Alexithymia and Avoidance Coping Following Traumatic Brain Injury
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Individuals who develop maladaptive coping styles after traumatic brain injury (TBI) usually experience difficulty expressing their emotional state, increasing the risk of psychological distress. Difficulties expressing emotion and identifying feelings are features of alexithymia, which is prevalent following TBI. OBJECTIVE: To examine the relations among coping styles, alexithymia, and psychological distress following TBI. PARTICIPANTS: Seventy-one patients with TBI drawn from a head injury clinic population and 54 demographically matched healthy controls. MAIN MEASURES: Toronto Alexithymia Scale-20, Estonian COPE-D Inventory, Beck Depression Inventory-II, and Beck Anxiety Inventory. RESULTS: The participants with TBI exhibited significantly higher rates of alexithymia and psychological distress and lower levels of task-oriented coping than healthy controls. Levels of avoidance coping and psychological distress were significantly higher in a subgroup of TBI patients with alexithymia than in a non-alexithymic TBI subsample. There were significant relations among alexithymia, avoidance coping, and levels of psychological distress. Regression analysis revealed that difficulty identifying feelings was a significant predictor for psychological distress. CONCLUSION: Early screening for alexithymia following TBI might identify those most at risk of developing maladaptive coping mechanisms. This could assist in developing early rehabilitation interventions to reduce vulnerability to later psychological distress.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 it