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Table 4 Multiple linear regression model of association of ln urine cadmium with exposure after adjusting for covariates

From: Levels of blood lead and urinary cadmium in industrial complex residents in Ulsan

 

Independent variables

β coefficient (Standardized β coefficient)

p value

Model

R2

p value

Total

Age (Years)

0.026 (0.531)

<0.001

0.480

<0.001

(n = 429)

Education level (College and more vs. High school and less)

−0.106 (−0.064)

0.153

  

Drinking status (Yes vs. No)

−0.029 (−0.017)

0.679

  

Smoking status (Yes vs. No)

0.261 (0.147)

0.004

  

Gender (Men vs. Women)

−0.656 (−0.396)

<0.001

  

Exposure (Yes vs. No)

0.328 (0.175)

<0.001

  

Smoker

Age (Years)

0.025 (0.608)

<0.001

0.521

<0.001

(n = 129)

Education level (College and more vs. High school and less)

−0.162 (−0.113)

0.124

  

Drinking status (Yes vs. No)

−0.238 (−0.113)

0.085

  

Gender (Men vs. Women)

−0.444 (−0.159)

0.014

  

Exposure (Yes vs. No)

0.427 (0.270)

<0.001

  

Non-smoker

Age (Years)

0.027 (0.520)

<0.001

0.468

<0.001

(n = 300)

Education level (College and more vs. High school and less)

−0.054 (−0.031)

0.584

  

Drinking status (Yes vs. No)

0.009 (0.005)

0.914

  

Gender (Men vs. Women)

−0.706 (−0.318)

<0.001

  

Exposure (Yes vs. No)

0.284 (0.144)

0.001

  
  1. ln natural log