Evidence map›Paper›PMID 26496073›Full record

ArticlePloS one2015

HIV Prevalence Correlates with High-Risk Sexual Behavior in Ethiopia's Regions.

Chris R Kenyon, Achilleas Tsoumanis, Ilan Steven Schwartz

Abstract 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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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

12 citing papers in PubMed.

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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

3 authors.

Chris R KenyonHIV/STI Unit, Institute of Tropical Medicine, Antwerp, Belgium; Department of Medicine, University of Cape Town, Cape Town, South Africa.
Achilleas TsoumanisHIV/STI Unit, Institute of Tropical Medicine, Antwerp, Belgium.
Ilan Steven SchwartzDepartment of Medical Microbiology, Faculty of Health Sciences, College of Medicine, University of Manitoba, Winnipeg, Canada; Department of Epidemiology and Social Medicine, Faculty of Health Sciences, University of Antwerp, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHIV prevalence varies between 0.9 and 6.5% in Ethiopia's eleven regions. Little has been published examining the reasons for this variation.

methodsWe evaluated the relationship between HIV prevalence by region and a range of risk factors in the 2005 and 2011 Ethiopian Demographic Health Surveys. Pearson's correlation was used to assess the relationship between HIV prevalence and each variable.

resultsThere was a strong association between HIV prevalence and three markers of sexual risk: mean lifetime number of partners (men: r = 0.87; P < 0.001; women: r = 0.60; P = 0.05); reporting sex with a non-married, non-cohabiting partner (men: r = 0.92; P < 0.001, women r = 0.93; P < 0.001); and premarital sex. Condom usage and HIV testing were positively associated with HIV prevalence, while the prevalence of circumcision, polygamy, age at sexual debut and male migration were not associated with HIV prevalence.

conclusionVariation in sexual behavior may contribute to the large variations in HIV prevalence by region in Ethiopia. Population-level interventions to reduce risky sexual behavior in high HIV incidence regions should be considered.

Indexed as

AdolescentAdultCircumcision, MaleCondomsEthiopiaFemaleGeographyHealth SurveysHIV InfectionsHumansMaleMiddle AgedPrevalenceRisk FactorsSexual BehaviorSexual Partners

Identifiers

PMID26496073
PMCPMC4619767

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