Table 1.
White | African- American | Other* | Total | |||||
---|---|---|---|---|---|---|---|---|
N=825 | % | N=552 | % | N=75 | % | N=1452 | % | |
Sex | ||||||||
Male | 725 | 88 | 384 | 70 | 63 | 84 | 1172 | 81 |
Female | 100 | 12 | 168 | 30 | 12 | 16 | 280 | 19 |
Age in years | ||||||||
< 40 | 249 | 30 | 197 | 36 | 31 | 41 | 477 | 33 |
40–49 | 355 | 43 | 211 | 38 | 30 | 40 | 596 | 41 |
≥50 | 221 | 27 | 144 | 26 | 14 | 19 | 379 | 26 |
CD4+ nadir (cells/mm3)† | ||||||||
< 200 | 478 | 58 | 335 | 61 | 49 | 65 | 862 | 59 |
200–350 | 214 | 26 | 135 | 24 | 17 | 23 | 366 | 25 |
>350 | 133 | 16 | 82 | 15 | 9 | 12 | 224 | 15 |
Depression severity as defined by the PHQ-9 | ||||||||
None (0–4) | 439 | 53 | 388 | 70 | 40 | 53 | 867 | 60 |
Mild (5–9) | 158 | 19 | 85 | 15 | 17 | 23 | 260 | 18 |
Moderate (10–19) | 178 | 22 | 64 | 12 | 14 | 19 | 256 | 18 |
Severe (≥20) | 50 | 6 | 15 | 3 | 4 | 5 | 69 | 5 |
Recent substance use (prior 3 months) | ||||||||
No | 704 | 85 | 492 | 89 | 56 | 75 | 1252 | 86 |
Yes | 121 | 15 | 60 | 11 | 19 | 25 | 200 | 14 |
HIV transmission risk factor‡ | ||||||||
MSM | 510 | 62 | 195 | 35 | 37 | 49 | 742 | 51 |
IVDU | 154 | 19 | 52 | 9 | 14 | 19 | 220 | 15 |
Heterosexual contact | 120 | 15 | 248 | 45 | 18 | 24 | 386 | 27 |
Other/Unknown | 41 | 5 | 57 | 10 | 6 | 8 | 104 | 7 |
American Indian (n=15), Asian-American (n=14), Hawaiian (n=7), Multiracial (n=7), Other or unknown (n=32).
Due to the skewed distribution, we used categories of <200, 200–299, and ≥300 for DIF analyses.
We analyzed this covariate as MSM vs. other to identify items with DIF, though we plot values of cumulative DIF impact for each of these groups separately in Figure 5.
PHQ-9 = Patient Health Questionnaire. MSM = men who have sex with men. IVDU = intravenous drug use. Percentages may add up to more than 100% due to rounding.