Misperception of sleep duration in mild traumatic brain injury/concussion: a preliminary report
Bibliographic record
Abstract
Background: Polysomnographic (PSG) findings of persons with mild traumatic brain injury (mTBI)/concussion show longer total sleep time than patients themselves report; the reason for this is not entirely clear.Objective: This study aimed to elucidate the socio-demographic, brain-injury-related, and clinical characteristics that underlie accuracy of sleep duration reporting in mTBI/concussion.Methods: Thirty-seven participants diagnosed with mTBI/concussion (57% male, 47.54 ± 11.3 years old) underwent clinical and neuroimaging examinations, full-night PSG, and estimated sleep duration following PSG.Results: Mean self-reported sleep duration was 342 ± 93.6 minutes and PSG-measured sleep duration was 382 ± 76.8 minutes. Measurements were moderately correlated (rho = 0.46, p = .004). Age associated with self- and PSG-measured sleep duration (rho = 0.34 and rho = 0.84, respectively, p < .05). Self-reported sleep duration was uniquely associated with insomnia severity (rho = −0.48, p = .002). In the fully adjusted multivariable regression analysis, several clinical characteristics of patients explained 30% of the discrepancy between self- and PSG-measured sleep duration.Conclusion: The observed results indicate that persons with mTBI do not accurately assess their sleep duration and, therefore, PSG is warranted in clinical situations where sleep duration is of concern.
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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 | 0.001 | 0.005 |
| 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 | 0.001 |
| 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".