| Literature DB >> 33237173 |
Aline Borges Moreira da Rocha1, Cláudia Barros2, Igor Prado Generoso1, Francisco I Bastos3, Maria Amélia Veras1.
Abstract
OBJECTIVE: To examine the HIV care cascade among trans women and travestis in São Paulo - Brazil, the most populous city in South America.Entities:
Mesh:
Substances:
Year: 2020 PMID: 33237173 PMCID: PMC7664846 DOI: 10.11606/s1518-8787.2020054002374
Source DB: PubMed Journal: Rev Saude Publica ISSN: 0034-8910 Impact factor: 2.106
Sociodemographic characteristics of trans women and travestis living in São Paulo, Brazil, 2017 (n = 386)
| Variable | % | 95%CI | |
|---|---|---|---|
| Gender | |||
| Woman | 9.32 | 5.93–14.37 | |
| Trans woman | 39.95 | 32.95–47.73 | |
| Travesti | 50.5 | 42.94–58.03 | |
| Skin color | |||
| White | 30.02 | 23.38–37.61 | |
| Black | 15.91 | 11.43–21.71 | |
| Mixed | 50.55 | 42.99–58.09 | |
| Other (Indigenous/Yellow) | 3.53 | 1.77–6.89 | |
| Education | |||
| More than high school | 12.04 | 7.63–18.47 | |
| High school | 40.41 | 33.17–48.09 | |
| Less than high school | 47.55 | 40.09–55.13 | |
| Income (minimum wage - MW) | |||
| More than three MW | 14.74 | 10.06–21.09 | |
| Between one and three MW | 48.95 | 41.43–56.53 | |
| Less than one MW | 36.31 | 29.52–43.68 | |
| Age | |||
| < 24 | 23.62 | 17.82–30.61 | |
| 25–30 | 32.39 | 25.65–39.95 | |
| 31–40 | 29.05 | 22.61–36.47 | |
| > 40 | 14.94 | 10.47–20.86 | |
| Housing situation | |||
| Stable | 69.61 | 62.56–75.85 | |
| Unstable | 30.39 | 24.15–37.44 | |
| Relationship status | |||
| Single | 62.82 | 55.08–69.95 | |
| Dating | 14.63 | 9.86–21.17 | |
| Married | 21.62 | 15.82–28.82 | |
| Other | 0.93 | 0.29–2.96 | |
| Registered in health care service | |||
| No | 19.51 | 13.87–26.72 | |
| Yes | 80.49 | 73.28–86.13 | |
Weighted proportion using RDS complex sampling procedures.
FigureHIV care cascade among trans women living with HIV in São Paulo, Brazil (n = 148).
Sociodemographic characteristics by HIV diagnosed, antiretroviral (ART) prescription and currently taking ART (row) for trans women in São Paulo, Brazil.
| Variable | HIV diagnosed | p | ART prescription | p | Currently taking ART | p | ||||
|---|---|---|---|---|---|---|---|---|---|---|
| % | 95%CI | % | 95%CI | % | 95%CI | |||||
| Gender | 0.382 | 0.675 | 0.393 | |||||||
| Woman | 59.0 | 20.6–88.9 | 86.1 | 50.3–97.4 | 76.8 | 30.4–96.2 | ||||
| Trans woman | 86.4 | 60.6–96.3 | 72.3 | 47.2–88.5 | 94.5 | 76.4–98.9 | ||||
| 80.6 | 60.9–91.8 | 79.4 | 58.3–91.4 | 89.8 | 76.8–95.9 | |||||
| Skin color | 0.697 | 0.691 | 0.134 | |||||||
| White | 75.8 | 43.5–92.8 | 84.6 | 43.5–97.5 | 94.7 | 79.4–98.8 | ||||
| Black | 89.0 | 63.8–97.4 | 72.3 | 43.6–89.8 | 100 | - | ||||
| Mixed | 81.1 | 62.7–91.7 | 73.5 | 52.9–87.3 | 89.0 | 75.6–95.5 | ||||
| Other (Indigenous/Yellow) | 90.8 | 62.8–98.3 | 100 | - | 56.5 | 11.9–92.5 | ||||
| Education | 0.968 | 0.745 | 0.694 | |||||||
| More than high school | 76.9 | 27.7–96.6 | 69.9 | 20.9–95.3 | 87.5 | 43.4–98.5 | ||||
| High school | 81.3 | 54.5–94.0 | 83.3 | 56.2–95.1 | 94.2 | 79.6–98.6 | ||||
| Less than high school | 81.5 | 63.3–91.9 | 73.5 | 52.8–87.3 | 88.8 | 74.4–95.5 | ||||
| Income (minimum wage - MW) | 0.061 | 0.394 | 0.082 | |||||||
| More than three MW | 50.8 | 21.4–79.8 | 95.8 | 85.4–98.9 | 100 | - | ||||
| Between one and three MW | 82.7 | 58.5–94.3 | 74.7 | 49.2–90.1 | 96.9 | 86.5–99.4 | ||||
| Less than one MW | 89.0 | 69.7–96.6 | 74.7 | 52.7–88.7 | 83.3 | 66.8–92.6 | ||||
| Age | 0.098 | 0.159 | ||||||||
| < 24 | 69.5 | 38.5–89.3 | 75.9 | 48.2–91.5 | 64.6 | 33.4–86.9 | ||||
| 25–30 | 74.3 | 48.3–89.9 | 71.6 | 43.1–89.4 | 93.4 | 75.8–98.8 | ||||
| 31–40 | 89.8 | 74.7–96.3 | 62.1 | 30.9–85.7 | 99.0 | 92.7–99.8 | ||||
| > 40 | 98.5 | 89.3–89.8 | 100 | - | 100 | - | ||||
| Housing situation | 0.871 | 0.760 | 0.260 | |||||||
| Stable | 79.9 | 60.9–91.1 | 74.8 | 53.1–88.7 | 93.8 | 83.4–97.8 | ||||
| Unstable | 81.8 | 58.7–93.5 | 78.8 | 56.4–91.5 | 86.6 | 68.9–94.9 | ||||
| Relationship status | 0.932 | 0.680 | 0.474 | |||||||
| Single | 80.6 | 61.9–91.4 | 80.0 | 62.4–90.7 | 93.8 | 84.4–97.7 | ||||
| Dating | 77.6 | 41.6–94.4 | 80.2 | 33.6–97.0 | 89.9 | 62.2–97.9 | ||||
| Married | 83.6 | 48.6–96.5 | 64.9 | 31.1–88.4 | 82.5 | 49.9–95.7 | ||||
| Other | 100 | - | 84.2 | 32.4–98.3 | 87.5 | 36.1–98.8 | ||||
| Registred in health care service | 0.255 | < 0.001 | ||||||||
| No | 45.1 | 17.5–76.0 | 55.3 | 16.6–88.5 | 43.4 | 13.8–78.5 | ||||
| Yes | 88.2 | 75.2–94.8 | 78.9 | 63.3–89.0 | 94.3 | 85.9–97.8 | ||||
Weighted proportion using RDS complex sampling procedures. Bolded values: Statistically significance.
Univariate and multivariate analysis for having antiretroviral (ART) prescription and ART uptake among trans women in São Paulo, Brazil, 2017.
| Variable | Have ART prescription | Currently take ART | |||||||
|---|---|---|---|---|---|---|---|---|---|
| PRR | 95%CI | aPRR | 95%CI | PRR | 95%CI | aPRR | 95%CI | ||
| Gender | |||||||||
| Woman | Reference | - | Reference | - | Reference | - | Reference | - | |
| Trans woman | 0.84 | 0.56–1.24 | 1.23 | 0.76–1.98 | 1.16 | 0.90–1.49 | |||
| Travesti | 0.92 | 0.66–1.27 | 0.64 | 0.37–1.11 | 1.16 | 0.72–1.88 | 1.15 | 0.90–1.47 | |
| Skin color | |||||||||
| White | Reference | - | Reference | - | Reference | - | Reference | - | |
| Black | 0.85 | 0.54–1.34 | 0.73 | 0.51–1.05 | 1.05 | 0.97–1.14 | 0.99 | 0.86–1.14 | |
| Mixed | 0.86 | 0.59–1.27 | 0.89 | 0.68–1.15 | 0.93 | 0.82–1.07 | 0.97 | 0.85–1.11 | |
| Other (Indigenous/ Yellow) | 1.18 | 0.87–1.59 | 1.50 | 0.91–2.45 | 0.59 | 0.22–1.59 | 0.98 | 0.51–1.87 | |
| Education | |||||||||
| More than High School | Reference | - | Reference | - | Reference | - | Reference | - | |
| High School | 1.19 | 0.59–2.37 | 1.00 | 0.66–1.54 | 1.07 | 0.80–1.43 | 1.12 | 0.86–1.47 | |
| Less than High School | 1.05 | 0.52–2.10 | 0.79 | 0.51–1.24 | 1.01 | 0.75–1.36 | 1.02 | 0.75–1.39 | |
| Income (minimum wage - MW) | |||||||||
| More than three MW | Reference | - | Reference | - | Reference | - | Reference | - | |
| Between one and three MW | 0.78 | 0.58–1.04 | 0.78 | 0.58–1.04 | 0.96 | 0.92–1.01 | 0.96 | 0.81–1.14 | |
| Less than one MW | 0.77 | 0.60–1.00 | 0.66 | 0.43–1.03 | |||||
| Age | |||||||||
| < 24 | Reference | - | Reference | - | Reference | - | Reference | - | |
| 25–30 | 0.94 | 0.60–1.47 | 0.96 | 0.62–1.48 | 1.44 | 0.90–2.30 | 1.34 | 0.92–1.94 | |
| 31–40 | 0.81 | 0.46–1.44 | 0.81 | 0.48–1.37 | 1.53 | 0.96–2.42 | |||
| > 40 | 1.31 | 0.98–1.76 | 1.54 | 0.97–2.44 | |||||
| Housing situation | |||||||||
| Stable | Reference | - | Reference | - | Reference | - | Reference | - | |
| Unstable | 1.05 | 0.76 −1.46 | 1.17 | 0.82–1.66 | 0.92 | 0.78–1.08 | 1.03 | 0.91–1.17 | |
| Relationship status | |||||||||
| Single | Reference | - | Reference | - | Reference | - | Reference | - | |
| Dating | 1.00 | 0.64–1.56 | 1.11 | 0.64–1.93 | 0.95 | 0.79–1.14 | 1.05 | 0.82–1.35 | |
| Married | 0.81 | 0.47–1.37 | 0.96 | 0.67–1.38 | 0.87 | 0.66–1.16 | 0.85 | 0.70–1.03 | |
| Other | 1.05 | 0.69–1.59 | 1.22 | 0.62–2.40 | 0.93 | 0.67–1.28 | 0.82 | 0.57–1.16 | |
| Registred in health care service | |||||||||
| No | Reference | - | Reference | - | Reference | - | Reference | - | |
| Yes | 1.42 | 0.62–3.27 | 1.63 | 0.83–3.17 | 2.17 | 0.89–5.28 | |||
Bolded values: Statistically significance.