Chronic Stress and Fatigue-Related Quality of Life After Mild to Moderate Traumatic Brain Injury
Bibliographic record
Abstract
OBJECTIVE: To determine relationships among chronic stress, fatigue-related quality of life (QOL-F), and related covariates after mild to moderate traumatic brain injury (TBI). DESIGN: Observational and cross-sectional. PARTICIPANTS: A total of 84 community-dwelling individuals with mild to moderate TBI recruited from multiple out patient rehabilitation clinics assessed on average 15 months after injury. METHOD: Self-report surveys and chart abstraction. MEASURES: Neurofunctional Behavioral Inventory, Perceived Stress Scale-14, Impact of Events Scale, McGill Pain Short-form Scale, and modified version of the Fatigue Impact Scale. RESULTS: QOL-F was associated with somatic symptoms, perceived situational stress, but not with event-related stress (posttraumatic stress disorder symptoms) related to index TBI, preinjury demographic, or postinjury characteristics. Somatic symptoms and chronic situational stress accounted for 42% of the variance in QOL-F. CONCLUSIONS: QOL-F in community-dwelling individuals with mild to moderate TBI is associated with chronic situational stress and somatic symptoms. Symptom management strategies may need to include general stress management to reduce fatigue burden and improve quality of life.
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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".