Table 4. Results from logistic regression analysis (dependent variable is mRs score of 0-2; FD-).
Independent variable | B | SE | Wald | df | P | Odds ratio | 95% CI |
---|---|---|---|---|---|---|---|
Age (years) | -0.12 | 0.016 | 0.53 | 1 | 0.46 | 0.98 | 0.95-1.02 |
Sedentary lifestyle (yes) | 0.64 | 0.55 | 1.50 | 1 | 0.22 | 1.96 | 0.66-5.76 |
CES-D score | -0.38 | 0.019 | 4.17 | 1 | 0.04 | 0.96 | 0.92-0.99 |
NIHSS score | -0.52 | 0.10 | 25.68 | 1 | 0.0001 | 0.59 | 0.48-0.72 |
Constant | 3.68 | 1.17 | 9.78 | 1 | 0.002 | 39.85 | |
Model X2 | 54.25, df = 4, P = 0.0001 | ||||||
Pseudo R2 | 0.44 | ||||||
N | 144 | ||||||
Hosmer and Lemeshow test (χ2) | 10.05, df = 8; P = 0.26 |
mRs = modified Rankin scale; NIHSS = National Institutes of Health Stroke Scale; CES-D = Center for Epidemiological Studies - Depression Scale; SE = standard error, Wald = Wald statistics; Pseudo R2 = Nagelkerke R square; df = degrees of freedom; CI = confidence interval.