Evidence map›Paper›PMID 26569376›Full record

ArticleCulture, health & sexuality2016

A social network typology and sexual risk-taking among men who have sex with men in Cape Town and Port Elizabeth, South Africa.

Alex de Voux, Stefan D Baral, Linda-Gail Bekker, Chris Beyrer, Nancy Phaswana-Mafuya, Aaron J Siegler, Patrick S Sullivan, Kate Winskell, Rob Stephenson

Open access · greenAbstract read
In one paragraph

Article in Culture, health & sexuality, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 24% of its field
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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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

9 authors at 5 institutions in 2 countries.

Alex de Vouxa Department of Epidemiology, Rollins School of Public Health , Emory University , Atlanta , USA.
Stefan D Baralb Center for Public Health and Human Rights, Department of Epidemiology , Johns Hopkins Bloomberg School of Public Health , Baltimore , USA.
Linda-Gail Bekkerc Desmond Tutu HIV Foundation, Institute of Infectious Diseases and Molecular Medicine, Faculty of Health Sciences , University of Cape Town , Cape Town , South Africa.
Chris Beyrerb Center for Public Health and Human Rights, Department of Epidemiology , Johns Hopkins Bloomberg School of Public Health , Baltimore , USA.
Nancy Phaswana-Mafuyad HIV/AIDS/STI and TB, Human Sciences Research Council , Port Elizabeth , South Africa.
Aaron J Sieglera Department of Epidemiology, Rollins School of Public Health , Emory University , Atlanta , USA.
Patrick S Sullivana Department of Epidemiology, Rollins School of Public Health , Emory University , Atlanta , USA.
Kate Winskelle Hubert Department of Global Health, Rollins School of Public Health , Emory University , Atlanta , GA , USA.
Rob Stephensonf Department of Health Behavior and Biological Sciences, School of Nursing, Center for Sexuality and Health Disparities , University of Michigan , Ann Arbor , USA.
Emory University · USJohns Hopkins University · USDesmond Tutu HIV Foundation · ZAHuman Sciences Research Council · ZAUniversity of Michigan–Ann Arbor · US

Funding

Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Carlos del Rio · 2002 to 2026
$74.0M
Comprehensive HIV Prevention Package for MSM in Southern AfricaR01AI094575 · NIAID · EMORY UNIVERSITY · PI SULLIVAN, PATRICK SEAN · 2011 to 2014
$3.3M
NIAID NIH HHS 1R01AI094575-01NIAID NIH HHS P30 AI050409NIAID NIH HHS P30AI050409NIAID NIH HHS R01 AI094575
6 · The paper itself

Abstract

Despite the high prevalence of HIV among men who have sex with men in South Africa, very little is known about their lived realities, including their social and sexual networks. Given the influence of social network structure on sexual risk behaviours, a better understanding of the social contexts of men who have sex with men is essential for informing the design of HIV programming and messaging. This study explored social network connectivity, an understudied network attribute, examining self-reported connectivity between friends, family and sex partners. Data were collected in Cape Town and Port Elizabeth, South Africa, from 78 men who have sex with men who participated in in-depth interviews that included a social network mapping component. Five social network types emerged from the content analysis of these social network maps based on the level of connectivity between family, friends and sex partners, and ranged from disconnected to densely connected networks. The ways in which participants reported sexual risk-taking differed across the five network types, revealing diversity in social network profiles. HIV programming and messaging for this population can greatly benefit from recognising the diversity in lived realities and social connections between men who have sex with men.

Indexed as

Homosexuality, MaleRisk-TakingSocial SupportUnsafe SexAdultAgedHealth EducationHIV InfectionsHumansMaleMiddle AgedQualitative ResearchSexual BehaviorSexual PartnersSocial EnvironmentSouth AfricaHIV/AIDSMen who have sex with mennetworkssexual riskSouth Africa

Identifiers

PMID26569376
PMCPMC4930490
OpenAlexW2218608924

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.