Table 4.

Multiple linear regression analysis of VO₂max as the dependent variable (n = 104).

Prediction models	Coefficients	β	p-value	R2	Adjusted R2
Model 1				0.818	0.809
Athletic	−796.288	−0.367	.000
Gender	−386.803	−0.160	.025
Height, cm	34.228	0.286	.002
Weight, kg	15.992	0.213	.002
25(OH)D, ng/ml	678.148	0.099	.041
Model 2				0.830	0.820
Athletic	−744.219	−0.343	.000
Gender	−632.902	−0.262	.001
Height, cm	32.576	0.272	.002
Weight, kg	17.282	0.230	.001
25(OH)D, ng/ml	664.428	0.097	.039
Hb, g/L	−11.065	−0.141	.011
Model 3				0.840	0.825
Athletic	−726.065	−0.335	.000
Gender	−638.730	−0.264	.005
Height, cm	28.210	0.235	.009
Weight, kg	15.884	0.211	.008
25(OH)D, ng/ml	667.603	0.097	.036
Hb, g/L	−9.158	−0.117	.040
RHS, kg	−0.398	−0.039	.628
FVC, L	405.912	0.356	.028
FEV1, L	−355.659	−0.258	.115

B, unstandardized regression coefficients; β, standardized regression coefficients.

The 25(OH)D levels was log transformed for the analysis.

Athletic (athletes = 1, non-athletes = 2); Gender (Man = 1, Woman = 2).

Model 2: as in model 1 plus Hb.

Model 3: as in model 2 plus RHS、FVC、FEV₁.

VO₂max(ml/min) = −726.065 × Athletic − 638.730 × Gender + 28.210 × Height + 15.884 × Weight + 667.603 × 25(OH)D −9.158 × Hb + 405.912 × FVC.