Evidence map›Paper›PMID 31079476›Full record

ArticleAIDS care2019

Structural, interpersonal, psychosocial, and behavioral risk factors for HIV acquisition among female bar workers in Dar es Salaam, Tanzania.

Dale A Barnhart, Guy Harling, Aisa Muya, Katrina F Ortblad, Irene Mashasi, Peter Dambach, Nzovu Ulenga, Eric Mboggo, Catherine E Oldenburg, Till W Bärnighausen and 1 more

Abstract read
In one paragraph

Article in AIDS care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–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

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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  6. Frontiers in public health · 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

11 authors.

Dale A Barnharta Department of Epidemiology , Harvard T.H. Chan School of Public Health , Boston , USA.ORCID 0000-0003-0129-0313
Guy Harlinga Department of Epidemiology , Harvard T.H. Chan School of Public Health , Boston , USA.
Aisa Muyad Amref Health Africa , Dar es Salaam , Tanzania.
Katrina F Ortbladf Department of Global Health , University of Washington , Seattle , USA.
Irene Mashasie Management and Development for Health , Dar es Salaam , Tanzania.
Peter Dambachg Institute of Public Health , University of Heidelberg , Heidelberg , Germany.
Nzovu Ulengae Management and Development for Health , Dar es Salaam , Tanzania.
Eric Mboggoe Management and Development for Health , Dar es Salaam , Tanzania.
Catherine E Oldenburgh Francis I. Proctor Foundation , University of California , San Francisco , USA.
Till W Bärnighausenc Africa Health Research Institute , KwaZulu-Natal , South Africa.
Donna Spiegelmanl Departments of Epidemiology, Biostatistics, Nutrition, and Global Health and Population , Harvard T.H. Chan School of Public Health , Boston , USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
SOCIAL AND ECONOMIC PREDICTORS OF PHYSICAL AND COGNITIVE FUNCTIONP01AG041710 · NIA · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI LISA F BERKMAN, THOMAS A GAZIANO · 2013 to 2026
$37.3M
HIV and Other Infectious Consequences of Substance UseT32DA013911 · NIDA · MIRIAM HOSPITAL · PI TRACI C GREEN, JOSIAH D RICH · 2001 to 2026
$9.6M
Epidemiology of Infectious Diseases and BiodefenseT32AI007535 · NIAID · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI GRAD, YONATAN H, MURRAY, MEGAN B · 1998 to 2025
$4.8M
Comprehensive Translational Science Analytics Tools for the Global Health AgendaDP1ES025459 · NIEHS · YALE UNIVERSITY · PI SPIEGELMAN, DONNA L · 2014 to 2018
$4.1M
The Brown Initiative in HIV and AIDS Clinical Research for Minority CommunitiesR25MH083620 · NIMH · MIRIAM HOSPITAL · PI NUNN, AMY STEWART · 2008 to 2025
$3.7M
Training Tanzanian Researchers for HIV/AIDS Implementation ScienceD43TW009775 · FIC · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Wafaie W Fawzi, Christopher Sudfeld · 2015 to 2026
$3.0M
New Methods for the design and evaluation of large HIV prevention interventionsR01AI112339 · NIAID · YALE UNIVERSITY · PI SPIEGELMAN, DONNA L · 2014 to 2017
$2.7M
Causal Pathways to population health impact of HIV antiretroviral treatmentR01HD084233 · NICHD · UNIVERSITY OF KWAZULU-NATAL · PI BARNIGHAUSEN, TILL, TANSER, FRANK COURTENEY · 2015 to 2021
$2.3M
Can HIV Hot-Spots be eradicated? An intervention to decrease HIV transmission to young women in rural KwaZulu-Natal South AfricaR01AI124389 · NIAID · UNIVERSITY OF KWAZULU-NATAL · PI BARNIGHAUSEN, TILL, TANSER, FRANK COURTENEY · 2016 to 2020
$2.1M
FIC NIH HHS D43 TW009775NIAID NIH HHS R01 AI112339NIAID NIH HHS R01 AI124389NIAID NIH HHS T32 AI007535NIA NIH HHS P01 AG041710NICHD NIH HHS R01 HD084233NIDA NIH HHS T32 DA013911NIEHS NIH HHS DP1 ES025459NIMH NIH HHS R25 MH083620Wellcome Trust
6 · The paper itself

Abstract

In sub-Saharan Africa, female bar workers (FBWs) often serve as informal sex workers. Little is known about the prevalence of HIV and HIV-related risk factors among FBWs in Dar es Salaam (DSM), Tanzania. Using an adapted Structural HIV Determinants Framework, we identified structural, interpersonal, psychosocial, and behavioral risk factors for HIV acquisition. We compared the prevalence of HIV and HIV-related risk factors among a random sample of 66 FBWs from DSM to an age-standardized, representative sample of female DSM-residents from the 2016 Demographic and Health and 2011-2012 AIDS Indicator Surveys. Compared to other women in DSM, FBWs had elevated prevalence of all four groups of risk factors. Key risk factors included gender and economic inequalities (structural); sexual violence and challenges negotiating condom use (interpersonal); depression, post-traumatic stress disorder, and low social support (psychosocial); and history of unprotected sex, multiple sex partners, and high alcohol consumption (behavioral). HIV prevalence did not differ between FBWs (7.1%, 95% CI 3.7-13.3%) and survey respondents (7.7%, 95% CI: 5.3-11.1%), perhaps due to FBWs' higher - though sub-optimal - engagement with HIV prevention strategies. Elevated exposure to HIV-related risk factors but low HIV prevalence suggests economic, psychosocial, and biomedical interventions may prevent HIV among FBWs in DSM.

Indexed as

Interpersonal RelationsAdolescentAdultCross-Sectional StudiesFemaleHIV InfectionsHumansMaleMental DisordersPovertyRisk FactorsSex WorkersSocial SupportSurveys and QuestionnairesTanzaniaUnsafe Sexfemale bar workersHIV prevalenceHIV preventionsex risk behaviorsTanzania

Identifiers

PMID31079476
PMCPMC6657807

What OpenQuestion holds

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Registered trials

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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.