Table 2. Participant sociodemographic characteristics.
| Characteristic | Category | LYNX, n [%] | MyChoices, n [%] | YouTHrive, n [%] | P3, n [%] | TechStep, n [%] |
|---|---|---|---|---|---|---|
| Total N | – | 30 | 28 | 34 | 12 | 34 |
| Age, years | Mean [range] | 20 [15–24] | 20 [16–24] | 20 [15–24] | 21 [17–23] | 21 [17–24] |
| Race (not mutually exclusive) | Asian | 4 [13] | 3 [11] | 0 | 1 [8] | 2 [6] |
| Black or African American | 13 [43] | 11 [39] | 26 [76] | 5 [42] | 11 [32] | |
| White | 6 [20] | 14 [50] | 1 [3] | 5 [42] | 19 [56] | |
| Other | 6 [20] | 3 [11] | 8 [24] | 2 [16] | 9 [26] | |
| Don’t know/prefer not to answer/missing | 1 [3] | 2 [7] | 1 [3] | 0 | 0 | |
| Hispanic/Latino | Yes | 13 [43] | 7 [25] | 11 [32] | 4 [33] | 14 [41] |
| No | 17 [57] | 20 [71] | 22 [65] | 8 [67] | 18 [53] | |
| Prefer not to answer/missing | 0 | 1 [4] | 1 [3] | 0 | 2 [6] | |
| Sex at birth | Male | 30 [100] | 28 [100] | 26 [76] | 12 [100] | 9 [26] |
| Female | 0 | – | 8 [24] | – | 25 [74] | |
| Gender identity | Male | 29 [97] | 28 [100] | 23 [68] | 10 [83] | 2 [6] |
| Female | 0 | – | 8 [24] | 0 | 5 [15] | |
| Trans female/trans woman | 0 | – | 2 [6] | 1 [8] | 4 [12] | |
| Trans male/trans man | 0 | – | 0 | – | 12 [35] | |
| Genderqueer/gender nonconforming | 0 | – | 1 [3] | 1 [8] | 8 [24] | |
| Agender | – | – | – | – | 1 [3] | |
| Other | 1 [3] | – | – | 0 | 2 [6] | |
| HIV status | – | Negative | Negative | Positive | Negative | Negative |
| Highest level of education | Less than high school | 7 [23] | 4 [14] | 10 [29] | 1 [8] | 4 [11] |
| High school or GED | 11 [37] | 8 [29] | 12 [35] | 2 [17] | 5 [15] | |
| Some college or technical school | 8 [27] | 13 [46] | 9 [26] | 6 [50] | 20 [59] | |
| Finished college/tech school or more | 4 [13] | 3 [11] | 3 [9] | 3 [25] | 4 [12] | |
| Missing | 0 | 0 | 0 | 0 | 1 [3] |
Empty cells indicate category not relevant due to inclusion criteria. GED, General Educational Development.