Induced abortion and associated factors among female sex workers in Iran
Bibliographic record
Abstract
Objectives Induced abortion is an occupational hazard for female sex workers (FSWs). This study aimed to examine the prevalence and factors associated with induced abortion among FSWs in Iran.Methods 1337 FSWs aged ≥18 years who reported selling sex to more than one male client in the past 12 months were recruited in 13 major cities in Iran between January and August 2015. Bivariable and multivariable modified Poisson regression models were constructed to examine the correlates of induced abortion. Adjusted prevalence ratios (APRs) with 95% confidence intervals (CIs) were reported.Results Lifetime induced abortion was reported by 621 of 1335 participants (46.5%; 95% CI 43.8, 49.2). Older age (APR for ≥ 35 vs. < 25 years, 1.46; 95% CI: 1.03, 2.07), having ever been married (APR 1.58; 95% CI 1.05, 2.39), having ever worked in a brothel (APR 1.19; 95% CI 1.02, 1.38) and a lifetime history of being raped (APR 1.19; 95% CI 1.03, 1.38) were significantly associated with lifetime induced abortion (all p < 0.05).Conclusion The high prevalence of induced abortion among FSWs in Iran is concerning. Evidence-informed programmes targeting FSWs in Iran would improve their knowledge and encourage contraceptive use as well as promote pregnancy prevention and post-abortion care.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".