SUMMARYThe diagnosis and management of insomnia relies primarily on clinical history. However, patient self-report of sleep-wake times may not agree with objective measurements. We hypothesized that those with shallow or fragmented sleep would under-report sleep quantity, and that this might account for some of the mismatch. We compared objective and subjective sleep-wake times for 277 patients who underwent diagnostic polysomnography. The group included those with insomnia symptoms (n = 92), obstructive sleep apnea (n = 66) or both (n = 119). Mismatch of wake duration was context dependent: all three groups overestimated sleep latency but underestimated wakefulness after sleep onset. The insomnia group underestimated total sleep time by a median of 81 min. However, contrary to our hypothesis, measures of fragmentation (N1, arousal index, sleep efficiency, etc.) did not correlate with the subjective sleep duration estimates. To unmask a potential relationship between sleep architecture and subjective duration, we tested three hypotheses: N1 is perceived as wake; sleep bouts under 10 min are perceived as wake; or N1 and N2 are perceived in a weighted fashion. None of these hypotheses exposed a match between subjective and objective sleep duration. We show only modest performance of a Naïve Bayes Classifier algorithm for predicting mismatch using clinical and polysomnographic variables. Subjectiveobjective mismatch is common in patients reporting insomnia symptoms. We conclude that mismatch was not attributable to commonly measured polysomnographic measures of fragmentation. Further insight is needed into the complex relationships between subjective perception of sleep and conventional, objective measurements.

Sensory features may interfere with development of adaptive behaviors, suggesting a need for effective interventions addressing sensory features early in development.

Atypical sensory and repetitive behaviors are defining features of autism spectrum disorder (ASD) and are thought to be influenced by environmental factors; however, there is a lack of naturalistic research exploring contexts surrounding these behaviors. The current study involved video recording observations of 32 children with ASD (2 – 12 years of age) engaging in sensory and repetitive behaviors during home activities. Behavioral coding was used to determine what activity contexts, sensory modalities, and stimulus characteristics were associated with specific behavior types: hyperresponsive, hyporesponsive, sensory seeking, and repetitive/stereotypic. Results indicated that hyperresponsive behaviors were most associated with activities of daily living and family-initiated stimuli, whereas sensory seeking behaviors were associated with free play activities and child-initiated stimuli. Behaviors associated with multiple sensory modalities simultaneously were common, emphasizing the multi-sensory nature of children’s behaviors in natural contexts. Implications for future research more explicitly considering context are discussed.

Children with autism spectrum disorder (ASD) and other developmental disabilities (DD) may process sensory information differently from those who do not have ASD. For example, some children may be over-responsive or under-responsive to sound or touch. In this study, we showed that sensory features in preschool/school-aged children with ASD and DD tend to decrease on average over a several year period. However, individual children tend to retain their ranking (low or high in sensory features) in comparison to other children over time.

Children with autism spectrum disorder (ASD) and other developmental disabilities (DD) commonly display unusual responses to sensory input. Previous work has suggested concurrent associations linking sensory features with aspects of family functioning, including activity participation and caregiver strain. What is unknown, however, is the extent to which sensory features affect family functioning over time, as well as the influence of received services on these relationships. Objective: To assess hypothesized longitudinal associations between sensory features and family functioning and examine interactions by group and service usage (i.e., educational and therapy services).