Evidence map›Paper›PMID 39367332›Full record

ArticleBMC public health2024

Patterns of inconsistent condom use and risky sexual behaviors among female sex workers in Mozambique.

Rachid Muleia, Auria Ribeiro Banze, Shelsea Luís Damião, Cynthia Semá Baltazar

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Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Rachid MuleiaInstituto Nacional de Saúde, P.O. Box 264, Maputo, Mozambique. rachid.muleia@ins.gov.mz.
Auria Ribeiro BanzeInstituto Nacional de Saúde, P.O. Box 264, Maputo, Mozambique.
Shelsea Luís DamiãoUniversidade Eduardo Mondlane, Maputo, Mozambique.
Cynthia Semá BaltazarInstituto Nacional de Saúde, P.O. Box 264, Maputo, Mozambique.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFemale sex workers (FSWs) in Mozambique face significant health risks, including high HIV prevalence, combination of factors, including inconsistent condom use, engagement in risky sexual behaviors, and various socio-ecological determinants of health. Understanding the determinants of these practices is crucial for developing targeted interventions.

methodsThis cross-sectional study analyzed data from the second round of Biobehavioral Survey (BBS) conducted from 2019 to 2020 in five urban areas to examine determinants of inconsistent condom use and risky sexual behaviors among FSWs. Modified Poisson regression models were used to assess the effect of various socio-demographic, economic, and behavioral factors on the outcomes, providing adjusted relative risk (aRR) with 95% confidence intervals (CI).

resultsAmong the 2,565 FSWs who reported inconsistent condom use, younger FSWs (15-24 years old, 29.1%), single (27.3%), with secondary or higher education (26.1%), nationals (25.9%), and residents of Tete City (30.5%) had a higher prevalence of inconsistent condom use. Initiating sex work < 18 years (31.0%), binge drinking (23.7%), and experiencing physical violence (29.0%) were significantly associated with this behavior. Among the 2,564 FSWs reporting risky sexual behaviors, a higher prevalence was observed in FSWs aged 15-24 (75.6%), those with secondary or higher education (75.8%), nationals (74.4%), and those residing in Quelimane (87.3%). Early sexual debut (< 15 years, 79.3%), initiating sex work before 18 years of age (77.7%), and illicit drug use (82.2%) were all associated with increased risky sexual practices. Inconsistent condom use among FSWs was significantly associated with residing in Tete (aRR = 2.4, 95% CI: 1.77-3.25), not being aware of female condom (aRR = 1.22, 95% CI: 1.03-1.45) and having experienced sexual a physical violence. Moreover, being married was significantly linked to risky sexual behavior among female sex workers (aRR = 1.27, 95% CI: 1.19-1.37), along with initiating sexual activity before age 15, having at least five years of sex work experience, engaging in binge drinking, and experiencing sexual and physical violence.

conclusionThe study highlights the complex set of factors as age, education, geographic location, years of sex work services, early sexual debut, and illicit drug use that influence sexual risks behavior among FSWs in Mozambique. Tailored interventions addressing not only sexual health education and services, but also economic empowerment and illicit drug use is imperative for mitigating these risks.

Indexed as

CondomsSex WorkersAdolescentAdultCross-Sectional StudiesFemaleHIV InfectionsHumansMozambiqueRisk-TakingSexual BehaviorYoung AdultFemale sex workersInconsistent condom useMozambiqueRisky sexual behaviors

Identifiers

PMID39367332
PMCPMC11453092

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LicenceCC BY-NC-ND
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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.