Table 3.
Regression equations for estimating muscle mass from anthropometric variables.
| N° | Equations | T | VIF | R | R2 | SEE | p |
|---|---|---|---|---|---|---|---|
| MALES (n = 1,347) | |||||||
| 1 | LM = −28.669+0.887*age+0.298*Weight+0.255*Height | 0.936 | 0.876 | 5.071 | 0.000 | ||
| Age | 0.148 | 6.754 | |||||
| Weight | 0.246 | 4.066 | |||||
| Height | 0.122 | 8.211 | |||||
| 2 | LM = −25.512+1.088*age+0.297*Weight+0.037*AC+0.405*Heigh | 0.935 | 0.875 | 5.08 | 0.000 | ||
| Age | 0.185 | 6.754 | |||||
| Weight | 0.130 | 4.066 | |||||
| Arm Circunference | 0.245 | 8.211 | |||||
| Height | 0.165 | 8.210 | |||||
| FEMALES (n = 835) | |||||||
| 3 | LM = −16.264+0.182*age+0.302*Weight+0.198*Height | 0.912 | 0.832 | 3.71 | 0.000 | ||
| Age | 0.303 | 3.298 | |||||
| Weight | 0.296 | 3.375 | |||||
| Height | 0.214 | 4.671 | |||||
| 4 | LM = −11.504+0.271*age+0.393*Weight-0.10*AC+0.292*Height | 0.909 | 0.827 | 3.78 | 0.000 | ||
| Age | 0.324 | 3.089 | |||||
| Weight | 0.152 | 6.565 | |||||
| Arm Circunference | 0.234 | 4.265 | |||||
| Height | 0.254 | 3.931 | |||||
T, Tolerance; VIF, variance inflation factor; SEE, Standard estimation error; AC, Arm circumference.