Peritraumatic distress but not dissociation predicts posttraumatic stress disorder in the elderly
Bibliographic record
Abstract
BACKGROUND: Post-traumatic stress disorder (PTSD) is a severe anxiety disorder whose symptoms include re-experiencing, avoidance, and hyperarousal after a particularly intense event. In view of the aging of the population, increased clinical knowledge is required for better understanding of PTSD in the elderly. Extending previous research in this field in adults and children, the aim of our study was to assess the utility of peri-traumatic dissociation and distress as a predictor of PTSD in the elderly. METHODS: A prospective longitudinal study was conducted in a consecutive cohort of subjects aged 65 years and over admitted to emergency departments after a physical assault or a road traffic accident. Peri-traumatic responses of distress and of dissociation were measured. One, 6, and 12 months after trauma exposure, PTSD symptoms and diagnosis were assessed using both a dimensional and a semistructured interview. RESULTS: Thirty-nine male and female participants with an average age of 72.4 years were recruited. Mixed model regression analyses did not detect a significant effect of age, sex, nor time. Significant associations were detected between peri-traumatic distress and the self-report PTSD Checklist (p = 0.008), as well as the Clinician-administered PTSD scale (p = 0.03). No association was detected between peri-traumatic dissociation and PTSD. CONCLUSIONS: Peri-traumatic distress predicts PTSD symptoms and diagnosis in the elderly, thereby suggesting its systematic evaluation at the emergency department would be a worthwhile thing to do.
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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 | 0.000 | 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) | 0.001 | 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 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".