Table 3.
Multivariable regression analysis between anthropometric and body composition variables and Resting Energy Expenditure (REE) in the calibration group (n: 382, 295 females and 87 males).
Model 1 | Model 2 | Model 3 | Model 4 | ||
---|---|---|---|---|---|
Body weight (kg) | 9.9** (8.4,11.4) |
10.0** (8.4,11.6) |
– | – | |
Age (years) | -10.2* (-19.5,-0.87) |
-10.2* (-19.5,-0.8) |
-11.4* (-20.7,-2.07) |
-10.7* (-20.2,-1.3) |
|
Male | 264.4** (205.2,323.6) | 270.4** (196.2,344.7) | 10.5 (-68.0,89.0) |
144.2 (-163.3,451.8) |
|
Height (cm) | – | -52.4 (-438.6,333.7) |
– | – | |
FFM (kg) | – | – | 18.9** (16.0,21.8) |
14.2* (3.3,25.1) |
|
FM (kg) | – | – | – | 5.3 (-6.5,17.0) | |
Intercept | 1333.1** (665.7,2000.4) | 1406.1** (548.4,2263.8) | 1474.0** (812.9,2135.1) | 1393.9** (708.9,2078.8) | |
RMSE | 239.1 | 239.4 | 239.1 | 239.2 | |
R2 adj | 0.4546 | 0.4533 | 0.4544 | 0.4541 | |
P model | <0.001 | <0.001 | <0.001 | <0.001 |
FFM: Fat-Free Mass; FM: Fat Mass; RMSE: Root Mean Squared Error. Model 1: body weight, age and gender; Model 2: body weight, age, gender and height; Model 3: age, gender and FFM; Model 4: age, gender, FFM and FM. *p<0.05 **p<0.001