Epidemiology of suicide attempts in Khorasan Razavi Province, 2014-2015
Bibliographic record
Abstract
Background and Objectives: Suicide is one of the public health challenges. It involves the individual, family, and even society. Epidemiological study of suicide is one of the most important measures in primary prevention and integration program for suicide in primary health care system. This study evaluated cases who attempted suicide in Khorasan Razavi Province in 2014-2015. Methods: This cross-sectional study was performed on individuals who were visited at health care centers of Mashhad University of Medical Sciences from August 2014 to July 2015. Seventeen trained interviewers from 14 countries and three major referral centers collected demographic data, time, reason, and method of suicide. Data were analyzed using descriptive statistics, chi-square test and Mann-Whitney test. P-value<0.05 was considered significant. Results: Totally, 893 individuals were evaluated which was equals to an annual incidence rate of 21.2 per 100000. Seventy-six percent (675) were female and 57% (496) were in the age group 15-24 years. In both genders, married individuals (61%, 543), high school degree (63%, 548) and a monthly income below 160$ were dominant (80%, 438). The most frequent reason and method for committing suicide was family dispute (47%, 380) and drug poisoning (81%, 632), respectively. Conclusion: Suicide is mostly being dealt with caution. However, the very first step is to know the current situation completely, so epidemiological studies can elucidate different dimensions of this public health problem.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".