Literature DB >> 22337112

Comparison of demographic and behavioral characteristics of men who have sex with men by enrollment venue type in the National HIV Behavioral Surveillance System.

Andrew C Voetsch1, Amy Lansky, Amy J Drake, Duncan MacKellar, Trista A Bingham, Alexandra M Oster, Patrick S Sullivan.   

Abstract

BACKGROUND: During 2003-2005, the National HIV Behavioral Surveillance System (NHBS) enrolled men who have sex with men (MSM) from 12 different venue types in 15 metropolitan areas in the United States. Our goal was to examine whether limiting NHBS enrollment venues to gay bars and dance clubs could increase efficiency without changing the overall results and conclusions.
METHODS: We used logistic regression analysis to compare the demographic characteristics and reported HIV risk behaviors among MSM enrolled in gay bars and dance clubs with those enrolled in sex venues and those enrolled in other venues.
RESULTS: Of the 11,471 eligible men included in the analysis, 6419 (56%) were enrolled at bars and clubs, 481 (4%) at sex venues, and 4571 (40%) at other venues. Compared with men enrolled at bars and clubs, men enrolled at sex venues were more likely to be older, of nonwhite race/ethnicity, bisexual, infrequent gay venue attendees, and to have 10 or more male sex partners in the past 12 months. Men enrolled at other venues were more likely to be older and less likely to use noninjecting drugs in the past 12 months. The absolute differences in these characteristics between men enrolled in bars and clubs and those enrolled in comparison venue categories were small in most instances.
CONCLUSIONS: Although the differences in characteristics by venue category were not large in magnitude, there was evidence that restricting NHBS enrollment to bars and clubs would affect national estimates of behavioral risk factors among MSM.

Entities:  

Mesh:

Year:  2012        PMID: 22337112     DOI: 10.1097/OLQ.0b013e31823d2b24

Source DB:  PubMed          Journal:  Sex Transm Dis        ISSN: 0148-5717            Impact factor:   2.830


  6 in total

1.  Pervasive Heavy Alcohol Use and Correlates of Increasing Levels of Binge Drinking among Men Who Have Sex with Men, San Francisco, 2011.

Authors:  Glenn-Milo Santos; Harry Jin; H Fisher Raymond
Journal:  J Urban Health       Date:  2015-08       Impact factor: 3.671

2.  Sexual and Gender Diversity within the Black Men who have Sex with Men HIV Epidemiological Category.

Authors:  Bianca D M Wilson; Ayako Miyashita
Journal:  Sex Res Social Policy       Date:  2016-02-10

3.  Venue-based recruitment of women at elevated risk for HIV: an HIV Prevention Trials Network study.

Authors:  Danielle F Haley; Carol Golin; Wafaa El-Sadr; James P Hughes; Jing Wang; Malika Roman Isler; Sharon Mannheimer; Irene Kuo; Jonathan Lucas; Elizabeth DiNenno; Jessica Justman; Paula M Frew; Lynda Emel; Anne Rompalo; Sarah Polk; Adaora A Adimora; Lorenna Rodriquez; Lydia Soto-Torres; Sally Hodder
Journal:  J Womens Health (Larchmt)       Date:  2014-04-17       Impact factor: 2.681

4.  The comparability of men who have sex with men recruited from venue-time-space sampling and facebook: a cohort study.

Authors:  Alfonso C Hernandez-Romieu; Patrick S Sullivan; Travis H Sanchez; Colleen F Kelley; John L Peterson; Carlos Del Rio; Laura F Salazar; Paula M Frew; Eli S Rosenberg
Journal:  JMIR Res Protoc       Date:  2014-07-17

5.  Sexual Networks and HIV Risk among Black Men Who Have Sex with Men in 6 U.S. Cities.

Authors:  Hong-Van Tieu; Ting-Yuan Liu; Sophia Hussen; Matthew Connor; Lei Wang; Susan Buchbinder; Leo Wilton; Pamina Gorbach; Kenneth Mayer; Sam Griffith; Corey Kelly; Vanessa Elharrar; Gregory Phillips; Vanessa Cummings; Beryl Koblin; Carl Latkin
Journal:  PLoS One       Date:  2015-08-04       Impact factor: 3.240

6.  The impact of meeting locations for men having sex with men on the risk for bacterial sexually transmitted infections: analyses from a cross-sectional online survey.

Authors:  U Marcus; M an der Heiden; M Gassowski; M Kruspe; J Drewes
Journal:  BMJ Open       Date:  2015-11-04       Impact factor: 2.692

  6 in total

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