Table 6. Logistic regression analysis of the effect of HIV/AIDS prevention program components on condom use with regular partners among 520 young factory workers (aged 18–24), controlling for individual socio-demographic characteristics.
Independent variables | B | S.E. | Wald | df | Sig. | Exp(B) | 95.0% C.I. for EXP(B) | |
---|---|---|---|---|---|---|---|---|
Lower | Upper | |||||||
Age | −.079 | .063 | 1.545 | 1 | .214 | .924 | .816 | 1.047 |
Gender | ||||||||
Male | .602 | .235 | 6.562 | 1 | .010 | 1.826 | 1.152 | 2.895 |
Female (reference) | – | – | – | – | – | – | – | – |
Education | ||||||||
Higher than high school | −.512 | .251 | 4.154 | 1 | .042 | .599 | .366 | .981 |
High school and lower (reference) | – | – | – | – | – | – | – | – |
Marital status | ||||||||
Married and ever-married | −.1.922 | .260 | 54.526 | 1 | .000 | .146 | .088 | .244 |
Single (reference) | – | – | – | – | – | – | – | – |
HIV/AIDS workplace prevention program: | .221 | .108 | 4.210 | 1 | .040 | 1.247 | 1.010 | 1.540 |
Management and services component | ||||||||
HIV/AIDS workplace prevention program: Training component | .139 | .108 | 1.667 | 1 | .197 | 1.149 | .931 | 1.419 |
Constant | 1.420 | 1.364 | 1.084 | 1 | .298 | 4.136 | ||
−2 Log likelihood | 499.395 | |||||||
Cox and Snell R square | .185 | |||||||
Nagelkerke R square | .269 |