Epidemiology of Suicide by Burns in the Province of Isfahan, Iran
Bibliographic record
Abstract
The aim of the study was to determine epidemiologic features and factors associated with suicidal behaviors by burns requiring hospitalization in the province of Isfahan, Iran. A prospective population-based study of all suicidal behaviors by burns requiring hospitalization was conducted in the province of Isfahan, Iran, from March 21, 2005 to March 20, 2006. Data were obtained from patients, family members, and/or friends through interviews during the course of hospitalization. A total of 89 patients ages 13 to 62 years with suicidal behaviors by burns were identified during the study period, representing an overall incidence rate of 2.9 per 100,000 persons-year (P-Y; 95% confidence interval 2.3-3.5 per 100,000 P-Y). Females (4.7 per 100,000 P-Y) had a higher rate of suicidal behavior by burns than males (1.2 per 100,000 P-Y; P < .001). The age-specific rate of suicidal behavior by burns peaked at age group 20 to 29 years (6.3 per 100,000 P-Y). Among the population aged 15 to 29 years, married women had a higher rate of suicidal behavior by burns (9.3 per 100,000 P-Y) than single women (6.6 per 100,000 P-Y). The highest rate of suicidal behavior by burns was found among the unemployed population (17.7 per 100,000 P-Y). The most frequent precipitating factor for suicidal behavior was a quarrel with a family member, relative, and/or friend (61.8%). Depression and anxiety disorders were the most frequent psychiatric comorbidities associated with suicidal behaviors. Mortality rate caused by suicidal behavior by burns was 1.4 per 100,000 P-Y. A high rate of suicidal behavior among young and mostly married women in the province of Isfahan is a tragedy and great concern. Social, cultural, and economical factors may contribute to suicidal behavior in Isfahan, and they need to be addressed through education, support, and commitment. Findings of this study can be used for implementation of a preventive program(s) to reduce the incidence of suicide among high risk groups.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".