Bibliographic record
Abstract
Introduction Insomnia affects up to 80% of children with autism spectrum disorder (ASD). Negative consequences of insomnia in ASD include decreased quality of life (QOL), impaired learning and cognition, increased stereotypic and challenging behaviours, and increased parental stress. Cognitive behavioural treatment for childhood insomnia (CBT-CI) is a promising treatment for dealing with insomnia and its negative consequences but has not yet been studied in school-aged children with ASD and comorbid insomnia. Access to healthcare is another challenge for children with ASD, particularly in rural and underserved regions. Previous studies indicate that ASD and insomnia share common arousal-based underpinnings, and we hypothesise that CBT-CI will reduce the hyperarousal associated with insomnia and ASD. This trial will be the first to examine CBT-CI adapted for children with ASD and will provide new information about two different modes of delivery across a variety of primary and secondary child and parent sleep and related outcomes. Knowledge obtained from this trial might allow us to develop new or modify current treatments to better target childhood insomnia and ASD. Methods and analysis Children (N=180) 6–12 years of age with ASD and insomnia will be recruited from an established autism database, a paediatric clinic and community outreach in the Columbia, MO and surrounding areas. Participants will be randomised to CBT-CI adapted for children with ASD (in-person or remote using computers with cameras) or Sleep Hygiene and Related Education. Participants will be assessed at baseline, post-treatment, 6-month and 12-month follow-ups. The following assessments will be completed regarding the children: objective and subjective sleep, daytime functioning (adaptive functioning, attention, challenging behaviours, anxiety), QOL and physiological arousal (heart rate variability) and parents: objective and subjective sleep, daytime functioning (anxiety, depression, fatigue), QOL, physiological arousal and parental burden/stress. Ethics and dissemination Ethics approval was obtained in January 2020 from the University of Missouri. Ethics approval was obtained in July 2020 from the US Army Medical Research and Development Command, Office of Research Protections and Human Research Protection Office. All data are expected to be collected by 2024. Full trial results are planned to be published by 2025. Secondary analyses of baseline data will be subsequently published. Trial registration number NCT04545606; Pre-results.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 0.005 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".