Table 3.
Multivariate regression analysis to predict NEWS subscales after controlling for covariates.
| Dependent variables | ||||
|---|---|---|---|---|
| Mixed land use | Walking hazard | Pedestrian safety | Perceived crime | |
| Beta (SE) | Beta (SE) | Beta(SE) | Beta (SE) | |
| Functional limitation (Y) | –0.19 (0.09)* | –0.26 (0.09)* | −0.14 (0.10) | −0.06 (0.09) |
| Covariates | ||||
| Fall in the past year | −0.14 (0.09) | 0.04 (0.11) | 0.06 (0.10) | 0.17 (0.10) |
| Numbness in feet | −0.06 (0.09) | −0.06 (0.10) | −0.11 (0.10) | −0.16 (0.11) |
| Medication, >3/day | 0.11 (0.09) | 0.19 (0.08)* | −0.02 (0.09) | −0.10 (0.10) |
| R2 | 11% | 13% | 9% | 7% |
Higher scores of neighborhoods walkability indicated the perception of greater mixed-land-use, fewer walking hazards, greater pedestrian safety and little crime. Bold values indicates a statistically significant level at p = 0.05.