Table 3.

Specific characteristics of the predictive models used. For each model, the variable estimates included in the calculations are provided with their corresponding confidence interval (CI).

	Serum Se	Serum SELENOP	GPx3 Activity	All
(intercept)	−1.70 *** [−2.20, −1.20]	−1.75 *** [−2.27, −1.24]	−1.42 *** [−1.81, −1.02]	−1.80 *** [−2.34, −1.26]
Se	−1.19 *** [−1.79, −0.60]			−0.55 [−1.39, 0.30]
SELENOP		−1.28 *** [−1.86, −0.70]		−0.94 * [−1.72, −0.16]
GPx3			−0.46 * [−0.89, −0.04]	0.09 [−0.37, 0.54]
N	166	166	166	166
AIC	150.5	146.3	167.3	148.5
Pseudo R2	0.19	0.23	0.05	0.24

All continuous predictors are mean-centered and scaled by 1 standard deviation. *** p < 0.001; * p < 0.05.