Table 4.

Binary logistic regression, fully adjusted ^a.

Variable	Men			Women
	R2	OR [95% CI]	p-Value b	R2	OR [95% CI]	p-Value
%iAs c	0.069	0.999 [0.970, 1.029]	0.950	0.085	0.977 [0.944, 1.012]	0.977
%MMA d	0.079	0.960 [0.927, 0.994]	0.021 *	0.085	0.974 [0.940, 1.010]	0.153
%DMA e	0.073	1.015 [0.995, 1.037]	0.150	0.087	1.020 [0.998, 1.044]	0.078
PMI f	0.073	0.656 [0.358, 1.203]	0.173	0.081	0.956 [0.543, 1.683]	0.876
SMI g	0.073	1.636 [0.834, 3.209]	0.152	0.090	2.148 [1.048, 4.402]	0.037 *

^a adjusted for age (continuous), poverty income ratio (PIR < 1 vs. PIR ≥ 1)—calculated by dividing family income by the poverty guidelines specific to the survey year [31], race (white vs. non-white), and smoking status (dichotomous), R² represents Cox & Snell R² value; ^b p-value obtained from binary logistic regression (* significant at (α = 0.05)); ^c urine % arsenite, ^d urine % monomethylarsonous and monomethylarsonic acid; ^e urine % dimethylarsinic and dimethylarsinous acid; ^f primary methylation index; ^g secondary methylation index.