Cross-Lagged Associations Among Sleep, Headache, and Pain in Pediatric Mild Traumatic Brain Injury: An A-CAP Study
Bibliographic record
Abstract
OBJECTIVE: To test cross-lagged associations among sleep, headache, and pain in pediatric mild traumatic brain injury (mTBI). SETTING, PARTICIPANTS, DESIGN: Children and adolescents aged 8.0 to 16.9 years who sustained a mTBI and presented to 1 of 5 pediatric emergency departments across Canada completed assessments at 1-week, 3 months, and 6 months post-injury as part of a larger prospective cohort study. MAIN MEASURES: Sleep disturbance was measured using 7 sleep items from the Child Behaviour Checklist. Sleep duration was measured using average weekday and weekend sleep from the Healthy Lifestyle Behaviours Questionnaire. Pain intensity was measured using an 11-point numerical rating scale. Headache severity and associated functional impairment were measured using the Headache Impact Test and 1 item from the Health and Behaviour Inventory. Analyses included trivariate-indicator random-intercept cross-lagged panel models. RESULTS: Of 633 recruited children, 563 were included in the current study. Headache showed significant within-person, bidirectional, cross-lagged associations with sleep disturbance and duration, as well as with pain intensity. More specifically, worse headache predicted greater sleep disturbance (1-week to 3 months and 3 months to 6 months: B s = .47, P s ≤ .013) and shorter sleep duration (1-week to 3 months: B = -.21, P = .006), while greater sleep disturbance predicted worse headache (1-week to 3 months: B = .08, P = .001). Worse headache also predicted higher pain intensity (1-week to 3 months & 3 months to 6 months: B s ≥ 1.27, P s < .001), while higher pain intensity predicted worse headache (3 months to 6 months: B s ≥ .03, P s ≤ .042). No cross-lagged associations involving sleep disturbance or duration with pain intensity were significant. CONCLUSIONS: Significant bi-directional, cross-lagged associations exist between headache and both sleep and pain. The findings suggest that early intervention for headaches may help prevent later sleep disturbance and pain after pediatric mTBI.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".