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Injection Drug Use and Sexual Risk Behaviors Among People who Inject Drugs in Ukraine: A Random-Intercept Latent

John Mark Wiginton1,2, Robert Booth3, Lisa A Eaton4

  • 1Division of Infectious Diseases and Global Public Health, Department of Medicine, University of California-San Diego, La Jolla, CA, USA. jwiginton@ucsd.edu.

AIDS and Behavior
|March 17, 2023
PubMed
Summary
This summary is machine-generated.

A social network intervention reduced HIV risk behaviors among people who inject drugs in Ukraine. Participants moved to safer injection practices, though some transitions still posed HIV acquisition risks.

Keywords:
HIVLatent transition analysisPeople who inject drugsSocial network intervention

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Area of Science:

  • Public Health
  • Epidemiology
  • Social and Behavioral Sciences

Background:

  • HIV transmission in Ukraine is significantly influenced by unsafe injection drug use and associated sexual risk behaviors.
  • People who inject drugs (PWID) represent a key population for targeted HIV prevention strategies.

Purpose of the Study:

  • To analyze behavioral patterns and transitions among PWID in Ukraine within a social network intervention trial.
  • To identify specific risk behaviors and their association with HIV acquisition.

Main Methods:

  • Random-intercept latent transition analysis was applied to survey data from 1195 HIV-negative PWID.
  • Data included 9 binary items on injection drug use and sexual behaviors collected during a clustered randomized clinical trial.
  • Participants were recruited from Odessa, Donetsk, and Nikolayev, Ukraine.

Main Results:

  • Five distinct baseline behavioral classes were identified, including 'Social injection/equipment-sharing' and 'Dealer-facilitated injection'.
  • Intervention participants showed a greater likelihood of transitioning to the 'Collective preparation/splitting' class, characterized by lower risk behaviors.
  • For control participants, transitioning from 'Collective preparation/splitting' to 'Social injection/equipment-sharing' was linked to increased HIV acquisition risk.

Conclusions:

  • Social network interventions can shift PWID towards lower-risk behaviors, potentially reducing HIV transmission.
  • Understanding and targeting specific behavioral transitions are crucial for developing effective, tailored HIV prevention programs.
  • Further research is needed to confirm the stability of these behavioral patterns and optimize intervention strategies.