Literature DB >> 28040577

Activity spaces of men who have sex with men: An initial exploration of geographic variation in locations of routine, potential sexual risk, and prevention behaviors.

Adam S Vaughan1, Michael R Kramer2, Hannah L F Cooper3, Eli S Rosenberg4, Patrick S Sullivan5.   

Abstract

Theory and research on HIV and among men who have sex with men (MSM) have long suggested the importance of non-residential locations in defining structural exposures. Despite this, most studies within these fields define place as a residential context, neglecting the potential influence of non-residential locations on HIV-related outcomes. The concept of activity spaces, defined as a set of locations to which an individual is routinely exposed, represents one theoretical basis for addressing this potential imbalance. Using a one-time online survey to collect demographic, behavioral, and spatial data from MSM, this paper describes activity spaces and examines correlates of this spatial variation. We used latent class analysis to identify categories of activity spaces using spatial data on home, routine, potential sexual risk, and HIV prevention locations. We then assessed individual and area-level covariates for their associations with these categories. Classes were distinguished by the degree of spatial variation in routine and prevention behaviors (which were the same within each class) and in sexual risk behaviors (i.e., sex locations and locations of meeting sex partners). Partner type (e.g. casual or main) represented a key correlate of the activity space. In this early examination of activity spaces in an online sample of MSM, patterns of spatial behavior represent further evidence of significant spatial variation in locations of routine, potential HIV sexual risk, and HIV prevention behaviors among MSM. Although prevention behaviors tend to have similar geographic variation as routine behaviors, locations where men engage in potentially high-risk behaviors may be more spatially focused for some MSM than for others.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Activity space; HIV; Latent class analysis; Men who have sex with men; Spatial epidemiology

Mesh:

Year:  2016        PMID: 28040577      PMCID: PMC5319484          DOI: 10.1016/j.socscimed.2016.12.034

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  53 in total

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7.  Bias in online recruitment and retention of racial and ethnic minority men who have sex with men.

Authors:  Patrick S Sullivan; Christine M Khosropour; Nicole Luisi; Matthew Amsden; Tom Coggia; Gina M Wingood; Ralph J DiClemente
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10.  Completeness and Reliability of Location Data Collected on the Web: Assessing the Quality of Self-Reported Locations in an Internet Sample of Men Who Have Sex With Men.

Authors:  Adam S Vaughan; Michael R Kramer; Hannah Lf Cooper; Eli S Rosenberg; Patrick S Sullivan
Journal:  J Med Internet Res       Date:  2016-06-09       Impact factor: 5.428

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4.  Assessment of spatial mobility among young men who have sex with men within and across high HIV prevalence neighborhoods in New York city: The P18 neighborhood study.

Authors:  Dustin T Duncan; Seann D Regan; Su Hyun Park; William C Goedel; Byoungjun Kim; Staci C Barton; Perry N Halkitis; Basile Chaix
Journal:  Spat Spatiotemporal Epidemiol       Date:  2020-06-21

5.  Is social-ecological risk associated with individual HIV risk beliefs and behaviours?: An analysis of Kenyan adolescents' local communities and activity spaces.

Authors:  Christina N Schmidt; Eve S Puffer; Sherryl Broverman; Virginia Warren; Eric P Green
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6.  Conceptualizing Geosexual Archetypes: Mapping the Sexual Travels and Egocentric Sexual Networks of Gay and Bisexual Men in Toronto, Canada.

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7.  Antibiotics and activity spaces: protocol of an exploratory study of behaviour, marginalisation and knowledge diffusion.

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Journal:  BMJ Glob Health       Date:  2018-03-28

8.  The Social Geography of Partner Selection in Toronto, Canada: A Qualitative Description of "Convection Mixing".

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9.  Using Geosocial Networking Apps to Understand the Spatial Distribution of Gay and Bisexual Men: Pilot Study.

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