Anxiety, Depression, and Quality of Life: A Long-Term Follow-Up Study of Patients with Persisting Concussion Symptoms
Bibliographic record
Abstract
Persisting concussion symptoms (PCS) can last for months, years, or indefinitely and affect a considerable number of concussion patients. The objectives of this study were to evaluate the prevalence of clinical symptoms of anxiety and depression and the relationship between PCS and quality of life in patients examined at the Canadian Concussion Centre. The Depression and Anxiety Stress Scale-42 (DASS-42) and the World Health Organization Quality of Life Assessment–BREF (WHOQOL-BREF) were sent to 526 adult patients diagnosed with PCS. Median with interquartile range follow-up time was 5 (4–7) years. Of the 105 respondents, 35.2% displayed mild or greater symptoms of anxiety, depression, or both. Importantly, the number of previous concussions was correlated with elevations on the DASS-42 Anxiety ( p = 0.030) and Depression ( p = 0.018) subscale scores, suggesting an acquired cause of symptoms. Patients with clinical elevations of depression, anxiety, or both exhibited poorer mean WHOQOL-BREF scores in each domain ( p < 0.001) compared to those who scored in the normal range on the DASS-42. These findings indicate that depression and anxiety in PCS can endure for years and are associated with diminished quality of life. Consequently, depression and anxiety should be identified and treated early in PCS populations in order to optimize recovery. Although the underlying etiology of depression and anxiety cannot be ascertained with certainty in the present study, the association between depression and anxiety and the number of concussions may indicate an organic explanation. In the future, quality-of-life measures should be incorporated into treatment and research in PCS to improve intervention strategies and enhance understanding of the trajectory of recovery in this population.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".