| Literature DB >> 33173876 |
Brooke A Jarrett1, Sarah M Peitzmeier2, Arjee Restar1, Tyler Adamson3, Sean Howell4, Stefan Baral1, S Wilson Beckham5.
Abstract
BACKGROUND: Transgender and non-binary people are disproportionately burdened by barriers to quality healthcare, mental health challenges, and economic hardship. This study examined the impact of the novel coronavirus disease (COVID-19) pandemic and subsequent control measures on gender-affirming care, mental health, and economic stability among transgender and non-binary people globally.Entities:
Year: 2020 PMID: 33173876 PMCID: PMC7654856 DOI: 10.1101/2020.11.02.20224709
Source DB: PubMed Journal: medRxiv
Demographics for transgender and non-binary individuals from the COVID-19 Disparities Survey distributed globally by the Hornet and Her apps between April 16 and August 3, 2020 (N=964)
| Overall (%)[ | |
|---|---|
| Transgender man | 95 (9.9%) |
| Transgender woman | 201 (20.9%) |
| Non-binary (NB) only | 594 (61.6%) |
| NB transgender woman | 17 (1.8%) |
| NB transgender man | 7 (0.7%) |
| NB, transgender woman, and transgender man | 2 (0.2%) |
| Transgender man and transgender woman | 7 (0.7%) |
| Man and woman | 41 (4.3%) |
| Transmasculine (assigned female sex or intersex at birth) | 37 (3.8%) |
| Transfeminine (assigned male sex or intersex at birth) | 283 (29.4%) |
| Non-binary[ | 644 (66.8%) |
| Europe | 451 (46.8%) |
| South-East Asia | 242 (25.1%) |
| Americas | 86 (8.9%) |
| Eastern Mediterranean | 85 (8.8%) |
| Western Pacific | 40 (4.2%) |
| Africa | 35 (3.6%) |
| 18–29 years | 487 (50.5%) |
| 30 – 39 years | 287 (29.8%) |
| 40 – 49 years | 132 (13.7%) |
| 50+ years | 58 (6.0%) |
| Lower | 151 (15.7%) |
| Lower Middle | 472 (49.0%) |
| Upper middle | 290 (30.1%) |
| Upper | 46 (4.8%) |
| Less than 6 years | 54 (5.6%) |
| 6–12 years | 176 (18.3%) |
| Some university, no degree | 193 (20.0%) |
| Trade school | 120 (12.5%) |
| University degree or more | 410 (42.6%) |
| Yes | 250 (26.0%) |
| No | 493 (51.2%) |
| Don’t know / can’t answer | 211 (21.9%) |
| Yes | 143 (14.8%) |
| No | 719 (74.6%) |
| Not sure | 85 (8.8%) |
| Ever lacked access to a mask | 122 (12.7%) |
| In a location that ever issued “stay-at-home” confinement orders | 729 (75.6%) |
Denominators include those for whom data were missing: 25 did not report a country, 5 did not report a socioeconomic status, 11 did not report an education level, 10 did not report if they were an ethnic minority, 17 did not report if they were an immigrant, 6 did not report their access to masks, and 7 did not report whether their country of residence had implemented “stay-at-home” confinement orders
Of those whose gender was non-binary, 28 reported being assigned female sex at birth, 578 reported being assigned male sex at birth, 37 reported being assigned intersex at birth, and one did not report their sex assigned at birth.
Access to and actualization of gender-affirming resources among self-identified transgender and non-binary individuals from the COVID-19 Disparities Survey between April 16, 2020 and August 3, 2020 (N=964)
| Overall (%) | Transmasculine | Transfeminine | Non-Binary | p-value[ | |
|---|---|---|---|---|---|
| 320 / 582 (55.0%) | 17 / 26 (65.4%) | 110/189 (58.2%) | 193 / 367 (52.6%) | 0.25 | |
| Hormone therapy and/or gender-affirming medication | 143 / 401 (35.7%) | 11 / 20 (55.0%) | 61 /145 (42.1%) | 71 / 236 (30.1%) | 0.01 |
| Surgical aftercare | 119 / 356 (33.4%) | 6 / 14 (42.9%) | 51 / 127 (40.2%) | 62 / 215 (28.8%) | 0.08 |
| Cosmetic supplies and services, e.g., makeup, wigs, and hair removal | 189 / 500 (37.8%) | 9 / 21 (42.9%) | 65 / 162 (40.1%) | 115/317 (36.3%) | 0.63 |
| Mental health counseling and therapy* | 192 / 448 (42.9%) | 13 / 21 (61.9%) | 57 / 143 (39.9%) | 122 / 284 (43.0%) | 0.16 |
| Body modifiers, e.g., binders and packing material | 160 / 443 (36.1%) | 8 / 18 (44.4%) | 57 / 148 (38.5%) | 95 / 277 (34.3%) | 0.52 |
| More or a lot more | 67 / 860 (7.8%) | 7 / 28 (25.0%) | 22 / 232 (9.5%) | 38 / 600 (7.1%) | < 0.001 |
| About the same | 466 (54.2%) | 13 (46.4%) | 110 (47.4%) | 343 (57.2%) | |
| Less or not at all | 327 (38.0%) | 8 (28.6%) | 100 (43.1%) | 219 (36.5%) |
Denominators excluded participants who were not presented with these questions, did not respond, or said that the resource was not applicable to them
p-values were calculated using chi-squared and Fischer’s exact tests as appropriate
Mental health and resiliency indicators among transgender and non-binary individuals from the COVID-19 Disparities Survey between April 16, 2020 and August 3, 2020 (N=964)[a]
| Overall (%) | Transmasculine | Transfeminine | Non-Binary | p-value[ | |
|---|---|---|---|---|---|
| Depression | 442 / 877 (50.4%) | 17 / 35 (48.6%) | 144 / 245 (58.8%) | 281 / 597 (47.1%) | 0.01 |
| Anxiety | 392 / 856 (45.8%) | 17 / 33 (51.5%) | 125 / 237 (52.7%) | 250 / 586 (42.7%) | 0.03 |
| Yes | 685 / 957 (71.6%) | 28 / 37 (75.7%) | 216 / 281 (76.9%) | 441 / 639 (69.0%) | 0.04 |
| Was and remains rare | 648 / 928 (69.8%) | 26 / 36 (72.2%) | 183 / 268 (68.3%) | 439 / 624 (70.4%) | 0.98 |
| Decreased from frequent to rare | 116 (12.5%) | 4 (11.1%) | 33 (12.3%) | 79 (12.7%) | |
| Increased from rare to frequent | 93 (10.0%) | 3 (8.3%) | 31 (11.6%) | 59 (9.5%) | |
| Was and remains frequent | 71 (7.6%) | 3 (8.3%) | 21 (7.8%) | 47 (7.5%) | |
| Yes | 489 / 768 (63.7%) | 22 / 31 (71.0%) | 100 / 209 (47.9%) | 367 / 528 (69.5%) | < 0.001 |
| Agree | 467 / 851 (54.9%) | 20 / 35 (57.1%) | 129 / 237 (54.4%) | 318 / 579 (54.9%) | 0.85 |
| Disagree | 136 (16.0%) | 5 (14.3%) | 43 (18.1%) | 88 (15.2%) | |
| Agree | 516 / 847 (60.9%) | 26 / 34 (76.5%) | 137/231 (59.3%) | 353 / 582 (60.6%) | 0.22 |
| Disagree | 120 (14.2%) | 2 (5.9%) | 40 (17.3%) | 78 (13.4%) |
Denominators excluded individuals who did not respond or reported not knowing their answer unless otherwise noted
p-values were calculated using chi-squared and Fischer’s exact tests as appropriate
Denominator includes those who stated “neither agree nor disagree”
Economic indicators among transgender and non-binary individuals from the COVID-19 Disparities Survey between April 16, 2020 and August 3, 2020 (N=964)[a]
| Overall (%) | Transmasculine | Transfeminine | Non-Binary | p-value[ | |
|---|---|---|---|---|---|
| 151 /953 (15.8%) | 5 / 37 (13.5%) | 53 / 278 (19.1%) | 93 / 638 (14.6%) | 0.21 | |
| 0% | 216 / 940 (23.0%) | 13 / 37 (35.1%) | 57 / 270 (21.1%) | 10/633 (23.1%) | 0.33 |
| 1–39% | 265 (28.2%) | 11 (29.7%) | 70 (25.9%) | 184 (29.1%) | |
| 40–99% | 337 (35.8%) | 9 (24.3%) | 101 (37.4%) | 227 (35.9%) | |
| 100% | 122 (13.0%) | 4 (10.8%) | 42 (15.6%) | 76 (12.0%) | |
| Yes | 112 / 659 (17.0%) | 7 / 23 (30.4%) | 40 / 179 (22.4%) | 65 / 457 (14.2%) | 0.05 |
| No | 408 (61.9%) | 11 (47.8%) | 104 (58.1%) | 293 (64.1%) | |
| Received and not needed | 22 / 801 (2.8%) | 3 / 30 (10.0%) | 8 / 229 (3.5%) | 11 / 542 (2.0%) | 0.08 |
| Not received but not needed | 159 (19.8%) | 9 (30.0%) | 37 (16.2%) | 113 (20.8%) | |
| Received and needed | 192 (24.0%) | 5 (16.7%) | 56 (24.4%) | 131 (24.2%) | |
| Not received and needed | 428 (53.4%) | 13 (43.3%) | 128 (55.9%) | 287 (53.0%) | |
| 361 / 900 (40.1%) | 18 / 35 (51.4%) | 131 / 258 (50.8%) | 212 / 607 (34.9%) | < 0.001 | |
| Was telecommuting or on paid leave | 163 / 473 (34.5%) | 8 / 23 (34.8%) | 32 / 128 (25.0%) | 123 / 322 (38.2%) | 0.06 |
| Cannot afford to miss work but was following confinement orders | 146 (30.9%) | 7 (30.4%) | 40 (31.2%) | 99 (30.8%) | |
| Cannot afford to stay home and must work to survive | 164 (34.7%) | 8 (34.8%) | 56 (43.8%) | 100 (31.1%) |
Denominators excluded individuals who did not respond or reported not knowing their answer unless otherwise noted
p-values were calculated using chi-squared and Fischer’s exact tests as appropriate
Denominator includes those who reported they “might or might not” lose their health insurance
Bivariate prevalence ratios of screening positive for depression, screening positive for anxiety, and changes in suicidal ideation among transgender and non-binary individuals from the COVID-19 Disparities Survey between April 16, 2020 and August 3, 2020
| Screening positive for depression PrR (95% CI)[ | Screening positive for anxiety PrR (95% CI) | Increased frequency of suicidal thoughts (vs. remained low)[ | Retained frequent suicidal thoughts (vs. reduced frequency)[ | |
|---|---|---|---|---|
| Reported reduction in access to more than one (vs. 0) gender affirming resource | 1.63 (1.36, 1.97) n = 532 | 1.61 (1.31, 1.97) n = 523 | 1.74 (1.07, 2.82) n = 449 | 1.37 (0.87, 2.15) n = 112 |
| Reported decreased time (vs. increased) lived according to one’s gender | 1.21 (0.92, 1.58) n = 346 | 1.48 (1.04, 2.10) n = 331 | 0.57 (0.33, 0.98) n = 310 | 1.12 (0.50, 2.54) n = 68 |
Prevalence ratio (PrR) and 95% confidence interval (95% CI)
Among individuals who reported never or seldom having suicidal ideation in the six months prior to the pandemic beginning
Among individuals who reported having suicidal ideation quite often, very often, and all the time in the sex months prior to the pandemic beginning