Table 6

Binary logistic regression; DV: Metabolic syndrome in women, fully adjusted model a.

IVNormal BMI bOverweight BMI cObese BMI d
R2OR [95% CI]p-Value eR2OR [95% CI]p-ValueR2OR [95% CI]p-Value
%iAs f0.1450.955 [0.854, 1.069]0.4260.1791.026 [0.950, 1.109]0.5090.0500.992 [0.942, 1.044]0.746
%MMA g0.1820.826 [0.701, 0.973]0.022 *0.2191.113 [1.016, 1.218]0.021 *0.0570.966 [0.919, 1.015]0.174
%DMA h0.1671.085 [0.999, 1.178]0.0530.2030.951 [0.903 1.003]0.0630.0541.018 [0.986 1.052]0.273
PMI i0.1600.644 [0.365, 1.135]0.1280.1871.149 [0.912, 1.446]0.2390.0490.992 [0.879 1.120]0.896
SMI j0.17511.485 [1.371, 96.196]0.024 *0.2200.089 [0.011, 0.704]0.022 *0.0642.590 [0.926, 7.243]0.070

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 [30], race (White vs. non-White), and smoking status (dichotomous); b BMI < 25.0; c 25.0 ≤ BMI < 30.0; d BMI ≥ 30.0, R2 represents Cox & Snell R2 value; e p-value obtained from binary logistic regression (* significant at (α = 0.05)); f urine % arsenite; g urine % monomethylarsonous and monomethylarsonic acid; h urine % dimethylarsinic and dimethylarsinous acid; i primary methylation index; j secondary methylation index.

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