Risk Factors for Posttraumatic Stress Disorder in Persons With Spinal Cord Injury
Bibliographic record
Abstract
PURPOSE: Many of the events that cause spinal cord injury (SCI) are traumatic events that can result in posttraumatic stress disorder (PTSD). It therefore appears that most persons with SCI are at risk for developing PTSD. This study retrospectively examined risk factors for PTSD symptoms in a sample of 71 persons with SCI. METHOD: The Structured Clinical Interview for DSM-IV was used to assess full and partial PTSD diagnoses. Self-administered questionnaires were used to measure potential risk factors. RESULTS: Results indicated that 11% of the participants met the criteria for full PTSD, and an additional 20% met the criteria for partial PTSD at some point after their SCI. Hierarchical linear regression analyses revealed that trauma history, peritraumatic reactions, and intolerance of uncertainty predicted the number of PTSD symptoms. CONCLUSION: This study highlights the importance of trauma history, peritraumatic reactions, and intolerance of uncertainty in the development of PTSD symptoms. Patients at risk for PTSD should be identified early in the rehabilitation process and could benefit from psychological interventions with the aim of preventing PTSD development.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".