Evidence map›Paper›PMID 23336005›Full record

ArticlePloS one2013

Short-term mobility and the risk of HIV infection among married couples in the fishing communities along Lake Victoria, Kenya.

Zachary A Kwena, Carol S Camlin, Chris A Shisanya, Isaac Mwanzo, Elizabeth A Bukusi

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04772469 (Self-Test Strategies and Linkage Incentives to Improve ART and PrEP Uptake in Men), which is not on this map. Cited by 68 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 1 pooled it
16.4field-weighted citation impact, top 1% 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.

NCT04772469 nacompletednot on this mapstarted 2021, after this paper: background citation

Self-Test Strategies and Linkage Incentives to Improve ART and PrEP Uptake in Men

TypeinterventionalSponsorUniversity of California, San FranciscoRan2021 to 2023Enrolled934ConditionsHuman Immunodeficiency Virus, Acquired Immunodeficiency Syndrome, HIV Infections, Sexually Transmitted Diseases, ViralArmsProvision of multiple self-tests, Small monetary incentives, Use of SMS/text reminders to motivate adherence to ART or PrEP
3 · Its place in the literature

Who cites it

68 citing papers in PubMed, 1 synthesis or guideline pooled it, 101 citations in OpenAlex.

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8 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 2 countries.

Zachary A KwenaCenter for Microbiology Research, Kenya Medical Research Institute, Kisumu, Kenya. zkwena@kemri-ucsf.org
Carol S Camlin
Chris A Shisanya
Isaac Mwanzo
Elizabeth A Bukusi
Kenya Medical Research Institute · KEKenyatta University · KEUniversity of California, San Francisco · US

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEVEN Grant DEEKS · 1988 to 2026
$93.6M
Identifying Opportunities for HIV Prevention Among Female Migrants in KenyaK01MH093205 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CAMLIN, CAROL SUZANNE · 2011 to 2015
$857k
NIAID NIH HHS P30 AI027763NIMH NIH HHS K01 MH093205
6 · The paper itself

Abstract

objectiveMobility has long been associated with high HIV prevalence. We sought to assess sex differences in the relationship between mobility and risk for HIV infection among married couples in the fishing communities.

methodsWe conducted 1090 gender-matched interviews and rapid HIV testing with 545 couples proportionally representing all the different sizes of the fish-landing beaches in Kisumu County. We contacted a random sample of fishermen as our index participants and asked them to enroll in the study together with their spouses. The consenting couples were separated into different private rooms for concurrent interviews and thereafter reunited for couple rapid HIV counselling and testing. In addition to socio-economic and behavioural data, we collected information on overnight travels and divided couples in 4 groups as follows both partners not mobile, both partners mobile, only woman mobile, and only man mobile. Other than descriptive statistics, we used X(2) and U tests to compare groups of variables and multivariate logistic regression to measure association between mobility and HIV infection.

resultsWe found significant differences in the number of trips women travelled in the preceding month (mean 4.6, SD 7.1) compared to men (mean 3.3, SD 4.9; p<0.01) and when the women did travel, they were more likely to spend more days away from home than their male partners (mean 5.2 [SD 7.2] versus 3.4 SD 5.6; p = 0.01). With an HIV prevalence of 22.7% in women compared to 20.9% among men, mobile women who had non-mobile spouses had 2.1 times the likelihood of HIV infection compared to individuals in couples where both partners were non-mobile.

conclusionThe mobility of fishermen's spouses is associated with HIV infection that is not evident among fishermen themselves. Therefore, interventions in this community could be a combination of sex-specific programming that targets women and combined programming for couples.

Indexed as

FisheriesHuman MigrationLakesRiskSpousesAdultCross-Sectional StudiesFemaleHIV InfectionsHumansKenyaMaleSocioeconomic FactorsYoung Adult

Identifiers

PMID23336005
PMCPMC3545885
OpenAlexW2003928828

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.