Table 3.
Multivariate Linear Regression Analysis of the Prediction of BMI at 5-y Follow-Up
| Model (R2 = 0.863) |
||
|---|---|---|
| Independent Variables | βa | P Value |
| Adiponectin | −0.001 | 0.989 |
| Age | −0.074 | 0.036 |
| Female sex | −0.001 | 0.981 |
| BMI | 0.905 | <0.001 |
| Abdominal visceral fat area | −0.057 | 0.161 |
| Abdominal subcutaneous fat area | 0.020 | 0.709 |
| Thigh subcutaneous fat area | 0.024 | 0.547 |
| HOMA2-IR | 0.049 | 0.110 |
Model adjusted for baseline traits (age, sex, BMI, abdominal visceral fat area, abdominal subcutaneous fat area, thigh subcutaneous fat area, HOMA2-IR).
Data are expressed as standardized β.