Table 5.
Results of multivariate linear regression modeling of stigma, overall and by gender
| Overall | Male | Female | ||||
|---|---|---|---|---|---|---|
| β | SE | β | SE | β | SE | |
| Age | -0.01 | 0.01 | -0.02 | 0.01 | -0.00 | 0.01 |
| Gender | -1.11+ | 0.52 | - | - | - | - |
| Immigration Status | 1.71* | 0.39 | 1.27+ | 0.56 | 2.45* | 0.49 |
| Income | 0.19 | 0.11 | 0.40+ | 0.18 | -0.19 | 0.14 |
| Education | -0.96* | 0.14 | -1.06* | 0.22 | -0.85* | 0.17 |
| Health Professional Status | -1.10* | 0.34 | -1.17 | 0.83 | -1.11* | 0.35 |
| Marital Status | 0.12 | 0.16 | -0.05 | 0.28 | 0.21 | 0.17 |
| Employment Status | -0.14 | 0.25 | -0.86 | 0.43 | 0.27 | 0.29 |
| Rural/Urban residence | -0.45 | 0.23 | -0.76+ | 0.35 | -0.11 | 0.28 |
| Case Recognition | -1.67* | 0.57 | -1.67* | 0.39 | -2.76* | 0.42 |
| Regression Model Significance | ||||||
| Overall: | F = 28.69 | P < 0.001 | R2 = 0.1602 | df = 11, 2367 | ||
| Male: | F = 8.06 | P < 0.001 | R2 = 0.0940 | df = 9, 928 | ||
| Female: | F = 13.63 | P < 0.001 | R2 = 0.1043 | df = 9, 1431 | ||
* p < 0.005, + p < 0.05. SE = Standard Error.