A Cross-Sectional Study of Sexually Transmitted Pathogen Prevalence and Condom Use With Commercial and Noncommercial Sex Partners Among Clients of Female Sex Workers in Southern India
Bibliographic record
Abstract
BACKGROUND: Clients of female sex workers (FSWs) are an important bridging population for HIV and other sexually transmitted infections. However, the extent of risk to female noncommercial partners (NCPs) of clients has not been explored. METHODS: Data originated from a cross-sectional behavioral and biological survey of FSW clients from 5 districts in Karnataka state, southern India. Clients were classified into 3 groups: married, single with at least 1 NCP, and single without an NCP. Bivariate and multivariable logistic regression models were constructed to examine the association between group membership and condom use patterns with FSWs and, where applicable, NCPs. HIV, herpes simplex virus type 2 (HSV-2), and other sexually transmitted infections were examined. Normalized weights were used to account for a complex sampling design. RESULTS: Most respondents in our sample (n = 2328) were married (61%). Compared with single respondents without an NCP, married clients were more likely to never use condoms with both occasional (adjusted odds ratio [AOR], 1.8; 95% confidence interval [CI], 1.3-2.5; P < 0.0001) and regular (AOR, 1.7; 95% CI, 1.1-2.6; P = 0.015) FSWs. Among clients with an NCP, married clients were at higher odds of never using a condom with their NCP (AOR, 5.5; 95% CI, 3.7-8.1; P < 0.0001). Overall prevalence for HIV, HSV-2, syphilis, and chlamydia or gonorrhea infection was 5.7%, 28.3%, 3.6%, and 2.1%, respectively. The prevalence of HSV-2 was 37%, 16%, and 19% among those who were married, those single without an NCP, and those single with an NCP, respectively. CONCLUSIONS: Married respondents were least likely to use condoms with both commercial and noncommercial sexual partners, while also having the highest prevalence of HSV-2. These results illustrate the risk posed to both commercial partners and NCPs of married clients.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".