Table 5.
Logistic regression summary for variables associated with HIV antiretroviral adherence (n = 1455)
| |
|
|
|
95% CI, Odds ratio |
|
|---|---|---|---|---|---|
| Predictor | B (SE) | Wald | Odds Ratio | Lower | Upper |
| Block 1: Individual Level Demographic Characteristics (X2 = 44.44, df = 9, p < .001) | |||||
| Gender |
-.156 (.096) |
2.642 |
.855 |
.708 |
1.033 |
| Age |
.016 (.007) |
5.453* |
1.016 |
1.003 |
1.030 |
| Ancestrya |
|
30.577** |
|
|
|
| Asian/Pacific Islander (n = 39) |
.055 (.472) |
.013 |
1.056 |
.419 |
2.663 |
| African American/black (n = 581) |
.153 (.335) |
.207 |
1.165 |
.604 |
2.248 |
| Hispanic/Latino(a) (n = 343) |
.722 (.349) |
4.270* |
2.058 |
1.038 |
4.080 |
| Native American Indian (n = 47) |
.060 (.460) |
.017 |
1.061 |
.431 |
2.616 |
| White/anglo (non-Hispanic) (n = 398) |
.859 (.337) |
6.498* |
2.361 |
1.220 |
4.570 |
| Education |
-.033 (.054) |
.364 |
.968 |
.870 |
1.077 |
| Year diagnosed with HIV |
.011 (.008) |
1.750 |
1.011 |
.995 |
1.027 |
| Block 2: Social Network Resources (X2 = 25.35, df = 1, p < .001) | |||||
| Perceived Social Capital |
.517 (.104) |
24.834** |
1.676 |
1.368 |
2.054 |
| Block 3: HIV Legal Context (X2 = 10.66, df = 6, p = .093) | |||||
| HIV Prosecutions |
-.003 (.004) |
.418 |
.997 |
.989 |
1.006 |
| HIV Exposure/Transmission Law |
-.176 (.257) |
.469 |
.838 |
.506 |
1.388 |
| HIV Sentencing Enhanced |
-.005 (.149) |
.001 |
.995 |
.742 |
1.334 |
| Other Disease Exposure/Transmission Law |
.118 (.160) |
.543 |
1.125 |
.823 |
1.538 |
| HIV Disclosure Law |
.321 (.166) |
3.726* |
1.379 |
.995 |
1.911 |
| HIV Reporting Law |
.200 (.322) |
.385 |
1.221 |
.650 |
2.295 |
| Constant, overall model | −24.500 (16.569) | 2.186 | |||
Note: Model X2 = 80.66, df = 16, p < .001); Nagelkerke R2 = .072; percent correctly classified = 60%; pmeter values reported are from the final logistic regression model; areference category for ancestry is other (n = 47); * p ≤ .05; ** = p < .01.