Suicidal Behavior by Burns in the Province of Fars, Iran
Bibliographic record
Abstract
BACKGROUND: While suicide by burns is a relatively uncommon form of suicide in developed countries, it is one of the most common methods of suicide in the Middle East region including Iran. AIMS: To describe epidemiologic characteristics of suicidal behaviors by burns in the province of Fars, Iran. METHODS: A prospective population-based study of all suicidal behaviors by burns requiring hospitalization was conducted in the province of Fars, 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. RESULTS: A total of 125 patients with suicidal behavior by burns requiring hospitalization were identified during the study period, representing an overall incidence rate of 4.3 per 100,000 (95% Confidence Interval [CI]: 3.6-5.1). Females (6.2 per 100,000) had a higher rate of suicidal behavior by burns than males (2.4 per 100,000; p < .001). The age-specific rate of suicidal behavior by burns peaked at age 20-29 years (10.1 per 100,000). The rate of suicidal behavior by burns was higher among single (7.2 per 100,000) vs. married persons (4.2 per 100,000; p = 0.03). Single males aged 20-39 years and young married women aged 15-29 years were at greatest risk of suicidal behavior by burns. The most common precipitating factor (74.4%) for suicidal behavior was a quarrel with a family member, a relative, and/or a friend. CONCLUSIONS: The high rate of suicidal behavior by burns among young/married women in Fars is of concern. Social, cultural, and economic factors may contribute to suicidal behavior and need to be addressed through education, support, and commitment.
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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 | 0.001 | 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 | 0.000 |
| 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".