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. 2017 Nov-Dec;92(6):820–825. doi: 10.1590/abd1806-4841.20176832

Table 2.

Prediction of presence of rosacea in the study population by multiple logistic regression analysis

Variables Univariate analysis P Odds Ratio (95% CI) Multivariate analysis β P Odds Ratio (95% CI)
Gender 0.793 1.15 (0.41-3.22)    
Age 0.865 1.01 (0.95-1.06)    
Smoking 0.502 1.59 (0.41-6.12)    
Alcohol consumption 1 1 (0.13-7.47)    
Regular exercise 0.119 2.03 (0.83-4.95)    
Family history of CVD 0.815 0.86 (0.24-3.09)    
Waist circumference 0.911 1.01 (0.957-1.05)    
EFT < 0.001 12.87 (4.43-37.36) 2.59 < 0.001 13.31 (4.15-42.68)
LDL 0.062 1.02 (0.99-1.03) 0.01 0.534 1.01 (0.98-1.03)
TG 0.180 1.01 (0.99-1.01)    
Total cholesterol 0.215 1.01 (0.99-1.02)    
HDL 0.073 0.97 (0.94-1.01) -0.05 0.087 0.96 (0.91-1.01)
FBG 0.413 1.01 (0.98-1.05)    
CRP 0.124 1.18 (0.95-1.46)    
Diastolic BP 0.014 1.08 (1.02-1.15) 0.05 0.291 1.05 (0.96-1.15)
BMI 0.592 1.04 (0.91-1.19)    
IR 0.331 1.61 (0.61-4.25)    
MS 0.207 1.93 (0.69-5.34)    

CI- Confidence interval; CVD- Cardiovascular disease; EFT- Epicardial fat thickness; TG-Triglyceride; FBG- Fasting blood glucose; CRP- C-reactive protein; BP- Blood pressure; BMI- Body mass index; IR- Insulin resistance; MS- Metabolic syndrome.