Table 1. Demographic, behavioral, and clinical characteristics of adolescent female study participants from the REACH cohort.
| Variable | HIV-1-positive | HIV-1-negative | OR (95% CI) |
| Number of patients | N = 262 | N = 134 | - |
| Age, years1 | 16.8 (1.1) | 16.6 (1.2) | - |
| Number of visits per patient1 | 11.0 (4.88) | 8.7 (4.36)† | - |
| Number of visits per patient with measured HPV status1 | 5.6 (2.5) | 4.7 (2.6) † | - |
| Race2African AmericansCaucasiansOthers | 206 (78.6%)15 (5.7%)41 (15.6)% | 92 (68.7%)12 (9.0%)30 (22.4%) | 1.79 (0.81–3.98)‡Referent1.09 (0.45–2.67) |
| Baseline CD4+ T cell count, cells/mm3 1 | 535.2 (263.6) | 896.5 (258.9)† | - |
| Number of lifetime sexual partners2<66–15>15 | 81 (30.9%)104 (39.7%)77 (29.4%) | 54 (40.3%)43 (32.1%)37 (27.6%) | Referent1.61 (0.98–2.85)1.39 (0.82–2.34) |
| Ever smoked cigarettes2Never smokedSmoked (≥100 cigarettes) | 33 (12.6%)205 (78.2%) | 20 (14.9%)101 (75.4%) | 0.81 (0.44–1.49)Referent |
| Trichomonas infection2NegativePositive | 219 (83.6%)34 (13.0%) | 128 (95.5%)†2 (1.5%) | Referent9.93 (2.35–42.03) ‡ |
| Gonorrhea infection2NegativePositive | 208 (79.4%)22 (8.4%) | 104 (77.6%)9 (6.7%) | Referent1.22 (0.54–2.75) |
| Chlamydia infection2NegativePositive | 182 (69.5%)50 (19.1%) | 90 (67.2%)26 (19.4%) | Referent0.95 (0.56–1.62) |
| HIV VL, logarithm 1 | 3.44 (1.01) | - | - |
| Currently taking ART medications2Not on ART drugsMono or combination therapy without PICombo therapy with PI | 125 (47.7%)101 (38.5%)35 (13.4%) | - | - |
| ART therapy ever used2No ART was usedMono or combination therapy without PICombo therapy with PIART regimen unknown | 98 (37.4%)105 (40.0%)57 (21.8%)2 (0.8%) | - | - |
Notes: 1 – results are presented as mean (SD); 2 – number of cases (percent);
†
– p<0.05 for the difference between HIV-1-positive and HIV-1-negative: continuous variables were analyzed by general linear model, and categorical were analyzed by chi-square;
‡
– p<0.05 for the difference with the referent group; continuous variables were analyzed by general linear model, and categorical were analyzed by PROC LOGISTIC.