Shining light on darkness: suicidal ideation and suicide attempt among Iranian women who do and do not use drugs
Bibliographic record
Abstract
Background Illicit drug use and dependence is a well-established risk factor for self-harm and suicide. The present comparative study aimed to evaluate the prevalence of suicidal ideation and suicide attempt among Iranian women.Methods With a cross-sectional design, a total of 787 Iranian women who reported using illicit drugs and 406 women without drug use history were recruited and invited to answer questions regarding their socio-demographic status, individual health conditions, interpersonal information, e.g. experience of sexual, verbal, or physical violence, illicit drug use, and history of suicidal ideation and suicide attempt. Data were collected through gender-matched interviews. Generalized Linear Models (GLM) with Poisson family and log link function were used to report adjusted prevalence ratios (APR) of the associated factors of the study outcomes.Results The mean age (SD) of women with and without drug use was 34.3 (9.2) and 30.5 (11.0) years, respectively. Prevalence of lifetime history of both suicidal ideation (38.54 vs 19.01%) and suicide attempt (26.25 vs 6.55%) was significantly higher among women reporting drug use compared to those reporting no drug use. The APR of the associated factors ranged from 1.8 to 3.1 and from 3.3 to 4.8 for suicidal ideation and suicide attempt, respectively.Conclusion Women who use drugs are at greater risk of suicidal ideation and suicide attempt compared with their peers who do not use drugs. Although further studies are required to explore possible causal relationships between drug use and suicide among Iranian women, a comprehensive package of care and treatment in addition to predominantly drug-related harm reduction programs may help address such critical health issues among Iranian women who use drugs.
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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".