Table 4.
A multiple linear regression to identify predictors of a change in ankle difference from pre-to-post-intervention
| Variable | B | SE | β | t | p | 95% CI |
|---|---|---|---|---|---|---|
| Age | − 0.55 | 0.16 | − 0.74 | −3.46 | 0.004 | − 0.88, − 0.21 |
| Sex | −1.99 | 2.43 | − 0.19 | − 0.82 | 0.428 | −7.21, 3.46 |
| Employment | 1.62 | 1.28 | −1.05 | −4.84 | < 0.001 | −8.97, − 0.65 |
| Education | 1.62 | 0.99 | 0.36 | 1.63 | 0.125 | − 0.51, 3.75 |
| Income | 0.13 | 0.75 | 0.04 | 0.18 | 0.861 | − 0.1.47, 1.74 |
| Living situation | −6.83 | 3.69 | − 0.43 | −1.85 | 0.085 | −14.74, 1.08 |
| Strength training history | 0.15 | 1.12 | 0.03 | 0.13 | 0.898 | −2.26, 2.56 |
| Injuries history | − 0.30 | 1.70 | − 0.03 | − 0.18 | 0.864 | −3.94, 3.35 |
| Current self-reported strength | −4.49 | 1.63 | − 0.53 | −2.76 | 0.015 | −7.98, −1.00 |
| Health conditions | 1.93 | 1.02 | 0.32 | 1.90 | 0.079 | − 0.25, 4.12 |
| Meeting guidelines | 3.58 | 1.82 | 0.47 | 1.97 | 0.069 | − 0.31, 7.47 |