Evidence map›Paper›PMID 37018458›Full record

ArticleInternational journal of STD & AIDS2023

Predictors of mobility among women engaged in commercial sex work in Uganda using generalized estimating equations model.

Joshua Kiyingi, Susan S Witte, Proscovia Nabunya, Edward Nsubuga, Ozge Sensoy Bahar, Larissa Jennings Mayo-Wilson, Samuel Kizito, Jennifer Nattabi, Josephine Nabayinda, Fred M Ssewamala

Abstract read
In one paragraph

Article in International journal of STD & AIDS, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Joshua KiyingiWashington University in St Louis Brown School, International Center for Child Health and Development (ICHAD), St Louis, MO, USA.ORCID 0000-0001-7264-6976
Susan S WitteColumbia University, School of Social Work, New York, NY, USA.
Proscovia NabunyaWashington University in St Louis Brown School, International Center for Child Health and Development (ICHAD), St Louis, MO, USA.ORCID 0000-0002-9088-5839
Edward NsubugaWashington University in St Louis Brown School, International Center for Child Health and Development (ICHAD), St Louis, MO, USA.
Ozge Sensoy BaharWashington University in St Louis Brown School, International Center for Child Health and Development (ICHAD), St Louis, MO, USA.
Larissa Jennings Mayo-WilsonUniversity of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA.
Samuel KizitoWashington University in St Louis Brown School, International Center for Child Health and Development (ICHAD), St Louis, MO, USA.
Jennifer NattabiWashington University in St Louis Brown School, International Center for Child Health and Development (ICHAD), St Louis, MO, USA.
Josephine NabayindaWashington University in St Louis Brown School, International Center for Child Health and Development (ICHAD), St Louis, MO, USA.
Fred M SsewamalaWashington University in St Louis Brown School, International Center for Child Health and Development (ICHAD), St Louis, MO, USA.

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

backgroundWomen engaged in commercial sex work (WESW) are at a higher risk of acquiring and transmitting HIV. WESW are highly mobile, and their mobility may increase their economic status, and increased access to healthcare and other social services. However, it may also facilitate the spread of HIV infection from higher to lower prevalence regions. This study examined the predictors of mobility among WESW in Uganda using a generalized estimating equations model.

methodsWe defined and measured mobility as the change in residence by WESW between baseline, 6 months, and 12 months follow-up. Participants who changed places were considered mobile, and those who never changed were non-mobile. We used data from a longitudinal study, which recruited 542 WESW from Southern Uganda aged 18-55 years and constructed a Generalized Estimating Equations Model.

resultsFindings show that 19.6% of WESW changed residence between baseline and 6 months of follow-up and 26.2% (cumulative) between baseline and 12 months of follow-up. Older women (OR = 0.966, 95% CI = 0.935, 0.997) were associated with decreased odds of mobility, whereas WESW who were HIV positive (OR = 1.475, 95% CI = 1.078, 2.018) and those from large households (OR = 1.066, 95% CI = 1.001, 1.134) were associated with increased odds of mobility. WESW residing in rural areas (OR = 0.535, 95% CI = 0.351, 0.817) were associated with decreased odds of mobility compared to those from fishing sites.

conclusionThe results indicate risk factors for mobility, further research is needed to determine the directionality of these factors in order to design interventions addressing mobility among WESW.

Indexed as

HIV InfectionsSex WorkAgedFemaleHumansLongitudinal StudiesSexual BehaviorUgandaFemale sex workersmobilitySub-saharan AfricaUganda

Identifiers

PMID37018458
PMCPMC10523898

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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.