Bibliographic record
Abstract
The objectives of this study were to determine if (1) children with migraine experience greater sleep disturbances than their siblings, (2) those with more severe migraine have greater levels of sleep disruption, and (3) these sleep disturbances lead to greater behavioral problems and more missed school. Children aged 6 to 18 years with a diagnosis of migraine for > 6 months, who had at least one sibling without migraine in the same age range, were identified through our neurology clinic database or at the time of the clinic visit. Parents completed the (1) demographic, general health, and migraine information questionnaire; (2) Child Sleep Habits Questionnaire; and (3) Behavior Assessment System for Children: Second Edition (BASC-2) Parent Rating Scales for each child. Cases with migraine had higher total sleep (P < .02), sleep delay (P < .03), and daytime sleepiness scores (P < .001) than controls. Cases with more severe migraines had higher total sleep (P < .01) and sleep duration scores (P < .03) than those with milder headaches. In cases, higher total sleep scores predicted greater behavior problems on all four composite scales on the Behavior Assessment System for Children: Second Edition (Externalizing Problems, P < .05; Internalizing Problems, P < .005; Behavior Systems Index, P < .003; and Adaptability Skills, P < .006). We conclude that children with migraine are prone to greater sleep and behavioral disturbances than children without headache. Sleep disorders should be routinely queried and appropriate advice on sleep hygiene provided.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".