Evidence map›Paper›PMID 29378631›Full record

ArticleBMC public health2018

Socio-demographic and sexual practices associated with HIV infection in Kenyan injection and non-injection drug users.

Valentine Budambula, Charles Matoka, James Ouma, Aabid A Ahmed, Michael F Otieno, Tom Were

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
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  14. Functional Haplotypes in theEthiopian journal of health sciences · 2020
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  17. The Opioid Epidemic in Africa And Its Impact.Current addiction reports · 2018
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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 at 4 institutions in 1 country.

Valentine BudambulaDepartment of Environment and Health Sciences, Technical University of Mombasa, P. O. Box 90420-80100, Mombasa, Kenya. valbudambula@gmail.com.ORCID 0000-0003-2852-3973
Charles MatokaDepartment of Applied Sciences, Technical University of Mombasa, P. O. Box 90420-80100, Mombasa, Kenya.
James OumaDepartment of Environmental Health, University of Kabianga, P. O. Box 2030-20200, Kericho, Kenya.
Aabid A AhmedBomu Hospital, P.O Box 95683-80106, Mombasa, Kenya.
Michael F OtienoDepartment of Medical Laboratory Sciences, Kenyatta University, P. O. Box 43844-00100, Nairobi, Kenya.
Tom WereDepartment of Medical Laboratory Sciences, Masinde Muliro University of Science and Technology, P.O. Box 190-50100, Kakamega, Kenya. mugogwe@yahoo.com.
Technical University of Mombasa · KEKenyatta University · KEMasinde Muliro University of Science and Technology · KEUniversity of Kabianga · KE

Funding

Kenya National Commission for Science, Technology and Innovation NCST/5/003/065
6 · The paper itself

Abstract

backgroundSubstance use is increasingly becoming prevalent on the African continent, fueling the spread of HIV infection. Although socio-demographic factors influence substance consumption and risk of HIV infection, the association of these factors with HIV infection is poorly understood among substance users on the African continent. The objective of the study was to assess socio-demographic and sexual practices that are associated with HIV infection among injection drug users (IDUs), non-IDUs, and non-drug users (DUs) at an urban setting of coastal Kenya.

methodsA cross-sectional descriptive study was conducted among 451 adults comprising HIV-infected and -uninfected IDUs (n = 157 and 39); non-IDUs (n = 17 and 48); and non-DUs (n = 55 and 135); respectively at coastal, Kenya. Respondent driven sampling, snowball and makeshift methods were used to enroll IDUs and non-IDUs. Convenience and purposive sampling were used to enroll non-DUs from the hospital's voluntary HIV testing unit. Participant assisted questionnaire was used in collecting socio-demographic data and sexual practices.

resultsBinary logistic regression analysis indicated that higher likelihood of HIV infection was associated with sex for police protection (OR, 9.526; 95% CI, 1.156-78.528; P = 0.036) and history of sexually transmitted infection (OR, 5.117; 95% CI, 1.924-13.485; P = 0.001) in IDUs; divorced, separated or widowed marital status (OR, 6.315; 95% CI, 1.334-29.898; P = 0.020) in non-IDUs; and unemployment (OR, 2.724; 95% CI, 1.049-7.070; P = 0.040) in non-drug users. However, never married (single) marital status (OR, 0.140; 95% CI, 0.030-0.649; P = 0.012) was associated with lower odds for HIV infection in non-drug users.

conclusionAltogether, these results suggest that socio-demographic and sexual risk factors for HIV transmission differ with drug use status, suggesting targeted preventive measures for drug users.

Indexed as

AdultCross-Sectional StudiesDrug UsersFemaleHIV InfectionsHumansKenyaMaleMiddle AgedRisk FactorsSexual BehaviorSocioeconomic FactorsSubstance Abuse, IntravenousHIV infectionInjection drug users (IDUs)Non-drug usersNon-IDUsSocio-demographic and sexual risk practices

Identifiers

PMID29378631
PMCPMC5789578
OpenAlexW2789162874

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.