Table 4.
Bivariate logistic regression models for high CAVI (≥9.0) in each MetS criterion
| Variables (N/46,872, %) | Model 1 |
Model 2 |
Model 3 |
Model 4 |
Model 5 |
Model 6 |
||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ORs (95% CIs) | p value | ORs (95% CIs) | p value | ORs (95% CIs) | p value | ORs (95% CIs) | p value | ORs (95% CIs) | p value | ORs (95% CIs) | p value | |
| Male sex (24,417, 52.1) | 1.75 (1.60–1.91) | <0.001 | 1.85 (1.70–2.02) | <0.001 | 1.84 (1.68–2.00) | <0.001 | 1.78 (1.63–1.94) | <0.001 | 1.80 (1.65–1.97) | <0.001 | 1.76 (1.61–1.92) | <0.001 |
| Age ≥65 years (3,950, 8.4) | 32.4 (29.7–35.4) | <0.001 | 32.0 (29.3–34.9) | <0.001 | 31.9 (29.2–34.9) | <0.001 | 31.1 (28.5–34.0) | <0.001 | 30.1 (27.6–33.0) | <0.001 | 30.5 (27.9–33.3) | <0.001 |
| eGFR <60 mL/min/1.73 m2 (1,350, 2.9) | 2.06 (1.75–2.41) | <0.001 | 2.08 (1.77–2.44) | <0.001 | 2.08 (1.77–2.43) | <0.001 | 2.04 (1.74–2.40) | <0.001 | 2.05 (1.75–2.41) | <0.001 | 2.04 (1.74–2.40) | <0.001 |
| LDL-C ≥140 mg/dL (12,390, 26.4) | 1.48 (1.36–1.62) | <0.001 | 1.49 (1.37–1.63) | <0.001 | 1.48 (1.36–1.62) | <0.001 | 1.44 (1.32–1.58) | <0.001 | 1.43 (1.31–1.56) | <0.001 | 1.42 (1.30–1.55) | <0.001 |
| Japanese WC-MetS (2,568, 5.5) | 1.74 (1.50–2.02) | <0.001 | − | − | − | − | − | − | − | − | − | − |
| IDF WC-MetS (2,940, 6.3) | − | − | 1.50 (1.31–1.72) | <0.001 | − | − | − | − | − | − | − | − |
| NCEP-ATPIII WC-MetS (2,035, 4.3) | − | − | − | − | 2.20 (1.89–2.56) | <0.001 | − | − | − | − | − | − |
| Japanese ABSI-MetS (1,881, 4.0) | − | − | − | − | − | − | 3.04 (2.63–3.51) | <0.001 | − | − | − | |
| IDF ABSI-MetS (2,696, 5.8) | − | − | − | − | − | − | − | − | 2.92 (2.58–3.30) | − | − | |
| NCEP-ATPIII ABSI-MetS (3,390, 7.2) | − | − | − | − | − | − | 2.85 (2.54–3.20) | <0.001 | ||||
Akaike's information criterion: 16,922 (model 1), 16,940 (model 2), 16,873 (model 3), 16,761 (model 4), 17,702 (model 5) and 16,675 (model 6). Residual deviance: 16,910 (model 1), 16,928 (model 2), 16,874 (model 3), 16,749 (model 4), 16,702 (model 5) and 16,675 (model 6).WC-MetS was diagnosed using WC; ABSI-MetS was diagnosed using ABSI ≥0.080. ORs, odds ratios; 95% CIs, 95% confidence intervals; WC, weight circumference; ABSI, a body shape index; CAVI, cardio-ankle vascular index; LDL-C, low-density lipoprotein-cholesterol; eGFR, estimated glomerular filtration rate; MetS, metabolic syndrome; IDF, International Diabetes Federation; NCEP-ATPIII, National Cholesterol Education Program-Adult Treatment Panel III.