Table 1 Multiple logistic regression results for sociodemographic, migration, and stress characteristics associated with smoking
From: Work stress, life stress, and smoking among rural–urban migrant workers in China
Model 1 | Model 2 (omits life tress) | |
|---|---|---|
Age (years) | OR (95% CI) | OR (95% CI) |
<20 | Reference | Reference |
20-24 | 1.35 (0.74-2.46) | 1.33 (0.74-2.42) |
25-29 | 1.60 (0.87-2.92) | 1.60 (0.88-2.94) |
30-34 | 2.18 (1.18-4.04)** | 2.22 (1.20-4.12)** |
35-39 | 2.36 (1.16-4.81)** | 2.38 (1.17-4.85)** |
40+ | 2.36 (1.171-4.92)** | 2.40 (1.16-4.93)** |
Occupation | ||
construction | Reference | Reference |
machinery and transportation | 0.38 (0.27-0.54)** | 0.37 (0.26-0.52)** |
textiles, electronics, and service | 0.55 (0.37-0.82)** | 0.52 (0.35-0.77)** |
business | 0.56 (0.33-0.990) | 0.56 (0.32-0.97)* |
other | 0.20 (0.07-0.58)** | 0.18 (0.06-0.53)** |
Length of stay in city each year (months) | ||
<5 | Reference | Reference |
5-8 | 2.77 (1.43-2.03)** | 1.74 (1.24-2.43)** |
≥9 | 1.41 (0.98-1.96) | 1.35 (0.96-1.91) |
Life stress | ||
low | Reference | |
high | 1.45 (1.05-2.06)* | |
Work stress | Not significant | |
low | Reference | |
high | 1.75 (1.26-2.45)** |