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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