0917 ARE SLEEP DIFFICULTIES ASSOCIATED WITH GASTROINTESTINAL DISORDERS IN CHILDREN WITH AUTISM?
Bibliographic record
Abstract
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by impaired social functioning and restricted repetitive behaviors, interests and activities. Insomnia and gastrointestinal disorders (GID) are among the most frequently reported comorbidities in ASD and they deteriorate the clinical picture. Here we report on sleep in ASD children with and without treatments for GID. We reviewed the medical charts of 262 patients from a specialized sleep clinic for children with mental health disorders. Four groups matched for age, sex and body mass index were extracted: 16 ASD children treated for GID (ASD+GID: 6.3 ± 0.9 years), 16 untreated ASD children (ASD: 6.25 ± 0.87 years), 16 non-ASD children treated for GID (nonASD+GID: 7.08 ± 0.99 years) and 13 healthy controls (CN: 7.08 ± 0.99 years). All completed two clinical sleep scales: the Children’s Sleep Habits Questionnaire (CSHQ) and the OWL-SI (a 9-item inventory adapted from the CSHQ (Jaworski M et al., Sleep 2016, 39 (suppl.): A328). A standard sleep questionnaire, including sleep latency, number of awakenings and total sleep time was also filled by all. ASD children not treated for GID were reported more frequently to sleep poorly on the OWL-SI than ASD children who were treated (p=.05). This effect was due to an increased index of nocturnal hyperarousal (p=.05). The CSHQ did not reveal significant differences between these 2 groups. No differences were found between the nonASD+GID and the CN groups on these 2 scales but the nonASD+GID children reported waking up more often at night than CN children on the standard sleep questionnaire (p<0.01). These results suggest that poor sleep and GID potentiate each other in children and point toward the need for assessment of GID in children with poor sleep, including those with ASD. Fondation Les Petits Trésors de l’Hôpital Rivière-des-Prairies and the COPSE program for undergraduate students, Université de Montréal.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".