Table 4.
Multivariate Regression (partial correlation coefficients/ p values) for strength variables that were significantly associated with Vitamin D from Table 3
Test Type | Partial Correlation Coefficient |
p Value | R Square |
---|---|---|---|
Elbow | |||
Isometric Elbow
Extension APT |
0.725 | ||
Vit D | 0.114 | 0.02 | |
Gender | −0.661 | <0.01 | |
Age | −0.224 | <0.01 | |
BMI | 0.322 | <0.01 | |
VO2 Max | 0.454 | <0.01 | |
Isometric Elbow
Flexion APT |
0.685 | ||
Vit D | 0.098 | 0.05 | |
Gender | −0.669 | <0.01 | |
Age | −0.256 | <0.01 | |
BMI | 0.203 | <0.01 | |
VO2 Max | 0.123 | 0.01 | |
DBP | 0.155 | <0.01 | |
Isokinetic Elbow
Extension 60°/sec APT |
0.690 | ||
Vit D | 0.113 | 0.02 | |
Gender | −0.630 | <0.01 | |
Age | −0.145 | <0.01 | |
BMI | 0.350 | <0.01 | |
VO2 Max | 0.251 | <0.01 | |
Isokinetic Elbow
Flexion 60°/sec APT |
0.793 | ||
Vit D | 0.140 | 0.01 | |
Gender | −0.789 | <0.01 | |
Age | −0.128 | 0.01 | |
BMI | 0.336 | <0.01 | |
VO2 Max | 0.136 | 0.01 | |
Isokinetic Elbow
Extension 180°/sec APT |
0.635 | ||
Vit D | 0.123 | 0.01 | |
Gender | −0.589 | <0.01 | |
Age | −0.114 | 0.02 | |
BMI | 0.336 | <0.01 | |
VO2 Max | 0.205 | <0.01 | |
Isokinetic Elbow
Flexion 180°/sec APT |
0.734 | ||
Vit D | 0.116 | 0.02 | |
Gender | −0.735 | <0.01 | |
Age | −0.118 | 0.02 | |
BMI | 0.312 | <0.01 | |
VO2 Max | 0.110 | 0.03 | |
Knee | |||
Isometric knee
extension APT |
0.492 | ||
Vit D | 0.108 | 0.03 | |
Gender | −0.610 | <0.01 | |
Age | −0.440 | <0.01 | |
DBP | 0.116 | <0.01 | |
BMI | 0.107 | 0.03 | |
Isometric knee flexion
APT |
0.617 | ||
Vit D | 0.138 | 0.01 | |
Gender | −0.702 | <0.01 | |
Age | −0.567 | <0.01 | |
DBP | 0.122 | 0.01 | |
BMI | 0.111 | 0.03 | |
Isokinetic Knee
Flexion 60°/sec APT |
0.644 | ||
Vit D | 0.090 | 0.07 | |
Gender | −0.551 | <0.01 | |
Age | −0.289 | <0.01 | |
BMI | 0.296 | <0.01 | |
VO2 Max | 0.231 | <0.01 | |
Isokinetic Knee
Flexion 180°/sec APT |
0.586 | ||
Vit D | 0.068 | 0.17 | |
Gender | −0.489 | <0.01 | |
Age | −0.176 | <0.01 | |
BMI | 0.278 | <0.01 | |
VO2 Max | 0.264 | <0.01 |
Multiple linear regression analysis of serum 25-hydroxy vitamin D (Vit D) and the significant strength variables associated with Vitamin D in the ANOVA models. Predictors included in the multivariate analyses were age, gender, pulse, systolic blood pressure (SBP), diastolic blood pressure (DBP), body mass index (BMI), maximal oxygen uptake (VO2 Max), physical activity counts, and season of vitamin D blood draw, as were all two-way interactions. R square values for each regression model are presented.