Characterization of female sex workers in Brazilian capitals, 2016

Detalhes bibliográficos
Autor(a) principal: Braga, Letícia Penna
Data de Publicação: 2020
Outros Autores: Szwarcwald, Célia Landmann, Damacena, Giseli Nogueira
Tipo de documento: preprint
Idioma: por
Título da fonte: SciELO Preprints
Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/795
Resumo: Objective. To describe the characteristics of female sex workers (FSW) from 12 Brazilian cities. Methods. Cross-sectional study of Biological and Behavioral Surveillance Survey (BBSS) with FSW recruited by Respondent-Driven Sampling (RDS), in 2016. HIV prevalence, sociodemographic, behavioral, and variables related to sex work were estimated by city. Chi-square test was used to compare these distributions. Results. Among 4,328 FSW, HIV prevalence was 5.3% (95%CI 4.5;6.3), ranging from 0.2% (95% CI 0.0;1.2), in Campo Grande, to 18.2 (95%CI 13.2;24.7) in Salvador.  In half of the cities, HIV prevalence in the samples was >5.0%, while Campo Grande, Brasília and Belo Horizonte had prevalence rates <1.0%. Significant differences between cities were found in the distributions according to educational level, income, workplace, starting age of sex work, and illicit drugs use. Conclusion. The characteristics of the samples in each city were distinct and have influenced local HIV prevalence.
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spelling Characterization of female sex workers in Brazilian capitals, 2016Caracterización de las mujeres trabajadoras sexuales en las capitales brasileñas, 2016Caracterização de mulheres trabalhadoras do sexo em capitais brasileiras, 2016HIVTrabalho SexualAmostragemRede SocialPopulações VulneráveisBrasilHIVSex WorkSampling StudiesSocial NetworkingVulnerable PopulationsBrazilObjective. To describe the characteristics of female sex workers (FSW) from 12 Brazilian cities. Methods. Cross-sectional study of Biological and Behavioral Surveillance Survey (BBSS) with FSW recruited by Respondent-Driven Sampling (RDS), in 2016. HIV prevalence, sociodemographic, behavioral, and variables related to sex work were estimated by city. Chi-square test was used to compare these distributions. Results. Among 4,328 FSW, HIV prevalence was 5.3% (95%CI 4.5;6.3), ranging from 0.2% (95% CI 0.0;1.2), in Campo Grande, to 18.2 (95%CI 13.2;24.7) in Salvador.  In half of the cities, HIV prevalence in the samples was >5.0%, while Campo Grande, Brasília and Belo Horizonte had prevalence rates <1.0%. Significant differences between cities were found in the distributions according to educational level, income, workplace, starting age of sex work, and illicit drugs use. Conclusion. The characteristics of the samples in each city were distinct and have influenced local HIV prevalence.Objetivos. Describir las características de las mujeres trabajadoras sexuales (MTS) de 12 ciudades brasileñas. Métodos. Estudio transversal de vigilancia biológica y conductual con MTS reclutadas por Respondent-Driven Sampling, 2016. La prevalencia del VIH, las características sociodemográficas, de comportamiento y relacionadas con la profesión se estimaron por ciudad. Se utilizó chi-cuadrado para comparar essas distribuciones. Resultados. Entre 4,328 MTS, la prevalencia del VIH fue 5.3% (IC95% 4,5;6,3), variando de 0.2% (IC95% 0,0;1,2) en Campo Grande a 18.2% (IC95% 13,2;24,7) en Salvador.  En la mitad de las ciudades, la prevalencia del VIH fue >5.0%, mientras que Campo Grande, Brasíla y Belo Horizonte tuvieron  prevalencia <1.0%. Se encontraron diferencias significativas entre las ciudades en las distribuciones de acuerdo con la  escolaridad, ingresos, lugar de trabajo, edad de inicio del trabajo sexual y uso de drogas ilícitas. Conclusión. Las características de las muestras locales fueron  diferentes e influyeron en la prevalencia local del VIH. Palabras-clave: VIH; Trabajo Sexual; Muestreo; Red Social; Poblaciones Vulnerables; Brasil.Objetivo. Descrever as características das mulheres trabalhadoras do sexo (MTS) de 12 capitais brasileiras. Métodos. Estudo transversal de vigilância biológica e comportamental com MTS recrutadas por respondent-driven sampling (RDS), em 2016. Foram estimadas, por cidade, as prevalências de HIV, características sociodemográficas, comportamentais e da profissão. Utilizou-se o teste de qui-quadrado para comparar essas distribuições. Resultados. Entre 4.328 MTS, a prevalência da infecção pelo HIV foi de 5,3% (IC95% 4,5;6,3), variando de 0,2% (IC95% 0,0;1,2) em Campo Grande, a 18,2% (IC95% 13,2;24,7) em Salvador. Em metade das cidades, a prevalência de HIV nas amostras foi >5,0%, enquanto Campo Grande, Brasília e Belo Horizonte apresentaram prevalências <1,0%. Diferenças significativas entre as cidades foram encontradas nas distribuições segundo escolaridade, renda, local de trabalho, idade de início do trabalho sexual, e uso de drogas ilícitas. Conclusão. As características das amostras em cada cidade foram distintas, e influenciaram a prevalência local de HIV.SciELO PreprintsSciELO PreprintsSciELO Preprints2020-06-19info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/79510.1590/SciELOPreprints.795porhttps://preprints.scielo.org/index.php/scielo/article/view/795/1081Copyright (c) 2020 Letícia Penna Braga, Célia Landmann Szwarcwald, Giseli Nogueira Damacenahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessBraga, Letícia Penna Szwarcwald, Célia Landmann Damacena, Giseli Nogueira reponame:SciELO Preprintsinstname:SciELOinstacron:SCI2020-06-16T19:07:39Zoai:ops.preprints.scielo.org:preprint/795Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2020-06-16T19:07:39SciELO Preprints - SciELOfalse
dc.title.none.fl_str_mv Characterization of female sex workers in Brazilian capitals, 2016
Caracterización de las mujeres trabajadoras sexuales en las capitales brasileñas, 2016
Caracterização de mulheres trabalhadoras do sexo em capitais brasileiras, 2016
title Characterization of female sex workers in Brazilian capitals, 2016
spellingShingle Characterization of female sex workers in Brazilian capitals, 2016
Braga, Letícia Penna
HIV
Trabalho Sexual
Amostragem
Rede Social
Populações Vulneráveis
Brasil
HIV
Sex Work
Sampling Studies
Social Networking
Vulnerable Populations
Brazil
title_short Characterization of female sex workers in Brazilian capitals, 2016
title_full Characterization of female sex workers in Brazilian capitals, 2016
title_fullStr Characterization of female sex workers in Brazilian capitals, 2016
title_full_unstemmed Characterization of female sex workers in Brazilian capitals, 2016
title_sort Characterization of female sex workers in Brazilian capitals, 2016
author Braga, Letícia Penna
author_facet Braga, Letícia Penna
Szwarcwald, Célia Landmann
Damacena, Giseli Nogueira
author_role author
author2 Szwarcwald, Célia Landmann
Damacena, Giseli Nogueira
author2_role author
author
dc.contributor.author.fl_str_mv Braga, Letícia Penna
Szwarcwald, Célia Landmann
Damacena, Giseli Nogueira
dc.subject.por.fl_str_mv HIV
Trabalho Sexual
Amostragem
Rede Social
Populações Vulneráveis
Brasil
HIV
Sex Work
Sampling Studies
Social Networking
Vulnerable Populations
Brazil
topic HIV
Trabalho Sexual
Amostragem
Rede Social
Populações Vulneráveis
Brasil
HIV
Sex Work
Sampling Studies
Social Networking
Vulnerable Populations
Brazil
description Objective. To describe the characteristics of female sex workers (FSW) from 12 Brazilian cities. Methods. Cross-sectional study of Biological and Behavioral Surveillance Survey (BBSS) with FSW recruited by Respondent-Driven Sampling (RDS), in 2016. HIV prevalence, sociodemographic, behavioral, and variables related to sex work were estimated by city. Chi-square test was used to compare these distributions. Results. Among 4,328 FSW, HIV prevalence was 5.3% (95%CI 4.5;6.3), ranging from 0.2% (95% CI 0.0;1.2), in Campo Grande, to 18.2 (95%CI 13.2;24.7) in Salvador.  In half of the cities, HIV prevalence in the samples was >5.0%, while Campo Grande, Brasília and Belo Horizonte had prevalence rates <1.0%. Significant differences between cities were found in the distributions according to educational level, income, workplace, starting age of sex work, and illicit drugs use. Conclusion. The characteristics of the samples in each city were distinct and have influenced local HIV prevalence.
publishDate 2020
dc.date.none.fl_str_mv 2020-06-19
dc.type.driver.fl_str_mv info:eu-repo/semantics/preprint
info:eu-repo/semantics/publishedVersion
format preprint
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://preprints.scielo.org/index.php/scielo/preprint/view/795
10.1590/SciELOPreprints.795
url https://preprints.scielo.org/index.php/scielo/preprint/view/795
identifier_str_mv 10.1590/SciELOPreprints.795
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://preprints.scielo.org/index.php/scielo/article/view/795/1081
dc.rights.driver.fl_str_mv Copyright (c) 2020 Letícia Penna Braga, Célia Landmann Szwarcwald, Giseli Nogueira Damacena
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Letícia Penna Braga, Célia Landmann Szwarcwald, Giseli Nogueira Damacena
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
dc.source.none.fl_str_mv reponame:SciELO Preprints
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instname_str SciELO
instacron_str SCI
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repository.mail.fl_str_mv scielo.submission@scielo.org
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