Table 7 Multivariate linear regression –Arsenic 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

141.337 (139.904 ~ 142.769)

< 0.001

Age

-0.772 (-0.784 ~ -0.76)

< 0.001

Sex

-1.406 (-1.787 ~ -1.025)

< 0.001

CRP

-0.04(-0.061 ~ -0.019)

< 0.001

Glucose

-0.055(-0.064~ -0.046)

< 0.001

Arsenic-Mercury Interaction

-0.697 (-0.965~ -0.428)

< 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 arsenic and low mercury, low arsenic and elevated mercury, elevated arsenic and low mercury and finally elevated arsenic 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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