TY - JOUR
T1 - Discrimination based on gender identity against transgender women and travestis in Brazil
T2 - a latent class analysis and associated factors
AU - Magno, Laio
AU - Leite, Beo Oliveira
AU - Sperandei, Sandro
AU - Pereira, Marcos
AU - Knauth, Daniela Riva
AU - Leal, Andréa Fachel
AU - Veras, Maria Amélia de Sousa Mascena
AU - Dourado, Inês
PY - 2024
Y1 - 2024
N2 - Objective: To identify groups of transgender women and travestis (TGW) with specific patterns of gender-based discrimination (GBD) and analyze the factors associated with GBD. Methods: A cross-sectional study was conducted with TGW recruited through respondent-driven sampling in five Brazilian cities (2019-2021). Latent class analysis was used to characterize GBD (low, medium, and high) using 14 observable variables. Descriptive analysis was performed, and associations between predictor variables and GBD were estimated by adjusted odds ratios (aOR) using ordinal logistic regression. Results: Out of a total of 1,317 TGW, 906 (68.8%) answered questions about GBD. Most were under 34 years old, single, and had a Brown race/skin color. GBD was classified as "low," "medium," and "high," with estimates of 41.7, 44.5, and 13.8%, respectively. Variables positively associated with higher intensity of GBD included living in Manaus compared to São Paulo, being ≤34 years old compared to >34, being homeless compared to living in one's own house or rented apartment, not having legally changed one's name compared to those who had, and reporting physical or sexual violence compared to those who did not report. Variables negatively associated with higher intensity of GBD included having a Brown or Asian race/skin color compared to White and a monthly income ≥1 minimum wage compared to ³1. Conclusion: A high proportion of GBD was observed in Brazilian TGW, with this outcome associated with more vulnerable sociodemographic characteristics and a history of violence.
AB - Objective: To identify groups of transgender women and travestis (TGW) with specific patterns of gender-based discrimination (GBD) and analyze the factors associated with GBD. Methods: A cross-sectional study was conducted with TGW recruited through respondent-driven sampling in five Brazilian cities (2019-2021). Latent class analysis was used to characterize GBD (low, medium, and high) using 14 observable variables. Descriptive analysis was performed, and associations between predictor variables and GBD were estimated by adjusted odds ratios (aOR) using ordinal logistic regression. Results: Out of a total of 1,317 TGW, 906 (68.8%) answered questions about GBD. Most were under 34 years old, single, and had a Brown race/skin color. GBD was classified as "low," "medium," and "high," with estimates of 41.7, 44.5, and 13.8%, respectively. Variables positively associated with higher intensity of GBD included living in Manaus compared to São Paulo, being ≤34 years old compared to >34, being homeless compared to living in one's own house or rented apartment, not having legally changed one's name compared to those who had, and reporting physical or sexual violence compared to those who did not report. Variables negatively associated with higher intensity of GBD included having a Brown or Asian race/skin color compared to White and a monthly income ≥1 minimum wage compared to ³1. Conclusion: A high proportion of GBD was observed in Brazilian TGW, with this outcome associated with more vulnerable sociodemographic characteristics and a history of violence.
KW - Brazil
KW - Discrimination
KW - Gender identity
KW - Latent class analysis
KW - Transgender persons
KW - Transgender women
UR - http://www.scopus.com/inward/record.url?scp=85202002256&partnerID=8YFLogxK
U2 - 10.1590/1980-549720240012.supl.1
DO - 10.1590/1980-549720240012.supl.1
M3 - Article
C2 - 39166584
AN - SCOPUS:85202002256
SN - 1415-790X
VL - 27
JO - Revista Brasileira de Epidemiologia
JF - Revista Brasileira de Epidemiologia
M1 - e240012.supl.1
ER -