Table 3.
Independent predictors for epicardial fat thickness by multivariate linear regression analysis
| Variables | Univariate analysis P | Multivariate analysis β P |
|---|---|---|
| Rosacea | < 0.001 | 0.47 < 0.001 |
| Gender | 0.564 | |
| Age | 0.199 | |
| Duration of rosacea | 0.458 | |
| Subtype of rosacea | 0.763 | |
| Smoking | 0.267 | |
| Alcohol consumption | 0.75 | |
| Regular exercise | 0.427 | |
| Family history of CVD | 0.572 | |
| Waist circumference | 0.285 | |
| CIMT | < 0.001 | 0.36 < 0.001 |
| LDL | 0.037 | 0.06 0.388 |
| TG | 0.971 | |
| Total cholesterol | 0.118 | |
| HDL | 0.742 | |
| FBG | 0.697 | |
| CRP | 0.824 | |
| Systolic BP | < 0.001 | 0.19 0.015 |
| BMI | 0.814 | |
| IR | 0.448 | |
| MS | 0.908 |
CIMT- Carotid intima media thickness; CVD- Cardiovascular disease; TG-Triglyceride; FBGFasting blood glucose; CRP- C-reactive protein; BP- Blood pressure; BMI- Body mass index; IR- Insulin resistance; MS- Metabolic syndrome.