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. 2017 Jun 20;32(3):e22283. doi: 10.1002/jcla.22283

Table 4.

Logistic regression analysis for the associations among VAI, LAP indexes, parameters used for indexes calculations, and DM2 development

Predictors Unadjusted OR (95%CI) P Nagelkerke R 2
BMI, kg/m2 1.140 (1.079‐1.205) <.001 .115
WC, cm 1.068 (1.046‐1.091) <.001 .198
HDL‐c, mmol/L 0.095 (0.046‐0.198) <.001 .209
TG, mmol/L 1.718 (1.295‐2.279) <.001 .083
LAP 1.016 (1.010‐1.021) <.001 .162
VAI 1.292 (1.133‐1.474) <.001 .092
Age, years 1.052 (1.033‐1.071) <.001 .142
Hypolipemics 3.120 (1.814‐5.367) <.001 .081
Adjusted OR (95%CI) P Nagelkerke R 2
Model 1
BMI, kg/m2 0.963 (0.863‐1.076) .513 .411
WC, cm 1.050 (1.006‐1.097) .027
HDL‐c, mmol/L 0.142 (0.053‐0.385) <.001
TG, mmol/L 0.954 (0.728‐1.249) .730
Age, years 1.050 (1.021‐1.086) .001
Hypolipemics 2.130 (1.150‐4.108) .024
Model 2
VAI 1.136 (0.998‐1.295) .053 .318
Age, years 1.064 (1.034‐1.095) <.001
Hypolipemics 2.040 (1.020‐3.770) .023
Model 3
TG, mmol/L 1.200 (0.934‐1.536) .155 .356
WC, cm 1.052 (1.022‐1.082) <.001
Age, years 1.054 (1.023‐1.086) <.001
Hypolipemics 2.041 (1.086‐3.840) .027
Model 4
LAP 1.010 (1.003‐1.017) .005 .333
Age, years 1.061 (1.031‐1.092) <.001
Hypolipemics 1.985 (1.065‐3.698) .031

Model 1: age, BMI, WC, HDL‐c, TG, hsCRP, ALT, GGT, uric acid, bilirubin, creatinine, eGFRMDRD (continuous variables); gender, smoking status, hypolipemics, and antihypertensive therapies (categorical variables).

Model 2: age, VAI, hsCRP, ALT, GGT, uric acid, bilirubin, creatinine, eGFRMDRD (continuous variables); gender, smoking status, hypolipemics, and antihypertensive therapies (categorical variables).

Model 3: age, WC, TG, hsCRP, ALT, GGT, uric acid, bilirubin, creatinine, eGFRMDRD (continuous variables); gender, smoking status, hypolipemics, and antihypertensive therapies (categorical variables).

Model 4: age, LAP, hsCRP, ALT, GGT, uric acid, bilirubin, creatinine, eGFRMDRD (continuous variables); gender, smoking status, hypolipemics, and antihypertensive therapies (categorical variables).