Table 2.
Characters | Crude OR (95%) | Unadjusted p-value | Adjusted OR (95%) | Adjusted p-value |
---|---|---|---|---|
BMI | 1.576 (1.346–1.845) | <0.001 | 1.585a (1.349–1.863) | <0.001† |
Hypertension | 2.059 (1.168–3.63) | 0.018 | 1.092 (0.495–2.410) | 0.827 |
DM | 1.278 (0.691–2.364) | 0.533 | 0.757 (0.291–1.971) | 0.569 |
Dyslipidemia | 1.158 (0.652–2.057) | 0.755 | 0.718 (0.301–1.714) | 0.455 |
CAD | 0.857 (0.457–1.608) | 0.749 | 0.931 (0.366–2.366) | 0.881 |
Smoking | 1.313 (0.508–3.385) | 0.511 | 0.983 (0.412–2.346) | 0.969 |
Data are presented as OR (95% confidence interval). Pearson correlation coefficient for normal distribution variables or McNemar’s tests for dichotomy variables were used to calculate crude OR. Conditional logistic regression was used to calculate adjusted OR.
aData are presented as OR per unit increase in BMI (kg/m2).
†Significant variables.
DM, diabetes mellitus; CAD, coronary artery disease; OR, odds ratio; BMI, body mass index.