Evidence map›Paper›PMID 36550547›Full record

ArticleBMC women's health2022

Does asset ownership influence sexual risk-taking behaviors among women engaged in sex work in Southern Uganda? A mediation analysis.

Josephine Nabayinda, Joshua Kiyingi, Samuel Kizito, Edward Nsubuga, Proscovia Nabunya, Ozge Sensoy Bahar, Natasja Magorokosho, Jennifer Nattabi, Susan Witte, Ssewamala Fred Melch

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Article in BMC women's health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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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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

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Josephine NabayindaInternational Center for Child Health and Development (ICHAD), Washington University in St. Louis Brown School, 1 Brookings Drive, St. Louis, MO, 63130, USA.
Joshua KiyingiInternational Center for Child Health and Development (ICHAD), Washington University in St. Louis Brown School, 1 Brookings Drive, St. Louis, MO, 63130, USA.
Samuel KizitoInternational Center for Child Health and Development (ICHAD), Washington University in St. Louis Brown School, 1 Brookings Drive, St. Louis, MO, 63130, USA.
Edward NsubugaInternational Center for Child Health and Development (ICHAD), Washington University in St. Louis Brown School, 1 Brookings Drive, St. Louis, MO, 63130, USA.
Proscovia NabunyaInternational Center for Child Health and Development (ICHAD), Washington University in St. Louis Brown School, 1 Brookings Drive, St. Louis, MO, 63130, USA.
Ozge Sensoy BaharInternational Center for Child Health and Development (ICHAD), Washington University in St. Louis Brown School, 1 Brookings Drive, St. Louis, MO, 63130, USA.
Natasja MagorokoshoInternational Center for Child Health and Development (ICHAD), Washington University in St. Louis Brown School, 1 Brookings Drive, St. Louis, MO, 63130, USA.
Jennifer NattabiInternational Center for Child Health and Development (ICHAD), Washington University in St. Louis Brown School, 1 Brookings Drive, St. Louis, MO, 63130, USA.
Susan WitteColumbia University School of Social Work, 1255 Amsterdam Avenue, New York, NY, 10027, USA.
Ssewamala Fred MelchInternational Center for Child Health and Development (ICHAD), Washington University in St. Louis Brown School, 1 Brookings Drive, St. Louis, MO, 63130, USA. fms1@wustl.edu.

Funding

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 MH118935
6 · The paper itself

Abstract

backgroundEconomic vulnerability influences women engaged in commercial sex work (WESW) to further engage in sexual risk behaviors, as they often have multiple customers and engage in unprotected sex for financial gains. This study examined asset ownership's direct and indirect impact on sexual risk-taking behaviors among WESW in Southern Uganda, a very vulnerable group of women at high risk for contracting HIV and other STIs. METHODOLOGY: We used baseline data from the Kyaterekera study, an NIH-funded study among WESW aged 18-55 across 19 HIV hotspots in Southern Uganda. Structural equation modeling was used to examine the direct, indirect, and total effects of assets-defined as ownership of physical and financial resources-on sexual risk-taking behaviors among WESW.

resultsResults showed that asset ownership was associated with a decrease in depression (β =  - 0.096 [95% CI - 0.191, - 0.001], p = 0.050) and increased access to medical care (β = 0.174 [95% CI 0.072, 0.275], p = 0.001).We also found that an increase in access to medical care was associated with decreased sexual risk-taking behaviors (β =  - 0.107 [95% CI - 0.210, - 0.004], p = 0.041). We observed a specific indirect effect between assets and sexual risk-taking behaviors through access to medical care (β =  - 0.019 [95% CI - 0.040, - 0.002], p = 0.05). Mediation contributed 31% of the total effects of asset ownership on sexual risk-taking behaviors.

conclusionTo our knowledge, this is among the few studies to examine the impact of asset ownership on sexual risk-taking behaviors among WESW in Southern Uganda. Findings from this study indicate that increasing access to economic resources may reduce the risk of WESW engaging in unprotected sex for higher income, which limits the spread of HIV among this population. The results also indicate that asset ownership may allow women to access healthcare services.

Indexed as

HIV InfectionsSex WorkFemaleHumansMediation AnalysisOwnershipRisk-TakingSexual BehaviorUgandaAssets/economic resourcesPovertySexual-risk-taking behaviorsWomen engaged in sex work

Identifiers

PMID36550547
PMCPMC9773531

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.