This study examined correlates of new HIV diagnosis (i.e., no prior awareness of HIV-positive status and HIV diagnosis at study entry) and identified factors associated with HIV vulnerability among Brazilian young trans women.
Material and methodsBaseline assessment of Brilhar e Transcender (BeT [“Shine and Transcend” in English]), an HIV status-neutral intervention single-center study using peer-led digital and in-person systems navigation, between February‒July 2022, in Rio de Janeiro, Brazil. Trans women aged 18‒24 years, living in Rio de Janeiro city or the metropolitan area, were eligible if they were not currently on HIV Pre-Exposure Prophylaxis (PrEP) for those who were HIV-negative, or if they were not on antiretroviral therapy, had a detectable viral load, or were not linked to HIV care for those living with HIV.
ResultsAmong 170 potential participants, 164 young trans women were eligible and enrolled. Among these, 13% (n = 22) were living with HIV, 68% of them (n = 15) were unaware of their HIV status and diagnosed with HIV; 33% (n = 4 of 12) had a recent HIV infection. Overall, 23.1% had current syphilis, 15% rectal chlamydia, and 13% rectal gonorrhea. Younger age (18‒19 years) (adjusted Odds Ratio [aOR=5.62], 95% Confidence Interval [95% CI 1.36‒27.22]), lower educational attainment (aOR = 7.99, 95% CI 1.78‒47.85), and moderate/high risk of crack/cocaine use (aOR = 8.6, 95% CI 1.44‒54.91) were associated with a higher odds of a new HIV diagnosis.
ConclusionsHIV disparities among young trans women in Brazil reflect persistent structural and social inequities shaping vulnerability and access. Tailored interventions must extend prevention efforts beyond individual behaviors to address these broader determinants.
Trans women face extraordinary risk for HIV, with prevalence reaching levels as high as 49.6%.1 A critical public health challenge is how to prevent new infections among adult and young trans women. Longitudinal research measuring the HIV incidence of trans women in the U.S found young age was a predictor, suggesting that current efforts are insufficient to eradicate HIV in the next generation of young trans women.2 Increasing attacks on transgender populations, particularly regarding access to gender-affirming care and HIV prevention, risk worsening existing health disparities as health access and prioritization is affected.3
Since 2000, Latin America has made important gains in expanding access to HIV prevention and treatment. Brazil is the largest country in the region and offers effective HIV prevention and care at no direct cost to users through its National Public Health System (SUS). Despite advancements, the region has seen limited progress in reducing new HIV acquisitions.4 From 2010 to 2023, the number of new HIV infections in Brazil increased by 9%. Persistent challenges in reducing new HIV acquisitions in key populations like young sexual and gender minority communities, including trans women, are part of why new infections are on the rise.4 Prior research conducted in Rio de Janeiro, Brazil found that one-third-of trans women were living with HIV, and 25% of young trans women were already living with HIV by age 24.5 Although oral Pre-Exposure Prophylaxis (PrEP) has been available in the country since 2017, only 4.5% of those currently using it are transgender people, predominantly those aged 30-years or older.6 Low PrEP utilization and poor outcomes along the PrEP continuum in Brazil7,8 highlight the urgent need to identify factors associated with new HIV infections among young trans women.
Discrimination and violence are key drivers of mental health disorders and sexual risk behaviors among trans women,5,9 contributing to HIV vulnerability through syndemic conditions such as depression, substance use, and social marginalization.10,11 Research in the US has found that experiences of bullying, trauma, mental distress and parental rejection are correlated with engagement in sexual risk behaviors and HIV status among trans youth.12 However, few studies have been conducted in Latin America with young trans women to explore their elevated vulnerability to HIV and determine factors most closely associated with risk for acquiring HIV.
In this study, we examined the correlates of new HIV diagnosis and identified factors associated with vulnerability to HIV among young trans women aged 18‒24 years in Rio de Janeiro, Brazil. The goal of this analysis was to uncover factors to target interventions tailored to young trans women to curb the ever-growing epidemic in the population and region.
Material and methodsStudy design and participantsWe analyzed data from the baseline assessment of Brilhar e Transcender (BeT [“Shine and Transcend” in English]) study, an adapted evidence-based, HIV status-neutral intervention study using peer-led digital and in-person systems navigation, conducted in the Instituto Nacional de Infectologia Evandro Chagas ‒ Fiocruz (INI-Fiocruz), in Rio de Janeiro, Brazil, between February‒July 2022. Study procedures have been described elsewhere.13 The study was part of eight sponsored research projects chosen to be a part of a Eunice Kennedy Shriver National Institute of Child Health and Human Development ‒ funded Prevention and Treatment through a Comprehensive Care Continuum for HIV-affected Adolescents in Resource Constrained Settings (PATC3H) consortium. This trial was registered at ClinicalTrials.gov NCT05299645; https://clinicaltrials.gov/ct2/show/NCT05299645.
Our site at INI-Fiocruz is a referral center that provides comprehensive, gender-affirming, and stigma-sensitive care for transgender individuals within a multidisciplinary HIV framework. Participants were recruited from those receiving HIV care or prevention at our clinical site or were referred by our Community Education Team, partners from non-governmental organizations and other health units. Eligibility criteria were: 1) Male sex assigned at birth and self-identification as travesti, transgender woman, or within the trans feminine spectrum, 2) Ages between 18- and 24-years, 3) Living in Rio de Janeiro city or its metropolitan area, and 4) Sexually active. Throughout this manuscript, we use the term “trans women” to refer to participants of all gender identities included in the study. Additional criteria for young trans women not living with HIV were 1) No current PrEP use, 2) PrEP indication according to the Brazilian recommendations at the time of the study, and 3) No PrEP contraindication. For participants living with HIV, additional inclusion criteria were 1) Confirmed HIV diagnosis, 2) No current Antiretroviral Therapy (ART) use or a detectable Viral Load (VL) or not linked to HIV care. Exclusion criteria were: 1) Participation in any HIV prevention or care intervention study in the last year, 2) Refusal to undergo HIV testing, or 3) Having any health condition that, in the opinion of the investigator, precludes participation in the study or may lead to harm to the participant. After eligibility assessment, participants were enrolled and followed for 48-weeks.
ProceduresAt study entry, participants responded to trained interviewer-administered surveys, including a screening questionnaire and demographic information after providing written consent. Participants were tested for HIV, syphilis, rectal Chlamydia Trachomatis (CT), and rectal Neisseria Gonorrhea (NG). Participants reporting recent anal condomless sex (<30-days) with a negative HIV rapid test were screened for acute HIV infection through VL testing. Recent HIV acquisitions were identified using the Maxim HIV-1 Lag-Avidity EIA assay as part of Recent Infection Testing Algorithm (RITA), following previous studies.14–16 Syphilis screening was conducted using treponemal testing, followed by Venereal Disease Laboratory Testing (VDRL) if the former test yielded a positive result. Hepatitis B and C were first screened using rapid tests followed by serology assessments, if needed.
Study outcomes and definitionsData were analyzed by grouping participants into three categories: HIV-negative, with a known HIV diagnosis, and with a new HIV diagnosis (i.e., participants who were previously unaware of their HIV status and received an HIV diagnosis at study entry). We collected information on education as a continuous variable and categorized educational attainment into: “up to 8-years” (incomplete elementary school), “9‒11 years” (incomplete secondary school), and “12-years or more” (complete secondary school or more). Unstable housing was defined as living in a shelter or institution, transitional housing, as a guest in someone else's home, at a workplace, in a motel/hotel/inn, or other temporary arrangements. Food insecurity was assessed using an adapted version of the Food and Agriculture Organization of the United Nations questions.17 Ever syphilis was defined as a positive treponemal test at study entry. Current syphilis was defined as a positive treponemal test with a reactive VDRL, subsequently confirmed as active syphilis by clinical adjudication performed by a study physician. We assessed crack/cocaine use through the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) scale and classified into ‘low risk’ and ‘moderate/high risk’ use.18 HIV knowledge was assessed using an adapted HIV Knowledge Questionnaire-10 with 8-items.19,20 We used the Alcohol Use Disorders Identification Test for alcohol consumption (3-items) to assess alcohol use.21 Substance use was defined as use of any illicit substance as marijuana, cocaine (powder, crack, or paste), ecstasy, LSD, MDMA, methamphetamine, ketamine, poppers or other inhalants. Social support was assessed using Multidimensional Scale of Perceived Social Support, and evaluated overall, from friends, from family, and from partner.22 We screened the following mental health issues: 1) Posttraumatic Stress Disorder (PTSD) using the Primary Care PTSD scale (positive screening: score ≥ 4),23 2) Depression and anxiety using the Patient Health Questionnaire for Depression and Anxiety scale (positive screening: positive if scores ≥ 3).24 Participants were considered with HIV recent acquisition if the final LAg ODn of the avidity assay was ≤ 1.5, VL > 400 copies/mL, CD4 count >200 cells/mm3, and absence or no history of an AIDS-defining illness, all according to data obtained from Brazilian national information systems.
Statistical analysisDescriptive statistics included median with Interquartile Ranges (IQRs), and absolute and relative frequencies, overall and according to HIV status. Univariable and multivariable logistic regression models were used to assess factors associated with new HIV diagnosis, using HIV-negative participants as the reference group. All variables with p-value <0.25 in the univariable analysis were included in the initial multivariable model, adjusted for race, transactional sex, fillers, and binge drinking. Model fit was assessed using the Hosmer-Lemeshow test, and residual normality was evaluated with the Shapiro-Wilk test. The final model was selected based on overall fit quality. All analyses were performed on the R project version 4.2.3.
Ethical considerationsThis study was approved by the Institutional Review Board at the INI-Fiocruz; CAAE #05018818.0.0000.5262) and the University of California, San Francisco Committee on Human Research (#18-26770) in accordance with all applicable regulations. All participants provided written informed consent prior to any study procedure.
ResultsAmong 170 potential participants, 164 young trans women were eligible and enrolled in the study, and six were ineligible. Among those enrolled, 13% (n = 22) were living with HIV. Among these, 68% (n = 15) were unaware of their HIV status and were diagnosed with HIV at enrollment. We evaluated HIV recency in 12 out of the 15 participants with new HIV diagnosis (3 had no sample available); 33% of them (n = 4 of 12) had a recent HIV acquisition. Overall, median age was 21-years (interquartile range: 19‒22), most participants identified as Black (38%) or Pardo/mixed (26%), and 59% reported food insecurity (Table 1). Median age of identifying a gender different than assigned at birth was 13-years, while the median age of gender transition was 18-years. A large majority of participants had used Gender-Affirming Hormone Therapy (GAHT) at some point (85%), with most using non-prescribed hormones (92%). While none had undergone gender-affirming bottom surgery, 38% expressed a desire to have it in the future. A small percentage (9.8%) reported using industrial fillers (Table 2).
Sociodemographics, sexual behavior, and HIV knowledge among young trans women in BeT study, Rio de Janeiro, Brazil, 2022.
| Total(n = 164) | HIV new diagnosis,n = 15 (9.1%) | HIV negative,n = 142 (86.6%) | HIV known diagnosis,n = 7 (4.3%) | |
|---|---|---|---|---|
| Age, years (median [IQR]) | 21 (19; 23) | 21 (19; 22) | 21 (20; 23) | 23 (21; 24) |
| Age category, years (%) | ||||
| 18‒19 | 43 (26.2%) | 6 (40.0%) | 35 (24.6%) | 2 (28.6%) |
| 20‒22 | 74 (45.1%) | 6 (40.0%) | 68 (47.9%) | 0 (0.0%) |
| 23‒24 | 47 (28.7%) | 3 (20.0%) | 39 (27.5%) | 5 (71.4%) |
| Gender identity | ||||
| Travesti | 34 (20.7%) | 0 (0.0%) | 33 (23.2%) | 1 (14.3%) |
| Transgender women | 123 (75.0%) | 15 (100.0%) | 104 (73.2%) | 4 (57.1%) |
| Women | 4 (2.4%) | 0 (0.0%) | 2 (1.4%) | 2 (28.6%) |
| Other identities | 3 (1.8%) | 0 (0.0%) | 3 (2.1%) | 0 (0.0%) |
| Race | ||||
| Black | 63 (38.7%) | 6 (40.0%) | 57 (40.1%) | 0 (0.0%) |
| Pardo/Mixed | 42 (25.8%) | 4 (26.7%) | 35 (24.6%) | 3 (42.9%) |
| White | 55 (33.7%) | 5 (33.3%) | 46 (32.4%) | 4 (57.1%) |
| Indigenous | 1 (0.6%) | 0 (0.0%) | 1 (0.7%) | 0 (0.0%) |
| Asian | 2 (1.2%) | 0 (0.0%) | 2 (1.4%) | 0 (0.0%) |
| Missing | 1 | 0 | 1 | 0 |
| City | ||||
| Rio de Janeiro | 121 (73.8%) | 8 (53.3%) | 109 (76.8%) | 4 (57.1%) |
| Other | 43 (26.2%) | 7 (46.7%) | 33 (23.2%) | 3 (42.9%) |
| Schooling (complete years) | ||||
| Up to 8-years | 18 (11.0%) | 5 (33.3%) | 11 (7.7%) | 2 (28.6%) |
| 9‒11 years | 37 (22.7%) | 4 (26.7%) | 31 (21.8%) | 2 (28.6%) |
| 12+ years | 108 (66.3%) | 6 (40.0%) | 99 (69.7%) | 3 (42.9%) |
| Missing | 1 | 0 | 1 | 0 |
| Currently studying | 61 (37.2%) | 3 (20.0%) | 57 (40.1%) | 1 (14.3%) |
| Currently working | 66 (40.2%) | 7 (46.7%) | 56 (39.4%) | 3 (42.9%) |
| Living with:a | ||||
| Alone | 42 (25.6%) | 3 (20.0%) | 36 (25.4%) | 3 (42.9%) |
| Parents | 68 (41.5%) | 7 (46.7%) | 60 (42.3%) | 1 (14.3%) |
| Family | 29 (17.7%) | 4 (26.7%) | 25 (17.6%) | 0 (0.0%) |
| Partner | 9 (5.5%) | 1 (6.7%) | 8 (5.6%) | 0 (0.0%) |
| Friends | 15 (9.1%) | 0 (0.0%) | 14 (9.9%) | 1 (14.3%) |
| Other | 8 (4.9%) | 1 (6.7%) | 5 (3.5%) | 2 (28.6%) |
| Housing | ||||
| Stable | 148 (90.2%) | 15 (100.0%) | 129 (90.81%) | 4 (57.1%) |
| Unstable | 16 (9.8%) | 0 (0.0%) | 13 (9.2%) | 3 (42.9%) |
| Concern with housing situationb | ||||
| Yes | 45 (27.4%) | 4 (26.7%) | 38 (26.8%) | 3 (42.9%) |
| No | 119 (72.6%) | 11 (73.3%) | 104 (73.2%) | 4 (57.1%) |
| Food insecurityc | ||||
| Yes | 97 (59.1%) | 7 (46.7%) | 87 (61.3%) | 3 (42.9%) |
| No | 67 (40.9%) | 8 (53.3%) | 55 (38.7%) | 4 (57.1%) |
IQR, Interquartile Range, TGW, Trans Women.
Gender transition characteristics among young trans women in BeT study in Rio de Janeiro, Brazil, 2022.
| Total(n = 164) | HIV new diagnosisn = 15 (9.1%) | HIV negative,n = 142 (86.6%) | HIV known diagnosis,n = 7 (4.3%) | |
|---|---|---|---|---|
| Age of identifying with gender different from that assigned at birth (median [IQR]) | 13 (10‒16) | 11 (10‒15) | 14 (10‒16) | 12 (8‒14) |
| Age of gender transition (median [IQR]) | 18 (15‒19) | 17 (15‒19) | 18 (15‒19) | 16 (15‒18) |
| Ever GAHT use | 139 (84.8%) | 13 (86.7%) | 120 (84.5%) | 6 (85.7%) |
| Non-prescribed hormone usea | 129 (92.8%) | 13 (100.0%) | 110 (91.7%) | 6 (100.0%) |
| Current GAHT usea | 95 (68.3%) | 9 (69.2%) | 85 (70.8%) | 1 (16.7%) |
| Gender-affirming bottom surgery | ||||
| Already performed it | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) |
| Want to perform it | 63 (38.4%) | 5 (33.3%) | 56 (39.4%) | 2 (28.6%) |
| Don’t want to perform it | 97 (59.1%) | 10 (66.7%) | 82 (57.7%) | 5 (71.4%) |
| Refused to answer | 4 (2.4%) | 0 (0.0%) | 4 (2.8%) | 0 (0.0%) |
| Industrial filler | 16 (9.8%) | 3 (20.0%) | 10 (7.0%) | 3 (42.9%) |
Prevalence of bacterial Sexually Transmitted Infections (bSTI) was high, with 23.1% presenting current active syphilis, 15% with rectal CT, and 13% with rectal NG (Table 3). No participant tested positive for hepatitis B (n = 0/163) or C (n = 0/160). A total of 70% engaged in condomless receptive anal sex in the last 6-months, and 49% ever engaged in transactional sex. Binge drinking and moderate/high risk of crack/cocaine use were reported by 74% and 9.1%, respectively. The majority of participants reported experiencing discrimination due to their gender identity (99%), with 83% having experienced verbal violence. A significant proportion screened positive for anxiety (44%), depression (32%), and PTSD (17%), and 59% reported ever attempting suicide. Furthermore, 44% reported avoiding healthcare assistance due to fear of discrimination and 32% were unaware of the meaning of ‘U = U’ (Undetectable = Untransmittable).
Health, STI, and behavior characteristics among young trans women in BeT study in Rio de Janeiro, Brazil, 2022.
| Total(n = 164) | HIV new diagnosis,n = 15 (9%) | HIV negative,n = 142 (87%) | HIV known diagnosis,n = 7 (4%) | |
|---|---|---|---|---|
| Overall health rating | ||||
| Excellent | 10 (6.1%) | 2 (13.3%) | 8 (5.6%) | 0 (0.0%) |
| Very good | 19 (11.6%) | 2 (13.3%) | 16 (11.3%) | 1 (14.3%) |
| Good | 80 (48.8%) | 7 (46.7%) | 70 (49.3%) | 3 (42.9%) |
| Reasonable | 47 (28.7%) | 3 (20.0%) | 43 (30.3%) | 1 (14.3%) |
| Bad | 5 (3.0%) | 0 (0.0%) | 4 (2.8%) | 1 (14.3%) |
| Don’t know | 3 (1.8%) | 1 (6.7%) | 1 (0.7%) | 1 (14.3%) |
| Has private health insurance | ||||
| Yes | 19 (11.6%) | 2 (13.3%) | 16 (11.3%) | 1 (14.3%) |
| No | 145 (88.4%) | 13 (86.7%) | 126 (88.7%) | 6 (85.7%) |
| Ever tested for HIV | ||||
| Yes | 117 (78.5%) | 6 (85.7%) | 110 (78.0%) | 1 (100.0%) |
| No | 30 (20.1%) | 1 (14.3%) | 29 (20.6%) | 0 (0.0%) |
| Don't know | 2 (1.3%) | 0 (0.0%) | 2 (1.4%) | 0 (0.0%) |
| Missinga | 15 | 8 | 1 | 6 |
| Ever syphilis | 61 (37.7%) | 10 (66.7%) | 45 (32.1%) | 6 (85.7%) |
| Missinga | 2 | 0 | 2 | 0 |
| Current active syphilis | 37 (23.1%) | 5 (33.3%) | 27 (19.6%) | 5 (71.4%) |
| Missinga | 4 | 0 | 4 | 0 |
| Rectal chlamydia | 24 (15.0%) | 3 (20.0%) | 21 (15.2%) | 0 (0.0%) |
| Missinga | 4 | 0 | 4 | 0 |
| Rectal gonorrhea | 21 (13.1%) | 3 (20.0%) | 18 (13.0%) | 0 (0.0%) |
| Missinga | 4 | 0 | 4 | 0 |
| Known number of sex partners in the last 3-months | ||||
| Yes | 128 (78.0%) | 9 (60.0%) | 115 (81.0%) | 4 (57.1%) |
| No | 21 (12.8%) | 5 (33.3%) | 14 (9.9%) | 2 (28.6%) |
| Number of partners (median [IQR])b | 3 (1‒5) | 5 (3‒5) | 3 (1‒5) | 1 (1‒4) |
| HIV knowledge scalec | ||||
| High | 121 (73.8%) | 8 (53.3%) | 109 (76.8%) | 4 (57.1%) |
| Low | 43 (26.2%) | 7 (46.7%) | 33 (23.2%) | 3 (42.9%) |
| Had condomless receptive anal sex in the last 6-months | 115 (70.1%) | 12 (80.0%) | 98 (69.0%) | 5 (71.4%) |
| Transactional sex | ||||
| In the last 3-months | 57 (34.8%) | 8 (53.3%) | 45 (31.7%) | 4 (57.1%) |
| Prior to 3-months | 24 (14.6%) | 2 (13.3%) | 20 (14.1%) | 2 (28.6%) |
| Never | 83 (50.6%) | 5 (33.3%) | 77 (54.2%) | 1 (14.3%) |
| Binge drinking | 121 (73.8%) | 13 (86.7%) | 103 (72.5%) | 5 (71.4%) |
| Moderate/high risk of crack/cocaine use* | 15 (9.1%) | 4 (26.7%) | 9 (6.3%) | 2 (28.6%) |
IQR, Interquartile Range; TGW, Trans Women.
Compared to young trans women not living with HIV, those with a new HIV diagnosis were younger (40%vs. 25% aged 18- to 19-years). They also more frequently lived outside the main metropolitan area of Rio de Janeiro (47%vs. 23%) and had an incomplete elementary school education (33%vs. 7.8%) (Table 1). Less utilization of GAHT was observed among young trans women with a new HIV diagnosis (17%vs. 69%) and a higher proportion of industrial fillers’ use (43%vs. 20%) (Table 2). In addition, participants with a new HIV diagnosis more often reported transactional sex (66%vs. 46%), an unknown number of sexual partners (40%vs. 19%), and had lower HIV knowledge (47%vs. 23%) compared to those not living with HIV (Table 3). Regarding the ‘U = U’ message, a higher proportion of young trans women with a new HIV diagnosis were unaware of its meaning compared to those without HIV (67%vs. 30%) (Table 4). Multivariable analysis identified that individuals aged 18‒19 years (adjusted Odds Ratio [aOR=5.62], 95% Confidence Interval [95% CI 1.36‒27.22]), with lower educational attainment (aOR=7.99, 95% CI 1.78‒47.85), and those who reported moderate/high risk of crack/cocaine use (aOR=8.6, 95% CI 1.44‒54.91) had a higher odds of a new HIV diagnosis (Table 5).
Knowledge, stigma, and mental health characteristics among young trans women in BeT study in Rio de Janeiro, Brazil, 2022.
| Total(n = 164) | HIV new diagnosis, n = 15 (9%) | HIV negative, n = 142 (87%) | HIV known diagnosis, n = 7 (4%) | |
|---|---|---|---|---|
| Ever disclosed gender identity | 155 (94.5%) | 15 (100.0%) | 133 (93.7%) | 7 (100.0%) |
| Social support | ||||
| Friends | ||||
| High | 97 (59.1%) | 6 (40.0%) | 86 (60.6%) | 5 (71.4%) |
| Medium | 48 (29.3%) | 7 (46.7%) | 39 (27.5%) | 2 (28.6%) |
| Low | 19 (11.6%) | 2 (13.3%) | 17 (12.0%) | 0 (0.0%) |
| Partner | ||||
| High | 110 (67.1%) | 10 (66.7%) | 94 (66.2%) | 6 (85.7%) |
| Medium | 44 (26.8%) | 5 (33.3%) | 38 (26.8%) | 1 (14.3%) |
| Low | 10 (6.1%) | 0 (0.0%) | 10 (7.0%) | 0 (0.0%) |
| Family | ||||
| High | 60 (36.6%) | 6 (40.0%) | 50 (35.2%) | 4 (57.1%) |
| Medium | 64 (39.0%) | 5 (33.3%) | 58 (40.8%) | 1 (14.3%) |
| Low | 40 (24.4%) | 4 (26.7%) | 34 (23.9%) | 2 (28.6%) |
| U = U knowledge | ||||
| Don’t know what it means | 53 (32.3%) | 10 (66.7%) | 43 (30.3%) | 0 (0.0%) |
| Totally correct | 67 (40.9%) | 4 (26.7%) | 60 (42.3%) | 3 (42.9%) |
| Somewhat correct | 25 (15.2%) | 1 (6.7%) | 21 (14.8%) | 3 (42.9%) |
| Somewhat incorrect | 12 (7.3%) | 0 (0.0%) | 12 (8.5%) | 0 (0.0%) |
| Totally incorrect | 7 (4.3%) | 0 (0.0%) | 6 (4.2%) | 1 (14.3%) |
| Any discrimination due to gender identity | 162 (98.8%) | 15 (100.0%) | 140 (98.6%) | 7 (100.0%) |
| Ever physical violence due to gender identity | 61 (37.2%) | 6 (40.0%) | 52 (36.6%) | 3 (42.9%) |
| Ever verbal violence due to gender identity | 136 (82.9%) | 14 (93.3%) | 117 (82.4%) | 5 (71.4%) |
| Avoided healthcare because of fear of being discriminated | 72 (43.9%) | 8 (53.3%) | 63 (44.4%) | 1 (14.3%) |
| Health professionals refused to assist due to gender identity | 12 (7.3%) | 2 (13.3%) | 10 (7.0%) | 0 (0.0%) |
| Treated badly/unfairly by healthcare professionals due to gender identity | 30 (18.3%) | 1 (6.7%) | 27 (19.0%) | 2 (28.6%) |
| Healthcare professionals refused to discuss about issues of trans health | 34 (20.7%) | 1 (6.7%) | 31 (21.8%) | 2 (28.6%) |
| Positive depression screening | 52 (32.1%) | 5 (33.3%) | 46 (32.9%) | 1 (14.3%) |
| Missinga | 2 | 0 | 2 | 0 |
| Positive anxiety screening | 69 (43.7%) | 6 (40.0%) | 62 (45.3%) | 1 (16.7%) |
| Missinga | 6 | 0 | 5 | 1 |
| Positive PTSD screening | 28 (17.1%) | 1 (6.7%) | 25 (17.6%) | 2 (28.6%) |
| Ever sexual violence | 58 (36.9%) | 5 (33.3%) | 49 (36.3%) | 4 (57.1%) |
| Missinga | 7 | 0 | 7 | 0 |
| Ever sexual violence from partner | 35 (22.0%) | 3 (20.0%) | 32 (23.4%) | 0 (0.0%) |
| Missinga | 5 | 0 | 5 | 0 |
| Ever worried about safety from partner | 70 (42.9%) | 4 (26.7%) | 65 (46.1%) | 1 (14.3%) |
| Missing | 1 | 0 | 1 | 0 |
| Ever suicide attempt | ||||
| In the last 30-days | 35 (21.3%) | 3 (20.0%) | 31 (21.8%) | 1 (14.3%) |
| Prior to 30-days | 63 (38.4%) | 5 (33.3%) | 56 (39.4%) | 2 (28.6%) |
| Never | 64 (39.0%) | 7 (46.7%) | 53 (37.3%) | 4 (57.1%) |
| Refused to answer | 2 (1.2%) | 0 (0.0%) | 2 (1.4%) | 0 (0.0%) |
IQR, Interquartile Range; PTSD, Post-Traumatic Stress Disorder.
Multivariable model of factors associated with a new HIV diagnosis among young trans women in BeT study, Rio de Janeiro, Brazil, 2022.
| Variablesa | aOR | 95%CI | p-value |
|---|---|---|---|
| Age 18‒19 years (ref. 20‒24 years) | 5.62 | 1.36‒27.22 | 0.021 |
| Race: Black/Mixed/Otherc (ref. white) | 0.47 | 0.11‒1.9 | 0.276 |
| Schooling ≤ 8-years (ref. 12+ years) | 7.99 | 1.78‒47.85 | 0.017 |
| Schooling 9‒11 years (ref. 12+ years) | 1.60 | 0.33‒7.18 | 0.543 |
| Moderate/high risk of crack/cocaine useb (ref. low risk) | 8.60 | 1.44‒54.91 | 0.018 |
| Low HIV knowledge (ref. high) | 3.02 | 0.83‒11.52 | 0.094 |
| Ever transactional sex: yes (ref. no) | 1.05 | 0.25‒4.35 | 0.945 |
| Use of industrial fillers: yes (ref. no) | 3.40 | 0.56‒18.45 | 0.158 |
| Binge drinking: yes (ref. no) | 3.34 | 0.70‒25.55 | 0.172 |
aOR, Adjusted Odds Ratio; CI, Confidence Interval.
Measured by the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST); score range: 0‒12, moderate/high risk > 2.
Includes Indigenous and Asian. Residual analysis tested by Hosmer-Lemeshow (p = 0.101) (Suppl. Fig. 1).
More than half of young trans women living with HIV in our study were unaware of their status. Furthermore, many recently acquired HIV, suggesting ongoing incident cases that are often underestimated by prevalence studies alone.25 Young trans women also had a high burden of bSTIs. Characteristics of participants with a new HIV diagnosis were younger age, residence outside Rio de Janeiro’s metropolitan core, and the presence of intersecting vulnerabilities, including industrial filler use, engagement in sex work, and low educational attainment. The multivariable models identified educational attainment and moderate/high crack/cocaine use risk as key predictors of new HIV diagnoses, with those aged 18‒19 years old exhibiting the highest risk of a new HIV infection.
To our knowledge, this is the first study of new HIV infections among young trans women in a low- and middle-income country. Brazil is the largest country in South America, which is one of few regions globally with a rising HIV epidemic, where the highest burden falls on youth. This study points to significant unmet HIV prevention need for young trans women in Brazil. Despite high rates of prior HIV testing, many remained unaware of their status and/or not engaged in HIV prevention and care. Post-test counseling and referrals may be ineffective at linking young trans women to HIV prevention and treatment. Younger age, crack/cocaine use, and lower educational attainment were key predictors of new HIV diagnosis. These factors reflect a syndemic interplay of substance use, economic instability, and structural barriers to education, all of which exacerbate HIV vulnerability among young trans women.11,26,27 Systemic barriers, including stigma, transphobia, inadequate provider training, and limited access to gender-affirming care may further hinder engagement with HIV prevention and treatment services for young trans women.28
The association between less education and new HIV diagnoses align with broader evidence linking educational disparities to HIV vulnerability among trans populations. Other Brazilian studies have found a high percentage of low educational attainment among trans women and an association with high HIV prevalence.5,29 Low education has also been associated with low PrEP adherence in the PrEParadas study, which was a Brazilian trans-specific PrEP demonstration project.30 Lower educational attainment reduces job opportunities, creating economic insecurity and reliance on informal economies such as sex work, which was prevalent among those with a new HIV diagnosis in our sample. A large Brazilian cohort study of 22.7 million low-income individuals analyzed over 9-years (2007‒2015) found that conditional cash transfers (Bolsa Família) significantly reduced AIDS-related morbidity and mortality in highly vulnerable populations.31 In addition, among adult men who have sex with men and trans and non-binary persons living in Brazil enrolled in a cross-sectional online study advertised on dating apps and social media from May to September 2021, there was a direct link between food insecurity and non-adherence to PrEP and ART use.32
Brazil has a Universal Health System (SUS) that provides free and comprehensive healthcare to all people living in the country. SUS has played a crucial role in the HIV response by ensuring widespread access to HIV testing, prevention, and treatment, including universal access to ART and PrEP.33 Yet, many people from sexual and gender minorities face significant barriers to healthcare, including discrimination, stigma, lack of culturally competent care, and fear of mistreatment, all of which ultimately impact their health and well-being.34–36 Geographic disparities were also present in our data as many young trans women lived far from centers of affirming healthcare, reducing access to HIV prevention and care.11,37 In our sample, nearly 10% of participants with a new HIV diagnosis reported industrial filler use, a marker of engagement with unregulated cosmetic providers, a practice that is usually linked to social, medical, and economic constraints, including lack of access to transitioning procedures and healthcare avoidance.38,39 Basic HIV and sexual health education is needed among young trans women to improve their HIV knowledge and potentially reduce their sexual risk behaviors.
This study has some limitations. Due to the cross-sectional design, we cannot infer causality and temporality. The sample size also limits statistical power and the precision of estimates, particularly for subgroup analysis, and may reduce generalizability. In addition, no formal correction for multiple testing was applied, and findings should be interpreted with caution. The study was intentionally designed to enroll young trans women not yet engaged in HIV prevention or care, which may further limit generalizability to other trans populations. Despite these limitations, a key strength of the study is that it was specifically designed to reach a population that is underrepresented in research and for whom data remain scarce in our setting. As such, these findings provide valuable evidence to inform prevention and care strategies for this population.
This study reinforces that HIV disparities among young trans women are rooted in structural inequities that shape individual risk behaviors and limit access to HIV prevention and care. Tailored interventions must address the intersection of social factors and structural needs to effectively reach this population.
Data sharing statementA complete de-identified dataset sufficient to reproduce the primary study findings will be made available upon request to the corresponding author, following approval of a concept sheet summarizing the analyses to be done.
Author's contributionEMJ, VGV, BG, and ECW conceived and designed the BeT study. EMJ, CC, BG, and ECW conceived and supervised the current analysis and manuscript preparation. EMJ, CC, and ECW reviewed the literature, interpreted the findings, and drafted the manuscript. CRVC and IBM were responsible for the study coordination and data acquisition. TW, CA, and LM provided important intellectual content to the study design and data interpretation. CS, NB and CC had access to raw data and verified the data. CS and NB did the statistical analyses. SLMT did the recency experiments. SLMT, RIM, SWC and BH were involved in revising the manuscript for important intellectual content. All authors read and approved the final manuscript. EMJ, CC, BG, and ECW had final responsibility for the decision to submit for publication.
FundingThis work was supported by the National Institute of Child Health and Human Development and the National Institutes of Health as the Prevention and Treatment through a Comprehensive Care Continuum for HIV-affected Adolescents in Resource Constrained Settings sponsor (grants UG3HD096914 and UH3HD096914). The sponsor had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication. BG was financed in part by CNPq (#313265/2023-2) and Carlos Chagas Filho Foundation for Research Support in the State of Rio de Janeiro (FAPERJ #E.26/200.946/2022). TST was financed in part by CNPq (#304417/2025-4 and #405558/2025-2), FAPERJ (#E-26/201.270/2022). EMJ was financed in part by FAPERJ (E-26/210.072/2025) and CNPq (408880/2025-2).
The authors declare no conflicts of interest.
We would like to thank all study participants. The BeT study team: Ana Carolina Figueiredo, Andressa Araujo, Beatriz Grinsztejn, Brenda Hoagland, Camila Mattos Santos, Carolina Ribeiro de Arsolino, Carolina Coutinho, Claudia M. da Silva, Cristina M. Jalil, Cristiane Castro, Daniel Bezerra, Daniel Waite, Eduardo Carvalheira, Eduardo Peixoto, Edilene Bastos, Emilia M. Jalil, Erin C. Wilson, Flavia Lessa, Giovanna Costa, Isabele Barbosa Moura, Jose Roberto Granjeiro, Katia S. M. Derrico, Iasmim Garrido, Laylla Monteiro, Luana Marins, Luiz Ricardo S. Camacho, Marcella Feitosa, Marcos Davi, Mayara Secco, Natalia Ibiapino Proenca, Renata Bastos, Rita de Cassia O. Cockrane, Robson Silva, Ronaldo I. Moreira, Sandra W. Cardoso, Sandro Nazer, Tania Krstic, Thaylla Warggas, Thiago da Silva Torres, Valdilea G. Veloso, Valeria Ribeiro.








