Involvement of Autistic Adults in Recreational Activities.

PURPOSE: Participation in recreational activities (RA) has a positive impact on quality of life. The involvement of autistic adults in RA has rarely been documented. This study aimed to describe the RA involvement of autistic adults with and without intellectual disability (ID), and identify potential facilitators and barriers to their participation. METHODS: We conducted a wide-ranging online survey of autistic people aged 16 years and over living in Québec, Canada. This study focused on the questions concerning RA. We recruited participants through social media and community partners. RESULTS: The sample consisted of 316 participants. The most frequent activities engaged in were cultural outings, city walks, and nature walks. About 40% of participants frequently engaged in at least three different activities. About 12% did not engage in any frequent activity. Nearly 95% of participants reported participating in at least one activity with others, with family members identified most often as partners. For all participants, involvement in RA was facilitated by interest in the activity, a comfortable environment, and being accompanied by a friend or family member. Conversely, presence of a crowd, high cost of activities, and limited availability of RA restricted respondents' participation. CONCLUSIONS: RA of autistic adults are diverse in terms of number and type of activities engaged in. Family members play a crucial role in the respondents' RA involvement. Parent proxy identified barriers stemming mainly from the environment. Barriers identified by self-respondents came from the interaction of autistic traits with the environment.

Changes in Autistic Symptoms and Adaptive Functioning of Children Receiving Early Behavioral Intervention in a Community Setting: A Latent Growth Curve Analysis.

Despite showing effects in well-controlled studies, the extent to which early intensive behavioral intervention (EBI) produces positive changes in community-based settings remains uncertain. Thus, our study examined changes in autistic symptoms and adaptive functioning in 233 children with autism receiving EBI in a community setting. The results revealed nonlinear changes in adaptive functioning characterized by significant improvements during the intervention and a small linear decrease in autistic symptoms from baseline to follow-up. The intensity of intervention, initial age, IQ and autistic symptoms were associated either with progress during the intervention or maintenance during the follow-up. The next step to extend this line of research involves collecting detailed data about intervention strategies and implementation fidelity to produce concrete recommendations for practitioners.

Brief Report: Machine Learning for Estimating Prognosis of Children with Autism Receiving Early Behavioral Intervention-A Proof of Concept.

Although early behavioral intervention is considered as empirically-supported for children with autism, estimating treatment prognosis is a challenge for practitioners. One potential solution is to use machine learning to guide the prediction of the response to intervention. Thus, our study compared five machine algorithms in estimating treatment prognosis on two outcomes (i.e., adaptive functioning and autistic symptoms) in children with autism receiving early behavioral intervention in a community setting. Each machine learning algorithm produced better predictions than random sampling on both outcomes. Those results indicate that machine learning is a promising approach to estimating prognosis in children with autism, but studies comparing these predictions with those produced by qualified practitioners remain necessary.

Brief Report: Mobile Technology to Support Parents in Reducing Stereotypy.

Although behavioral interventions have been known to effectively reduce stereotypy in children with ASD, these types of interventions are not accessible to all families. In response to this issue, we evaluated the effects of the iSTIM, an iOS application designed to support parents in the reduction of stereotypy in their child with ASD. We used a series of AB designs to determine the effectiveness of the iSTIM on stereotypy using parents as behavior change agents. The use of iSTIM by the parents led to a reduction in stereotypy for six of seven participants. Our results suggest that the use of technology may be a cost effective and easily accessible method for parents to reduce stereotypy in their child with ASD.

Using Mobile Technology to Reduce Engagement in Stereotypy: A Validation of Decision-Making Algorithms.

We developed an iOS app, the iSTIM, designed to support parents of children with autism spectrum disorders (ASD) in reducing common repetitive vocal and motor behavior (i.e., stereotypy). The purpose of our study was to preliminarily test the decision-making algorithms of the iSTIM using trained university students to implement the assessments and interventions. Specifically, we examined the effects of the iSTIM on stereotypy and functional engagement in 11 children with ASD within alternating treatment designs. Using the iSTIM reduced engagement in stereotypy for eight participants and increased functional engagement for four of those participants. Our results indicate that the iSTIM may decrease engagement in stereotypy but that some of the decision-making algorithms may benefit from modifications prior to testing with parents.