Table 3.
Logistic regression of antibiotic use.
| Factors | Went to see a doctor N = 1182 OR (95% CI) |
Self-treated with antibiotics N = 533 OR (95% CI) |
Prescribed with antibiotics N = 375 OR (95% CI) |
|---|---|---|---|
| Province | |||
| Zhejiang (ref) | 1 | 1 | 1 |
| Guizhou | 1.04(0.77,1.41) | 3.00(1.84,4.90)*** | 2.95(1.68,5.18)*** |
| Age | 1.08(1.00,1.17) | 1.00(0.87,1.15) | 0.91(0.80,1.04) |
| Gender | |||
| Female (ref) | 1 | 1 | 1 |
| Male | 1.03(0.80,1.32) | 1.15(0.77,1.70) | 0.80(0.50,1.29) |
| Education level | |||
| Undergraduate (ref) | 1 | 1 | 1 |
| Graduate | 0.64(0.40,1.01) | 0.98(0.49,1.99) | 1.79(0.72,4.42) |
| Major | |||
| Non-medicine (ref) | 1 | 1 | 1 |
| Medicine | 0.78(0.55,1.11) | 0.57(0.31,1.02) | 0.49(0.26,0.93)* |
| Education level of parents | |||
| Illiteracy/primary school (ref) | 1 | 1 | 1 |
| Junior high school | 0.74(0.49,1.11) | 0.82(0.41,1.66) | 1.18(0.55,2.54) |
| Senior high school | 0.82(0.52,1.30) | 1.74(0.82,3.73) | 1.45(0.62,3.40) |
| University/above | 0.82(0.50,1.37) | 1.68(0.73,3.85) | 2.57(0.98,6.76) |
| Parent’s medical background | |||
| No (ref) | 1 | 1 | 1 |
| Yes | 0.65(0.38,1.12) | 3.01(1.66,5.47)*** | 0.86(0.30,2.46) |
| Household income per month | |||
| < 3000 (ref) | 1 | 1 | 1 |
| 3000 ~ 10,000 | 0.73(0.53,1.00) | 0.65(0.39,1.09) | 0.69(0.38,1.26) |
| > 10,000 | 0.68(0.44,1.05) | 0.66(0.33,1.31) | 0.57(0.25,1.30) |
| Hometown | |||
| Urban area (ref) | 1 | 1 | 1 |
| Rural area | 1.02(0.72,1.44) | 0.91(0.53,1.57) | 2.01(1.05,3.84)* |
*< 0.05; **< 0.01; ***< 0.001