Hospital Admissions Related to Mental Disorders in U.S. Army Soldiers in Iraq and Afghanistan
Bibliographic record
Abstract
We conducted a retrospective study of 473,964 U.S. Army soldiers deployed to Iraq and Afghanistan through December 2004 using deployment and admission records. We categorized mental disorder diagnoses using the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) and identified attempted suicide/ self-inflicted injuries using ICD-9-CM diagnosis codes E950-E959. We estimated and evaluated relative risks (RR) using Poisson regression models. Analysis found 1,948 psychiatric hospitalizations of deployed soldiers. The most common mental problems were mood, adjustment, and anxiety disorders (including post-traumatic stress disorder [PTSD]). RR of mental disorders ranged from 1.6 to 3 for females and 2 to 6 for enlisted soldiers compared to their counterparts. Younger soldiers had 30-60% higher substance abuse disorders. Combat units in Iraq demonstrated higher risk of any mental disorder and anxiety problems compared to combat support units. Younger women had the highest incidence of attempted suicide/ self-inflicted injuries. Further mental disorders surveillance is recommended.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".