Literature DB >> 28097618

Sex Behaviors as Social Cues Motivating Social Venue Patronage Among Young Black Men Who Have Sex with Men.

Lindsay E Young1,2,3, Stuart Michaels4, Adam Jonas5,6, Aditya S Khanna5,7, Britt Skaathun5,8, Ethan Morgan5,8, John A Schneider5,7,8.   

Abstract

HIV prevention programs often focus on the physical social venues where men who have sex with men (MSM) frequent as sites where sex behaviors are assumed to be practiced and risk is conferred. But, how exactly these behaviors influence venue patronage is not well understood. In this study, we present a two-mode network analysis that determines the extent that three types of sex behaviors-condomless sex, sex-drug use, and group sex-influence the patronage of different types of social venues among a population sample of young Black MSM (YBMSM) (N = 623). A network analytic technique called exponential random graph modeling was used in a proof of concept analysis to verify how each sex behavior increases the likelihood of a venue patronage tie when estimated as either: (1) an attribute of an individual only and/or (2) a shared attribute between an individual and his peers. Findings reveal that sex behaviors, when modeled only as attributes possessed by focal individuals, were no more or less likely to affect choices to visit social venues. However, when the sex behaviors of peers were also taken into consideration, we learn that individuals were statistically more likely in all three behavioral conditions to go places that attracted other MSM who practiced the same behaviors. This demonstrates that social venues can function as intermediary contexts in which relationships can form between individuals that have greater risk potential given the venues attraction to people who share the same risk tendencies. As such, structuring interventions around these settings can be an effective way to capture the attention of YBMSM and engage them in HIV prevention.

Entities:  

Keywords:  Exponential random graph models; HIV prevention; Men who have sex with men; Sexual risk; Social networks; Social venues

Mesh:

Year:  2017        PMID: 28097618      PMCID: PMC5513785          DOI: 10.1007/s10461-017-1679-8

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


  29 in total

1.  Popular opinion leaders and HIV prevention peer education: resolving discrepant findings, and implications for the development of effective community programmes.

Authors:  J A Kelly
Journal:  AIDS Care       Date:  2004-02

2.  The social structural production of HIV risk among injecting drug users.

Authors:  Tim Rhodes; Merrill Singer; Philippe Bourgois; Samuel R Friedman; Steffanie A Strathdee
Journal:  Soc Sci Med       Date:  2005-03-19       Impact factor: 4.634

3.  Sexual risk behavior and venues for meeting sex partners: an intercept survey of gay and bisexual men in LA and NYC.

Authors:  Christian Grov; Jeffrey T Parsons; David S Bimbi
Journal:  AIDS Behav       Date:  2007-01-08

4.  Pro-social and problematic social network influences on HIV/AIDS risk behaviours among newly homeless youth in Los Angeles.

Authors:  E Rice; N G Milburn; M J Rotheram-Borus
Journal:  AIDS Care       Date:  2007-05

5.  Sociostructural 2-mode network analysis: critical connections for HIV transmission elimination.

Authors:  John A Schneider
Journal:  Sex Transm Dis       Date:  2013-06       Impact factor: 2.830

6.  Differential HIV risk in bathhouses and public cruising areas.

Authors:  D Binson; W J Woods; L Pollack; J Paul; R Stall; J A Catania
Journal:  Am J Public Health       Date:  2001-09       Impact factor: 9.308

7.  The risk environment for HIV transmission: results from the Atlanta and Flagstaff network studies.

Authors:  R Rothenberg; J Baldwin; R Trotter; S Muth
Journal:  J Urban Health       Date:  2001-09       Impact factor: 3.671

Review 8.  Methodological problems in AIDS behavioral research: influences on measurement error and participation bias in studies of sexual behavior.

Authors:  J A Catania; D R Gibson; D D Chitwood; T J Coates
Journal:  Psychol Bull       Date:  1990-11       Impact factor: 17.737

9.  Norms, social networks, and HIV-related risk behaviors among urban disadvantaged drug users.

Authors:  Carl A Latkin; Valerie Forman; Amy Knowlton; Susan Sherman
Journal:  Soc Sci Med       Date:  2003-02       Impact factor: 4.634

10.  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

View more
  7 in total

1.  Associations of spatial mobility with sexual risk behaviors among young men who have sex with men in New York City: A global positioning system (GPS) study.

Authors:  Byoungjun Kim; Seann D Regan; Denton Callander; William C Goedel; Basile Chaix; Dustin T Duncan
Journal:  Soc Sci Med       Date:  2020-05-20       Impact factor: 4.634

2.  HIV Prevention and Sex Behaviors as Organizing Mechanisms in a Facebook Group Affiliation Network Among Young Black Men Who Have Sex with Men.

Authors:  Lindsay E Young; Kayo Fujimoto; John A Schneider
Journal:  AIDS Behav       Date:  2018-10

3.  The Co-evolution of online social networks and syphilis incidence among young black men who have sex with men.

Authors:  Lindsay E Young; Kayo Fujimoto
Journal:  Soc Sci Med       Date:  2021-02-10       Impact factor: 4.634

4.  Social and behavioral characteristics of male blood donors and their sexual partners: an analysis to define risk subsets.

Authors:  Tassila Salomon; Isabel Gomes; Mina Cintho Ozahata; Carlos Henrique Valente Moreira; Claudia Di Lorenzo Oliveira; Thelma T Gonçalez; Maria Esther Duarte; Carolina Miranda; Anna Bárbara Carneiro Proietti; Ester Sabino; Cesar de Almeida Neto; Brian Custer
Journal:  Transfusion       Date:  2019-06-03       Impact factor: 3.337

5.  Prevalence and Risk Factors for HIV Infection Among Heterosexual Men Recruited from Socializing Venues in Rural KwaZulu-Natal, South Africa.

Authors:  Nonzwakazi P Ntombela; Ayesha B M Kharsany; Adenike Soogun; Nonhlanhla Yende-Zuma; Hans-Peter Kohler; Lyle R McKinnon
Journal:  AIDS Behav       Date:  2021-02-11

6.  Network Evolution of a Large Online MSM Dating Community: 2005-2018.

Authors:  Chuchu Liu; Xin Lu
Journal:  Int J Environ Res Public Health       Date:  2019-11-06       Impact factor: 3.390

7.  Location inference for hidden population with online text analysis.

Authors:  Chuchu Liu; Ziqiang Cao; Xin Lu
Journal:  Int J Health Geogr       Date:  2020-12-09       Impact factor: 3.918

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.