PTSD and depression following armed robbery: Patterns of appearance and impact on absenteeism and use of health care services
Bibliographic record
Abstract
Armed robbery is a sudden, life-threatening event affecting the victims' mental health. Posttraumatic stress disorder (PTSD) and major depressive disorder (MDD) in this population have rarely been studied. The objectives of the study were to assess the occurrence of PTSD and MDD in victims of armed robbery, and to evaluate occupational functioning and use of health care services. Eighty-six convenience store employees, victims of armed robbery, were evaluated within days after the robbery, and 1 and 3 months after. A validated diagnostic interview (SCID-I) was used. Data about sick leave, absenteeism, and use of health care services were collected. The total number of individuals who had PTSD, MDD, or both at any time during the 3 months following the robbery was 1 (2%), 4 (6%), and 5 (8%), respectively, showing that comorbid PTSD-MDD is as frequent as or even more frequent than either disorder in isolation. Individuals with PTSD (with or without comorbid MDD) reported more absenteeism (η(2) (p) = .25) and more medical visits (η(2) (p) = .12) following the robbery. Clinicians and management resources personnel must be alert to the possibility that both PTSD and MDD, either alone or comorbid, can develop in victims of armed robbery.
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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) | 0.001 | 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 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".