Table 5.

Evaluation of airborne benzene exposure, smoking status (as urinary cotinine), and CYP2E1 (RsaI) genotype on urinary biomarkers according to linear multiple regression analysis: log10(U-Biomarker) = constant + log10(BenzeneAir) × β1 + log10(U-cotinine) × β2 + CYP2E1 (RsaI) × β3

t,t-MA T0t,t-MA T1S-PMAU-benzene T0U-benzene T1
β (SE)R2P, Pβ (SE)R2P, Pβ (SE)R2P, Pβ (SE)R2P, Pβ (SE)R2P, P
Constant1.27 (0.11)—, <0.011.07 (0.10)—, <0.010.28 (0.09)—, <0.011.48 (0.09)—, <0.011.35 (0.11)—, <0.01
Benzene Air0.05 (0.06)<0.01, 0.430.09 (0.05)0.01, 0.090.01 (0.05)<0.01, 0.770.34 (0.05)0.22, <0.010.36 (0.05)0.18, <0.01
U-cotinine0.24 (0.04)0.09, <0.010.32 (0.03)0.19, <0.010.21 (0.03)0.10, <0.010.41 (0.03)0.45, <0.010.33 (0.04)0.28, <0.01
CYP2E1 (RsaI)0.29 (0.11)0.02, 0.01−0.07 (0.10)<0.01, 0.47−0.07 (0.09)<0.01, 0.47−0.21 (0.10)0.02, 0.03−0.25 (0.11)0.03, 0.02
Whole model R2adj, P0.10, <0.010.20, <0.010.10, <0.010.55, <0.010.41, <0.01
  • NOTE: Values of constant and β coefficient, with SE, partial R2 (R2P), and significance (P) for each term of the equation, are given. Adjusted R2 (R2adj) and the significance (P) for the whole model are reported in the last row. Statistical analysis was done on log10-transformed variables.