TABLE 3.
Multiple regression analysis to assess baseline predictors of body weight loss.
| Panel A | B | S.E. | Beta | p |
| Age | –4.43E-5 | 0.003 | -0.002 | 0.987 |
| Male sex | 0.066 | 0.064 | 0.230 | 0.316 |
| Baseline W/H ratio | 0.675 | 0.414 | 0.340 | 0.115 |
| Baseline body Weight (kg) | 0.002 | 0.002 | 0.171 | 0.336 |
| Baseline FGF21# | –0.199 | 0.075 | -0.410 | 0.012 |
| Panel B | B | S.E. | Beta | p |
| Age | 0.001 | 0.003 | 0.060 | 0.700 |
| Male sex | 0.135 | 0.050 | 0.472 | 0.011 |
| Baseline body Weight (kg) | 0.001 | 0.002 | 0.099 | 0.573 |
| Baseline FGF21# | –0.198 | 0.077 | -0.407 | 0.015 |
| Panel C | B | S.E. | Beta | p |
| Age (years) | 0.000 | 0.003 | 0.007 | 0.962 |
| Baseline W/H ratio | 0.954 | 0.311 | 0.481 | 0.005 |
| Baseline body Weight (kg) | 0.003 | 0.002 | 0.266 | 0.336 |
| Baseline FGF21# | –0.183 | 0.073 | -0.376 | 0.018 |
Independent variables evaluated: age, male sex, baseline body weight, baseline FGF21, baseline waist-to-hip circumference ratio (W/H ratio) (panel A). Panel (B) reports the model after the removal of W/H ratio. Panel (C) reports the model after the removal of the sex variable. SE, standard error. #Log transformed variables.