Table 3.
Multiple linear regression predicting waist circumference (n = 300).
| Variable | B (SE) | β | 95% CI |
|---|---|---|---|
| Step 1 | |||
| (Constant) | 85.17 (1.74) | 81.75–88.60 | |
| Female gender | 14.04 (1.99) | 0.38∗∗ | 10.14–17.95 |
| Step 2 | |||
| (Constant) | 36.56 (8.94) | 18.98–54.14 | |
| Male versus female | 1.86 (1.99) | 0.05 | −2.05–5.77 |
| WHR | 33.59 (4.24) | 0.43∗∗ | 25.25–41.93 |
| Duration | −0.020 (0.14) | −0.01 | −0.29–0.25 |
| Age (years) | 0.52 (0.06) | 0.40∗∗ | 0.40–0.64 |
| FPG (m/mol) | 0.75 (0.24) | 0.14∗ | 0.27–1.23 |
R 2 for Step 1 = 0.14, Step 2 = 0.48 (P < 0.001). ∗∗P < 0.001, ∗P < 0.05. WHR: waist-to-hip ratio; WC: waist circumference; AG: age; FPG: fasting plasma glucose; and DD: diabetes duration.