| Literature DB >> 30274141 |
Marta Evelia Aparicio-García1, Eva María Díaz-Ramiro2, Susana Rubio-Valdehita3, María Inmaculada López-Núñez4, Isidro García-Nieto5.
Abstract
Young transgender and non-binary individuals (TNBI) are exposed to situations of discrimination and have a greater risk of violence. The purpose of this study is to analyze which protective, violence and health and well-being factors have more influence on TNBI compared to cisgender people. The sample comprised 856 youth between 14 and 25 years old. A survey including questions about sociodemographic information and protective, violence and health and well-being factors was designed ad hoc for this study. The results show the non-binary group received the least support from family and friends, higher risk of suffering cyberbullying, and many feel isolated and unhappy. TNBI have suffered more verbal attacks both inside and outside their school and physical attacks at school than cisgender young. These results are important because they may contribute to the promotion of public policies and clinical interventions that favor the integration of TNBI in our society.Entities:
Keywords: adolescence; gender nonconforming; health; non-binary gender identity; transgender; well-being
Mesh:
Year: 2018 PMID: 30274141 PMCID: PMC6209926 DOI: 10.3390/ijerph15102133
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Demographic characteristics of students by gender group.
| Demographic Characteristics | Gender Subgroup | ||
|---|---|---|---|
| Transgender, | Non-Binary, | Cisgender, | |
| Sexual Orientation | |||
| Heterosexual | 83 (47.2) | 2 (2.9) | 181 (34.2) |
| Gay | 5 (2.8) | 3 (4.4) | 91 (17.2) |
| Lesbian | 4 (2.3) | 10 (14.7) | 93 (17.6) |
| Bisexual | 21 (11.9) | 10 (14.7) | 99 (18.7) |
| Pansexual | 55 (31.3) | 32 (47.1) | 46 (8.7) |
| Other | 4 (2.3) | 10 (14.7) | 14 (2.6) |
| Missing | 4 (2.3) | 1 (1.3) | 5 (0.9) |
| Religion | |||
| Catholic | 32 (17.8) | 2 (2.9) | 86 (16.2) |
| Atheist or agnostic | 117 (65) | 55 (78.6) | 402 (75.6) |
| Other | 13 (7.2) | 10 (14.3) | 23 (4.3) |
| Missing | 18 (10) | 3 (4.3) | 21 (3.9) |
| Area | |||
| Rural | 35 (5.7) | 4 (5.7) | 60 (11.3) |
| Urban | 143 (79.4) | 65 (92.9) | 470 (88.3) |
Associations between gender group and violence or personal safety.
| Violence or Personal Safety | Odds Ratio (95% Confidence Interval) |
| |
|---|---|---|---|
| Excluded by your peer group at some time | 0.167 | ||
| Cisgender ( | 128 (24.3%) | 1.00 | |
| Transgender ( | 22 (18.3%) | 0.63 (0.37–1.08) | |
| Non-binary ( | 8 (19.5%) | 0.67 (0.28–1.58) | |
| Verbal attacks at school | 0.000 | ||
| Cisgender ( | 132 (25.2%) | 1.0 | |
| Transgender ( | 71 (43.0%) | 1.74 (1.16–2.61) | |
| Non-binary ( | 29 (42.6%) | 1.99 (1.14–3.45) | |
| Verbal attacks out of school | 0.000 | ||
| Cisgender ( | 155 (29.4%) | 1.0 | |
| Transgender ( | 76 (43.9%) | 1.87 (1.28–2.76) | |
| Non-binary ( | 38 (55.9%) | 3.17 (1.84–5.45) | |
| Physical attacks at school | 0.000 | ||
| Cisgender ( | 43 (8.2%) | 1.0 | |
| Transgender ( | 38 (22.4%) | 2.72 (1.59–4.63) | |
| Non-binary ( | 9 (13.6%) | 1.94 (0.88–4.29) | |
| Physical attacks out of school | 0.018 | ||
| Cisgender ( | 82 (24.1%) | 1.0 | |
| Transgender ( | 27 (15.6%) | 0.60 (0.37–0.99) | |
| Non-binary ( | 8 (12.3%) | 0.46 (0.21–1.02) | |
| Cyberbullying | 0.000 | ||
| Cisgender ( | 144 (30.1%) | 1.0 | |
| Transgender ( | 37 (20.9%) | 0.46 (0.29–0.73) | |
| Non-binary ( | 29 (41.4%) | 1.49 (0.87–2.57) | |
| Discrimination when looking for a job | 0.000 | ||
| Cisgender ( | 95 (20.6%) | 1.0 | |
| Transgender ( | 71 (53.4%) | 6.81 (4.18–11.09) | |
| Non-binary ( | 27 (55.1%) | 6.56 (3.31–13.00) |
Associations between gender group and protective factors.
| Protective Factors | Odds Ratio (95% Confidence Interval) |
| |
|---|---|---|---|
| Involvement in extracurricular activities in school | 0.018 | ||
| Cisgender ( | 181 (35.0%) | 1.0 | |
| Transgender ( | 46 (27.7%) | 0.47 (0.27–0.80) | |
| Non-binary ( | 16 (23.9%) | 0.52 (0.23–1.19) | |
| Practice of a sport in school or outside it | 0.000 | ||
| Cisgender ( | 248 (46.6%) | 1.0 | |
| Transgender ( | 89 (49.4%) | 0.12 (0.03–0.52) | |
| Non-binary ( | 19 (27.1%) | 0.07 (0.01–0.47) | |
| Go out with friends | 0.000 | ||
| Cisgender ( | 456 (85.7%) | 1.0 | |
| Transgender ( | 133 (73.9%) | 0.19 (0.02–2.30) | |
| Non-binary ( | 44 (62.9%) | 0.09 (0.01–1.50) | |
| Take part in LGBT associations | 0.000 | ||
| Cisgender ( | 84 (24.4%) | 1.0 | |
| Transgender ( | 75 (42.9%) | 1.58 (0.83–3.00) | |
| Non-binary ( | 19 (28.8%) | 0.57 (0.26–1.28) | |
| Take part in online LGTB groups | 0.000 | ||
| Cisgender ( | 102 (29.9%) | 1.0 | |
| Transgender ( | 78 (44.8%) | 0.32 (0.08–1.30) | |
| Non-binary ( | 43 (65.2%) | 0.55 (0.10–3.04) | |
| Family support | 0.000 | ||
| Cisgender ( | 186 (58.7%) | 1.0 | |
| Transgender ( | 86 (51.2%) | 0.84 (0.56–1.27) | |
| Non-binary ( | 14 (26.4%) | 0.26 (0.13–0.51) | |
| Adult support outside the family | 0.015 | ||
| Cisgender ( | 169 (57.9%) | 1.0 | |
| Transgender ( | 98 (58.3%) | 1.23 (0.80–1.88) | |
| Non-binary ( | 25 (42.4%) | 0.48 (0.26–0.88) | |
| Friends support | 0.000 | ||
| Cisgender ( | 312 (96.0%) | 1.0 | |
| Transgender ( | 153 (87.9%) | 0.31 (0.14–0.70) | |
| Non-binary ( | 54 (84.4%) | 0.22 (0.08–0.57) | |
| Have a remunerated job | 0.000 | ||
| Cisgender ( | 126 (23.7%) | 1.0 | |
| Transgender ( | 23 (12.8%) | 0.87 (0.50–1.51) | |
| Non-binary ( | 6 (8.6%) | 0.31 (0.11–0.90) |
Associations between gender group and health or well-being indicators.
| Health or Well-Being Indicators | Odds Ratio (95% Confidence Interval) |
| |
|---|---|---|---|
| Feeling isolated | 0.000 | ||
| Cisgender ( | 103 (29.0%) | 1.0 | |
| Transgender ( | 71 (40.3%) | 1.35 (0.90–2.04) | |
| Non-binary ( | 38 (54.3%) | 2.61 (1.50–4.52) | |
| Ever think about suicide | 0.000 | ||
| Cisgender ( | 211 (40.6%) | 1.0 | |
| Transgender ( | 121 (70.3%) | 2.82 (1.89–4.20) | |
| Non-binary ( | 53 (77.9%) | 4.43 (2.40–8.18) | |
| Tried drugs and alcohol | 0.365 | ||
| Cisgender ( | 308 (59.1%) | 1.0 | |
| Transgender ( | 85 (48.3%) | 0.81 (0.55–1.18) | |
| Non-binary ( | 36 (52.9%) | 0.74 (0.43–1.27) | |
| Psychological health problems | 0.000 | ||
| Cisgender ( | 203 (38.4%) | 1.00 | |
| Transgender ( | 92 (52.3%) | 1.56 (1.07–2.26) | |
| Non-binary ( | 39 (55.7%) | 1.76 (1.04–2.99) | |
| Smoke | 0.655 | ||
| Cisgender ( | 133 (25.0%) | 1.0 | |
| Transgender ( | 45 (25.0%) | 1.04 (0.68–1.59) | |
| Non-binary ( | 15 (21.4%) | 0.76 (0.40–1.45) | |
| Drank alcohol | 0.009 | ||
| Cisgender ( | 342 (64.3%) | 1.0 | |
| Transgender ( | 76 (42.5%) | 0.55 (0.38–0.81) | |
| Non-binary ( | 40 (57.1%) | 0.75 (0.44–1.29) | |
| Drug use | 0.992 | ||
| Cisgender ( | 146 (27.5%) | 1.0 | |
| Transgender ( | 43 (24.0%) | 1.02 (0.67–1.55) | |
| Non-binary ( | 20 (28.6%) | 1.03 (0.57–1.85) | |
| Happy or very happy | 0.000 | ||
| Cisgender ( | 411 (83.5%) | 1.0 | |
| Transgender ( | 109 (66.1%) | 0.49 (0.32–0.76) | |
| Non-binary ( | 35 (61.4%) | 0.38 (0.21–0.70) |