Table 3.

Multivariable regression analyses of the associations between U-As and log2-mtDNAcn stratified for arsenic metabolism efficiency (above and below median of fraction of each metabolite)^a.

Study group	mtDNAcnb	% iAs	n	β1 (95% CI)c	p-valuec	p-valued
Andes	0.56	< 11	122	−0.018 (−0.076 to 0.039)	0.53	0.013
	0.58	≥11	122	0.084 (0.022 to 0.15)	0.0080
Chaco	0.76	< 17	80	0.012 (−0.020 to 0.044)	0.45	0.82
	0.93	>17	79	0.028 (0.0019 to 0.054)	0.036
		% DMA
Andes	0.58	< 80.9	122	0.076 (0.017 to 0.13)	0.011	0.0083
	0.56	≥80.9	122	−0.030 (−0.092 to 0.031)	0.33
Chaco	0.94	< 71.1	79	0.027 (0.0038 to 0.049)	0.023	0.83
	0.77	≥71.1	80	0.020 (−0.038 to 0.079)	0.49

^aU-As referred to as sum of urinary arsenic metabolites.

^bPresented as median relative values of mtDNAcn.

^cLog2-mtDNAcn = α + β1 × U-As (per 100 μg/L) + β2 × age + β3 × gender.

^dp-value for interaction (β4) from the equation: Log2-mtDNAcn = α + β1 × U-As (per 100 μg/L) + β2 × age + β3 × gender + β4 × (U-As × < and > median %iAs/%MMA/%DMA).