Table 4 Results of binary logistic regression models by participants’ intentions to use antibiotics in cold
| Â | Model 1 OR(95%CI) | Model 2 OR(95%CI) | Model 3 OR(95%CI) |
|---|---|---|---|
Group | |||
 Non-IERPs | 1.00 | / | / |
 IERPs * Urban | 0.99 (0.81,1.20) | / | / |
 IERPs * Rural | 1.33 (1.13,1.58)** | / | / |
Group | |||
 Non-IERPs | / | 1.00 | / |
 IERPs * High-education | / | 0.66 (0.51,0.86)** | / |
 IERPs * Low-education | / | 1.43 (1.23,1.66)*** | / |
Group | |||
 Non-IERPs | / | / | 1.00 |
 IERPs * High-income | / | / | 1.03 (0.87,1.23) |
 IERPs * Low-income | / | / | 1.36 (1.13,1.64)** |
Residence | |||
 Rural | / | 1.00 | 1.00 |
 Urban | / | 0.70 (0.61,0.81)*** | 0.79 (0.68,0.91)** |
Education level | |||
 Low-education | 1.00 | / | 1.00 |
 High-education | 0.44 (0.38,0.53)*** | / | 0.46 (0.39,0.54)*** |
Household income per month | |||
 Low-income | 1.00 | 1.00 | / |
 High-income | 0.84 (0.71,0.99)* | 0.77 (0.65,0.90)** | / |