| Literature DB >> 32350773 |
Travis H Sanchez1, Maria Zlotorzynska2, Mona Rai2, Stefan D Baral3.
Abstract
The COVID-19 pandemic is reinforcing health inequities among vulnerable populations, including men who have sex with men (MSM). We conducted a rapid online survey (April 2 to April 13, 2020) of COVID-19 related impacts on the sexual health of 1051 US MSM. Many participants had adverse impacts to general wellbeing, social interactions, money, food, drug use and alcohol consumption. Half had fewer sex partners and most had no change in condom access or use. Some reported challenges in accessing HIV testing, prevention and treatment services. Compared to older MSM, those 15-24 years were more likely to report economic and service impacts. While additional studies of COVID-19 epidemiology among MSM are needed, there is already evidence of emerging interruptions to HIV-related services. Scalable remote solutions such as telehealth and mailed testing and prevention supplies may be urgently needed to avert increased HIV incidence among MSM during the COVID-19 pandemic era.Entities:
Keywords: COVID-19; Coronavirus; Gay; HIV; MSM
Mesh:
Year: 2020 PMID: 32350773 PMCID: PMC7189633 DOI: 10.1007/s10461-020-02894-2
Source DB: PubMed Journal: AIDS Behav ISSN: 1090-7165
Characteristics of Men who have Sex with Men Who Participated in a COVID-19 Impact Survey, American Men's Internet Survey, 2020
| All participants | ||
|---|---|---|
| N | (%) | |
| Age (years) | ||
| 15–24 | 214 | (20.4) |
| 25–29 | 179 | (17.0) |
| 30–39 | 210 | (20.0) |
| 40 + | 448 | (42.6) |
| Race/ethnicity | ||
| Black, non-Hispanic | 89 | (8.5) |
| Hispanic or Latino | 146 | (13.9) |
| White, non-Hispanic | 740 | (70.4) |
| Other or multiple races | 65 | (6.2) |
| Health insurance | ||
| None | 59 | (5.6) |
| Private only | 781 | (74.3) |
| Public only | 152 | (14.5) |
| Other or multiple insurance | 53 | (5.0) |
| Food insecure past 12 months | ||
| No | 891 | (84.8) |
| Yes | 155 | (14.8) |
| Population density | ||
| Urban | 452 | (43.0) |
| Suburban | 222 | (21.1) |
| Small/medium metropolitan | 281 | (26.7) |
| Rural | 94 | (8.9) |
| Region | ||
| Northeast | 187 | (17.8) |
| Midwest | 194 | (18.5) |
| South | 427 | (40.6) |
| West | 241 | (22.9) |
| US Territories | 2 | (0.2) |
| Local COVID-19 measures | ||
| No | 1 | (0.1) |
| Yes | 1050 | (99.9) |
| Self-reported HIV status | ||
| Positive | 122 | (11.6) |
| Negative or unknown | 929 | (88.4) |
| Symptoms in Past 24 h | ||
| No symptoms | 654 | (62.2) |
| Fever | 9 | (0.9) |
| Cough | 170 | (16.2) |
| Shortness of breath | 47 | (4.5) |
| Muscle aches | 46 | (4.4) |
| Diarrhea | 59 | (5.6) |
| Other (Less Likely COVID-19)a | 270 | (25.7) |
| Close contact with someone with COVID-19 | ||
| No | 731 | (69.6) |
| Yes | 36 | (3.4) |
| Don't know | 279 | (26.6) |
| COVID-19 diagnosis | ||
| No | 1046 | (99.5) |
| Yes | 1 | (0.1) |
aOther symptoms included sneezing, sore throat and feeling of being unwell
General COVID-19 impacts among United States men who have sex with men who participated in a COVID-19 Impact Survey, American Men's Internet Survey, 2020
| All participants (N = 1051) | Participants 15 to 24 years (N = 214) | Participants 25 + years (N = 837) | PR (CI)a | ||||
|---|---|---|---|---|---|---|---|
| n | (%) | n | (%) | n | (%) | ||
| Quality of life | |||||||
| Decreased/less | 729 | (69.4) | 152 | (71.0) | 577 | (68.9) | 1.03 (0.93, 1.13) |
| No change | 275 | (26.2) | 50 | (23.4) | 225 | (26.9) | Ref. |
| Increased/more | 46 | (4.4) | 12 | (5.6) | 34 | (4.1) | |
| Anxiety | |||||||
| Decreased/less | 36 | (3.4) | 13 | (6.1) | 23 | (2.7) | Ref. |
| No change | 248 | (23.6) | 49 | (22.9) | 199 | (23.8) | |
| Increased/more | 764 | (72.7) | 150 | (70.1) | 614 | (73.4) | 0.96 (0.88, 1.06) |
| Quality of sleep | |||||||
| Decreased/less | 389 | (37.0) | 79 | (36.9) | 310 | (37.0) | 1.00 (0.82, 1.21) |
| No change | 530 | (50.4) | 92 | (43.0) | 438 | (52.3) | Ref. |
| Increased/more | 131 | (12.5) | 43 | (20.1) | 88 | (10.5) | |
| Feeling connected to family | |||||||
| Decreased/less | 313 | (29.8) | 64 | (29.9) | 249 | (29.7) | 1.00 (0.80, 1.26) |
| No change | 482 | (45.9) | 84 | (39.3) | 398 | (47.6) | Ref. |
| Increased/more | 254 | (24.2) | 66 | (30.8) | 188 | (22.5) | |
| Feeling connected to friends | |||||||
| Decreased/less | 590 | (56.1) | 133 | (62.1) | 457 | (54.6) | |
| No change | 293 | (27.9) | 57 | (26.6) | 236 | (28.2) | Ref. |
| Increased/more | 165 | (15.7) | 24 | (11.2) | 141 | (16.8) | |
| Access to food or money | |||||||
| Decreased/less | 466 | (44.3) | 109 | (50.9) | 357 | (42.7) | |
| No change | 547 | (52.1) | 90 | (42.1) | 457 | (54.6) | Ref. |
| Increased/more | 37 | (3.5) | 15 | (7.0) | 22 | (2.6) | |
| Difficulty buying food | |||||||
| Decreased/less | 45 | (4.3) | 9 | (4.2) | 36 | (4.3) | Ref. |
| No change | 508 | (48.3) | 98 | (45.8) | 410 | (49.0) | |
| Increased/more | 495 | (47.1) | 107 | (50.0) | 388 | (46.4) | 1.07 (0.92, 1.25) |
| Difficulty paying rent | |||||||
| Decreased/less | 23 | (2.2) | 4 | (1.9) | 19 | (2.3) | Ref. |
| No change | 841 | (80.0) | 154 | (72.0) | 687 | (82.1) | |
| Increased/more | 182 | (17.3) | 55 | (25.7) | 127 | (15.2) | |
| Access or stability of internet | |||||||
| Decreased/less | 126 | (12.0) | 35 | (16.4) | 91 | (10.9) | |
| No change | 864 | (82.2) | 167 | (78.0) | 697 | (83.3) | Ref. |
| Increased/more | 57 | (5.4) | 12 | (5.6) | 45 | (5.4) | |
| Number of paid work hours | |||||||
| Decreased/less | 340 | (32.4) | 107 | (50.0) | 233 | (27.8) | |
| No change | 653 | (62.1) | 96 | (44.9) | 557 | (66.5) | Ref. |
| Increased/more | 50 | (4.8) | 10 | (4.7) | 40 | (4.8) | |
| Need to support family or partners who lost job | |||||||
| Decreased/less | 36 | (3.4) | 11 | (5.1) | 25 | (3.0) | Ref. |
| No change | 799 | (76.0) | 165 | (77.1) | 634 | (75.7) | |
| Increased/more | 212 | (20.2) | 38 | (17.8) | 174 | (20.8) | 0.85 (0.62, 1.17) |
| Lost job | |||||||
| No | 828 | (78.8) | 139 | (65.0) | 689 | (82.3) | Ref. |
| Yes, COVID-related | 201 | (19.1) | 69 | (32.2) | 132 | (15.8) | |
| Yes, other reason | 21 | (2.0) | 6 | (2.8) | 15 | (1.8) | – |
| Lost health insurance | |||||||
| No | 1001 | (95.2) | 202 | (94.4) | 799 | (95.5) | Ref. |
| Yes, COVID-related | 20 | (1.9) | 6 | (2.8) | 14 | (1.7) | 1.68 (0.65, 4.31) |
| Yes, other reason | 29 | (2.8) | 6 | (2.8) | 23 | (2.7) | – |
| Homeless or Moved in with Friend because can't pay housing cost | |||||||
| No | 1020 | (97.1) | 206 | (96.3) | 814 | (97.3) | Ref. |
| Yes, COVID-related | 15 | (1.4) | 5 | (2.3) | 10 | (1.2) | 1.95 (0.67, 5.65) |
| Yes, other reason | 15 | (1.4) | 3 | (1.4) | 12 | (1.4) | – |
aPrevalence ratios (PR) with 95% confidence intervals (CI) are from bivariate modified Poisson regression models testing associations between age group and outcome. Bold indicates significant at P < 0.05
Sexual health and substance use COVID-19 impacts among United States men who have sex with men who participated in a COVID-19 Impact Survey, American Men's Internet Survey, 2020
| All participants (N = 1051) | Participants 15 to 24 years (N = 214) | Participants 25 + years (N = 837) | PR (CI)a | ||||
|---|---|---|---|---|---|---|---|
| n | (%) | n | (%) | n | (%) | ||
| Number of sex partners | |||||||
| Decreased/less | 539 | (51.3) | 97 | (45.3) | 442 | (52.8) | 0.86 (0.73, 1.00) |
| No change | 500 | (47.6) | 114 | (53.3) | 386 | (46.1) | Ref. |
| Increased/more | 9 | (0.9) | 3 | (1.4) | 6 | (0.7) | |
| Opportunities to have sex | |||||||
| Decreased/less | 715 | (68.0) | 148 | (69.2) | 567 | (67.7) | 1.01 (0.91, 1.12) |
| No change | 282 | (26.8) | 55 | (25.7) | 227 | (27.1) | Ref. |
| Increased/more | 45 | (4.3) | 11 | (5.1) | 34 | (4.1) | |
| Use of dating/hook-up apps to connect with other men | |||||||
| Decreased/less | 369 | (35.1) | 65 | (30.4) | 304 | (36.3) | 0.93 (0.75, 1.14) |
| No change | 522 | (49.7) | 102 | (47.7) | 420 | (50.2) | Ref. |
| Increased/more | 157 | (14.9) | 47 | (22.0) | 110 | (13.1) | |
| Use of dating/hook-up apps to meet men in person | |||||||
| Decreased/less | 513 | (48.8) | 101 | (47.2) | 412 | (49.2) | 0.95 (0.82, 1.11) |
| No change | 472 | (44.9) | 101 | (47.2) | 371 | (44.3) | Ref. |
| Increased/more | 61 | (5.8) | 12 | (5.6) | 49 | (5.9) | 0.91 (0.50, 1.65) |
| Access to condoms | |||||||
| Decreased/less | 99 | (9.4) | 34 | (15.9) | 65 | (7.8) | |
| No change | 940 | (89.4) | 179 | (83.6) | 761 | (90.9) | Ref. |
| Increased/more | 5 | (0.5) | 1 | (0.5) | 4 | (0.5) | |
| Use of condoms | |||||||
| Decreased/less | 57 | (5.4) | 15 | (7.0) | 42 | (5.0) | 1.39 (0.79, 2.45) |
| No change | 976 | (92.9) | 196 | (91.6) | 780 | (93.2) | Ref. |
| Increased/more | 8 | (0.8) | 2 | (0.9) | 6 | (0.7) | |
| Use of recreational drugs | |||||||
| Decreased/less | 71 | (6.8) | 19 | (8.9) | 52 | (6.2) | Ref. |
| No change | 863 | (82.1) | 156 | (72.9) | 707 | (84.5) | |
| Increased/more | 104 | (9.9) | 39 | (18.2) | 65 | (7.8) | |
| Alcohol consumption | |||||||
| Decreased/less | 106 | (10.1) | 29 | (13.6) | 77 | (9.2) | Ref. |
| No change | 658 | (62.6) | 118 | (55.1) | 540 | (64.5) | |
| Increased/more | 273 | (26.0) | 67 | (31.3) | 206 | (24.6) | |
aPrevalence ratios (PR) with 95% confidence intervals (CI) are from bivariate modified Poisson regression models testing associations between age group and outcome. Bold indicates significant at P < 0.05
COVID-19 as a barrier for HIV/STI prevention among United States men who have sex with men who participated in a COVID-19 Impact Survey, American Men's Internet Survey, 2020
| All participants (N = 1051) | Participants 15 to 24 years (N = 214) | Participants 25 + years (N = 837) | PR (CI)a | ||||
|---|---|---|---|---|---|---|---|
| n | (%) | n | (%) | n | (%) | ||
| Total | |||||||
| Access to STI testing or treatment | |||||||
| Decreased/less | 267 | (25.4) | 76 | (35.5) | 191 | (22.8) | |
| No change | 771 | (73.4) | 138 | (64.5) | 633 | (75.6) | Ref. |
| Increased/more | 3 | (0.3) | 0 | (0.0) | 3 | (0.4) | |
| Trouble getting an STI test | |||||||
| No | 324 | (30.8) | 53 | (24.8) | 271 | (32.4) | Ref. |
| Yes | 49 | (4.7) | 15 | (7.0) | 34 | (4.1) | |
| Haven't tried to get | 678 | (64.5) | 146 | (68.2) | 532 | (63.6) | – |
| Access to HIV testingb | |||||||
| Decreased/less | 175 | (18.8) | 47 | (22.6) | 128 | (17.8) | 1.26 (0.94, 1.69) |
| No change | 712 | (76.8) | 154 | (74.0) | 558 | (77.4) | Ref. |
| Increased/more | 2 | (0.2) | 0 | (0.0) | 2 | (0.3) | |
| Getting an HIV testb | |||||||
| Decreased/less | 142 | (15.3) | 38 | (18.3) | 104 | (14.4) | 1.24 (0.89, 1.74) |
| No change | 733 | (78.9) | 162 | (77.9) | 571 | (79.2) | Ref. |
| Increased/more | 5 | (0.5) | 0 | (0.0) | 5 | (0.7) | |
| Trouble getting an HIV testb | |||||||
| No | 234 | (25.2) | 45 | (21.6) | 189 | (26.2) | Ref. |
| Yes | 52 | (5.6) | 14 | (6.7) | 38 | (5.3) | 1.42 (0.82, 2.44) |
| Haven't tried to get | 626 | (67.4) | 146 | (70.2) | 480 | (66.6) | – |
| Trouble getting A PrEP prescriptionc | |||||||
| No | 140 | (54.9) | 21 | (61.8) | 119 | (53.8) | Ref. |
| Yes | 18 | (7.1) | 1 | (2.9) | 17 | (7.7) | 0.36 (0.05, 2.60) |
| Haven't tried to get | 46 | (18.0) | 4 | (11.8) | 42 | (19.0) | – |
| Trouble getting PrEP medicationsc | |||||||
| No | 138 | (54.1) | 16 | (47.1) | 122 | (55.2) | – |
| Yes | 12 | (4.7) | 0 | (0.0) | 12 | (5.4) | – |
| Haven't tried to get | 54 | (21.2) | 10 | (29.4) | 44 | (19.9) | – |
aPrevalence ratios (PR) with 95% confidence intervals (CI) are from bivariate modified Poisson regression models testing associations between age group and outcome. Bold indicates significant at P < 0.05
bAmong participants who did not report being HIV-positive
cAmong participants on PrEP, PR could not be calculated
COVID-19 as a barrier for HIV treatment among United States men who have sex with men living with HIV infection who participated in a COVID-19 Impact Survey, American Men's Internet Survey, 2020
| All participants (N = 122) | ||
|---|---|---|
| n | (%) | |
| Getting HIV care visits | ||
| Decreased/less | 33 | (27.0) |
| No change | 86 | (70.5) |
| Increased/more | 1 | (0.8) |
| Trouble making or keeping HIV appointments | ||
| No | 68 | (55.7) |
| Yes | 24 | (19.7) |
| Haven't tried to get | 29 | (23.8) |
| Getting viral loads or other labs | ||
| Decreased/less | 29 | (23.8) |
| No change | 88 | (72.1) |
| Increased/more | 3 | (2.5) |
| Access to HIV medications | ||
| Decreased/less | 7 | (5.7) |
| No change | 112 | (91.8) |
| Increased/more | 2 | (1.6) |
| Trouble getting an ART prescription | ||
| No | 95 | (77.9) |
| Yes | 10 | (8.2) |
| Haven't tried to get | 15 | (12.3) |
| Trouble getting ART medications | ||
| No | 100 | (82.0) |
| Yes | 8 | (6.6) |
| Haven't tried to get | 13 | (10.7) |
| Taking HIV medications daily | ||
| Decreased/less | 6 | (4.9) |
| No change | 111 | (91.0) |
| Increased/more | 4 | (3.3) |