A prospective population-based study of suicidal behavior by burns in the province of Ilam, Iran
Bibliographic record
Abstract
The aim of the study was to examine epidemiologic characteristics of suicidal behavior by burns requiring hospitalization in the province of Ilam, Iran. A prospective population-based study of all suicidal behaviors by burns requiring hospitalization was conducted in the province of Ilam, Iran, from March 21, 2005 to March 20, 2006. Data were obtained from patients, family members, and/or significant others through interviews during the course of hospitalization. A total of 51 patients with suicidal behavior by burns requiring hospitalization were identified during the study period, representing an overall incidence rate of 12.5 per 100,000 person-year (P-Y). Females had a higher rate of suicidal behavior by burns than males (18.0 vs. 7.2 per 100,000 P-Y) (P < 0.001). The age-specific rate of suicidal behavior by burns peaked at age group 20–29 years. The rate of suicidal behavior by burns was slightly higher among married persons than single persons, although not statistically significant (13.5 vs. 9.8 per 100,000 P-Y) (P = 0.25). The rate of suicidal behavior by burns among the rural population was significantly higher than the urban population (17.9 vs. 9.3 per 100,000 P-Y) (P = 0.02). The most frequent precipitating factor for suicidal behavior was marital conflicts. The high rate of suicidal behavior by burns among young, married women in Ilam is an alarming social tragedy. Despite substantial efforts toward improving health and human rights, persistent conditions allow violence against women in Iran and that these women continue to turn to the desperate remedy of self-burning.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".