TABLE 2.
Univariable and multivariable logistic regression analyses of associations between a body shape index (ABSI) and abdominal aortic calcification (AAC).
| ABSI as a continuous variablea | ABSI as a categorical variableb | |||||
| OR | 95% CI | P value | OR | 95% CI | P value | |
| Crude model | 2.485 | 2.099–2.942 | < 0.001 | 2.132 | 1.826–2.489 | < 0.001 |
| Model 1 | 1.378 | 1.150–1.653 | 0.001 | 1.257 | 1.057–1.494 | 0.010 |
| Model 2 | 1.287 | 1.070–1.547 | 0.007 | 1.220 | 1.025–1.453 | 0.025 |
| Model 3 | 1.259 | 1.046–1.516 | 0.015 | 1.201 | 1.008–1.430 | 0.041 |
Crude model: unadjusted.
Model 1: adjusted for age, smoking history, hypertension, diabetes, and osteoporosis.
Model 2: adjusted for variables included in Model 1 and body mass index, systolic blood pressure.
Model 3: adjusted for variables included in Model 2 and triglycerides, total cholesterol, creatinine, and fasting plasma glucose.
ABSI, a body shape index; AAC, abdominal aortic calcification; OR, odds ratio; CI, confidence interval.
aThe OR was examined by per 1-unit increase of ABSI.
bThe OR was examined regarding lower ABSI as reference (stratified by the optimal cutoff point of ABSI determined by ROC curve analysis).