paper reported the quality of life (QoL) of 260 Malaysian parents with autism spectrum disorder (ASD) and factors which influencing it. About half of these parents reported to having good QoL. The factors identified in the double ABCX model showed that perceived social support and sense of coherence (SOC) were mediated by coping strategies and had a positive direct and indirect effect on parents' QoL. These findings reiterate the importance of social support, coping skills, and strong SOC reflection skills in influencing the QoL of parents with ASD child. We therefore suggest parents to utilize the widely available social and organization supports to gain good QoL, which is also important for the wellbeing of their child.

In this paper we review the impact of DSM-III and its successors on the field of autism--both in terms of clinical work and research. We summarize the events leading up to the inclusion of autism as a "new" official diagnostic category in DSM-III, the subsequent revisions of the DSM, and the impact of the official recognition of autism on research. We discuss the uses of categorical vs. dimensional approaches and the continuing tensions around broad vs. narrow views of autism. We also note some areas of current controversy and directions for the future.

Over the past four decades there have been significant advances in our understanding of autism, yet services for autistic adults continue to lag far behind those for children, and prospects for employment and independent living remain poor. Adult outcomes also vary widely and while cognitive and language abilities are important prognostic indicators, the influence of social, emotional, familial and many other factors remains uncertain. For this special issue marking the 40th anniversary of DSM-III, the present paper describes the changing perspectives of autism in adulthood that have occurred over this period, explores individual and wider environmental factors related to outcome, and suggests ways in which services need to be changed to improve the future for adults living with autism.

There are three branches of science of behavior analysis [i.e., experimental analysis of behavior, behavior analysis, and applied behavior analysis (ABA)]. ABA can be defined as a systematic approach to understanding behavior of social interest. For the past 40 plus years, researchers have evaluated ABA and ABA based procedures (e.g., behavioral intervention) as they relate to individuals diagnosed with autism spectrum disorder (ASD) and have implemented behavioral intervention in clinical settings for individuals diagnosed with ASD. In this paper, we discuss some of the pivotal contributions in the field of ABA in research and clinical practice. Additionally, we provide recommendations for the science and clinical practice of behavioral intervention in the next 40 years.

Measurement-based care (MBC), an evidence-based approach that has demonstrated efficacy for improving treatment outcomes, has yet to be investigated in clients with Autism Spectrum Disorder. The current paper investigates the use of MBC in autistic (n = 20) and non-autistic (n = 20) clients matched on age, sex, and presenting problem. Results of change score analysis indicated that utilizing routine symptom monitoring can enhance treatment evaluation. Autistic clients participated in significantly more sessions, made significantly less progress, and were less compliant with MBC than non-autistic clients. Though hierarchical linear modeling demonstrated no significant differences in treatment slope, results indicated moderate effect size. These results inform the use of MBC in community clinics, highlighting policy implications and need for targeted measurement.

This paper presents two studies that explored community attitudes to autism in Australia; and autistic people and their families' perspectives of community attitudes. In Study One 2424 (primarily non-autistic) people completed a survey on autism-related knowledge and attitudes; identifying a number of misperceptions and knowledge gaps in the general community. In Study Two 1353 people (primarily parents and carers of autistic people) completed a survey on autism-related experiences; identifying that the community's awareness of autism does not appear to extend to understanding how to support autistic people. There is a need for more research which integrates the perspectives of both autistic people and the broader community; and the development of communication and education interventions, "with" rather than "about" autistic people.

Social engagement, pretend play, and concern for another's distress represent fundamental features of typical social-emotional development in the second year. Children with autism spectrum disorder (ASD) display delays and deficits in these areas, and research on toddlers at heightened risk for ASD (HR; younger siblings of children with ASD) indicates these deficits may be apparent in toddlerhood. Prior research has examined these aspects of social-emotional development individually in HR toddlers. The present paper examines them jointly as predictors of ASD. We show that social engagement, pretend play, and empathic concern at 22-months each contribute uniquely to predicting later ASD diagnosis with high specificity and moderate sensitivity. Results have important implications for early diagnosis and intervention in young children with ASD.

Longitudinal studies have generally reported poor outcomes in adulthood for the majority of individuals (c.50-60%) with autism. Several factors putatively predict outcome (e.g. IQ), but findings remain mixed. This paper presents an updated meta-analysis of autism outcome studies and extends previous findings with additional analyses (including meta-regression). A total of 4088 records was screened and 18 studies, involving 1199 individuals, were included in the quantitative analysis. Estimated percentages indicated that 20.0% of participants were rated as having a good outcome, 26.6% a fair outcome, and 49.3% a poor outcome. Meta-regression indicated that lower IQ in adulthood was predictive of poor outcome; other meta-regression models did not survive correction for multiple comparisons. Overall, outcomes for autistic people are on average poor, and higher IQ appears to be protective against having a poor outcome. The limitations of current constructs of outcome are discussed.