Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

medicine

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

International Journal of STD and AIDS, Volume 34, No. 9, Year 2023

Background: Women 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. Methods: We 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. Results: Findings 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. Conclusion: The 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. © The Author(s) 2023.
Statistics
Authors: 10
Affiliations: 3
Identifiers
Research Areas
Health System And Policy
Infectious Diseases
Study Design
Cross Sectional Study
Cohort Study
Study Approach
Quantitative
Study Locations
Uganda
Participants Gender
Female