Evidence map›Paper›PMID 26090814›Full record

ArticlePloS one2015

Disassortative Age-Mixing Does Not Explain Differences in HIV Prevalence between Young White and Black MSM: Findings from Four Studies.

Jeremy Alexander Grey, Richard B Rothenberg, Patrick Sean Sullivan, Eli Samuel Rosenberg

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 18 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

4 authors at 2 institutions in 1 country.

Jeremy Alexander GreyDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.
Richard B RothenbergInstitute of Public Health, Georgia State University, Atlanta, Georgia, United States of America.
Patrick Sean SullivanDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.
Eli Samuel RosenbergDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.
Emory University · USGeorgia State University · US

Funding

Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Hannah LF Cooper · 2002 to 2026
$74.0M
Explaining Differences in HIV Prevalence and Incidence in Black and White MSMR01MH085600 · NIMH · EMORY UNIVERSITY · PI SULLIVAN, PATRICK SEAN · 2009 to 2013
$2.9M
Sexual Networks and Concurrency of Black and White MSMR01HD067111 · NICHD · EMORY UNIVERSITY · PI SULLIVAN, PATRICK SEAN · 2010 to 2012
$2.0M
Improving Racial/Ethnic Minority Participation in Online HIV Prevention ResearchRC1MD004370 · NIMHD · EMORY UNIVERSITY · PI SULLIVAN, PATRICK SEAN · 2009 to 2010
$999k
Improving Consent and Survey Procedures for young MSM in Web-based HIV PreventionR21HD074502 · NICHD · EMORY UNIVERSITY · PI SULLIVAN, PATRICK SEAN · 2013 to 2014
$424k
NIAID NIH HHS P30 AI050409NICHD NIH HHS R01 HD067111NICHD NIH HHS R01HD067111NICHD NIH HHS R21 HD074502NIMHD NIH HHS RC1 MD004370NIMHD NIH HHS RC1MD004370NIMH NIH HHS R01 MH085600NIMH NIH HHS R01MH085600
6 · The paper itself

Abstract

objectiveAge disassortativity is one hypothesis for HIV disparities between Black and White MSM. We examined differences in age mixing by race and the effect of partner age difference on the association between race and HIV status.

designWe used data from four studies of MSM. Participants reported information about recent sexual partners, including age, race, and sexual behavior. Two studies were online with a US sample and two focused on MSM in Atlanta.

methodsWe computed concordance correlation coefficients (CCCs) by race across strata of partner type, participant HIV status, condom use, and number of partners. We used Wilcoxon rank-sum tests to compare Black and White MSM on partner age differences across five age groups. Finally, we used logistic regression models using race, age, and partner age difference to determine the odds ratio of HIV-positive serostatus.

resultsOf 48 CCC comparisons, Black MSM were more age-disassortative than White MSM in only two. Furthermore, of 20 comparisons of median partner age, Black and White MSM differed in two age groups. One indicated larger age gaps among the Black MSM (18-19). Prevalent HIV infection was associated with race and age. Including partner age difference in the model resulted in a 2% change in the relative odds of infection among Black MSM.

conclusionsPartner age disassortativity and partner age differences do not differ by race. Partner age difference offers little predictive value in understanding prevalent HIV infection among Black and White MSM, including diagnosis of HIV-positive status among self-reported HIV-negative individuals.

Indexed as

Black PeopleHomosexuality, MaleWhite PeopleAdolescentAdultBlack or African AmericanCross-Sectional StudiesFemaleGeorgiaHIV InfectionsHumansInternetMaleMiddle AgedOdds RatioPopulation Surveillance

Identifiers

PMID26090814
PMCPMC4474564
OpenAlexW1477077414

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.