Unpacking "High-Risk": A Latent Class Analysis of Sexual Partnership Patterns and HIV Transmission Risk Among Gay,

Reni Forer1,2, Jesse L Clark3, Jessica Gutierrez4

  • 1University of Michigan Medical School, Ann Arbor, MI.

Insights

Gay, bisexual, and other men who have sex with men (GBMSM) are diverse. Differentiating subgroups by last sexual partner reveals varied HIV risks, informing targeted prevention strategies in Lima, Perú.

Area of Science:

  • Public Health
  • Epidemiology
  • Social and Behavioral Sciences

Background:

  • Gay, bisexual, and other men who have sex with men (GBMSM) are often viewed as a uniform group at high risk for HIV.
  • Understanding behavioral diversity within this population is crucial for effective HIV prevention.

Purpose of the Study:

  • To differentiate subgroups of GBMSM based on their last sexual partner (LSP).
  • To explore associations between these subgroups and HIV transmission risk factors in Lima, Perú.

Main Methods:

  • Cross-sectional data from 2,119 GBMSM in Lima, Perú (June 2022-March 2023).
  • Latent class analysis using LSP characteristics (partner type, sexual role, condomless anal sex position).
  • Multinomial logistic regression to identify HIV risk factors (drug use, transactional sex, STI, sexual identity, alcohol use, anonymous partners).

Main Results:

  • Five distinct latent classes of GBMSM were identified based on LSP.
  • Each class exhibited unique patterns of HIV transmission risk factors.
  • Specific 'moderno partner' classes were linked to substance use and larger sexual networks, especially for those not living with HIV, compared to the 'pasivo partner' class.

Conclusions:

  • GBMSM in Lima exhibit significant behavioral diversity influencing HIV risk.
  • Sexual roles, partnership types, and network structures are key determinants of HIV risk.
  • Culturally tailored prevention strategies, like role-specific partner notification, are vital for reducing HIV transmission.
Abstract

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