Table 1.
Demographic and behavioral characteristics of PrEP-using gay and bisexual men, New York City
| Total sample | Non-users, n = 51 | Club Drug2 Users, n = 53 | ||||||
|---|---|---|---|---|---|---|---|---|
| Categorical Variables | n | % | n | % | n | % | χ2 | p |
| Race/Ethnicity | ||||||||
| Black | 13 | 12.5 | 8 | 15.7 | 5 | 9.4 | 6.91 | 0.08 |
| Latino | 27 | 26.0 | 18 | 35.3 | 9 | 17.0 | ||
| White | 52 | 50.0 | 21 | 41.2 | 31 | 58.5 | ||
| Other/Multiracial | 12 | 11.5 | 4 | 7.8 | 8 | 15.1 | ||
| Race is non-White | ||||||||
| No | 52 | 50.0 | 30 | 58.8 | 22 | 41.5 | 3.12 | 0.08 |
| Yes | 52 | 50.0 | 21 | 41.2 | 31 | 58.5 | ||
| Education | ||||||||
| Less than Bachelor’s degree | 30 | 28.9 | 20 | 39.2 | 10 | 18.9 | 5.24 | 0.02 |
| Bachelor’s degree or more | 74 | 71.2 | 31 | 60.8 | 43 | 81.1 | ||
| Income | ||||||||
| Less than $50k per year | 60 | 57.7 | 35 | 68.6 | 25 | 47.2 | 4.90 | 0.03 |
| $50K or more per year Length of time on PrEP | 44 | 42.3 | 16 | 31.4 | 28 | 52.8 | ||
| 1–12 months | 66 | 63.5 | 32 | 62.8 | 34 | 64.2 | 0.02 | 0.88 |
| More than 1 year Missed any PrEP doses (past 90 days) |
38 | 36.5 | 19 | 37.3 | 19 | 35.9 | ||
| No | 41 | 39.4 | 20 | 39.2 | 21 | 39.6 | 0.00 | 0.97 |
| Yes | 63 | 60.6 | 31 | 60.8 | 32 | 60.4 | ||
| Marijuana Use (past 30 days) | ||||||||
| No | 47 | 45.2 | 28 | 54.9 | 19 | 35.9 | 3.81 | 0.05 |
| Yes | 57 | 54.8 | 23 | 45.1 | 34 | 64.2 | ||
| Heavy Alcohol Use (past 30 days)1 | ||||||||
| No | 30 | 28.9 | 20 | 39.2 | 10 | 18.9 | 5.24 | 0.02 |
| Yes | 74 | 71.2 | 31 | 60.8 | 43 | 81.1 | ||
| Continuous Variables | M | SD | M | SD | M | SD | OR | 95% CI |
| Age (range: 21–61 years old) | 32.5 | 8.7 | 34.2 | 9.9 | 30.8 | 7.0 | 0.95 | 0.91–1.00 |
Note. M = mean; SD = standard deviation; SE = standard error; OR = odds ratio; CI = confidence interval
1
five or more alcoholic drinks in one sitting
2
self-reported use of ketamine, MDMA/ecstasy, GHB, cocaine, and/or methamphetamine in the past 30 days. Percentages may not add to 100 due to rounding.