Table 3.
Models with PWV, C-IMT, and CAIx as dependent variables and anthropometric indices as predictors.
| PWV | C-IMT | CAIx | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| R 2: | β | 95% CI | p | R 2: | β | 95% CI | p | R 2: | β | 95% CI | p | ||
| 1st model | 0.115 | 0.173 | 0.118 to 0.228 | < 0.001 | 0.068 | 0.007 | 0.004 to 0.009 | < 0.001 | 0.025 | -0.439 | -0.760 to -0.118 | 0.008 | |
| BMI | 2nd model | 0.399 | 0.127 | 0.081 to 0.173 | < 0.001 | 0.474 | 0.004 | 0.001 to 0.006 | 0.001 | 0.294 | -0.434 | -0.716 to -0.153 | 0.003 |
| 3rd model | 0.453 | 0.091 | 0.044 to 0.138 | < 0.001 | 0.504 | 0.002 | < 0.001 to 0.005 | 0.036 | 0.304 | -0.476 | -0.777 to -0.176 | 0.002 | |
| 4rd model | 0.542 | 0.052 | 0.003 to 0.101 | 0.038 | 0.557 | 0.002 | 0.000 to 0.004 | 0.067 | 0.270 | -0.493 | -0.824 to -0.162 | 0.004 | |
| 1st model | 0.178 | 0.080 | 0.060 to 0.099 | < 0.001 | 0.144 | 0.004 | 0.003 to 0.004 | < 0.001 | 0.030 | -0.172 | -0.286 to -0.057 | 0.003 | |
| Waist circumference | 2nd model | 0.413 | 0.056 | 0.038 to 0.075 | < 0.001 | 0.486 | 0.002 | 0.001 to 0.003 | < 0.001 | 0.287 | -0.154 | -0.264 to -0.043 | 0.007 |
| 3rd model | 0.470 | 0.045 | 0.026 to 0.063 | < 0.001 | 0.511 | 0.001 | < 0.001 to 0.002 | 0.003 | 0.298 | -0.161 | -0.278 to -0.044 | 0.007 | |
| 4rd model | 0.533 | 0.029 | 0.009 to 0.048 | 0.004 | 0.562 | 0.001 | 0.000 to 0.002 | 0.011 | 0.262 | -0.141 | -0.271 to -0.010 | 0.035 | |
| 1st model | 0.019 | 0.043 | 0.007 to 0.080 | 0.019 | 0.001 | < 0.001 | -0.001 to 0.002 | 0.642 | 0.028 | 0.295 | 0.086 to 0.504 | 0.006 | |
| % Fat | 2nd model | 0.368 | 0.070 | 0.033 to 0.107 | < 0.001 | 0.441 | 0.001 | -0.001 to 0.003 | 0.240 | 0.322 | -0.322 | -0.545 to -0.099 | 0.005 |
| 3rd model | 0.443 | 0.055 | 0.019 to 0.090 | 0.003 | 0.483 | 0.001 | -0.001 to 0.002 | 0.522 | 0.330 | -0.320 | -0.550 to -0.091 | 0.006 | |
| 4rd model | 0.527 | 0.033 | -0.003 to 0.069 | 0.075 | 0.548 | 0.590 | -0.001 to 0.002 | 0.954 | 0.286 | -0.284 | -0.540 to -0.028 | 0.030 | |
| 1st model | 0.208 | 14.035 | 10.918 to 17.152 | < 0.001 | 0.149 | 0.584 | 0.425 to 0.742 | < 0.001 | 0.001 | 0.614 | -18.967 to 20.195 | 0.951 | |
| WHtR | 2nd model | 0.413 | 8.887 | 6.010 to 11.765 | < 0.001 | 0.479 | 0.251 | 0.117 to 0.384 | < 0.001 | 0.283 | -21.317 | -39.259 to -3.376 | 0.020 |
| 3rd model | 0.466 | 6.915 | 3.941 to 9.889 | < 0.001 | 0.506 | 0.170 | 0.029 to 0.311 | 0.018 | 0.292 | -22.037 | -41.479 to -3.135 | 0.023 | |
| 4rd model | 0.530 | 4.062 | 0.911 to 7.212 | 0.012 | 0.557 | 0.143 | -0.003 to 0.290 | 0.050 | 0.259 | -19.957 | -41.377 to -1.463 | 0.068 | |
PWV: Pulse wave velocity. C-IMT: Intima media thickness.CAIx: Central augmentation index. BMI: Body mass index. % Fat: body fat percentage. WHtR: Waist to height ratio.
p: statistically significant differences (p < 0.05).
First model: No adjusted.
Second model: Regression model constructed with BMI, waist circumference, body fat percentage and waist height ratio as predictors variables adjusted by gender and age.
Third model: Regression model constructed with BMI, waist circumference, body fat percentage and waist height ratio as predictors variables adjusted by gender, age, to be diabetic, to be hypertensive, lipid lowering drugs and smoking.
Fourth model: Regression model constructed with BMI, waist circumference, body fat percentage and waist height ratio as predictors variables adjusted by gender, age, to be diabetic, to be hypertensive, lipid lowering drugs, smoking, systolic blood pressure, total cholesterol, high sensitivity c-reactive protein, serum glucose, antidiabetic drugs and atherosclerotic plaques.