Univariate and multiple logistic regression for ethnic differences
| Falls | |||
| Relative risk | 95% CI | P values | |
| Model 1 | |||
| Ethnicity | |||
| Malay (reference) | |||
| Chinese | 1.19 | 0.89 to 1.59 | 0.230 |
| Indian | 1.44 | 1.08 to 1.92 | 0.012 |
| Model 2 | |||
| Ethnicity | |||
| Malay (reference) | |||
| Chinese | 1.12 | 0.83 to 1.50 | 0.451 |
| Indian | 1.38 | 1.03 to 1.84 | 0.030 |
| Age* | 1.03 | 1.01 to 1.04 | 0.001 |
| Female gender | 1.36 | 1.07 to 1.74 | 0.012 |
| Model 3 | |||
| Ethnicity | |||
| Malay (reference) | |||
| Chinese | 1.20 | 0.88 to 1.63 | 0.239 |
| Indian | 1.45 | 1.08 to 1.95 | 0.014 |
| Age* | 1.03 | 1.01 to 1.04 | 0.001 |
| Female gender | 1.31 | 1.01 to 1.70 | 0.038 |
| Single/widowed | 1.03 | 0.79 to 1.36 | 0.818 |
| Secondary/tertiary education | 1.28 | 0.99 to 1.66 | 0.061 |
Model 1: unadjusted.
Model 2: adjusted for age and gender.
Model 3: adjusted for age, gender, marital status and education level.
*Per year increase.