Table 4
Linear regression modelling results identifying predictors of blood lead concentrations in 800 Korean lead workers (model adjusted r2 36.5%)
| Independent variables (units of β coefficient) | β coefficient (SEM) | p Value |
| Intercept (μg/dl) | 23.242 (2.170) | <0.001 |
| Age (μg/dl/y) | 0.272 (0.048) | <0.001 |
| Female (μg/dl) | −13.658 (1.136) | <0.001 |
| Current smoker (μg/dl) | 2.931 (1.063) | 0.006 |
| Tibia lead (μg/dl/(μg/g)) | 0.214 (0.018) | <0.001 |
| Tibia lead squared (μg/dl/(μg/g)2)4-150 | −6.95×10−4(1.1×10−4) | <0.001 |
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↵4-150 To account for non-linear associations.
