Linear regression modelling results identifying predictors of (ln transformed) DMSA chelatable lead concentrations in 779 Korean lead workers
| Independent variables (units of β coefficient) | β coefficient (SEM) | p Value |
| Model 1: without blood lead (adjusted r2 25.3%): | ||
| Intercept | 2.438 (0.301) | <0.001 |
| Age (μg2-150/y) | 0.033 (0.003) | <0.001 |
| Female (μg)2-150 | −0.914 (0.103) | <0.001 |
| Current smoker (μg)2-150 | 0.325 (0.079) | <0.001 |
| Body mass index (μg2-150/(kg/m2)) | 0.014 (0.011) | 0.22 |
| Creatinine clearance rate (μg2-150/(ml/min)) | 0.005 (0.001) | <0.001 |
| Model 2: with blood lead (adjusted r 281.6%): | ||
| Intercept | 3.499 (0.151) | <0.001 |
| Age (μg2-150/y) | 0.007 (0.002) | <0.001 |
| Female (μg)2-150 | 0.102 (0.055) | 0.065 |
| Current smoker (μg)2-150 | 0.134 (0.039) | <0.001 |
| Body mass index (μg2-150/(kg/m2)) | 0.019 (0.006) | <0.001 |
| Creatinine clearance rate (μg2-150/(ml/min)) | 0.005 (0.0005) | <0.001 |
| Blood lead (μg2-150/(μg/dl)) | 0.064 (0.001) | <0.001 |
| Blood lead squared (μg2-150/(μg/dl)2)2-151 | −6.6×10−4(0.6×10−4) | <0.001 |