Anxiety Sensitivity and Alexithymia as Mediators of Postconcussion Syndrome Following Mild Traumatic Brain Injury
Bibliographic record
Abstract
OBJECTIVE: To examine the influence of anxiety sensitivity (AS) and alexithymia as potential mediators for the development of psychological distress and postconcussion syndrome after mild traumatic brain injury (mTBI). PARTICIPANTS: Sixty-one patients with mTBI assessed at a mean of 2.38 weeks after injury and demographically matched healthy controls (n = 61). MEASURES: Twenty-item Toronto Alexithymia Scale, Anxiety Sensitivity Index, State-Trait Anxiety Inventory, and Rivermead Post Concussion Questionnaire. RESULTS: The mTBI group reported significantly higher levels of AS, alexithymia, psychological distress, and postconcussion (PC) symptom scores than controls. High AS and alexithymia in the mTBI group were associated with a greater number of PC symptoms and higher levels of psychological distress than patients scoring low on these measures and controls. In the mTBI group, a combination of AS and low mood explained 52.6% of the variance in PC symptom reporting. A combination of trait-anxiety, alexithymia, and PC symptoms explained 77.2% of the variance in levels of mood. CONCLUSION: A combination of low mood and high AS may act as a psychological diathesis for the development of persisting PC symptoms. Early identification could provide a focus for early intervention to prevent the development of postconcussion syndrome after mTBI.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".