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. 2023 Nov 8;14:1283155. doi: 10.3389/fendo.2023.1283155

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