Patterns of sexual behaviour of male patients before testing HIV-positive in a Cambodian hospital, Phnom Penh
Bibliographic record
Abstract
BACKGROUND: Sexual behaviours among HIV-positive male patients in Cambodia have not been fully evaluated. OBJECTIVES: The patterns of sexual behaviours and social factors were compared between married and single men. METHODS: A retrospective cross-sectional survey of 174 male HIV patients was undertaken during March 1999-June 2000 in Phnom Penh. RESULTS: Many participants (61%) reported that they were unaware that their sexual behaviours may have put them at risk of HIV infection. Sexual behaviours included having sex with a sex worker (90%), multiple sexual partners (41%), and both of these behaviours (37%). Two-thirds (69%) reported using a condom when having sex with a sex worker. Condom use with multiple sexual partners was low (24%). A history of condom use with a sex worker was less likely to be reported among married men than single men (P = 0.008). Always using condoms with a sex worker did not differ between married men and single men. Social factors that influenced visiting a sex worker included invitation by a friend (88%), alcohol consumption (74%), and having extra spending money (72%). Multivariate analysis suggests that alcohol consumption (P = 0.008) and having extra spending money (P = 0.02) were strongly associated with visiting a sex worker. CONCLUSIONS: In Cambodia, HIV-infected men frequently reported a history of using sex workers. Having multiple sex partners or using a sex worker and multiple sexual partners were not rare. Interventions should target men in settings where alcohol is consumed and to encourage married men to use condoms.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| 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 | 0.000 | 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".