Early sex work initiation and its association with condomless sex and sexually transmitted infections among female sex workers in Iran
Bibliographic record
Abstract
Early sex work initiation among female sex workers (FSWs) increases their vulnerabilities to high-risk sexual practices and sexually transmitted infections (STIs). We examined the association of early sex work with condomless sex indicators, HIV, and other STIs, including human papillomavirus, chlamydia, trichomoniasis, syphilis, and gonorrhea, among FSWs in Iran. We recruited 1347 FSWs from 13 cities in 2015, with 1296 participants (94.2%) reporting information about their age of sex work initiation. Early sex work was defined as the initiation of selling sex before 18 years of age. Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were reported using multivariable logistic regression. Overall, 10.1% of FSWs reported early sex work initiation. FSWs who initiated sex work earlier were more likely to report last-month inconsistent condom use (aOR = 3.31, 95% CI: 1.82, 6.02) and condomless sex with last client (aOR = 1.72, 95% CI: 1.15, 2.56). There was no statistically significant association between early sex work and HIV (aOR = 1.40, 95% CI: 0.43, 4.53) and any other STIs (aOR = 1.01, 95% CI: 0.69, 1.48), except for chlamydia (aOR = 2.09, 95% CI: 1.08, 4.04). These findings suggest that FSWs with early sexual debut would benefit from differentiated interventions including screening for STIs and enhanced counseling for condom use.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".