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Unpacking “High-Risk”: A Latent Class Analysis of Sexual Partnership Patterns and HIV Transmission Risk Among Gay, Bisexual, and Other Men Who Have Sex With Men in Perú

  • Reni Forer(corresponding author)
    ,
  • Jesse L. Clark
    ,
  • Jessica Gutierrez
    ,
  • ,
  • Rolando Valladares
    ,
  • Jose L. Castro
*Corresponding author for this work
  • University of Michigan Schools of Medicine and Public Health
    ,
  • University of California Los Angeles
    ,
  • South American Program in HIV Prevention Research (SAPHIR)
    ,
  • David Geffen School of Medicine at UCLA
    ,
  • Department of Medicine
    ,
  • Asociación Civil Via Libre
Research Output:
Contribution to journal
Article
Peer-review

Open access

Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 999-1006 (8 pages)

Journal (Volume, Issue Number)

Journal of Acquired Immune Deficiency Syndromes (1999) (Volume 101, Issue 9)

Publication milestones

  • Published - 09/2026

Publication status

Published - 09/2026

ISSN

1525-4135

Publication IDs

  • Scopus: 105047055568
  • PubMed: 42357994

Abstract

Background: – Gay, bisexual, and other men who have sex with men (GBMSM) are often considered a homogenous “high-risk” group. We aimed to differentiate subgroups based on participants' last sexual partner and explore associations with HIV transmission risk factors. Setting: – We utilized cross-sectional data (06/2022 to 03/2023) from “high-risk” GBMSM in Lima, Perú. Methods: – Participants included cisgender men and gender nonconforming adults assigned male at birth reporting condomless anal sex with ≥1 serodiscordant or unknown serostatus cisgender man or transgender woman in the past 6 months. Latent class analysis was performed using the last sexual partner characteristics, including partner type, sexual role, and condomless anal sex position. Multinomial logistic regression examined HIV risk factors associated with latent classes, including drug use, transactional sex, sexually transmitted infection diagnosis, sexual identity, hazardous alcohol use, and number of anonymous partners. Results: – From 2119 participants (47.1% living with HIV), 5 latent classes were identified: “pasivo partner” (26.1%); “one-time activo partner” (20.2%); “recurring activo partner” (16.6%); “one-time moderno partner” (13.3%); and “recurring moderno partner” (23.8%). Class memberships were each associated with different groupings of HIV transmission risk factors. Certain moderno partner classes were associated with substance use and larger anonymous sexual networks, particularly among GBMSM not living with HIV, compared with the “pasivo partner” class. Conclusions: – Our findings demonstrate that GBMSM in Lima represent a behaviorally diverse population whose HIV risk is shaped by sexual roles, partnership types, and network structures. Culturally informed prevention strategies that incorporate these dynamics—such as role-specific partner-notification methods—are essential to more effectively address HIV transmission in the region.

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