Tab. III.
Multivariable logistic regression of factors associated with respondents reminding any smokers to stop smoking when they saw them violate smoke-free regulations.
| Predictors (N=923) | Reminding smokers to stop smoking |
|
|---|---|---|
| AOR | 95%CI | |
| Marital status | ||
| Never married | 1 | |
| Currently married | 2.51 | 1.64-3.84*** |
| Separate/Divorce/Widow | 2.25 | 1.14-4.42* |
| Education Level | ||
| Primary or less | 1 | |
| Lower secondary | 1.24 | 0.78-1.97 |
| Upper secondary | 0.80 | 0.47-1.36 |
| College or above | 1.70 | 1.03-2.79* |
| Economic status | ||
| Poorest quintile | 1 | |
| Second quintile | 0.87 | 0.48-1.53 |
| Middle quintile | 0.97 | 0.53-1.79 |
| Fourth quintile | 0.64 | 0.36-1.13 |
| Richest quintile | 0.52 | 0.29-0.93* |
| Awareness of penalty policy regulations in ban places | ||
| No | 1 | |
| Yes | 1.64 | 0.89-3.05 |
| Model fit indicators | ||
| p-value of model coefficients | 0.000 | |
| p-value [χ2(df) of Hosmer and Lemeshow] | 0.190 | |
| Nagelkerke’s R2 | 3.9% | |
AOR: adjusted odds ratio; CI: Confidence interval,
*p < 0.05,
**p < 0.01,
***p < 0.001.