O2-S6.03 Heterogeneity of HIV risk: female sex worker clients and their non-commercial sexual partners in south India
Notice bibliographique
Résumé
Introduction Clients of female sex workers (FSWs) are an important bridging population for the further transmission of HIV and other sexually transmitted infections (STIs). However, the extent of risk to non-commercial partners (NCP) of clients has rarely been quantified. This study sought to characterise the risk behaviours of clients with both non-commercial and commercial partners. Methods Data were collected from a cross-sectional integrated behavioural and biological survey of FSW clients from five districts in Karnataka state, southern India. Clients were classified into three groups: married (and thus with an NCP); unmarried with at least one NCP; and unmarried without an NCP. Bivariate and multivariable logistic regression models were constructed to examine the association between group membership and condom use patterns with regular and casual FSWs, and where applicable, non-commercial partners. Associations between the prevalences of HIV, HSV-2, syphilis, gonorrhoeal and chlamydial infections and group membership were examined in multivariable models. Normalised weights were used to account for a complex sampling design. Results The total sample size was 2328. Most respondents (61%) were married, 9% were unmarried with an NCP, and 30% were unmarried without an NCP. Married clients were, on average 9 years older (34 vs 24.8 years), and had been visiting FSWs for an average of 12 years, vs 4 years in the other two marital categories. Compared to respondents without an NCP, married clients were at higher odds of reporting never using condoms with both casual (AOR: 1.8; 95% CI:1.3% to 2.4%, p<0.0001) and regular (AOR:1.8; 95% CI 1.2% to 2.7%, p=0.009) FSWs. Among the two groups reporting an NCP, 91% of married respondents reported never using condoms with their NCP, compared to 62% of unmarried clients (AOR: 5.2; 95% CI 3.3% to 8.1%, p<0.0001). HIV prevalence was 6 %, 5% and 8% among those that were married, those unmarried without an NCP, and those unmarried with an NCP, respectively (p=0.384). For the same groups, HSV-2 prevalence was 37%, 16% and 19% (p<0.0001). In adjusted analyses, married respondents remained at highest odds of being infected with HSV-2 (AOR: 1.5; 95% CI 1.1% to 2.1%, p=0.006). Conclusion Married respondents were least likely to use condoms with both commercial and non-commercial sexual partners, while also having the highest prevalence of HSV-2. These findings illustrate the high risk posed to both commercial and non-commercial partners of married clients of FSWs.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,084 | 0,005 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».