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. 2016 Aug 22;4:87. doi: 10.3389/fcell.2016.00087

Table 4.

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

Study group TLb % iAs n β1 (95% CI)c p-valuec p-valued
Andes 0.41 < 11 94 0.0024 (−0.0089 to 0.014) 0.67 0.35
0.45 ≥11 114 0.0089 (0.00036 to 0.017) 0.041
Chaco 1.01 < 17 80 0.011 (−0.0059 to 0.028) 0.20 0.35
1.19 >17 79 0.018 (0.0019 to 0.034) 0.029
% DMA
Andes 0.45 < 80.9 114 0.0069 (−0.0012 to 0.015) 0.093 0.73
0.41 ≥80.9 94 0.0051 (−0.0076 to 0.018) 0.43
Chaco 1.23 < 71.1 79 0.012 (−0.0028 to 0.026) 0.11 0.61
1.001 ≥71.1 80 0.024 (−0.0053 to 0.054) 0.11
a

U-As referred to as sum of urinary arsenic metabolites. The number of individuals in Andes in each < and ≥ median split groups varied for telomere length as telomere length measurements were only available for individuals sampled in 2008.

b

Presented as median relative values of telomere length.

c

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

d

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