Table 5.
Potential predictors of activity energy expenditure (kJ/kg/day), sleeping heart rate (beats/min), and grip strength (kg) based on multiple regression analysis using backward elimination on the presented variables
| |
Activity energy expenditure 1(kJ/kg/day) Adjusted R2=0.17 n=291 |
Sleeping heart rate 2 (beats/min) Adjusted R2=0.03 n=298 |
Grip strength 2(kg) Adjusted R2=0.11 n=302 |
|||
|---|---|---|---|---|---|---|
|
Variable |
Log B (95%CI)3 |
P |
B (95%CI) |
P |
B (95%CI) |
P |
| Age (years) | −0.008 (−0.012;-0.004) | <0.001 | ||||
| Gestational age (weeks) |
−0.004 (−0.007;-0.001) |
0.003 |
0.15 (0.03;0.27) |
0.02 |
|
|
| Height (cm) |
|
|
|
|
0.20 (0.11;0.28) |
< 0.001 |
| Arm fat area (cm2) |
−0.004 (−0.008;-0.001) |
0.005 |
0.16 (0.04;0.27) |
0.01 |
|
|
| Arm muscle area (cm2) | 0.006 (0.002;0.010) | 0.005 | 0.18 (0.10;0.27) | < 0.001 | ||
1Adjusted for cardiorespiratory fitness indicator (m/beat).
2Age was forced in the model.
3Data are log-transformed beta-coefficients. The percentage difference in Activity energy expenditure associated with one unit difference in continuous exposure variables is calculated as (10B – 1) x 100% (95%CI).