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. 2022 Apr 5;10:e13216. doi: 10.7717/peerj.13216

Table 7. Regression models of the performance in the different physical fitness tests.

Variable Analysis R2 p value Included independent variables SC p value Equation
Long jump Model 1 0.47 0.001 Fat mass (%) −0.47 <0.001 Long jump = 2.322 − 0.019*fat mass (%)
Model 2 0.68 <0.001 Fat mass (%) −0.53 <0.001 Long jump = 2.277 − 0.021*fat mass (%) + 0.135*maturity offset (years)
Maturity offset 0.49 <0.001
Medicine ball throw Model 1 0.69 <0.001 Sitting height 0.83 <0.001 Medicine ball throw = − 15.667 + 0.249*sitting height
Model 2 0.74 <0.001 Sitting height 0.67 <0.001 Medicine ball throw = −14.710 + 0.202*sitting height + 0.136*corrected arm girth
Corrected arm girth 0.27 0.005
CMJ Model 1 0.26 <0.001 Fat mass (%) −0.51 <0.001 CMJ = 36.625 − 0.421*fat mass (%)
Model 2 0.53 <0.001 Fat mass (%) −0.65 <0.001 CMJ = −7.860 − 0.538*fat mass (%) + 1.462*corrected leg girth
Corrected leg girth 0.54 <0.001
CMJ power Model 1 0.85 <0.001 Muscle mass 0.92 <0.001 CMJ power = −71.982 + 33.613*muscle mass (kg)
Model 2 0.88 <0.001 Muscle mass 0.77 <0.001 CMJ power = −689.738 + 28.077*muscle mass (kg) + 4.396*height (cm)
Height 0.24 <0.001
20 m sprint Model 1 0.45 <0.001 Fat mass (%) 0.67 <0.001 Sprint = 3.425 + 0.024*fat mass (%)
Model 2 0.53 <0.001 Fat mass (%) 0.65 <0.001 Sprint = 4.488 + 0.023*fat mass (%) − 0.074*age (years)
Age −0.28 <0.001
Agility test Model 1 0.45 <0.001 Fat mass (%) 0.67 <0.001 Agility = 3.425 + 0.024*fat mass (%)
Model 2 0.55 <0.001 Fat mass (%) 0.70 <0.001 Agility = 3.452 + 0.025*fat mass (%) − 0.080*maturity offset (years)
Maturation offset −0.32 0.004
Model 3 0.60 <0.001 Fat mass (%) 0.72 0.001 Agility = 2.951 + 0.026*fat mass (%) − 0.115*maturity offset (years) + 0.005*ilioespinale height (cm)
Maturation offset −0.46 0.001
Ilioespinale height 0.27 0.017

Notes.

SC
Standardiced coeficients