Evidence map›Paper›PMID 30943254›Full record

ArticlePloS one2019

HIV incidence and predictors of inconsistent condom use among adult men enrolled into an HIV vaccine preparedness study, Rustenburg, South Africa.

Pholo Maenetje, Christina Lindan, Heeran Makkan, Candice M Chetty-Makkan, Mary H Latka, Salome Charalambous, Mandla Mlotshwa, Matshidiso Malefo, William Brumskine, Nancy K Hills and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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

12 authors at 4 institutions in 2 countries.

Pholo MaenetjeThe Aurum Institute, Johannesburg, South Africa.ORCID 0000-0001-6063-4353
Christina LindanDepartment of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, United States of America.
Heeran MakkanThe Aurum Institute, Johannesburg, South Africa.ORCID 0000-0002-4737-7804
Candice M Chetty-MakkanThe Aurum Institute, Johannesburg, South Africa.
Mary H LatkaThe Aurum Institute, Johannesburg, South Africa.
Salome CharalambousThe Aurum Institute, Johannesburg, South Africa.
Mandla MlotshwaThe Aurum Institute, Johannesburg, South Africa.
Matshidiso MalefoThe Aurum Institute, Johannesburg, South Africa.
William BrumskineThe Aurum Institute, Johannesburg, South Africa.
Nancy K HillsDepartment of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, United States of America.
Matthew A PriceDepartment of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, United States of America.
Vinodh EdwardThe Aurum Institute, Johannesburg, South Africa.ORCID 0000-0003-3952-4760
Aurum Institute · ZASouth African Medical Research Council · ZAUniversity of California, San Francisco · USInternational AIDS Vaccine Initiative · US

Funding

Int'l Traineeships in AIDS Prevention Studies (ITAPS)R25MH064712 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LINDAN, CHRISTINA P · 2002 to 2018
$3.4M
International Traineeships in AIDS Prevention Studies (ITAPS)R25MH123256 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHRISTINA P LINDAN · 2020 to 2026
$1.8M
NIMH NIH HHS R25 MH064712NIMH NIH HHS R25 MH123256
6 · The paper itself

Abstract

introductionUnderstanding HIV incidence and risk behaviour among populations being considered for HIV vaccine studies is necessary for the appropriate design of trials.

methodsBetween May 2012 and June 2015, we recruited men aged 18-49 years from urban and peri-urban areas of Rustenburg, a mining town in the North West Province, South Africa. Men who reported HIV-risk behaviour were followed for nine to 12 months to determine HIV incidence and factors associated with condom use.

resultsA total of 400 HIV uninfected men were enrolled; 366 (91.5%) had at least one follow-up visit and were included in the analysis; 47.6% were under 25 years of age. HIV incidence was 1.9 per 100 person-years (95% CI: 0.79-4.56). Among heterosexual men (N = 339), 80.8% reported having vaginal intercourse with multiple partners in the past three months, among whom 74.1% reported inconsistent condom use. Sixty-eight percent reported vaginal intercourse with new female partners, of whom 40.6% reported inconsistent condom use. Over half (55.6%) of men who had sex with men (N = 27) reported anal intercourse with multiple male partners in the past three months, of whom 68.2% reported using condoms inconsistently. Men who had more than two female partners in the last three months (n = 121) were more likely to use condoms inconsistently (aOR 4.31, 95% CI: 1.34-13.8); in contrast, those with more than one new female sex partner (aOR 0.13, 94% CI 0.04-0.44), and whose sexual debut was after 19 years of age (aOR 0.39, 95% CI: 0.15-1.01) were less likely to use condoms inconsistently.

conclusionHIV incidence was low and similar to other studies of heterosexual men in South Africa. To identify men at high risk for HIV for enrolment in prevention trials, future researchers may need to focus on those who report early sexual debut and who report having multiple sexual partners. Men in newer relationships appear to use condoms more frequently.

Indexed as

CondomsSexual BehaviorAdolescentAdultAIDS VaccinesHIV InfectionsHumansIncidenceMaleMiddle AgedRisk FactorsSexual PartnersSouth AfricaYoung AdultAIDS Vaccines

Identifiers

PMID30943254
PMCPMC6447216
OpenAlexW2932483937

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.