Table 3. Multivariable Logistic Regression Analysis.
| Variable | B | P | Exp(B) | 95% CI for Exp(B) |
|
|---|---|---|---|---|---|
| Lower | Upper | ||||
| Age | -0.0.070 | 0.262 | 0.933 | 0.826 | 1.053 |
| Gender male | -1.001 | 0.297 | 0.368 | 0.056 | 2.412 |
| Cigarette smoking | 1.111 | 0.242 | 3.036 | 0.473 | 19.478 |
| Alcohol | -1.959 | 0.044 | 0.141 | 0.021 | 0.949 |
| Anemia | 1.583 | 0.020 | 4.868 | 1.282 | 18.485 |
| BMI | 0.046 | 0.394 | 1.047 | 0.942 | 1.185 |
| HbA1c | -0.800 | 0.025 | 0.450 | 0.223 | 0.906 |
| Podiatrist evaluation | -0.087 | 0.900 | 0.917 | 0.235 | 3.573 |
Multivariable logistic regression analysis showing association between the independent variables and falls. B: beta weight; P: significance; Exp(B): odds ratio; CI: confidence interval; BMI: body mass index; HbA1c: glycosylated hemoglobin.