Evidence map›Paper›PMID 36174054›Full record

ArticlePloS one2022

Prevalence and predictors of HIV and sexually transmitted infections among vulnerable women engaged in sex work: Findings from the Kyaterekera Project in Southern Uganda.

Joshua Kiyingi, Proscovia Nabunya, Ozge Sensoy Bahar, Larissa Jennings Mayo-Wilson, Yesim Tozan, Josephine Nabayinda, Flavia Namuwonge, Edward Nsubuga, Samuel Kizito, Jennifer Nattabi and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
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  6. Distribution and Factors Associated withInfectious disease reports · 2025
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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

15 authors at 5 institutions in 2 countries.

Joshua KiyingiInternational Center for Child Health and Development (ICHAD), Brown School, Washington University in St. Louis Brown School, St. Louis, Missouri, United States of America.
Proscovia NabunyaInternational Center for Child Health and Development (ICHAD), Brown School, Washington University in St. Louis Brown School, St. Louis, Missouri, United States of America.
Ozge Sensoy BaharInternational Center for Child Health and Development (ICHAD), Brown School, Washington University in St. Louis Brown School, St. Louis, Missouri, United States of America.
Larissa Jennings Mayo-WilsonDepartment of Applied Health Science, School of Public Health, Indiana University, Bloomington, Indiana, United States of America.
Yesim TozanCollege of Global Public Health, New York University, New York, NY, United States of America.ORCID 0000-0001-8997-8897
Josephine NabayindaInternational Center for Child Health and Development (ICHAD), Brown School, Washington University in St. Louis Brown School, St. Louis, Missouri, United States of America.
Flavia NamuwongeInternational Center for Child Health and Development (ICHAD), Masaka, Uganda.
Edward NsubugaInternational Center for Child Health and Development (ICHAD), Masaka, Uganda.
Samuel KizitoInternational Center for Child Health and Development (ICHAD), Brown School, Washington University in St. Louis Brown School, St. Louis, Missouri, United States of America.
Jennifer NattabiInternational Center for Child Health and Development (ICHAD), Brown School, Washington University in St. Louis Brown School, St. Louis, Missouri, United States of America.
Fatuma NakabuyeInternational Center for Child Health and Development (ICHAD), Masaka, Uganda.
Joseph KagayiRakai Health Sciences Program, Rakai, Uganda.
Abel MwebembeziReach the Youth Uganda, Kampala, Uganda.
Susan S WitteSchool of Social Work, Columbia University, New York, NY, United States of America.
Fred M SsewamalaInternational Center for Child Health and Development (ICHAD), Brown School, Washington University in St. Louis Brown School, St. Louis, Missouri, United States of America.ORCID 0000-0002-4849-5650
Washington University in St. Louis · USColumbia University · USIndiana University Bloomington · USNew York University · USRakai Health Sciences Program · UG

Funding

Training Program for Scientists Conducting Research to Reduce HIV Health DisparitR25MH067127 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Emily A Arnold, Torsten Brian Neilands · 2003 to 2026
$5.4M
Kyaterekera Project: A Combination Intervention Addressing Sexual Risk-Taking Behaviors Among Vulnerable Women in UgandaR01MH116768 · NIMH · WASHINGTON UNIVERSITY · PI SSEWAMALA, FRED M, WITTE, SUSAN S · 2018 to 2022
$3.1M
Strengthening Child Health Research Capacity in Resource Constrained Settings: Researcher Resilience Training (RRT)R25MH118935 · NIMH · WASHINGTON UNIVERSITY · PI SEAN JOE, Mary McKernan McKay · 2018 to 2026
$1.5M
NIMH NIH HHS R01 MH116768NIMH NIH HHS R25 MH067127NIMH NIH HHS R25 MH118935
6 · The paper itself

Abstract

introductionWomen engaged in sex work (WESW) have an elevated risk of the human immunodeficiency virus (HIV) and sexually transmitted infections (STI). Estimates are three times higher than the general population. Understanding the predictors of HIV and STI among WESW is crucial in developing more focused HIV and STI prevention interventions among this population. The study examined the prevalence and predictors of HIV and STI among WESW in the Southern part of Uganda. METHODOLOGY: Baseline data from the Kyaterekera study involving 542 WESW (ages 18-55) recruited from 19 HIV hotspots in the greater Masaka region in Uganda was utilized. HIV and STI prevalence was estimated using blood and vaginal fluid samples bioassay. Hierarchical regression models were used to determine the predictors of HIV and STI among WESW.

resultsOf the total sample, 41% (n = 220) were found to be HIV positive; and 10.5% (n = 57) tested positive for at least one of the three STI (Neisseria gonorrhoeae, Chlamydia trachomatis and Trichomonas vaginalis) regardless of their HIV status. Older age (b = 0.09, 95%CI = 0.06, 0.13, p≤0.001), lower levels of education (b = -0.79, 95%CI = -1.46, -0.11, p≤0.05), fewer numbers of children in the household (b = -0.18, 95%CI = -0.36, -0.01), p≤0.05), location (i.e., fishing village (b = 0.51, 95%CI = 0.16, 0.85, p≤0.01) or small town (b = -0.60, 95%CI = -0.92, -0.28, p≤0.001)), drug use (b = 0.58, 95%CI = 0.076, 1.08, p≤0.05) and financial self-efficacy (b = 0.05, 95%CI = -0.10, 0.00, p≤0.05), were associated with the risk of HIV infections among WESW. Domestic violence attitudes (b = -0.24, 95%CI = -0.42, -0.07, p≤0.01) and financial distress (b = -0.07, 95%CI = -0.14, -0.004, p≤0.05) were associated with the risk of STI infection among WESW.

conclusionStudy findings show a high prevalence of HIV among WESW compared to the general women population. Individual and family level, behavioural and economic factors were associated with increased HIV and STI infection among WESW. Therefore, there is a need for WESW focused HIV and STI risk reduction and economic empowerment interventions to reduce these burdens.

Indexed as

HIV InfectionsSexually Transmitted DiseasesAdolescentAdultChildFemaleHumansMiddle AgedPrevalenceSex WorkUgandaYoung Adult

Identifiers

PMID36174054
PMCPMC9522279
OpenAlexW4297983718

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.