Toward better outcome measurement for insomnia in children with autism spectrum disorder.

LAY ABSTRACT: Insomnia, trouble falling asleep or staying asleep, is common in autistic children. In a previous report, we described the results of focus groups with parents of autistic children toward the development of the Pediatric Autism Insomnia Rating Scale. In this article, we report on the steps taken to complete the Pediatric Autism Insomnia Rating Scale. With help from the Simons Foundation registry, we collected information from parents on 1185 children with autism spectrum disorder to test the new measure. These results were evaluated using standard statistical methods such as factor analysis. To confirm the validity of the new measure, we enrolled a separate sample of 134 autistic children for a detailed assessment by video conference. This step showed that the Pediatric Autism Insomnia Rating Scale is clearly measuring symptoms of insomnia in children with autism spectrum disorder and not related problems such as hyperactivity, repetitive behavior, or anxiety. We also showed that the total score on the Pediatric Autism Insomnia Rating Scale is stable when repeated over a brief period of time. This is important because a measure that is not stable over a brief period of time would not be suitable as an outcome measure. In summary, the Pediatric Autism Insomnia Rating Scale is a brief and valid measure of insomnia in children with autism spectrum disorder that provides reliable scores.

Follow-up of telehealth parent training for sleep disturbances in young children with autism spectrum disorder.

OBJECTIVE/BACKGROUND: Bedtime and sleep disturbances are ubiquitous in children with autism. The telehealth delivery of a behavior analytic parent training program was earlier reported to be efficacious in improving child sleep and parent sense of competency. Our aim in this brief report was to determine the durability of the telehealth delivered sleep parent training program (SPT) compared to the control condition in this randomized controlled trial. Telehealth delivery could be a means to expand access to such early treatment if efficacious. PARTICIPANTS/METHODS: Parents of young children, ages 2-7 years, with autism and co-occurring sleep disturbances were enrolled in this study. Participants were randomized to either SPT or a comparison arm that included non-sleep related parent education except for one session Sleep Parent Education; SPE). Each participant was individually administered a 5 session program delivered over 10 weeks. Outcome measures were collected at weeks 5 and 10 and at post-treatment follow-up at 16 weeks. RESULTS: Follow-up week 16 data were available for 30 participants randomized to SPT and 24 participants randomized to SPE. Demographics for this follow-up cohort were similar to the full sample. At week 16 follow-up, there was a significant group difference between SPT and SPE the Modified Simonds & Parraga Sleep Questionnaire-Composite Sleep Index (MSPSQ - CSI) (p = 0.011) with an effect size of 0.68. Further, 8 of the 10 children in SPT who were negative responders at the week 10 endpoint were rated as positive responders at week 16 by the treatment masked IE compared to 2 out of 12 in the SPE group (p = 0.008). CONCLUSIONS: Post-treatment follow-up data suggests SPT is durable over time compared to SPE, the active control group. Further, for some participants in SPT, a positive responsive emerged after the treatment endpoint. This brief report adds to the efficacy of SPT as a time-limited intervention for insomnia in young autistic children.

Clinical Correlates and Prevalence of Food Selectivity in Children with Autism Spectrum Disorder.

OBJECTIVE: To examine clinical correlates and prevalence of food selectivity (FS) - ie, self-restricted diet, reluctance to try new foods - in children with autism spectrum disorder (ASD) ascertained from a general outpatient autism clinic. STUDY DESIGN: A multidisciplinary team (pediatric nurse practitioner, psychologist and dietitian) assessed medical and psychosocial histories and dietary habits in 103 children with ASD (mean age = 5.8 ± 2.2 years; range 2-10). Parents rated child mealtime behavior on the Brief Autism Mealtime Behavior Inventory (BAMBI) and disruptive behavior on the Aberrant Behavior Checklist (ABC). Height and weight measurements were collected. Children were classified as FS or no FS based on parent reported intake and mealtime behavior. A 24-hour dietary recall was used to record intake percentages < 80%. Logistic regression and multivariable modeling were used to evaluate clinical correlates with FS. RESULTS: Of 103 children, 45.6% (n = 47) were classified as FS; 54.4% (n = 56) no FS. After adjusting for potential confounders, the odds of FS increased by 1.91 (95% CI: 1.38, 2.64, P < .001) for every half-SD increase in BAMBI total score and by 1.35 (95% CI: 1.05, 1.74, P = .020) for every half-SD increase in ABC Hyperactivity/Noncompliance. No group differences in anthropometrics or nutritional intake were identified. CONCLUSIONS: Food selectivity (FS) in children with ASD was strongly associated with greater severity of disruptive mealtime and hyperactivity/noncompliance behaviors. FS was not associated with anthropometrics or nutritional intake.

Neuromarkers associated with two levels of physical activity in persons with chronic conditions.

Although research has largely focused on the effects of physical activity (PA) on the brain, less is known about the influence of the brain on engagement in healthy-living behaviors, such as regular PA. In this secondary analysis of a study of brain activity and participation in healthy-living behaviors, we examined relationships between the activation of selected brain networks and PA in persons self-managing chronic conditions. Fifty-eight individuals with chronic conditions underwent functional magnetic resonance imaging while exposed to a protocol consisting of listening to emotion-focused and analytic-focused information and measures of activation of three neuromarkers were obtained: default mode network (DMN), task-positive network (TPN), and ventromedial prefrontal cortex (vmPFC). In an exploratory analysis, we assessed differences in neuromarker activation between two PA levels (representing higher and lower accelerometry-measured PA levels) of 1) moderate-to-vigorous physical activity (MVPA) minutes, 2) metabolic equivalents expended (METs), and 3) daily steps. Results showed positive associations between MVPA and DMN (r = 0.31, P = 0.018), steps and DMN (r = 0.28, P = 0.035), and MVPA and vmPFC (r = 0.29, P = 0.026). No associations were found between the TPN and any of the PA measures. Individuals with high MVPA and METs had higher DMN values compared with those with low MVPA (t = -2.17, P = 0.035) and METs (t = -2.02, P = 0.048). No differences in TPN and vmPFC were found among PA levels. These results suggest that providing health information that activates the emotion-focused brain network may be more useful than analytic-focused information (centered on logic and reasoning) to assist people with chronic conditions to engage in more PA.NEW & NOTEWORTHY The influence of the brain on engagement in regular physical activity (PA) has not been well studied. We examined relationships between the activation of three neuromarkers and two PA levels in 58 persons self-managing chronic conditions. Findings suggest that individuals who optimally process health-information when the emotional tone is high (Empathic Network; DMN) may engage in more PA compared with individuals who respond to health information when the emotional tone is low (Analytic Network; TPN).