Table 3 Multiple linear regression model of association of ln blood lead with exposure after adjusting for covariates (n = 429)
From: Levels of blood lead and urinary cadmium in industrial complex residents in Ulsan
Independent variables | β coefficient (Standardized β coefficient) | p value | Model | |
|---|---|---|---|---|
| Â | R2 | p value | ||
Age (Years) | 0.009 (0.363) | <0.001 | 0.260 | <0.001 |
Education level (College and more vs. High school and less) | −0.023 (−0.026) | 0.619 |  |  |
Drinking status (Yes vs. No) | −0.144 (−0.161) | <0.001 |  |  |
Smoking status (Yes vs. No) | 0.081 (0.086) | 0.159 | Â | Â |
Gender (Men vs. Women) | 0.198 (0.227) | <0.001 | Â | Â |
Exposure (Yes vs. No) | 0.088 (0.090) | 0.039 | Â | Â |
Distance to road (Under 100Â m vs. Above 100Â m) | 0.014 (0.016) | 0.711 | Â | Â |