Figures & data
Figure 2. Receiver-operating characteristic (ROC) analysis showing WBC level cutoff point (black square) used to predict metabolic syndrome in the study group. (a) Males. (b) Females.
![Figure 2. Receiver-operating characteristic (ROC) analysis showing WBC level cutoff point (black square) used to predict metabolic syndrome in the study group. (a) Males. (b) Females.](/cms/asset/0553363d-08ab-4b4d-971c-a5784363f6ad/itam_a_875989_f0002_b.jpg)
Figure 3. Kaplan–Meier estimates of metabolic syndrome during follow-up according to the white blood cell levels predicting at baseline in validation group.
![Figure 3. Kaplan–Meier estimates of metabolic syndrome during follow-up according to the white blood cell levels predicting at baseline in validation group.](/cms/asset/56a45cee-5ece-44fa-94da-43fbf66507ff/itam_a_875989_f0003_b.jpg)
Table 1. Demographic data of the study group and validation group at baseline and follow-up.
Table 2. Univariate and multivariate analyses of baseline white blood cell levels and metabolic-related components at follow-up in the study group.
Table 3. Cox regression between baseline variables, white blood cell levels, and components of MetS and whether subjects had MetS after follow-up.
Table 4. The κ coefficient test between predicted and observed metabolic syndrome in the validation group.