Frequency of lab HIV and self-reported STI history and its predictors among a sexually compulsive clinical sample: a cross-sectional study
Notice bibliographique
Résumé
Abstract Background and aims Individuals with compulsive sexual behavior (CSB) are at increased risk for sexually transmitted infections (STI) and Human Immunodeficiency Virus (HIV). Aim To investigate the frequency of STIs and HIV in a CSB clinical sample and the associated predictors. Methods A cross-sectional study was conducted between 2012 and 2021 in a specialized outpatient clinic at a large tertiary hospital in São Paulo, Brazil. We disclosed the study through noticeboards in the institution and advertisements on the official website and social media. Participants underwent a psychiatric interview to assess CSB and exclusion criteria. Individuals who sought treatment for difficulty in controlling sexual impulses and got confirmation of a CSB diagnosis were included. Those who did not were included as controls. Healthy volunteers who sought to participate as controls and did not confirm CSB diagnosis were also included. Comprehensive laboratory tests were requested. We investigated sexual compulsivity, impulsivity, patterns of CSB, condomless anal and vaginal sex and sex under the influence of alcohol/drugs, self-reported STI diagnoses or history, and screening tests. Logistic regression analysis was used. Outcomes Laboratory results of HIV tests and self-reported STI diagnoses or history. Results A total of 275 participants (67.5%) met the criteria for CSB, and 132 (32.5%) were eligible as controls. The frequency of HIV in tested participants was 10.8% (n = 23) in the CSB group and 2.4% (n = 2) among controls. Regarding self-reported STI diagnoses or history, 43.9% of CSB outpatients and 17.8% of the control group reported it [χ2(1) = 25.58, P < .001]. The HIV-positive test was associated with self-identifying as gay or bisexual [OR 31.58, 95% CI 4.09-243.72, P < .05] and sex under the influence of drugs [OR 6.49, 95% CI 1.10-38.35] in the final multivariate analysis model, adjusted for other variables. Sexual compulsivity [OR 1.03, 95% CI 1.00-1.07, P < .05], excessive casual sex [OR 1.84, 95% CI 1.07-3.17, P < .05], and self-identifying as of African descent [OR 0.50, 95% CI 0.29-0.88, P < .05] behave as predictors of self-reported STI. Clinical Implications We suggest incorporating frequent and periodic screening tests for HIV/STI in the management protocols of CSB patients, considering the potential morbidity and social burden of STI. Strengths and Limitations To our knowledge, this is the first study investigating the frequency of HIV in a sexually compulsive clinical sample using laboratory tests, including women and participants of diverse sexual orientations. However, the prolonged data collection time was a limitation and many outpatient CSB participants commonly avoided taking exams and even left before this step. Because many tests for non-HIV were missing, self-reported history data of STI were preferred. Sensitivity analyses suggest that sexual orientation may have a modifying effect on the relationship between other predictors and HIV, which should be explored in further studies. Conclusions the current study shows distinct predictors for HIV and STI considering the CSB clinical sample, pointing out specific clinical care and prevention.
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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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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 ».