Literature DB >> 31929400

Network-Level Correlates of Sexual Risk Among Male Sex Workers in the United States: A Dyadic Analysis.

Katie B Biello1,2,3, William C Goedel2, Alberto Edeza1, Steven A Safren3,4, Kenneth H Mayer3,5,6, Brandon D L Marshall2, Carl Latkin7, Matthew J Mimiaga1,2,3.   

Abstract

BACKGROUND: Male sex workers (MSWs) are at increased risk of HIV infection in the United States. Research is limited on sexual and drug use network characteristics of MSWs.
SETTING: Community-based organization and health center in 2 US Northeast cities.
METHODS: One hundred MSWs completed a behavioral assessment and sexual and drug network inventory. Using dyadic analyses, we assessed whether network characteristics, including sex worker-male client age, race, and HIV status homophily and risk multiplexity (ie, overlap in drug-use and sex networks), were associated with condom use.
RESULTS: MSW participants' mean age was 33.6. Two-thirds identified as Black or Latino, 12% identified as heterosexual, and 90% reported recent drug use. Participants reported an average of 5.3 male clients in the past month (SD = 3.4), and having anal sex with 74% of these clients, at a rate of 2.2 times per month (SD = 4.6). Participants reported inconsistent condom use during anal sex with 53% of clients. In multivariable models, inconsistent condom use was more common in relationships with presumed HIV status homophily [odds ratio (OR): 1.25; 95% confidence interval (CI): 1.07 to 1.46] and sexual and drug network multiplexity (OR: 1.19; 95% CI: 1.09 to 1.30); and less common within relationships where the client is older than the MSW participant (OR: 0.83; 95% CI: 0.74 to 0.93). Number of multiplex relationships was positively associated with number of condomless anal sex acts with male clients (incidence rate ratio: 1.35; 95% CI: 1.19 to 1.54).
CONCLUSIONS: Network characteristics may contribute to disproportionate HIV risk among MSWs. Modeling studies should include network characteristics when simulating HIV transmission, and future HIV interventions should address the role of networks.

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Year:  2020        PMID: 31929400      PMCID: PMC7262793          DOI: 10.1097/QAI.0000000000002230

Source DB:  PubMed          Journal:  J Acquir Immune Defic Syndr        ISSN: 1525-4135            Impact factor:   3.771


  30 in total

1.  Characteristics, drug use, and sex partners of a sample of male sex workers.

Authors:  Sandra C Timpson; Michael W Ross; Mark L Williams; John Atkinson
Journal:  Am J Drug Alcohol Abuse       Date:  2007       Impact factor: 3.829

2.  Gender, Transience, Network Partnerships and Risky Sexual Practices Among Young Persons who Inject Drugs.

Authors:  Anna L Hotton; Basmattee Boodram
Journal:  AIDS Behav       Date:  2017-04

Review 3.  A strategy for selecting sexual partners believed to pose little/no risks for HIV: serosorting and its implications for HIV transmission.

Authors:  Lisa A Eaton; Seth C Kalichman; Daniel A O'Connell; William D Karchner
Journal:  AIDS Care       Date:  2009-10

4.  Exchange of Sex for Drugs or Money in Adolescents and Young Adults: An Examination of Sociodemographic Factors, HIV-Related Risk, and Community Context.

Authors:  Cherrie B Boyer; Lauren Greenberg; Kate Chutuape; Bendu Walker; Dina Monte; Jennifer Kirk; Jonathan M Ellen
Journal:  J Community Health       Date:  2017-02

5.  Explaining HIV Risk Multiplexity: A Social Network Analysis.

Authors:  Marisa Felsher; Emmanuel Koku
Journal:  AIDS Behav       Date:  2018-11

6.  Network Properties Among Gay, Bisexual and Other Men Who Have Sex with Men Vary by Race.

Authors:  Meagan Zarwell; William T Robinson
Journal:  AIDS Behav       Date:  2019-05

7.  Do Sexual Networks of Men Who Have Sex with Men in New York City Differ by Race/Ethnicity?

Authors:  Hong-Van Tieu; Vijay Nandi; Donald R Hoover; Debbie Lucy; Kiwan Stewart; Victoria Frye; Magdalena Cerda; Danielle Ompad; Carl Latkin; Beryl A Koblin
Journal:  AIDS Patient Care STDS       Date:  2016-01       Impact factor: 5.078

Review 8.  Male sex workers: practices, contexts, and vulnerabilities for HIV acquisition and transmission.

Authors:  Stefan David Baral; M Reuel Friedman; Scott Geibel; Kevin Rebe; Borche Bozhinov; Daouda Diouf; Keith Sabin; Claire E Holland; Roy Chan; Carlos F Cáceres
Journal:  Lancet       Date:  2014-07-22       Impact factor: 79.321

9.  Men having sex with men serosorting with casual partners: who, how much, and what risk factors in Switzerland, 2007-2009.

Authors:  Stéphanie Lociciro; André Jeannin; Françoise Dubois-Arber
Journal:  BMC Public Health       Date:  2013-09-11       Impact factor: 3.295

10.  Sexual partnership age pairings and risk of HIV acquisition in rural South Africa.

Authors:  Adam Akullian; Anna Bershteyn; Daniel Klein; Alain Vandormael; Till Bärnighausen; Frank Tanser
Journal:  AIDS       Date:  2017-07-31       Impact factor: 4.177

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  1 in total

1.  Potential Impact of Targeted HIV Pre-Exposure Prophylaxis Uptake Among Male Sex Workers.

Authors:  William C Goedel; Matthew J Mimiaga; Maximilian R F King; Steven A Safren; Kenneth H Mayer; Philip A Chan; Brandon D L Marshall; Katie B Biello
Journal:  Sci Rep       Date:  2020-03-27       Impact factor: 4.379

  1 in total

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