Sleep Disturbances and Neurobehavioral Performance in Juvenile Idiopathic Arthritis
Bibliographic record
Abstract
OBJECTIVE: To examine the extent of polysomnographic (PSG) sleep disturbances [obstructive apnea hypopnea index (OAHI), number of wake bouts, arousals, periodic limb movements] and the effect of OAHI on neurobehavioral performance in juvenile idiopathic arthritis (JIA) with obstructive sleep apnea (OSA), JIA without OSA, and controls without OSA, adjusting for intelligence quotient (IQ), pain, medications, daytime sleepiness, and wake bouts. METHODS: Children 6-11 years, 68 with JIA and 67 controls, underwent 1 night of PSG and completed self-reported daytime sleepiness surveys, multiple sleep latency tests for physiological sleepiness, and neurobehavioral performance tests the next day. RESULTS: Compared with JIA and controls without OSA, mean OAHI and arousals were significantly higher in JIA with OSA (p < 0.001, respectively). In comparison with JIA and controls without OSA, mean simple reaction time and sustained attention were significantly slower in JIA with OSA, adjusting for IQ, pain, any medication, daytime sleepiness, and wake bouts. CONCLUSION: Elevated OAHI is suggestive of obstructive sleep apnea and a comorbidity in JIA that may predispose children with JIA to daytime sleepiness and impaired neurobehavioral performance.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".