Factors Associated With Numbers of Client Partners of Female Sex Workers Across Five Districts in South India
Bibliographic record
Abstract
BACKGROUND: This study investigated the structural-environmental and individual-level social factors associated with the numbers of commercial sex clients of female sex workers (FSWs) per month (CPM). METHODS: Data were analyzed from cross-sectional surveys of FSWs in 5 districts in Karnataka state, India (2004-2005). Bivariate and multivariable negative binomial regression models with generalized estimating equations were constructed for each district. Normalized weights were used to account for complex sampling design. RESULTS: Median (average) CPM varied significantly (P < 0.001) across districts, from 40.0 (56.9) CPM in the district with the highest immunodeficiency virus prevalence (33.9%) to 16.0 (26.1) in the district with the lowest prevalence (9.7%). In multivariable analysis, there was a significant positive association between rates of CPM and sex work as sole income in 4 districts (adjusted incidence rate ratios, AIRR: [95% confidence intervals]: AIRR: 1.3 [1.0-1.7], P < 0.005-1.7 [1.2-2.5], P < 0.01); age, typology (place of solicitation), and marital status were significantly associated with CPM in 3 districts, with an inverse association between age and CPM (P < 0.01). FSWs soliciting clients in brothels had higher rates of CPM than home-based FSWs in 2 districts (AIRR: 1.5 [1.1-2.0]-1.6 [1.0-2.7], P < 0.05), whereas public places-based FSWs had higher rates in 1 district (AIRR: 1.4 [1.1-1.8], P < 0.01); cohabiting FSWs had higher rates than married FSWs in 3 districts, whereas single FSWs had higher rates in one district. CONCLUSIONS: These results provide support for the continued development of structural core group interventions that address common elements of sex work placing FSWs at higher risk for immunodeficiency virus, as well as geographically focused programs that account for local differences in sexual structure.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".