Use of automatically reinforced stereotypy as reinforcement has been shown to be successful for increasing socially desirable behaviors in persons with intellectual disabilities (Charlop, Kurtz, & Casey, 1990; Hanley, Iwata, Thompson, & Lindberg, 2000; Hung, 1978). A component analysis of this treatment was conducted with 3 adolescents who had been diagnosed with autism, and then extended by (a) progressively increasing the quantitative and qualitative aspects of the response requirement to earn access to stereotypy, (b) arranging objective measures of client preference for contingent access to stereotypy compared to other relevant treatments for their automatically reinforced stereotypy, and (c) assessing the social validity of this treatment with other relevant stakeholders. Implications for addressing stereotypy and increasing the leisure skills of adolescents with autism are discussed.

We analyzed over 20,000 nights of sleep from 67 individuals with autism to investigate whether daytime behaviors can be predicted from prior sleep patterns. Better-than-chance accuracy was obtained for 81% of individuals, with measures of night-to-night variation in sleep timing and duration most relevant for accurate prediction. Our results highlight the importance of regular sleep patterns for better daytime functioning and represent a step toward the development of 'smart sleep technologies' to pre-empt behavior in individuals with autism.

Shame appears to be more central to the experience of problematic drinking than guilt. Results also support the idea that guilt/shame proneness is distinct from experienced shame and guilt. Incorporating this distinction appears to account for the inconsistencies in the literature regarding how shame and guilt are related to drinking.

Despite sleep disturbance being a common complaint in individuals with autism, specific sleep phenotypes and their relationship to adaptive functioning have yet to be identified. This study used cluster analysis to find distinct sleep patterns and relate them to independent measures of adaptive functioning in individuals with autism. Approximately 50,000 nights of care-giver sleep/wake logs were collected on school-days for 106 individuals with low functioning autism (87 boys, 14.77 ± 3.11 years) for 0.5–6 years (2.2 ± 1.5 years) from two residential schools. Using hierarchical cluster analysis, performed on summary statistics of each individual across their recording duration, two clusters of individuals with clearly distinguishable sleep phenotypes were found. The groups were summarized as ‘unstable’ sleepers (cluster 1, n = 41) and ‘stable’ sleepers (cluster 2, n = 65), with the former exhibiting reduced sleep duration, earlier sleep offset, and less stability in sleep timing. The sleep clusters displayed significant differences in properties that were not used for clustering, such as intellectual functioning, communication, and socialization, demonstrating that sleep phenotypes are associated with symptom severity in individuals with autism. This study provides foundational evidence for profiling and targeting sleep as a standard part of therapeutic intervention in individuals with autism.