Table 4.
Logistic regression model for assessing risk factor for falls. Data are provided as coefficient (B) values with standard errors (SE) and odds ratio (OR) with 95% CI. The model explained 49% of the variance in fall risk (pseudo R2=0.49).
| Predictor | B (SE) | OR (95% CI) | p-value |
|---|---|---|---|
| Previous fall | 1.99 (0.57) | 7.36 (2.39 to 22.69) | 0.001* |
| Age | 0.08 (0.04) | 1.09 (1.01 to 1.17) | 0.020* |
| Gender (F) | 1.32 (0.60) | 3.73 (1.14 to 12.16) | 0.016* |
| Coronary disease | 1.96 (0.61) | 7.07 (2.14 to 23.36) | 0.001* |
| Oxygen use | 1.04 (0.59) | 2.83 (0.88 to 9.08) | 0.080 |
Indicates significant difference between groups at p<0.05.