Evidence map›Paper›PMID 24803130›Full record

ArticleAIDS and behavior2014

Prevalence and predictors of concurrent sexual partnerships in a predominantly African American population in Jackson, Mississippi.

Amy Nunn, Sarah MacCarthy, Nancy Barnett, Jennifer Rose, Philip Chan, Annajane Yolken, Alexandra Cornwall, Nicholas Chamberlain, Arti Barnes, Reginald Riggins and 4 more

Open access · greenAbstract read
In one paragraph

Article in AIDS and behavior, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  7. Review
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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

14 authors at 5 institutions in 1 country.

Amy NunnDivision of Infectious Diseases, The Miriam Hospital and The Warren Alpert School of Medicine at Brown University, 164 Summit Ave, RISE 109, Providence, RI, 02906, USA, amy_nunn@brown.edu.
Sarah MacCarthy
Nancy Barnett
Jennifer Rose
Philip Chan
Annajane Yolken
Alexandra Cornwall
Nicholas Chamberlain
Arti Barnes
Reginald Riggins
Elya Moore
Dantrell Simmons
Sharon Parker
Leandro Mena
Brown University · USJackson Memorial Hospital · USWesleyan University · USJohn Brown University · USWhatcom Community College · US

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI LARRY K BROWN · 1998 to 2026
$51.7M
Virology CoreP01AA019072 · NIAAA · BROWN UNIVERSITY · PI BECKER, SARA · 2010 to 2024
$19.7M
HIV and Other Infectious Consequences of Substance UseT32DA013911 · NIDA · MIRIAM HOSPITAL · PI TRACI C GREEN, JOSIAH D RICH · 2001 to 2026
$9.6M
The Brown Initiative in HIV and AIDS Clinical Research for Minority CommunitiesR25MH083620 · NIMH · MIRIAM HOSPITAL · PI NUNN, AMY STEWART · 2008 to 2025
$3.7M
Exploring Patterns of Concurrency Among Urban African AmericansK01AA020228 · NIAAA · MIRIAM HOSPITAL · PI NUNN, AMY STEWART · 2010 to 2014
$691k
Molecular Epidemiology of HIV Transmission NetworksK23AI096923 · NIAID · MIRIAM HOSPITAL · PI CHAN, PHILIP ANDREW · 2011 to 2015
$650k
NIAAA NIH HHS K01 AA020228NIAAA NIH HHS P01 AA019072NIAID NIH HHS K23 AI096923NIAID NIH HHS K23AI096923NIAID NIH HHS P30 AI042853NIDA NIH HHS T32 DA013911NIMHD NIH HHS L60 MD003501NIMH NIH HHS R25 MH083620NIMH NIH HHS R25MH083620PHS HHS K01 020228-01A1PHS HHS P30-A1042853
6 · The paper itself

Abstract

Concurrent sexual partnerships, or sexual partnerships that overlap in time, have been associated with HIV and sexually transmitted infections (STI). How best to measure concurrency and the personal characteristics and predictors of concurrency are not yet well understood. We compared two frequently used concurrency definitions, including a self-reported measure based on participant response regarding overlapping sex with partners, and the UNAIDS measure based on overlapping dates of last sex and intention to have sex again. We performed multivariable logistic regression analyses to identify socio-demographic, behavioral, and structural predictors of concurrency among 1,542 patients at an urban STI clinic in Jackson, Mississippi. Nearly half (44 %) reported concurrency based on self-reported sex with other partners, and 26 % reported concurrency according to the UNAIDS concurrency measure. Using the self-reported concurrency measure, the strongest predictors of concurrency were perceived partner concurrency, drug use at last sex, having more than 10 lifetime partners, and being recently incarcerated. Strongest predictors of concurrency using the UNAIDS measure were lifetime number of partners and perceived partner concurrency. Concurrency is highly prevalent in this population in the Deep South and social, structural and behavioral factors were important predictors of concurrency for both measures. Future research should use time anchored data collection methods and biomarkers to assess whether both definitions of concurrency are associated with HIV outcomes.

Indexed as

Sexual BehaviorSexual PartnersAdultAmbulatory Care FacilitiesBlack or African AmericanCondomsCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansLogistic ModelsMaleMississippiPrevalenceRisk FactorsSelf Report

Identifiers

PMID24803130
PMCPMC4224631
OpenAlexW1975211036

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.