Evidence map›Paper›PMID 33575900›Full record

ArticleAIDS and behavior2021

Prevalence and Risk Factors for HIV Infection Among Heterosexual Men Recruited from Socializing Venues in Rural KwaZulu-Natal, South Africa.

Nonzwakazi P Ntombela, Ayesha B M Kharsany, Adenike Soogun, Nonhlanhla Yende-Zuma, Hans-Peter Kohler, Lyle R McKinnon

Abstract read
In one paragraph

Article in AIDS and behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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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3 · Its place in the literature

Who cites it

6 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

6 authors.

Nonzwakazi P Ntombela *Centre for the AIDS Programme of Research in South Africa, University of KwaZulu-Natal, Durban, South Africa.
Ayesha B M Kharsany *Centre for the AIDS Programme of Research in South Africa, University of KwaZulu-Natal, Durban, South Africa. Ayesha.Kharsany@caprisa.org.ORCID http://orcid.org/0000-0001-7457-0194
Adenike SoogunCentre for the AIDS Programme of Research in South Africa, University of KwaZulu-Natal, Durban, South Africa.
Nonhlanhla Yende-ZumaCentre for the AIDS Programme of Research in South Africa, University of KwaZulu-Natal, Durban, South Africa.
Hans-Peter KohlerPopulation Studies Center and Department of Sociology, University of Pennsylvania, Philadelphia, USA.
Lyle R McKinnonCentre for the AIDS Programme of Research in South Africa, University of KwaZulu-Natal, Durban, South Africa.

Funding

Identifying sources of HIV infection in adolescent girls in rural South AfricaR01HD083343 · NICHD · CENTRE/AIDS PROGRAMME/RES/SOUTH AFRICA · PI KHARSANY, AYESHA BM, KOHLER, HANS-PETER · 2015 to 2019
$1.7M
DSI and NRF 96354National Institutes of Health (US) R01HD083343NICHD NIH HHS R01 HD083343University of Kwa Zulu-Natal 207525096
6 · The paper itself

Abstract

Young heterosexual men have low uptake of HIV prevention and treatment services and represent an important key population that may require novel strategies. We recruited 1271 heterosexual men, 12 years and older from socializing venues such as "shebeens", transport hubs, "spaza" shops, and community centers in rural KwaZulu-Natal, South Africa. Participants completed a questionnaire and were tested for HIV serostatus. Generalized estimating equations (GEE) with exchangeable covariance structure estimated factors independently associated with prevalent HIV infection. Median age was 25 years [Interquartile range (IQR) 21-29]. HIV prevalence was 15.5% [95% confidence interval (CI) 11.0-21.9] and increased significantly by age. Factors associated with higher odds of HIV infection were being 25 years and older [adjusted odds ratio (aOR) 4.82, 95% CI 3.47-6.69; p < 0.001), not completing high school (aOR 1.60, 95% CI 1.39-1.85; p < 0.001), not using condoms at first sex (aOR 1.43, 95% CI 1.20-1.70; p < 0.001), consuming alcohol (aOR 1.63, 95% CI 1.15-2.31; p = 0.006) or substances (aOR 1.37, 95% CI 1.31-1.44; p < 0.001), and absence of medical circumcision (aOR 2.05, 95% CI 1.71-2.44; p < 0.001). Risk was lower among those testing for HIV in last 12 months (aOR 0.54, 95% CI 0.36-0.80; p = 0.002). Greater effort is needed to implement innovative programs within settings that are easily accessible and where heterosexual men are likely to be.

Indexed as

HeterosexualityHIV InfectionsAdultHumansMalePrevalenceRisk FactorsRural PopulationSouth AfricaHeterosexual menHIV prevalenceKwaZulu-NatalRisk factors

Identifiers

PMID33575900
PMCPMC9012184

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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.