Literature DB >> 29680933

Explaining HIV Risk Multiplexity: A Social Network Analysis.

Marisa Felsher1, Emmanuel Koku2.   

Abstract

Risk multiplexity (i.e., overlap in drug-use, needle exchange and sexual relations) is a known risk factor for HIV. However, little is known about predictors of multiplexity. This study uses egocentric data from the Colorado Springs study to examine how individual, behavioral and social network factors influence engagement in multiplex risk behavior. Analyses revealed that compared to Whites, Hispanics were significantly more likely to engage in risk multiplexity and Blacks less so. Respondents who were similar to each other (e.g., in terms of race) had significantly higher odds of being in risk multiplex relationships, and respondents' risk perceptions and network size were significantly associated with engaging in multiplex risk behaviors. Findings from interaction analysis showed the effect of knowing someone with HIV on the odds of multiplexity depends partly on whether respondents' know their HIV status. Findings suggest that demographics, HIV behaviors and network factors impact engagement in multiplex risk behaviors, highlighting the need for multi-level interventions aimed at reducing HIV risk behavior.

Entities:  

Keywords:  Colorado Springs; HIV; Multiplexity; Risk factors; Social networks

Mesh:

Year:  2018        PMID: 29680933     DOI: 10.1007/s10461-018-2120-7

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


  7 in total

1.  Injection drug use, unknown HIV positive status, and self-reported current PrEP use among Black men who have sex with men attending U.S. Black pride events, 2014-2017.

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2.  The impact of social network dynamics on engagement in drug use reduction programs among men and women who use drugs.

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

Authors:  Katie B Biello; William C Goedel; Alberto Edeza; Steven A Safren; Kenneth H Mayer; Brandon D L Marshall; Carl Latkin; Matthew J Mimiaga
Journal:  J Acquir Immune Defic Syndr       Date:  2020-02-01       Impact factor: 3.771

Review 4.  Best Practices for Modeling Egocentric Social Network Data and Health Outcomes.

Authors:  Jacqueline M Burgette; Jacquelin Rankine; Alison J Culyba; Kar-Hai Chu; Kathleen M Carley
Journal:  HERD       Date:  2021-05-11

5.  Network Characteristics Associated with HIV Testing Conversations Among Transgender Women in Los Angeles County, California.

Authors:  Cheríe S Blair; Ian W Holloway; Jesse B Fletcher; Cathy J Reback
Journal:  AIDS Behav       Date:  2021-02-20

6.  Group Sex Events Among Cisgender Men Who Have Sex With Men: Cross-Sectional and Longitudinal Survey Study to Explore Participation and Risk-Taking Behaviors.

Authors:  Lauren R Violette; Lisa A Niemann; Vanessa M McMahan; David A Katz; Pollyanna R Chavez; Hollie A Clark; Andy Cornelius-Hudson; Steven F Ethridge; Sarah J McDougal; George Ure Ii; Joanne D Stekler; Kevin P Delaney
Journal:  JMIR Res Protoc       Date:  2019-11-27

7.  The Most-Cited Authors Who Published Papers in JMIR mHealth and uHealth Using the Authorship-Weighted Scheme: Bibliometric Analysis.

Authors:  Tsair-Wei Chien; Wei-Chih Kan; Willy Chou; Yu-Tsen Yeh; Po-Hsin Chou
Journal:  JMIR Mhealth Uhealth       Date:  2020-05-07       Impact factor: 4.773

  7 in total

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