Sleep before and after work-related concussion: Sex differences in effects and functional outcomes
Bibliographic record
Abstract
BACKGROUND: Recent studies have started disentangling components of disturbed sleep as part of the post-concussive syndrome, but little is known about the workers with an injury' perspectives on post-injury sleep changes or what causes these changes. OBJECTIVES: To determine the effects of work-related concussion/mild traumatic brain injury (wr-mTBI) on perceptions of refreshing sleep in workers with an injury and to identify the relevant factors responsible for sleep changes. METHODS: We studied post-concussive changes in sleep in 66 adults (50% male workers, 42% aged 30-50 years, median post-injury days: 155) who had sustained wr-mTBI and experienced functional limitations long after the injury. We collected sociodemographic, occupational and health status data and identified variables related to post-concussive changes in refreshing sleep. RESULTS: Forty-seven workers with wr-mTBI (79% of male workers, 64% of female workers) perceived their sleep as being refreshing before injury and unrefreshing afterwards (χ2 = 67.70 for change, χ2 = 27.6 for female and χ2 = 41.1 for male workers, p < 0.0001). Post-concussive losses in refreshing sleep were associated with socio demographic, occupational, and health status data variables. Sex stratification revealed differences between male and female workers. CONCLUSIONS: Workers with wr-mTBI experience clinically meaningful changes in refreshing sleep that are associated with modifiable variables. The observed differences in functional outcomes between male and female workers warrant further study.
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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) | 0.003 | 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".