3-1 Results of multiple logistic regression analysis using only demographic variables to predict considerably decreased stigma* | ||||||
---|---|---|---|---|---|---|
Variables | Coefficients | Std. error | P | Odds ratio | 95% CI | |
 |  |  |  |  | Lower | Upper |
Employment status | Â | Â | Â | Â | Â | Â |
   Full-time | 0.512 | 0.224 | 0.022 | 1.669 | 1.077 | 2.587 |
   Part-time | 0.640 | 0.255 | 0.012 | 1.897 | 1.151 | 3.125 |
   Other** |  |  | 0.032 |  |  |  |
Occupation | Â | Â | Â | Â | Â | Â |
   Production labor service** |  |  | 0.004 |  |  |  |
   Transportation and communication | 0.716 | 0.298 | 0.016 | 2.045 | 1.141 | 3.666 |
   Sales and marketing | 0.189 | 0.215 | 0.380 | 1.208 | 0.792 | 1.840 |
   Service industry | 0.442 | 0.237 | 0.062 | 1.557 | 0.978 | 2.478 |
   Professional | 0.366 | 0.195 | 0.061 | 1.442 | 0.984 | 2.115 |
   Homemaker | 0.689 | 0.280 | 0.014 | 1.992 | 1.151 | 3.448 |
   Others | −0.463 | 0.295 | 0.117 | 0.629 | 0.353 | 1.123 |
Constant | −0.752 | 0.246 | 0.002 | 0.472 |  |  |
3-2 Results of multiple logistic regression analysis using the significant demographic variables and four measures at pre-evaluation to predict considerably decreased stigma* | ||||||
Variables | Coefficients | Std. error | P | Odds ratio | 95% CI | |
 |  |  |  |  | Lower | Upper |
Employment status | Â | Â | Â | Â | Â | Â |
   Full-time | 0.315 | 0.170 | 0.064 | 1.370 | 0.982 | 1.912 |
   Part-time | 0.564 | 0.231 | 0.015 | 1.758 | 1.117 | 2.767 |
   Other** |  |  | 0.037 |  |  |  |
Knowledge score | −0.150 | 0.061 | 0.015 | 0.861 | 0.763 | 0.971 |
Pre-program Link’s Devaluation-Discrimination Scale | 0.359 | 0.024 | <0.001 | 1.432 | 1.366 | 1.502 |
Social distance | −0.162 | 0.021 | <0.001 | 0.850 | 0.815 | 0.887 |
Constant | −8.576 | 0.890 | <0.001 | 0.000 |  |  |