Table 2.
Regression models.
| Model | PC1 | PC2 | Time from Sx | Pre-Sx BMI | Ethnicity | Constant | R2 |
|---|---|---|---|---|---|---|---|
| Unstd B (SE)/Std B | Unstd B (SE)/Std B | Unstd B (SE)/Std B | Unstd B (SE)/Std B | Unstd B (SE)/Std B | Unstd B (SE) | ||
| 1 | 0.101** (0.034)/0.456 | 0.273 (0.034) | 0.208 | ||||
| 2 | −0.088* (0.035)/−0.395 | 0.273 (0.035) | 0.156 | ||||
| 3 | 0.032** (0.009)/0.532 | 0.043 (0.072) | 0.283 | ||||
| 4 | 0.101** (0.031)/0.456 | −0.088** (0.031)/−0.395 | 0.273 (0.031) | 0.364 | |||
| 5 | 0.084** (0.029)/0.379 | −0.067* (0.029)/−0.304 | 0.023** (0.008)/0.384 | 0.107 (0.064) | 0.497 | ||
| 6 | 0.084** (0.029)/0.381 | −0.068* (0.030)/−0.308 | 0.022* (0.008)/0.377 | 0.01 (0.004)/0.025 | 0.076 (0.182) | 0.498 | |
| 7 | 0.101** (0.032)/0.454 | −0.082* (0.034)/−0.369 | 0.031 (0.068)/0.069 | 0.230 (0.102) | 0.369 |
Dependent variable: Weight Regain.
Degrees of freedom: 34
Unstd B: Unstandardized coefficient
Std B: Standardized coefficient
SE: Standard error
Sx: Surgery
p<0.05
p<0.001