Table 2.
Reduced regression models showing coefficient estimates for oxLDL.
| Coefficient | Estimate | Standard error | P-value | N |
|---|---|---|---|---|
| Model 1 | 249 | |||
| Water Asbi | 10.98 | 3.788 | 0.004 | |
| Adjusted R2 = 0.029, AIC = 2121, p = 0.004 | ||||
| Model 2 | 249 | |||
| Age (years) | −0.052 | 0.081 | 0.526 | |
| Female | −1.12 | 2.288 | 0.625 | |
| Water Asbi | 10.05 | 4.232 | 0.018 | |
| Water Ubi | −31.66 | 14.73 | 0.033 | |
| Adjusted R2 = 0.037,AIC = 2123, p = 0.02 | ||||
| Model 3 | 94 | |||
| Water Asbi | 15.9 | 7.086 | 0.027 | |
| Water Ubi | −11.66 | 5.305 | 0.031 | |
| Urine As | −3.889 | 1.916 | 0.045 | |
| Urine Ubi | 11.68 | 4.392 | 0.009 | |
| Adjusted R2 = 0.106,AIC = 800.7, p = 0.007 | ||||
| Model 4 | 94 | |||
| Age (years) | −1.568 | 0.823 | 0.06 | |
| Female | −54.19 | 24.07 | 0.027 | |
| Water Asbi | 16.09 | 6.978 | 0.024 | |
| Water Ubi | −35.28 | 17.89 | 0.052 | |
| Urine As | −6.023 | 2.143 | 0.006 | |
| Urine Ubi | 8.833 | 4.281 | 0.042 | |
| Urine Cu | −25.14 | 13.84 | 0.073 | |
| Female x Urine Cu | 17.42 | 7.427 | 0.021 | |
| Adjusted R2 = 0.203, AIC = 797, p = 0.002 | ||||
P < 0.05 was considered statistically significant.
Reduced models are shown. All full models included demographic (age, gender) and physiologic variables (BMI, HbA1c), and estimated annual water intakes of U and As as predictors.
*
Models 1 and 2 included data from 249 participants. Models 3 and 4 include a subset of 94 participants with available data for urinary Cu. Models 3 and 4 also included continuous concentrations of urinary copper (Cu), vanadium (V), and nickel (Ni), As (log transformed), and U (binary). Models 2 and 4 included second order interactions and significant interactions are reported.