Table 3.
Differences in HIV non-viral load suppression (<200copies/mL) in 2015 by Black-White race and country of birth among Latinos aged 13 years and older diagnosed with HIV 2000–2014 in Florida.
Model 1 | Model 2 | Model 3 | |||
---|---|---|---|---|---|
All Latinos | Total, n | Not virally suppressed, n (%) | Crude OR for non-viral suppression (95% CI) | Adjusted OR for non-viral suppression (95% CI) | Adjusted OR for non-viral suppression (95% CI) |
Race | |||||
Black | 740 | 299 (40.4) | 1.23 (1.05–1.43) | 1.19 (1.04–1.37) | 1.16 (0.98–1.36) |
White | 11366 | 4049 (35.6) | Referent | Referent | Referent |
Country of birth | |||||
United States | 4276 | 1595 (37.3) | Referent | Referent | Referent |
Puerto Rico | 1153 | 437 (37.9) | 1.03 (0.90–1.17) | 1.02 (0.89–1.17) | 1.02 (0.89–1.18) |
Mexico | 842 | 444 (52.7) | 1.88 (1.62–2.18) | 1.87 (1.60–2.19) | 1.85 (1.57–2.17) |
Cuba | 2618 | 595 (22.7) | 0.50 (0.44–0.55) | 0.58 (0.52–0.66) | 0.56 (0.50–0.64) |
Central America | 1284 | 556 (43.3) | 1.28 (1.13–1.46) | 1.36 (1.19–1.55) | 1.28 (1.12–1.47) |
South America | 1933 | 721 (37.3) | 1.00 (0.90–1.12) | 1.10 (0.98–1.24) | 1.07 (0.95–1.21) |
Central American and U.S. born | Total, n | Not virally suppressed, n (%) | Crude OR for non-viral suppression (95% CI) | Adjusted OR for non-viral suppression (95% CI) | Adjusted OR for non-viral suppression (95% CI) |
Country of birth | |||||
United States | 4276 | 1595 (37.3) | Referent | Referent | Referent |
Costa Rica | 56 | 23 (41.1) | 1.17 (0.69–2.00) | 1.28 (0.74–2.22) | 1.25 (0.71–2.18) |
Guatemala | 248 | 141 (56.9) | 2.22 (1.71–2.89) | 2.29 (1.74–3.07) | 2.20 (1.66–2.92) |
Honduras | 496 | 227 (45.8) | 1.41 (1.18–1.71) | 1.52 (1.25–1.85) | 1.42 (1.16–1.74) |
Nicaragua | 299 | 103 (34.5) | 0.88 (0.69–1.13) | 1.01 (0.78–1.30) | 0.94 (0.73–1.23) |
Panama | 77 | 22 (28.6) | 0.67 (0.41–1.11) | 0.78 (0.47–1.30) | 0.77 (0.46–1.29) |
El Salvador | 111 | 43 (38.7) | 1.06 (0.72–1.57) | 1.06 (0.71–1.58) | 1.03 (0.68–1.54) |
OR, odds ratio; CI, confidence interval; Model 1: Crude rates; Model 2: Controlling for individual-level variables; Model 3: Controlling for individual-level variables and neighborhood-level variables.