| Literature DB >> 32737817 |
Thiago S Torres1, Brenda Hoagland2, Daniel R B Bezerra2, Alex Garner3, Emilia M Jalil2, Lara E Coelho2, Marcos Benedetti2, Cristina Pimenta4, Beatriz Grinsztejn2, Valdilea G Veloso2.
Abstract
We conducted a web-based survey to understand the impact of social distancing measures on Brazilian MSM and transgender/non-binary lives. A total of 3486 respondents were included in this analysis and the great majority were cismen (98%). The median age was 32 years (IQR: 27-40), 44% non-white, 36% low schooling and 38% low income. Most of participants reported HIV negative/unknown status (77%). Participants on-PrEP reported more condomless anal sex than those off-PrEP. Conversely, 24% off-PrEP were at substantial HIV-risk. PrEP/ART continuation were reported by the majority, despite reports of impediments to medication refill. Transgender/non-binary reported more mental health problems and challenges to access health care. Social and racial disparities were associated with unattainability of maintaining social distancing. Tailored social and economic support policies during COVID-19 pandemic should be made available to these populations. Challenges for PrEP/ART access will demand the implementation of innovative solutions to avoid the expansion of the HIV epidemic.Entities:
Keywords: Brazil; Covid-19; MSM; PrEP; Transgender people
Mesh:
Substances:
Year: 2021 PMID: 32737817 PMCID: PMC7394046 DOI: 10.1007/s10461-020-02984-1
Source DB: PubMed Journal: AIDS Behav ISSN: 1090-7165
Fig. 1Study flow-chart. Brazil, 2020
Characteristics of study population
| N = 3486 (%) | |
|---|---|
| Age (years) | |
| Median | 32(IQR: 27–40) |
| 18–24 | 505 (14.5) |
| 25–35 | 1627 (46.7) |
| > 35 | 1354 (38.8) |
| Recruitment | |
| Hornet | 2137 (61.3) |
| 1098 (31.5) | |
| 251 (7.2) | |
| Gender | |
| Cisgender men | 3400 (97.5) |
| Transgender men | 12 (0.3) |
| Transgender women | 28 (0.8) |
| Non binary/gender fluid | 46 (1.3) |
| Sexual orientation | |
| Gay | 2961 (84.9) |
| Bisexual | 438 (12.6) |
| Heterosexual | 17 (0.5) |
| Other | 70 (2.0) |
| Race | |
| White | 1927 (55.3) |
| Black | 494 (14.2) |
| 1005 (28.8) | |
| Native | 35 (1.0) |
| Asian | 25 (0.7) |
| Schooling | |
| Low | 1252 (35.9) |
| High | 2234 (64.1) |
| Family monthly income | |
| Low | 1323 (38.0) |
| Middle | 1404 (40.3) |
| High | 759 (21.8) |
| Region | |
| Southeast | 2784 (80.4) |
| South | 313 (9.0) |
| Central-west | 165 (4.8) |
| Northeast | 166 (4.8) |
| North | 33 (1.0) |
| Resident of metro area | |
| Yes | 2636 (76.2) |
| No | 825 (23.8) |
| HIV self-reported status | |
| Negative | 2375 (68.1) |
| Positive | 814 (23.4) |
| Unknown | 297 (8.5) |
Brazil, 2020
N = 3486
Social distancing and COVID-19 pandemic impact in personal life according to gender
| Total | Transgender / non binary | Cisgender MSM | p-value | |
|---|---|---|---|---|
| Fear to get infected by COVID-19 | 0.05 | |||
| High | 1176 (33.7) | 36 (41.9) | 1140 (33.5) | |
| Moderate | 1523 (43.7) | 30 (34.9) | 1493 (43.9) | |
| Low | 495 (14.2) | 17 (19.8) | 478 (14.1) | |
| No | 231 (6.6) | 1 (1.2) | 230 (6.8) | |
| Infected or previously infected by COVID-19 | 61 (1.7) | 2 (2.3) | 59 (1.7) | |
| Concerned if close relatives/friends get infected by COVID-19 | ||||
| 100 | 1435 (41.2) | 40 (46.5) | 1395 (41.0) | 0.60 |
| 99–75 | 1084 (31.1) | 27 (31.4) | 1057 (31.1) | |
| 74–50 | 669 (19.2) | 12 (14.0) | 657 (19.3) | |
| < 50 | 298 (8.5) | 7 (8.1) | 291 (8.6) | |
| Impact of social distancing measures in personal life | ||||
| High | 2195 (63.0) | 59 (68.6) | 2136 (62.8) | |
| Medium | 894 (25.6) | 21 (24.4) | 873 (25.7) | |
| Low/no | 397 (11.4) | 6 (7.0) | 391 (11.5) | |
| Aspect most impacted | 0.11 | |||
| Economic | 1474 (42.3) | 47 (54.7) | 1427 (42.0) | |
| Affective/sexual | 988 (28.3) | 17 (19.8) | 971 (28.6) | |
| Family/friendship | 914 (26.2) | 20 (23.3) | 894 (26.3) | |
| None | 110 (3.2) | 2 (2.3) | 108 (3.2) | |
| Challenges | ||||
| Salary/job reduced or lost | 1575 (45.2) | 44 (51.2) | 1531 (45.0) | 0.26 |
| Access to hand sanitizer | 1201 (34.5) | 35 (40.7) | 1166 (34.3) | 0.22 |
| Transportation availability | 676 (19.4) | 23 (26.7) | 653 (19.2) | 0.08 |
| Access to food | 451 (12.9) | 19 (22.1) | 432 (12.7) | 0.01 |
| Access to health care | 396 (11.4) | 23 (26.7) | 373 (11.0) | < 0.001 |
| Access to mental health care | 319 (9.2) | 26 (30.2) | 293 (8.6) | < 0.001 |
| Access to daily medication | 215 (6.2) | 15 (17.4) | 200 (5.9) | < 0.001 |
| Access to hormones | 54 (1.5) | 15 (17.4) | 39 (1.1) | < 0.001 |
| Access to water | 43 (1.2) | 3 (3.5) | 40 (1.2) | 0.06 |
| Unable to find housing | 22 (0.6) | 0 (0) | 22 (0.6) | 0.45 |
| Unsafe Housing | 21 (0.6) | 4 (4.7) | 17 (0.5) | < 0.001 |
Brazil, 2020
N = 3486
Mental health, binge drinking and substance use during social distancing according to gender
| Total | Transgender/non binary | Cisgender MSM | p-value | |
|---|---|---|---|---|
| Mental health problems | 2290 (65.7) | 76 (88.4) | 2214 (65.1) | < 0.001 |
| Suicidal thoughts | 400 (11.5) | 23 (26.7) | 377 (11.1) | < 0.001 |
| Physical, sexual or emotional abuse | 78 (2.2) | 2 (2.3) | 76 (2.2) | 0.96 |
| Alcohol use (yes) | 2181 (62.6) | 52 (60.5) | 2129 (62.6) | 0.68 |
| Frequency of Alcohol use | 0.34 | |||
| Increased | 647 (29.7) | 13 (25.0) | 634 (29.8) | |
| Same | 893 (40.9) | 19 (36.5) | 874 (41.1) | |
| Decreased | 641 (29.4) | 20 (38.5) | 621 (29.2) | |
| Binge drinking | 1705 (48.9) | 43 (50.0) | 1662 (48.9) | 0.84 |
| Tobacco smoking | 804 (23.1) | 32 (37.2) | 772 (22.7) | 0.002 |
| Tobacco smoking frequency | 0.10 | |||
| Increased | 397 (49.4) | 13 (40.6) | 384 (49.7) | |
| Same | 198 (24.6) | 6 (18.8) | 192 (24.9) | |
| Decreased | 163 (20.3) | 12 (37.5) | 151 (19.6) | |
| Started | 46 (5.7) | 1 (3.1) | 45 (5.8) | |
| Any illicit drug use | 806 (23.1) | 33 (38.4) | 773 (22.7) | < 0.001 |
| Illicit drug use frequency | 0.991 | |||
| Increased | 245 (30.4) | 10 (30.3) | 235 (30.4) | |
| Same | 223 (27.7) | 10 (30.3) | 213 (27.6) | |
| Initiated other illicit drugs | 20 (2.5) | 1 (3.0) | 19 (2.5) | |
| Decreased | 274 (34.0) | 10 (30.3) | 264 (34.2) | |
| Started using illicit drugs | 44 (5.5) | 2 (6.1) | 42 (5.4) |
Brazil, 2020
N = 3486
Sexual behavior, PrEP eligibility criteria and HIV perceived risk among individuals reporting negative/unknown HIV status according to PrEP use during social distancing period
| Total | Not on PrEP | On PrEP | p-value | |
|---|---|---|---|---|
| Sex during social distancing period | ||||
| Yes, with any partner | 1012 (37.9) | 739 (34.5) | 273 (51.6) | < 0.001 |
| Yes, only with steady partners | 447 (16.7) | 326 (15.2) | 121 (22.9) | |
| Sex abstinence | 1213 (45.4) | 1078 (50.3) | 135 (25.5) | |
| Steady partners | < 0.001 | |||
| No | 1736 (65.0) | 1458 (68.0) | 278 (52.6) | |
| Yes, HIV negative | 647 (24.2) | 495 (23.1) | 152 (28.7) | |
| Yes, HIV positive undetectable VL | 150 (5.6) | 82 (3.8) | 68 (12.9) | |
| Yes, HIV positive detectable/unknown VL | 14 (0.5) | 8 (0.4) | 6 (1.1) | |
| Yes, HIV unknown | 125 (4.7) | 100 (4.7) | 25 (4.7) | |
| Condomless receptive anal sex with steady partners | < 0.001 | |||
| No | 2244 (84.0) | 1874 (87.4) | 370 (69.9) | |
| Yes | 428 (16.0) | 269 (12.6) | 159 (30.1) | |
| Number of casual partners | < 0.001 | |||
| No | 1673 (62.6) | 1415 (66.0) | 258 (48.8) | |
| 1 | 381 (14.3) | 302 (14.1) | 79 (14.9) | |
| 2 to 5 | 505 (18.9) | 357 (16.7) | 148 (28.0) | |
| > 5 | 113 (4.2) | 69 (3.2) | 44 (8.3) | |
| Condomless receptive anal sex with casual partner | < 0.001 | |||
| No | 2292 (85.8) | 1918 (89.5) | 374 (70.7) | |
| Yes | 380 (14.2) | 225 (10.5) | 155 (29.3) | |
| Change in number of sexual partners | 0.086 | |||
| Increased | 91 (3.4) | 75 (3.5) | 16 (3.0) | |
| Same | 837 (31.3) | 691 (32.2) | 146 (27.6) | |
| Decreased | 1744 (65.3) | 1377 (64.3) | 367 (69.4) | |
| Transactional sex | 0.003 | |||
| No | 2594 (97.1) | 2092 (97.6) | 502 (94.9) | |
| Yes | 78 (2.9) | 51 (2.4) | 27 (5.1) | |
| Main venue to find casual partners (n = 1012) | 0.357 | |||
| Online | 779 (76.8) | 574 (77.6) | 205 (74.8) | |
| Other | 235 (23.2) | 166 (22.4) | 69 (25.2) | |
| PrEP eligibility criteria | < 0.001 | |||
| No | 1857 (69.5) | 1630 (76.1) | 227 (42.9) | |
| Yes | 815 (30.5) | 513 (23.9) | 302 (57.1) | |
| HIV perceived risk | < 0.001 | |||
| No risk | 1581 (59.2) | 1306 (60.9) | 275 (52.0) | |
| Low risk | 870 (32.6) | 654 (30.5) | 216 (40.8) | |
| High | 221 (8.3) | 183 (8.5) | 38 (7.2) |
Brazil, 2020
N = 2,672
Factors associated with unattainability of maintaining social distancing
| Unattainability of maintaining social distancing | aOR (95%CI) | ||
|---|---|---|---|
| Yes (n = 917) | No (n = 2,569) | ||
| Age (years) | 32 (IQR: 26–38) | 33 (IQR:27–41) | 0.99 (0.98–1.00) |
| Gender | |||
| Cisgender men | 891 (97.2) | 2509 (97.7) | 1.01 (0.63–1.67) |
| Transgender/non binary | 26 (2.8) | 60 (2.3) | Ref |
| Sexual orientation | |||
| Gay | 755 (82.3) | 2206 (85.9) | 0.83 (0.68–1.03) |
| Other | 162 (17.7) | 363 (14.1) | Ref |
| Race | |||
| White/Asian | 453 (49.4) | 1499 (58.3) | Ref |
| Black/ | 464 (50.6) | 1070 (41.7) | |
| Schooling | |||
| Low | 414 (45.1) | 838 (32.6) | |
| High | 503 (54.9) | 1731 (67.4) | Ref |
| Income | |||
| Low | 399 (43.5) | 924 (36.0) | |
| Middle | 372 (40.6) | 1032 (40.2) | |
| High | 146 (15.9) | 613 (23.9) | Ref |
| Region | |||
| Southeast/South | 798 (87.6) | 2299 (90.2) | 0.79 (0.62–1.01) |
| Other | 113 (12.4) | 251 (9.8) | Ref |
| Self-reported HIV status | |||
| Positive | 208 (22.7) | 606 (23.6) | Ref |
| Negative | 618 (67.4) | 1757 (68.4) | 1.03 (0.85–1.24) |
| Unknown | 91 (9.9) | 206 (8.0) | 1.04 (0.76–1.41) |
| Binge drinking | |||
| No | 422 (46.0) | 1359 (52.9) | Ref |
| Yes | 495 (54.0) | 1210 (47.1) | |
| Illicit drug use | |||
| No | 721 (78.6) | 1959 (76.3) | Ref |
| Yes | 196 (21.4) | 610 (23.7) | 0.85 (0.70–1.02) |
Brazil, 2020. N = 3,486
Bold values indicate p < 0.01
aOR adjusted OR, IQR interquartile range