Table 8 Multivariate linear regression –Lead and mercury interaction (Dependent variable: eGFR).

From: Association of whole blood heavy metal concentrations with kidney function

Variables

Multivariate Linear Regression

 

β Coefficient / 95%CI

p Value

Constant

139.796 (138.569 ~ 141.023)

< 0.001

Age

-0.764 (-0.774 ~ -0.754)

< 0.001

Sex

-1.033 (-1.362 ~ -0.704)

< 0.001

CRP

-0.047(-0.065 ~ -0.03)

< 0.001

Glucose

-0.051(-0.059~ -0.043)

< 0.001

Lead-Mercury Interaction

-0.777 (-1.013~ -0.542)

< 0.001

  1. To study the interaction of metals concentrations on eGFR each metal concentrations were divided in a low and an elevated group by the median of the given metal concentration. Next, we created groups of low lead and low mercury, low lead and elevated mercury, elevated lead and low mercury and finally elevated lead and elevated mercury. These groups were used to test the interaction of the metal on eGFR considering confounding factors such as age, sex and fasting glucose.
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