Table 8.
Multiple regression analysis model (stepwise method) with BMI as dependent variable to estimate the prognostic value of age, sSAT, dSAT, tSAT, sSAT/dSAT, MT and MT/SAT in abdomen and thigh, for women and men
| Parameters | Multiple Regression Analysis | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Abdomen (women) | Abdomen (men) | ||||||||
| Model 1 | R 2 | β | t | p value | Model 1 | R 2 | β | t | p value |
| Age | 0.629 | 0.177 | 5.087 | < 0.001 | Age | 0.557 | -0.024 | -1.017 | 0.310 |
| sSAT | 0.292 | 6.046 | < 0.001 | sSAT | 0.152 | 4.358 | < 0.001 | ||
| dSAT | 0.752 | 14.868 | < 0.001 | dSAT | 0.762 | 19.202 | < 0.001 | ||
| sSAT/dSAT | 0.064 | 1.213 | 0.226 | sSAT/dSAT | 0.100 | 2.560 | 0.011 | ||
| MT | -0.065 | -1.712 | 0.088 | MT | 0.026 | 0.938 | 0.348 | ||
| MT/SAT | 0.215 | 3.737 | < 0.001 | MT/SAT | 0.065 | 1.484 | 0.138 | ||
| Variable excluded: tSAT | Variable excluded: tSAT | ||||||||
| Thigh (women) | Thigh (men) | ||||||||
| Model 1 | R 2 | β | t | p value | Model 1 | R 2 | β | t | p value |
| Age | 0.327 | 0.231 | 8.064 | < 0.001 | Age | 0.398 | 0.305 | 9.679 | < 0.001 |
| sSAT | 0.181 | 4.213 | < 0.001 | sSAT | -0.011 | -0.207 | 0.836 | ||
| dSAT | 0.04 | 0.953 | 0.341 | dSAT | 0.446 | 7.940 | < 0.001 | ||
| sSAT/dSAT | -0.162 | -3.539 | < 0.001 | sSAT/dSAT | -0.049 | -1.080 | 0.280 | ||
| MT | 0.181 | 3.999 | < 0.001 | MT | 0.150 | 3.336 | 0.001 | ||
| MT/SAT | -0.265 | -3.882 | < 0.001 | MT/SAT | -0.121 | -2.061 | 0.040 | ||
| Variable excluded: tSAT | Variable excluded: tSAT | ||||||||
A p-values in bold type denotes a significance difference (p < 0.05). Abbreviations: body mass index, BMI; superficial subcutaneous adipose tissue, sSAT; deep subcutaneous adipose tissue, dSAT; total subcutaneous adipose tissue, tSAT