Skip to main content
. 2020 Mar 11;17(6):1811. doi: 10.3390/ijerph17061811

Table 2.

Results of multiple linear regression analyses for predicting urinary levels of 8-oxodG as a function of metal exposure only (Model A) and as a function of co-exposure to metal and polycyclic aromatic hydrocarbons (PAHs), (Model B). Independent variables were the urinary levels of each single urinary metal in Model A, and the urinary levels of each single urinary metal plus urinary phenanthrene (U-PHE) in Model B.

Model A Model B
Independent Variables GMR (95% CI); p Value a R2adjb; P c Independent Variables GMR (95% CI); p Valuea R2adjb; P c
V 0.82 (0.58–1.18); 0.282 0.04; 0.155 V 0.87 (0.62–1.23); 0.430 0.11; 0.017
U-PHE 2.42 (1.28–4.58); 0.007
Cr 1.44 (0.93–2.21); 0.100 0.05; 0.087 Cr 1.40 (0.46–2.13); 0.110 0.13; 0.008
U-PHE 2.44 (1.30–4.57); 0.006
Mn 1.88 (1.25–2.85); 0.003 0.12; 0.007 Mn 1.61 (1.04–2.50); 0.033 0.15; 0.004
U-PHE 1.90 (0.97–3.70); 0.059
Co 1.45 (0.95–2.21); 0.085 0.06; 0.079 Co 1.37 (0.91–2.07); 0.128 0.13; 0.009
U-PHE 2.38 (1.27–4.47); 0.008
Ni 1.36 (0.75–2.43); 0.306 0.03; 0.162 Ni 1.31 (0.74–2.30); 0.348 0.11; 0.016
U-PHE 2.46 (1.30–4.63); 0.006
Cu 1.41 (0.80–2.49); 0.234 0.04; 0.141 Cu 1.32 (1.32–2.28); 0.323 0.11; 0.015
U-PHE 2.42 (1.28–4.57); 0.007
Zn 1.79 (1.16–2.75); 0.009 0.10; 0.017 Zn 1.61 (1.05–2.48); 0.029 0.15; 0.003
U-PHE 2.17 (1.16–4.08); 0.016
total As 1.52 (1.08–2.13); 0.016 0.09; 0.025 As 1.47 (1.84–2.04); 0.021 0.16; 0.003
U-PHE 2.36 (1.28–4.38); 0.007
Cd 1.38 (0.92–2.07); 0.114 0.06; 0.080 Cd 1.36 (1.84–2.04); 0.121 0.12; 0.010
U-PHE 2.35 (1.28–4.38); 0.009
Ba 1.41 (0.96–2.07); 0.081 0.06; 0.077 Ba 1.45 (1.00–2.09); 0.048 0.14; 0.005
U-PHE 2.58 (1.38–4.80); 0.003
Tl 1.82 (1.17–2.84); 0.008 0.10; 0.016 Tl 1.74 (1.13–2.67); 0.012 0.17; 0.002
U-PHE 2.33 (1.26–4.31); 0.008
Pb 1.73 (1.07–2.81); 0.027 0.08; 0.037 Pb 1.62 (1.01–2.59); 0.046 0.14; 0.004
U-PHE 2.32 (1.24–4.34); 0.009

GMR = geometric mean ratio. a = p values represent significance of each predictive variable. b = R2adj values represent the adjusted coefficient of determination for the linear regression model. c = P values represent the significance of the linear regression model.