Table 3.
Results of the multiple regression analysis
| Dependent variable: %BF | |||||
| Modeled variable | β | Std. β (95% CI) | Modeled variable | β | Std. β (95% CI) |
| MEQ* | − 0.04 | − 0.13 (− 0.25 ~ − 0.01) | Weight** | 0.48 | 0.66 (0.57 ~ 0.75) |
| PAL** | − 1.38 | − 0.29 (− 0.41 ~ − 0.16) | MEQ** | − 0.10 | − 0.17 (− 0.26 ~ − 0.08) |
| PAL** | − 8.81 | − 0.41 (− 0.50 ~ − 0.31) | |||
| R2 = 0.11, F = 14.17, P< 0.01 | R2 = 0.53, F = 84.60, P < 0.01 | ||||
| Dependent variable: AMM | |||||
| Modeled variable | β | Std. β (95% CI) | Modeled variable | β | Std. β (95% CI) |
| MEQ* | 0.04 | 0.14 (0.02 ~ 0.25) | Weight** | 0.19 | 0.61 (0.52 ~ 0.70) |
| PAL** | 3.78 | 0.40 (0.28 ~ 0.52) | MEQ* | 0.02 | 0.10 (0.01 ~ 0.18) |
| TEI | < 0.01 | 0.07 (− 0.05 ~ 0.19) | PAL** | 2.77 | 0.29 (0.20 ~ 0.38) |
| TEI | < 0.01 | 0.06 (− 0.03 ~ 0.15) | |||
| R2 = 0.21, F = 19.74, P < 0.01 | R2 = 0.56, F = 73.01, P < 0.01 | ||||
| Dependent variable: SMI | |||||
| Modeled variable | β | Std. β (95% CI) | Modeled variable | β | Std. β (95% CI) |
| MEQ** | 0.01 | 0.19 (0.07 ~ 0.31) | Weight** | 0.05 | 0.49 (0.39 ~ 0.60) |
| PAL** | 0.94 | 0.33 (0.20 ~ 0.45) | MEQ** | 0.01 | 0.15 (0.05 ~ 0.26) |
| TEI | < 0.01 | 0.05 (− 0.07 ~ 0.17) | PAL** | 0.69 | 0.24 (0.14 ~ 0.35) |
| TEI | < 0.01 | 0.04 (− 0.06 ~ 0.15) | |||
| R2 = 0.17, F = 15.33, P < 0.01 | R2 = 0.40, F = 37.34, P < 0.01 | ||||
*P ≤ 0.05
**P < 0.01