Table 4.
Hierarchical linear regression model summary for balance and mobility.
Independent Variable † | Balance and Functional Mobility *
|
||||
---|---|---|---|---|---|
R2 | R2 Change | Unstandardized B (Standard Error) | Standardized β | P - value | |
Model 1 | 0.215 | 0.215 | < 0.01 | ||
Age | 0.02 (0.01) | 0.14 | 0.27 | ||
Normalized Quad Strength, Paretic | 1.54 (0.57) | 0.35 | 0.01 | ||
PASIPD Score | 0.24 (0.13) | 0.24 | 0.06 | ||
Model 2 | 0.278 | 0.063 | 0.04 | ||
Age | 0.02 (0.01) | 0.20 | 0.12 | ||
Normalized Quad Strength, Paretic | 1.28 (0.56) | 0.30 | 0.03 | ||
PASIPD Score | 0.23 (0.12) | 0.22 | 0.07 | ||
Stroop Interference Score | 0.03 (0.01) | 0.27 | 0.04 |
The first principal component extracted from the principal component analysis.
Age in years; Normalized quadriceps strength in Newton / (weight in kilograms x height in meters / 2); PASIPD = Physical Activity Scale for Individuals with Physical Disabilities in MET hr/d; Stroop Interference Score in number of correct responses in 45 seconds.