Table 1. Measures from the American Men’s Internet Survey of US men who have sex with men, 2019 and 2020.
| New York City (NYC) | Metro Atlanta (ATL) | Significance tests | |||||||
|---|---|---|---|---|---|---|---|---|---|
| 2019 | 2020 | 2019 | 2020 | NYC-19 vs. ATL-19 | NYC-19 vs. NYC-20 |
ATL-19 vs. ATL-20 | NYC-20 vs. ATL-20 | ||
| N | 292 | 385 | 433 | 360 | |||||
| Age | 15–24 | 90 (30.8%) | 122 (31.7%) | 126 (29.1%) | 113 (31.4%) | P = 0.67 | P = 0.59 | P = 0.04 | |
| 25–54 | 171 (58.6%) | 218 (56.6%) | 267 (61.7%) | 196 (54.4%) | |||||
| 55+ | 31 (10.6%) | 45 (11.7%) | 40 (9.2%) | 51 (14.2%) | |||||
| Race/ethnicity | NH Black | 78 (27.5%) | 78 (21%) | 203 (47.9%) | 147 (41.6%) | P<0.01 | P = 0.29 | P = 0.15 | |
| Hisp/Latinx | 63 (22.2%) | 92 (24.8%) | 46 (10.8%) | 32 (9.1%) | |||||
| NH White | 123 (43.3%) | 171 (46.1%) | 148 (34.9%) | 151 (42.8%) | |||||
| Other | 20 (7.0%) | 30 (8.1%) | 27 (6.4%) | 23 (6.5%) | |||||
| Diag. with HIV | 43 (14.7%) | 44 (11.4%) | 101 (23.3%) | 62 (17.2%) | P = 0.01 | P = 0.25 | P = 0.04 | ||
| Num. AI partners | 0 | 24 (8.8%) | 40 (10.5%) | 51 (12.5%) | 45 (12.7%) | P = 0.21a | P = 0.10 a | P = 0.02 a | |
| 1 | 57 (20.8%) | 105 (27.6%) | 86 (21.1%) | 104 (29.3%) | |||||
| 2–5 | 113 (41.2%) | 131 (34.5%) | 166 (40.8%) | 137 (38.6%) | |||||
| 6+ | 80 (29.2%) | 104 (27.4%) | 104 (25.6%) | 69 (19.4%) | |||||
| 90th quantile | 15 | 15 | 15 | 10 | |||||
| Prop. of those with one AI partner for whom it is a main partner |
71.8% | 79.4% | 64.9% | 82.5% | P = 0.59 | P = 0.53 | P = 0.02 | ||
| Num. CAI partners | 0 | 84 (30.8%) | 103 (27.6%) | 103 (25.4%) | 110 (31.2%) | P = 0.30 a | P = 0.96 a | P = 0.01 a | |
| 1 | 66 (24.2%) | 114 (30.6%) | 110 (27.1%) | 104 (29.5%) | |||||
| 2–5 | 77 (28.2%) | 91 (24.4%) | 128 (31.5%) | 100 (28.3%) | |||||
| 6+ | 46 (16.8%) | 65 (17.4%) | 65 (16.0%) | 39 (11.0%) | |||||
| 90th quantile | 10 | 11.6 | 9 | 6 | |||||
| Any discordant CAI | 29.8% | 25.2% | 32.8% | 30.2% | P = 0.44 | P = 0.21 | P = 0.50 | ||
| Impact of COVID on # of sexual partners | Decreased | 144 (64.6%) | 83 (41.7%) | P = 0.03 b | |||||
| Same | 70 (31.4%) | 102 (51.3%) | |||||||
| Increased | 9 (4.0%) | 14 (7.0%) | |||||||
| Impact of COVID on use of condoms | Decreased | 18 (8.1%) | 13 (6.6%) | P = 0.59 b | |||||
| Same | 197 (89.1%) | 178 (90.4%) | |||||||
| Increased | 6 (2.7%) | 6 (3.0%) | |||||||
| Impact of COVID on getting HIV tested | Decreased | 40 (22.2%) | 18 (12.1%) | P = 0.91 b | |||||
| Same | 137 (76.1%) | 127 (85.2%) | |||||||
| Increased | 3 (1.7%) | 4 (2.7%) | |||||||
a Applied to whole distribution, not to bin values, using Mann-Whitney U-tests.
b Uses Fisher’s exact test given the low numbers in at least one cell.
Comparisons use chi-squared tests unless otherwise noted.
Bold italics = difference of at least five percentage points across years within city.