Table 4.
Results of regression coefficient and its corresponding standard error, P-value and R2, for variables correlated to the outcome variable MSH, after using multiple linear regressions
| Estimate B (SE) | Estimate of standardised B (SE) | P-value | R2 | |
|---|---|---|---|---|
| Model 1 | 0.598 | |||
| Intercept | 54.46 (4.07) | < 0.001 | ||
| Sex (Women = 1, Men = 0) | -7.34 (0.86) | -0.74 (0.09) | < 0.001 | |
| Age (years) | -0.16 (0.07) | -0.22 (0.09) | 0.020 | |
| Body mass index, BMI, (kg·m-2) | -0.38 (0.11) | -0.31 (0.09) | 0.001 | |
| Model 2 | 0.594 | |||
| Intercept | 40.77 (16.35) | 0.016 | ||
| Sex (Women = 1, Men = 0) | -7.76 (1.41) | -0.78 (0.15) | < 0.001 | |
| Age (years) | -0.17 (0.07) | -0.22 (0.09) | 0.020 | |
| Height (cm) | 0.08 (0.09) | 0.13 (0.14) | 0.341 | |
| Weight (kg) | -0.13 (0.04) | -0.35 (0.11) | 0.002 | |
| Mean energy expenditure (kcal·wk-1) | 0.00002 (0.0004) | 0.0037 (0.09) | 0.967 |
Two different models are presented, using two different measures for body composition, model 1 uses BMI, and model 2 uses height and weight.