Table 2.
Percentage of Adults Receiving Health Care for HIV Who Perceived Discrimination and ORs from a Multivariate Logistic Regression Predicting Any Perceived Discrimination
| Characteristics* | %‡ | Adjusted OR (95% CI)†§ |
|---|---|---|
| Gender | P=.11 | P=.39 |
| Male | 26 | 1.0 |
| Female | 22 | 1.16 (0.82, 1.67) |
| Age (years) | P=.11 | P=.12 |
| 18 to 34 | 26 | 1.0 |
| 35 to 49 | 26 | 0.88 (0.71, 1.09) |
| 50+ | 20 | 0.72 (0.52, 1.01) |
| Race/ethnicity | P<.001 | P<.001 |
| African American | 17 | 0.45 (0.35, 0.58) |
| Latino | 21 | 0.62 (0.43, 0.89) |
| Other | 27 | 0.75 (0.42, 1.35) |
| White | 32 | 1.0 |
| Exposure/risk group∥ | P=.002 | P=.53 |
| MM/IDU | 31 | 1.11 (0.77, 1.58) |
| MM | 28 | 1.0 |
| IDU | 24 | 1.05 (0.79, 1.39) |
| Heterosexual | 20 | 0.97 (0.67, 1.40) |
| Other | 17 | 0.70 (0.45, 1.08) |
| Education | P<.001 | P=.01 |
| Less than high school | 19 | 1.0 |
| High school degree or greater | 27 | 1.45 (1.09, 1.91) |
| Insurance | P=.001 | P=.008 |
| No insurance | 18 | 1.09 (0.78, 1.52) |
| Medicaid | 25 | 1.37 (0.82, 2.31) |
| Private/HMO | 26 | 1.07 (0.68, 1.66) |
| Private | 25 | 1.0 |
| Medicare | 31 | 1.57 (1.18, 2.10) |
| CD4 count¶ | P=.04 | P=.08 |
| 0 to 49 | 27 | 0.92 (0.61, 1.40) |
| 50 to 199 | 28 | 0.96 (0.54, 1.70) |
| 200 to 499 | 21 | 0.73 (0.43, 1.22) |
| ≥500 | 25 | 1.0 |
| Date of first HIV-positive test# | P<.001 | 0.95 (0.93, 0.98) P=.001 |
| Prior to 1986 | 34 | |
| 1986 to 1989 | 31 | |
| 1990 to 1993 | 24 | |
| 1994 to 1996 | 20 |
Unweighted total n=2,417; weighted total n=215,100
ORs are adjusted for all variables in the table. For ease of interpretation, the ORs correspond to an increase of 10 units obtained by multiplying the original logistic regression coefficient (corresponding to an increase of one unit) by 10 and then exponentiating
P values come from a χ2 test for the cross tabulations
P values come from an F test
MM/IDU, men who had sex with men and were injection drug users; MM, men who had sex with men; IDU, injection drug users. The list is hierarchical, so a respondent who fits in more than one category is placed in the highest of those categories
Participants were asked to report their lowest ever CD4 count; if they did not know their exact count, they were asked whether their lowest count was >500, 200 to 499, 50 to 199, or <50/mm3
Date of first HIV+test is a continuous variable and is entered as a continuous variable in the regression; it is presented as a categorical variable for the bivariate analysis for ease of interpretation
OR, odds ratio; CI, confidence interval