Table 3.
Summary of the outcomes of hierarchical regression analysis to identify predictive demographic and clinical characteristics for the five domains of daily mobility performance
| Mobility domain | R2 (R2 ∆) | Significant predictors | β | Partial correlations | ANOVA |
|---|---|---|---|---|---|
| Ambulatory volume | |||||
| Step 1 | 0.014 | Falls grade | 0.315 | 0.193 | p < 0.001 |
| Step 2 | 0.091 (0.077) | FES-I | − 0.311 | − 0.180 | |
| Step 3 | 0.109 (0.018) | Gender | − 0.142 | − 0.151 | |
| Step 4 | 0.192 (0.083) | ||||
| Ambulatory pattern | |||||
| Step 1 | 0.076 | Gender | 0.170 | 0.171 | p = 0.012 |
| Step 2 | 0.098 (0.022) | Age | − 0.157 | − 0.136 | |
| Step 3 | 0.099 (0.001) | ||||
| Step 4 | 0.102 (0.003) | ||||
| Postural transitions | |||||
| Step 1 | 0.041 | Gender | − 0.157 | − 0.158 | p = 0.010 |
| Step 2 | 0.061 (0.020) | ||||
| Step 3 | 0.086 (0.025) | ||||
| Step 4 | 0.104 (0.018) | ||||
| Sedentary volume | |||||
| Step 1 | 0.076 | Age | 0.228 | 0.197 | p = 0.003 |
| Step 2 | 0.091 (0.015) | FGA | − 0.222 | − 0.142 | |
| Step 3 | 0.092 (0.000) | Gender | 0.159 | 0.161 | |
| Step 4 | 0.118 (0.027) | ||||
| Sedentary pattern | |||||
| Step 1 | 0.095 | Gender | − 0.273 | − 0.271 | p = 0.002 |
| Step 2 | 0.103 (0.008) | TUG | − 0.158 | − 0.134 | |
| Step 3 | 0.109 (0.006) | ||||
| Step 4 | 0.124 (0.015) | ||||
Step 1: age, gender, BMI; step 2: FGA, TUG; step 3: fall status, falls grade; step 4: FES-I, ABC-d, SF-12, MoCA. Resultant model R2 for each domain is highlighted in bold font
FES-I Falls Efficacy Scale-International, FGA Functional Gait Assessment score, TUG Timed Up and Go test, ABC-d Activities-specific Balance Confidence scale (ABC-d), SF-12 Short-Form Health Survey, MoCA Montreal Cognitive Assessment