Predictors of posttraumatic stress disorder among police officers: A prospective study.
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
This prospective study examined risk and protective factors in the development of posttraumatic stress disorder (PTSD) in a sample of 83 police officers. Structured interviews were conducted in order to assess the most recent work-related traumatic event and establish diagnoses of acute stress disorder (ASD) and full or partial PTSD. Police officers were assessed between 5 and 15 days, and at 1 month, 3 months, and 12 months after the event. They also completed self-administered questionnaires assessing several potential predictors. Predictive analyses about the onset of PTSD were based on a 4-step nested random-effect linear regression. Overall, results showed that the modulation of PTSD symptomatology was associated with some pretraumatic (i.e., emotional coping strategies and number of children), peritraumatic (i.e., physical and emotional reactions and dissociation), and posttraumatic factors (i.e., ASD, depression symptoms, and seeking psychological help at the employee assistance program and at the police union between the event and Time 1). Clinical implications of these findings are discussed and key directions for future studies are proposed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.010 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 it