O2-S6.04 An exploratory survey of male sex workers and HIV risk in an urban area of Southwest China
Bibliographic record
Abstract
Background Little knowledge is available on risk behaviours of HIV and basic demographic characteristics in male sex workers (MSW) in the population of men who have sex with men (MSM) in China. The objective of this study is to explore the risk to HIV/STI of MSW in southwest China through a convenience sample of an HIV surveillance survey of MSM. Method Those who self-reported had been paid for sex or “engaging in money exchange for sex” were identified as MSW or “Money Boys”. Data of the past five cycles (2004–2008) of an HIV surveillance survey were included in this study. Descriptive statistics were employed to describe demographics, sex practices, and HIV prevalence in these male sex workers. Results A total of 117 men self-identified as MSW in five consecutive cross-sectional surveys (2004 n=54, 2005 n=39, 2006 n=45, 2007 n=34, and 2008 n=45). The median age of participants ranged from 25 to 27 years. In the 6 months prior to the survey, the median number of male sex partners ranged from 4 to 11; the median of number of female sex partners ranged from 0 to 2; over 90% (89%–98%) of MSW reported anal sex and 26% of them engaged in group sex; but proportions who reported always using condoms for anal sex were less than 60% (ranged from 28% to 60%). HIV screening positive rate was 9% in both 2007 and 2008 see Abstract O2-S6.04 table 1. HIV positive rate is associated with the number of male sex partners and condom use frequency in both 2007 and 2008. Abstract O2-S6.04 Table 1 Demographic characteristics of men who provided sex services for money in 2008 survey Income US $/month No income 9% <$145 9% $145–285 29% $285–430 20% $430–570 13% >$570 20% Education Primary education 13% Junior high 13% High school 47% University 27% 1st sex partner Male 53% Female 44% Place for soliciting sex partners Bar, dance-hall, tea house, club 31% Bath-house, massage parlour 7% Public place: park, toilet etc. 20% Internet 38% Other 4% Sex orientation Gay 40% Heterosexual 11% Bi-sexual 40% Not sure 9% Last 6 months sex with men 98% Last 6 month sex with women 40% Group sex activity 27% Conclusion MSW have been emerging in the sex trade industry in China. Behavioural risk factors and high prevalence of HIV in the MSW survey sample signalled a need for further understanding of this special population. Effective public health intervention strategy and programs are in urgent demand.
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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 | 0.001 | 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 | 0.001 |
| 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".