Burns and Mental Health
Bibliographic record
Abstract
OBJECTIVE: To determine the association between burns and hospitalization for mental health disorders up to 3 decades later. BACKGROUND: Burns are associated with pain, disability, and scarring, but the long-term impact on mental health is unclear. METHODS: We analyzed a cohort of 23,726 patients with burns aged ≥10 years who were matched to 223,626 controls from Quebec, Canada, between 1989 and 2022. The main exposure was admission for a burn. We followed patients during 3,642,206 person-years of follow-up to identify future hospitalizations for psychiatric disorders, substance use disorders, and suicide attempts. We estimated adjusted hazard ratios (HRs) with 95% CIs for the association between burns and subsequent mental health hospitalization using Cox proportional hazards regression. RESULTS: Patients with burns had a 1.76 times greater risk of mental health hospitalization over time (95% CI: 1.72-1.81), compared with controls. Associations were present regardless of burn site, but were greatest for burns covering ≥50% of the body (HR: 3.29, 95% CI: 2.61-4.15), third-degree burns (HR: 2.04, 95% CI: 1.94-2.14), and burns requiring skin grafts (HR: 2.00, 95% CI: 1.90-2.10). Compared with controls, patients with burns had more than two times the risk of hospitalization for eating disorders (HR: 3.14, 95% CI: 2.50-3.95), psychoactive substance use disorders (HR: 2.27, 95% CI: 2.17-2.39), and suicide attempts (HR: 2.42, 95% CI: 2.23-2.62). Risks were particularly elevated within 5 years of the burn but persisted throughout follow-up. CONCLUSIONS: Burns are associated with an increased risk of hospitalization for mental health disorders up to 30 years later.
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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) | 0.000 | 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".