BACKGROUND: HIV prevalence is 15 times higher among female sex workers (FSWs) than in the overall Brazilian female population. In this article, we investigated factors associated to HIV infection among FSW, recruited by Respondent-driven sampling (RDS), in 10 Brazilian cities in 2008-2009. METHOD: The total sampling was 2523 FSWs. The variables considered in the study included sociodemographic characteristics and those related to profession, knowledge, and source of information on sexually transmitted infection/AIDS, access to condoms, sexual behavior, health care and sexually transmitted infection signs, discrimination and violence, and the use of alcohol and drugs. Sampling weights were proportional to the inverse of network size and for the generation of global results for the 10 cities, data were calibrated by the population size. Multivariate logistic regression models were used, taking into account the dependency structure of observations. RESULTS: The longest period of prostitution (odds ratio [OR], 1.040; 95% confidence interval [CI], 1.013-1.067), the lowest price charged for sex (OR, 0.713; 95% CI, 0.522-0.970), the association with other sexually transmitted infections such as syphilis (OR, 2.186; 95% CI, 1.064-4.488), and the fact of would waive the use of condom on client's request (OR, 3.735; 95% CI, 1.449-9.661) were the most important associated risk factors to HIV infection among FSWs. Purchase of condoms (OR, 0.503; 95% CI, 0.304-0.833) was a relevant preventive factor. CONCLUSIONS: The use of RDS proved to be appropriate for the recruitment of FSWs as long as the statistical analysis takes into account the dependency structure of observations. The HIV infection predictors here depicted can support public health policies focused on this population group in Brazil.
BACKGROUND: HIV prevalence is 15 times higher among female sex workers (FSWs) than in the overall Brazilian female population. In this article, we investigated factors associated to HIV infection among FSW, recruited by Respondent-driven sampling (RDS), in 10 Brazilian cities in 2008-2009. METHOD: The total sampling was 2523 FSWs. The variables considered in the study included sociodemographic characteristics and those related to profession, knowledge, and source of information on sexually transmitted infection/AIDS, access to condoms, sexual behavior, health care and sexually transmitted infection signs, discrimination and violence, and the use of alcohol and drugs. Sampling weights were proportional to the inverse of network size and for the generation of global results for the 10 cities, data were calibrated by the population size. Multivariate logistic regression models were used, taking into account the dependency structure of observations. RESULTS: The longest period of prostitution (odds ratio [OR], 1.040; 95% confidence interval [CI], 1.013-1.067), the lowest price charged for sex (OR, 0.713; 95% CI, 0.522-0.970), the association with other sexually transmitted infections such as syphilis (OR, 2.186; 95% CI, 1.064-4.488), and the fact of would waive the use of condom on client's request (OR, 3.735; 95% CI, 1.449-9.661) were the most important associated risk factors to HIV infection among FSWs. Purchase of condoms (OR, 0.503; 95% CI, 0.304-0.833) was a relevant preventive factor. CONCLUSIONS: The use of RDS proved to be appropriate for the recruitment of FSWs as long as the statistical analysis takes into account the dependency structure of observations. The HIV infection predictors here depicted can support public health policies focused on this population group in Brazil.
Authors: Kate Shannon; Steffanie A Strathdee; Shira M Goldenberg; Putu Duff; Peninah Mwangi; Maia Rusakova; Sushena Reza-Paul; Joseph Lau; Kathleen Deering; Michael R Pickles; Marie-Claude Boily Journal: Lancet Date: 2014-07-22 Impact factor: 79.321
Authors: C de Almeida-Neto; T T Goncalez; R J Birch; S M F de Carvalho; L Capuani; S C Leão; C Miranda; P C Rocha; A B Carneiro-Proietti; B R Johnson; D J Wright; E L Murphy; B Custer Journal: Vox Sang Date: 2013-03-20 Impact factor: 2.144
Authors: Hong-Ha M Truong; Michael Grasso; Yea-Hung Chen; Timothy A Kellogg; Tyler Robertson; Alberto Curotto; Wayne T Steward; Willi McFarland Journal: PLoS One Date: 2013-08-21 Impact factor: 3.240
Authors: María A Pando; Romina S Coloccini; Elena Reynaga; Marcelo Rodriguez Fermepin; Lucia Gallo Vaulet; Tadeusz J Kochel; Silvia M Montano; María M Avila Journal: PLoS One Date: 2013-01-16 Impact factor: 3.240
Authors: Ana Roberta Pati Pascom; Clarissa Habckost Dutra de Barros; Tainah Dourado de Miranda Lobo; Elisiane Nelcina Pasini; Regina Aparecida Comparini; Fábio Caldas de Mesquita Journal: Bull World Health Organ Date: 2016-06-02 Impact factor: 9.408