Literature DB >> 33555414

Sexual Mixing and HIV Transmission Potential Among Greek Men Who have Sex with Men: Results from SOPHOCLES.

Benjamin Bowman1, Mina Psichogyiou2, Martha Papadopoulou3, Vana Sypsa2, Aditya Khanna4, Dimitrios Paraskevis3, Sophocles Chanos5, Samuel R Friedman6,7, Angelos Hatzakis3, John Schneider8,9.   

Abstract

HIV incidence among men who have sex with men (MSM) in Greece remains unchanged despite effective response to a recent outbreak among people who inject drugs (PWID). Network factors are increasingly understood to drive transmission in epidemics. The primary objective of the study was to characterize MSM in Greece, their sexual behaviors, and sexual network mixing patterns. We investigated the relationship between serostatus, sexual behaviors, and self-reported sex networks in a sample of MSM in Athens, Greece, generated using respondent driven sampling. We estimated mixing coefficients (r) based on survey-generated egonets. Additionally, multiple logistic regression was used to estimate adjusted odds ratios (AOR) and to assess relationships between serostatus, sexual behaviors, and sociodemographic indicators. A sample of 1,520 MSM participants included study respondents (n = 308) and their network members (n = 1,212). Mixing based on serostatus (r = 0.12, σr = 0.09-0.15) and condomless sex (r = 0.11, σr = 0.07-0.14) was random. However, mixing based on sex-drug use was highly assortative (r = 0.37, σr = 0.32-0.42). This study represents the first analysis of Greek MSM sexual networks. Our findings highlight protective behavior in two distinct network typologies. The first typology mixed assortatively based on serostatus and sex-drug use and was less likely to engage in condomless sex. The second typology mixed randomly based on condomless sex but was less likely to engage in sex-drug use. These findings support the potential benefit of HIV prevention program scale-up for this population including but not limited to PrEP.

Entities:  

Keywords:  Greece; HIV; MSM; Network; Sexual mixing

Year:  2021        PMID: 33555414     DOI: 10.1007/s10461-020-03123-6

Source DB:  PubMed          Journal:  AIDS Behav        ISSN: 1090-7165


  40 in total

1.  Sexual network patterns as determinants of STD rates: paradigm shift in the behavioral epidemiology of STDs made visible.

Authors:  S O Aral
Journal:  Sex Transm Dis       Date:  1999-05       Impact factor: 2.830

Review 2.  Greater risk for HIV infection of black men who have sex with men: a critical literature review.

Authors:  Gregorio A Millett; John L Peterson; Richard J Wolitski; Ron Stall
Journal:  Am J Public Health       Date:  2006-05-02       Impact factor: 9.308

3.  Rapid Decline in HIV Incidence Among Persons Who Inject Drugs During a Fast-Track Combination Prevention Program After an HIV Outbreak in Athens.

Authors:  Vana Sypsa; Mina Psichogiou; Dimitrios Paraskevis; Georgios Nikolopoulos; Chrissa Tsiara; Dimitra Paraskeva; Katerina Micha; Meni Malliori; Anastasia Pharris; Lucas Wiessing; Martin Donoghoe; Samuel Friedman; Don Des Jarlais; Georgios Daikos; Angelos Hatzakis
Journal:  J Infect Dis       Date:  2017-05-15       Impact factor: 5.226

4.  Racial/ethnic group differences in the prevalence of sexually transmitted diseases in the United States: a network explanation.

Authors:  E O Laumann; Y Youm
Journal:  Sex Transm Dis       Date:  1999-05       Impact factor: 2.830

5.  The Atlanta Urban Adolescent Network Study: a network view of STD prevalence.

Authors:  Richard Rothenberg; Tina Dan My Hoang; Stephen Q Muth; Richard Crosby
Journal:  Sex Transm Dis       Date:  2007-08       Impact factor: 2.830

Review 6.  Determinants and consequences of sexual networks as they affect the spread of sexually transmitted infections.

Authors:  Irene A Doherty; Nancy S Padian; Cameron Marlow; Sevgi O Aral
Journal:  J Infect Dis       Date:  2005-02-01       Impact factor: 5.226

7.  Network mixing and network influences most linked to HIV infection and risk behavior in the HIV epidemic among black men who have sex with men.

Authors:  John A Schneider; Benjamin Cornwell; David Ostrow; Stuart Michaels; Phil Schumm; Edward O Laumann; Samuel Friedman
Journal:  Am J Public Health       Date:  2012-11-15       Impact factor: 9.308

8.  Detailed Molecular Surveillance of the HIV-1 Outbreak Among People who Inject Drugs (PWID) in Athens During a Period of Four Years.

Authors:  Evangelia Kostaki; Gkikas Magiorkinis; Mina Psichogiou; Andreas Flampouris; Panos Iliopoulos; Eleni Papachristou; Georgios L Daikos; Stefanos Bonovas; Dan Otelea; Samuel R Friedman; Angelos Hatzakis; Dimitrios Paraskevis
Journal:  Curr HIV Res       Date:  2017       Impact factor: 1.581

9.  Risk factors for human immunodeficiency virus seroconversion among out-of-treatment drug injectors in high and low seroprevalence cities. The National AIDS Research Consortium.

Authors:  S R Friedman; B Jose; S Deren; D C Des Jarlais; A Neaigus
Journal:  Am J Epidemiol       Date:  1995-10-15       Impact factor: 4.897

10.  National income inequality and declining GDP growth rates are associated with increases in HIV diagnoses among people who inject drugs in Europe: a panel data analysis.

Authors:  Georgios K Nikolopoulos; Anastasios Fotiou; Eleftheria Kanavou; Clive Richardson; Marios Detsis; Anastasia Pharris; Jonathan E Suk; Jan C Semenza; Claudia Costa-Storti; Dimitrios Paraskevis; Vana Sypsa; Melpomeni-Minerva Malliori; Samuel R Friedman; Angelos Hatzakis
Journal:  PLoS One       Date:  2015-04-15       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.