Evidence map›Paper›PMID 25245930›Full record

ArticleArchives of sexual behavior2015

Use of multiple sex venues and prevalence of HIV risk behavior: identifying high-risk men who have sex with men.

Zachary Y Kerr, Lance M Pollack, William J Woods, Johnny Blair, Diane Binson

Abstract read
In one paragraph

Article in Archives of sexual behavior, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Genetic Network Analysis to Assess the Risk of Human Immunodeficiency Virus Transmission Among Men Who Have Sex With Men Seeking Partners on the Internet.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Zachary Y KerrDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.
Lance M Pollack
William J Woods
Johnny Blair
Diane Binson

Funding

Ujima Mentoring ProgramP30MH062246 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Sheri Ann Lippman · 2001 to 2026
$57.4M
Exploring the Core of High Risk NetworksR01MH071159 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BINSON, DIANE · 2006 to 2008
$861k
NIMH NIH HHS P30 MH062246NIMH NIH HHS R01 MH071159NIMH NIH HHS R01MH071159
6 · The paper itself

Abstract

The National HIV/AIDS Strategy emphasizes the importance of bringing prevention to the most at risk populations. Interventions targeting all men who have sex with men (MSM) fail in that respect because only a minority engages in behavior that is likely to lead to HIV infection. Previous studies have shown that MSM who seek male sexual partners in more than one venue type (e.g., bathhouse, cruising area, online) are most likely to engage in unprotected anal intercourse (UAI), compared to men who only meet partners in any one of these setting types or who do not use venues. The present study reports differences in prevalence of UAI among MSM by their use of venue sites to meet sexual partners. A probability sample of 459 bathhouse patrons completed exit surveys. In the 3 months before the current bathhouse visit, 63.5 % visited a bathhouse (not including the visit at which they were recruited), 46.7 % visited a cruising area, 46.5 % used online cruise sites to find sex partners, and 30.9 % reported UAI. While UAI was associated with online cruise site use, prevalence of UAI with men met online was relatively low. The odds of UAI among men who used all three venues were significantly higher compared to men using zero [odds ratio (OR) = 4.4; 95 % confidence interval (CI) 1.6, 12.1)] one (OR = 5.3; 95 % CI 2.2, 12.8) or two venues (OR = 4.3; 95 % CI 1.9, 9.6). The findings suggest that prevention would benefit from screening for venue use to help identify men with the greatest behavioral risk.

Indexed as

HIV InfectionsHomosexuality, MaleRisk-TakingSocial EnvironmentUnsafe SexAdolescentAdultHumansMaleMiddle AgedOdds RatioPrevalenceRisk FactorsSexual BehaviorSexual PartnersSurveys and Questionnaires

Identifiers

PMID25245930
PMCPMC4323634

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.