| Literature DB >> 33262753 |
Ronaldo Lopes de Souza1,2,3, Marcelo Victor Serejo Pereira2,3, Rachel Macedo da Silva4, João Bráullio de Luna Sales2,3, Danilo Cesar Lima Gardunho2,3, Jacqueline Cortinhas Monteiro2,3, Leonardo Quintão Siravenha2,3, Anderson Luiz Bessa da Luz2,3, Ricardo Roberto de Souza Fonseca2,3, Aldemir Branco Oliveira-Filho5, Marluísa de Oliveira Guimarães Ishak2,3, Ricardo Ishak2,3, Luiz Fernando Almeida Machado1,2,3.
Abstract
Female sex workers (FSWs) represent a key population for the acquisition of sexually transmitted infections (STI) due to their social vulnerability and the risks associated with their occupation. This study was conducted to describe the sociodemographic characteristics and sexual behavior among FSWs in cities in northern Brazil, to determine the prevalence of human immunodeficiency virus 1 (HIV-1) and human T-cell lymphotropic virus (HTLV-1/2) infections and to identify the circulating subtypes of these agents in this key population. A cross-sectional study using the Time Location Sampling (TLS) method was conducted among 339 FSWs in cities in the state of Pará from 2005 to 2006. Serological and molecular tests were performed to identify infections and viral subtypes, and bivariate and multivariate analyses were conducted to identify risk factors. Most FSWs were young, single, less educated and had at least one child. The prevalence of antibodies against HIV-1 and HTLV-1 was 2.3 and 1.7%, respectively. HIV-1 subtypes B (87.5%) and F1 (12.5%) were identified among FSWs, as were Cosmopolitan subtype (1a) and Transcontinental subgroup (A). Unprotected sex and illicit drug use were associated with HIV-1 and HTLV-1 infections using bivariate and multivariate analyses, and age ≥27 years was associated only with HIV. The important information highlighted here clearly indicates that the lack of actions to control and prevent pathogens in FSWs and the lack of strategies for health promotion in key populations can further aggravate the epidemiological scenario of viral infections in remote areas with low human development indices. Neglecting these facts may be causing the spread of these two viruses and their respective subtypes in the general population of northern Brazil.Entities:
Keywords: Brazil; HIV; HTLV; epidemiology; female sex workers
Year: 2020 PMID: 33262753 PMCID: PMC7686468 DOI: 10.3389/fmicb.2020.602664
Source DB: PubMed Journal: Front Microbiol ISSN: 1664-302X Impact factor: 5.640
FIGURE 1Geographic location of cities in the state of Pará (PA), northern Brazil. The numbers indicate the cities of Belém (1), Barcarena (2), Bragança (3), and Augusto Correa (4).
Characteristics of the population sample of FSWs in four cities in the state of Pará, northern Brazil (2005–2006).
| Characteristics | Cities | Total ( | ||||||||
| Bragança ( | Augusto corrêa ( | Belém ( | Barcarena ( | |||||||
| % | % | % | % | % | ||||||
| Average | 24.7 | 24.9 | 31.7 | 27.4 | 27.2 | |||||
| Range | 15–54 | 16–56 | 15–71 | 16–51 | 15–71 | |||||
| Single | 87 | 89.8 | 20 | 64.5 | 83 | 79.1 | 95 | 90.5 | 285 | 84.1 |
| Married | 11 | 10.2 | 11 | 35.5 | 22 | 20.9 | 10 | 9.5 | 54 | 15.9 |
| Yes | 57 | 58.4 | 20 | 64.5 | 98 | 93.4 | 56 | 53.5 | 231 | 68.1 |
| No | 41 | 41.6 | 11 | 35.5 | 7 | 6.6 | 49 | 46.5 | 108 | 31.9 |
| Average | 2.4 | 2.5 | 2.8 | 2.8 | 2.6 | |||||
| ≤8 | 90 | 91.8 | 29 | 93.5 | 86 | 81.9 | 74 | 70.4 | 279 | 82.3 |
| >8 | 8 | 8.2 | 2 | 6.5 | 19 | 18.1 | 31 | 29.6 | 60 | 17.7 |
| Up to 1 wage* | 41 | 41.8 | 23 | 74.2 | 43 | 40.9 | 38 | 36.2 | 145 | 42.8 |
| More than 1 wage | 57 | 58.2 | 8 | 25.8 | 62 | 59.1 | 67 | 63.8 | 194 | 52.2 |
| Yes | 0 | 0 | 0 | 0 | 25 | 23.8 | 19 | 18.1 | 44 | 13.0 |
| No | 98 | 100.0 | 31 | 100.0 | 80 | 76.2 | 86 | 81.9 | 295 | 87.0 |
| Yes | 60 | 61.2 | 16 | 51.6 | 72 | 68.5 | 52 | 49.5 | 200 | 59.0 |
| No | 38 | 38.8 | 15 | 48.4 | 33 | 31.5 | 53 | 50.5 | 139 | 41.0 |
| Average | 12.0 | 8.9 | 10.5 | 7.0 | 9.6 | |||||
| Range | 11–42 | 8–23 | 15–50 | 7–20 | 7–50 | |||||
| Positive | 0 | 0.0 | 0 | 0.0 | 7 | 6.6 | 1 | 0.9 | 8 | 2.4 |
| Negative | 98 | 100.0 | 31 | 100.0 | 98 | 93.4 | 104 | 99.1 | 331 | 97.6 |
| Positive | 0 | 0.0 | 1 | 0.9 | 4 | 3.8 | 1 | 0.9 | 6 | 1.8 |
| Negative | 98 | 100.0 | 30 | 99.1 | 101 | 96.2 | 104 | 99.1 | 333 | 98.2 |
FIGURE 2Phylogenetic tree constructed by maximum likelihood using PR sequences (297 base pairs) belonging to the HIV-1 protease region detected in female sex workers in cities of the state of Pará, northern Brazil. The tree was rooted at the midpoint. Asterisks point to key nodes with high support (aLRT ≥ 0.90). Samples from this study can be identified by city acronym [Belém (BEL) and Barcarena (BAR)] + number, and highlighted with black squares.
FIGURE 3Phylogenetic tree constructed by maximum likelihood using long terminal repeat (LTR) sequences (548 base pairs) belonging to the HTLV-1 detected in female sex workers in cities of the state of Pará, northern Brazil. The tree was rooted at the midpoint. Asterisks point to key nodes with high support (aLRT ≥ 0.90). Samples from this study can be identified by city acronym [Augusto Correa (AUC), Barcarena (BAR), or Belém (BEL)] + number, and highlighted with black squares.
Bivariate and multivariate analysis of factors associated with HIV and HTLV among female sex workers in the state of Pará, northern Brazil (2005–2006).
| Characteristics | HIV + (%) | HIV (%) | Bivariate analysis | Multivariate analysis | HLχ2 ( | |||
| OR (95% CI) | aOR (95% CI) | |||||||
| Total | 339 | 8 (2.4) | 331 (97.6) | |||||
| Age ≥ 27 years | 59 | 5 (8.5) | 54 (91.5) | 0.02 | 8.5 (2.0–33.6) | 0.01 | 7.1 (2.6–18.3) | 1.9 (0.4) |
| Use of illicit drugs | 44 | 6 (13.6) | 38 (86.4) | <0.01 | 23.2 (4.5–68.3) | <0.01 | 18.8 (13.4–28.7) | |
| Unprotected sexual relations+ | 121 | 7 (5.8) | 116 (94.2) | <0.01 | 13.1 (1.7–59.5) | <0.01 | 13.2 (9.6–21.5) | |
| Total | 339 | 6 (1.8) | 333 (98.2) | |||||
| Use of illicit drugs | 44 | 3 (6.8) | 336 (93.2) | 0.03 | 7.1 (1.4–34.2) | 0.02 | 7.6 (2.5–12.4) | 0.8 (0.4) |
| Unprotected sexual relations+ | 121 | 5 (4.1) | 334 (95.9) | 0.02 | 9.5 (1.1–61.1) | 0.01 | 9.3 (4.9–14.2) | |