| Literature DB >> 34095696 |
Christopher J Hernandez1,2, Glenn-Milo Santos2,3, Erin C Wilson2,4.
Abstract
Undocumented immigrant trans Latinas face significant barriers to attaining gender-affirming health care and may use nonprescribed feminizing hormones. Without medical supervision, nonprescribed hormone use may lead to adverse health outcomes. This study aimed to determine if a history of being an undocumented immigrant was associated with nonprescribed hormone use among trans Latinas. We conducted a secondary analysis using baseline data from the 2016 Trans National study done in the San Francisco Bay Area. Two hundred five trans Latinas participated in the study, of whom 75 (37%) reported a history of being undocumented. We fitted a multivariable logistic regression model to determine whether having a history of being an undocumented immigrant was associated with nonprescribed hormone use while controlling for age, income, time living in San Francisco, history of sex work, and history of problems with accessing health care. The prevalence of nonprescribed hormone use was 55.9% among trans Latinas overall; however, for trans Latinas with a history of undocumented immigration status, the prevalence was 68%. There was a significant, independent association between nonprescribed hormone use and undocumented status (adjusted odds ratio [aOR]=3.20; 95% confidence interval [CI]=1.47-6.97). We also found that having a history of sex work was associated with nonprescribed hormone use (aOR=5.72; 95% CI=2.69-12.18). The prevalence of nonprescribed hormone use among trans Latinas was high and is associated with a history of undocumented status and sex work. These associations may indicate health care avoidance related to concerns of being criminalized due to their documentation status or source of income (i.e., sex work) among trans Latinas. These findings underscore the need to reduce barriers in gender-affirming care to increase access to medically supervised hormone use, particularly among individuals with a history of undocumented status and engaged in sex work. © Christopher J. Hernandez et al. 2020; Published by Mary Ann Liebert, Inc.Entities:
Keywords: nonprescribed hormone use; sex-work; trans women; undocumented status
Year: 2020 PMID: 34095696 PMCID: PMC8175253 DOI: 10.1089/heq.2019.0104
Source DB: PubMed Journal: Health Equity ISSN: 2473-1242
Characteristics of Trans Latinas in the Trans National Study, San Francisco, CA; 2016–2017 (N=205)
| Trans-Latina demographics | U.S. born (n=98) | No history of undocumented status (n=30) | History of undocumented status (n=77) | Total |
|---|---|---|---|---|
| N (%) | N (%) | N (%) | N (%) | |
| Education | ||||
| Less than high school | 12 (12.2) | 6 (20.0) | 4 (5.2) | 22 (10.3) |
| High school diploma/GED | 20 (20.41) | 14 (46.7) | 37 (48.1) | 71 (34.6) |
| Some college/technical | 31 (31.6) | 4 (13.3) | 19 (24.7) | 54 (26.3) |
| College degree/beyond | 35 (35.7) | 6 (20.0) | 17 (22.1) | 58 (28.3) |
| 98 | 30 | 77 | 205 | |
| Time in the United States | ||||
| 1–4 years | — | 9 (30.0) | 8 (10.7) | 17 (16.2) |
| 5–10 years | — | 0 (0.0) | 10 (13.3) | 10 (9.5) |
| 11–15 | — | 1 (3.3) | 19 (25.3) | 20 (19.1) |
| 16–20 | — | 6 (20.0) | 12 (16.0) | 18 (17.1) |
| 21+ | — | 14 (46.7) | 26 (34.7) | 40 (38.1) |
| 30 | 75 | 105 | ||
| Time in SF | ||||
| 0–2 years | 23 (24.0) | 9 (30.0) | 15 (20.0) | 47 (23.4) |
| 3–6 years | 12 (12.5) | 3 (10.0) | 5 (6.7) | 20 (10.0) |
| 7–10 | 8 (8.3) | 1 (3.3) | 18 (24.0) | 18 (13.4) |
| 11+ | 53 (55.2) | 17 (56.7) | 37 (49.3) | 37 (53.2) |
| 96 | 30 | 75 | 201 | |
| Age | ||||
| 18–19 | 0 (0.0) | 1 (3.3) | 0 (0.0) | 1 (0.5) |
| 20–24 | 16 (16.5) | 2 (6.7) | 7 (9.3) | 25 (12.4) |
| 25–29 | 21 (21.7) | 4 (13.3) | 6 (8.0) | 31 (15.4) |
| 30–34 | 10 (10.2) | 3 (10.0) | 10 (13.3) | 22 (10.9) |
| 35–39 | 13 (13.4) | 2 (6.7) | 13 (17.3) | 28 (13.9) |
| 40–44 | 10 (10.3) | 5 (16.7) | 17 (22.7) | 32 (15.8) |
| 45–49 | 8 (8.3) | 2 (6.7) | 7 (9.3) | 17 (8.4) |
| 50–59 | 14 (14.4) | 7 (23.3) | 14 (18.0) | 33 (16.3) |
| 60+ | 6 (6.2) | 4 (13.3) | 3 (4.0) | 13 (6.4) |
| 98 | 30 | 77 | 205 | |
| Extremely low income for SF | ||||
| Above poverty level | 31 (31.3) | 4 (13.3) | 9 (12.2) | 44 (21.7) |
| At or below Poverty level | 66 (68.6) | 26 (86.7) | 67 (88.2) | 159 (78.3) |
| 97 | 30 | 76 | 203 | |
| Gender identification | ||||
| Female | 43 (43.9) | 10 (33.3) | 25 (32.5) | 78 (38.1) |
| Transgender | 42 (42.9) | 20 (66.7) | 47 (61.0) | 109 (53.2) |
| Androgynous | 2 (2.0) | 0 (0.0) | 1 (1.3) | 3 (1.5) |
| Genderqueer | 7 (7.1) | 0 (0.0) | 1 (1.3) | 8 (4.0) |
| Questioning | 0 (0.0) | 0 (0.0) | 1 (1.3) | 1 (0.5) |
| Other | 4 (4.1) | 0 (0.0) | 2 (2.6) | 6 (3.0) |
| 98 | 30 | 77 | 205 | |
| Sexual orientation | ||||
| Straight | 46 (47.4) | 20 (66.7) | 61 (79.2) | 127 (61.9) |
| Gay/lesbian | 5 (5.2) | 3 (10.0) | 4 (5.3) | 12 (5.9) |
| Bisexual | 16 (16.5) | 5 (16.7) | 4 (5.3) | 25 (12.4) |
| Pansexual | 12 (12.4) | 0 (0.0) | 0 (0.0) | 12 (5.9) |
| Queer | 11 (11.3) | 1 (3.3) | 3 (4.0) | 15 (7.4) |
| Questioning | 3 (3.1) | 0 (0.0) | 0 (0.0) | 3 (1.5) |
| Other | 5 (5.1) | 1 (3.3) | 5 (6.7) | 11 (5.3) |
| 97 | 30 | 100 | 205 | |
| Income: (% of group) | ||||
| Job | 48 (49.9) | 8 (26.7) | 29 (38.7) | 85 (42.1) |
| GA, food stamps | 28 (28.8) | 6 (20.0) | 24 (31.2) | 58 (28.3) |
| SSI | 32 (32.7) | 8 (26.7) | 7 (9.1) | 47 (22.9) |
| Disability | 11 (11.2) | 6 (20.0) | 3 (4.0) | 20 (9.8) |
| Unemployment | 2 (2.06) | 0 (0.0) | 1 (1.3) | 3 (1.5) |
| Main partners income | 11 (10.2) | 1 (3.3) | 7 (9.1) | 19 (9.3) |
| Family's income | 20 (20.4) | 4 (13.3) | 8 (10.4) | 32 (15.6) |
| Sex work | 28 (28.6) | 4 (13.3) | 10 (13.0) | 42 (20.5) |
| Drug dealing | 2 (2.0) | 0 (0.0) | 0 (0.0) | 2 (1.0) |
| Alimony/child support | 1 (1.0) | 0 (0.0) | 0 (0.0) | 1 (0.5) |
| Student loans | 5 (5.21) | 0 (0.0) | 0 (0.0) | 5 (2.4) |
| HIV status (lab result) | ||||
| Positive | 28 (28.6) | 11 (36.7) | 19 (24.7) | 58 (28.3) |
| Total tests run | 98 | 30 | 77 | 205 |
| HCV status (lab result) | ||||
| Positive | 21 (29.2) | 2 (10.0) | 8 (15.4) | 31 (21.4) |
| Total tests run | 72 | 20 | 53 | 145 |
| Mental health | ||||
| Depression | 61 (62.9) | 14 (46.7) | 32 (42.7) | 107 (52.9) |
| PTSD | 32 (32.9) | 8 (26.7) | 17 (22.7) | 57 (28.2) |
| Anxiety | 59 (60.2) | 13 (43.3) | 36 (46.8) | 108 (52.7) |
| Health insurance | ||||
| HMO (%yes in that group) | 18 (18.4) | 3 (10.0) | 5 (6.5) | 26 (12.7) |
| Medi-Cal/medicaid | 55 (56.1) | 21 (70.0) | 38 (49.4) | 114 (56.0) |
| Medicare | 5 (5.1) | 0 (0.0) | 1 (1.3) | 6 (3.0) |
| Veterans administration | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) |
| Tricare | 1 (1.0) | 0 (0.0) | 0 (0.0) | 1 (0.5) |
| Healthy SF | 15 (15.31) | 9 (30.0) | 30 (39.0) | 54 (26.3) |
| Other | 7 (7.1) | 0 (0.0) | 5 (6.5) | 12 (5.9) |
| No insurance | 7 (7.2) | 0 (0.0) | 5 (6.7) | 12 (5.9) |
| Services accessed | (% from 97) | (% from 30) | (% from 75) | Total |
| Trans thrive/API Wellness Center | 26 (26.5) | 11 (36.7) | 15 (19.5) | 52 (25.4) |
| Transgender surgery access SFDPH | 8 (8.2) | 2 (6.7) | 9 (12.0) | 19 (9.3) |
| LGBT Center/transgender employment | 19 (19.4) | 9 (30.0) | 9 (11.7) | 37 (18.1) |
| Lyon Martin Health Center Services | 11 (11.2) | 3 (10.0) | 6 (8.0) | 20 (9.8) |
| Tri-City Health Center | 5 (5.1) | 0 (0.0) | 3 (4.0) | 8 (4.0) |
| Other services | 20 (20.4) | 9 (30.0) | 20 (25.3) | 49 (23.8) |
| No services | 22 (22.5) | 4 (13.3) | 16 (21.0) | 42 (20.5) |
| Gender-affirming surgeries | ||||
| Laser hair removal | 32 (32.7) | 9 (30.0) | 22 (29.0) | — |
| Penectomy | 1 (1.0) | 1 (3.3) | (0.0) | |
| Orchiectomy | 9 (9.3) | 3 (10.0) | 3 (4.0) | — |
| Vaginoplasty | 7 (7.1) | 4 (13.3) | 4 (5.2) | |
| Breast implants | 11 (11.2) | 6 (20.0) | 27 (35.1) | — |
| Facial feminization | 3 (3.1) | 3 (10.0) | 9 (11.7) | |
| Dermal filler | 3 (3.1) | 0 (0.0) | (0.0) | — |
| Electrolysis | 6 (8.7) | 0 (0.0) | 2 (4.3) | |
| Voice surgery | 1 (1.5) | 0 (0.0) | 0 (00.0) | — |
| Tracheal shave | 2 (3.0) | 0 (0.0) | 1 (2.1) | |
| Fat transfer | 0 (0.0) | 0 (0.0) | 1 (2.1) | |
| Voice therapy | 2 (2.9) | 0 (0.0) | 0 (0.0) | — |
| No surgery done | 50 (51.6) | 13 (43.3) | 38 (50.7) | |
| History of sex work | ||||
| No | 26 (27.0) | 12 (40.0) | 27 (35.0) | 65 (31.9) |
| Yes | 71 (73.0) | 18 (60.0) | 50 (64.9) | 139 (68.1) |
| 97 | 30 | 77 | ||
| Currently on hormones? | ||||
| No | 31 (32.0) | 8 (26.7) | 28 (36.4) | 67 (32.7) |
| Yes | 67 (68.4) | 22 (73.3) | 49 (64.0) | 138 (67.3) |
| 98 | 30 | 77 | 205 | |
| Hormones covered by insurance? Among those taking hormones | ||||
| No | 9 (13.3) | (0.00) | 3 (6.3) | 12 (8.8) |
| Yes | 58 (86.6) | 22 (100) | 45 (93.8) | 125 (91.2) |
| 67 | 22 | 48 | 137 | |
| Taken nonprescribed hormones? | ||||
| No | 50 (51.0) | 16 (53.3) | 24 (31.0) | 90 (44.5) |
| Yes | 48 (49.0) | 14 (46.7) | 53 (69.0) | 115 (56.9) |
| 98 | 30 | 77 (100) | 205 | |
HCV, hepatitis C virus; PTSD, post-traumatic stress disorder.
Left: Bivariate Associations with Non-Prescribed Hormone Use Among Trans Latinas. Right: Multivariable Associations With Non-Prescribed Hormone Use Among Trans Latinas. Trans National Study San Francisco, CA; 2016–2017 (N=205)
| Bivariate model | Multivariable model | |||
|---|---|---|---|---|
| Characteristic | OR (95% CI) | p | aOR (95% CI) | p |
| Age | 1.02 (0.99–1.04) | 0.091 | 1.02 (0.99–1.06) | 0.106 |
| Poverty | 1.63 (0.83–3.21) | 0.159 | 1.51 (0.66–3.48) | 0.330 |
| U.S. born | — | — | Reference | — |
| Documented immigration status | 0.91 (0.40–2.06) | 0.824 | 0.78 (0.29–2.06) | 0.610 |
| History of undocumented immigration status | 2.30 (1.23–4.29) | 0.009 | 3.37 (1.55–7.33) | 0.002 |
| Gender identification | ||||
| Female | — | — | — | |
| Transwoman | 0.87 (0.48–1.57) | 0.644 | — | |
| Queer/additional | 0.33 (0.11–0.97) | 0.044 | — | |
| Time living in San Francisco | ||||
| 0–2 years | — | — | Reference | — |
| 3–6 years | 1.08 (0.38–3.07) | 0.892 | 1.25 (0.37–4.20) | 0.720 |
| 7–10 years | 0.95 (0.37–2.44) | 0.912 | 0.33 (0.10–1.07) | 0.064 |
| 11+ years | 1.26 (0.63–2.51) | 0.512 | 0.74 (0.30–1.79) | 0.500 |
| Enrolled in healthy SF | 2.57 (1.31–5.04) | 0.006 | — | — |
| Education | ||||
| Less than high school | — | Reference | — | |
| HS diploma/GED | 0.48 (0.23–0.99) | 0.047 | 0.46 (0.14–1.59) | 0.177 |
| Some college/technical | 0.91 (0.44–1.87) | 0.796 | 1.21 (0.37–3.98) | 0.226 |
| College degree or beyond | 0.32 (0.12–0.86) | 0.024 | 1.06 (0.32–3.46) | 0.752 |
| History of sex work | 4.24 (2.26–7.94) | 0.000 | 5.41 (2.56–11.41) | 0.000 |
| HIV result (+) | 0.91 (0.75–1.10) | 0.311 | — | — |
| HCV result (+) | 0.88 (0.61–1.28) | 0.518 | — | — |
| Problems getting health care | 1.55 (0.63–3.84) | 0.344 | 1.86 (0.66–5.23) | 0.237 |
| Breast augmentation | 2.51 (1.21–5.21) | 0.014 | — | — |
| Facial feminization | 12.33 (1.59–95.70) | 0.016 | — | — |
| Ever used fillers | 6.38 (2.55–15.96) | 0.000 | — | — |
| Housing instability | 2.4 (1.30–4.42) | 0.005 | — | — |
| Depression | 1.52 (0.87–2.65) | 0.136 | — | — |
| Anxiety | 1.66 (0.96–2.91) | 0.071 | — | — |
| PTSD | 1.92 (1.01–3.62) | 0.045 | — | — |
aOR, adjusted odds ratio; CI, confidence interval.