Independent factors associated with influenza vaccination among elderly individuals in a multivariate analysis
| p Value | OR (95% CI) | |
|---|---|---|
| Education level | 0.001 | |
| No schooling | Reference | |
| Primary | 0.229 | 0.832 (0.616 to 1.123) |
| Junior middle school | 0.003 | 0.641 (0.476 to 0.864) |
| Senior middle school | 0.010 | 0.648 (0.466 to 0.899) |
| Above | 0.001 | 0.535 (0.375 to 0.763) |
| Perceived self-condition | 0.014 | |
| Bad | Reference | |
| Common | 0.256 | 0.864 (0.672 to 1.111) |
| Good | 0.009 | 0.703 (0.540 to 0.915) |
| Taking exercises | ||
| Rarely | Reference | |
| Regularly | <0.001 | 1.475 (1.246 to 1.745) |
| Best measure for preventing influenza | ||
| Vaccine | Reference | |
| Other methods (ventilation, exercise and traditional Chinese medicine) | <0.001 | 0.450 (0.381 to 0.531) |
Those variables with p<0.05 in bivariate analysis, overall seven variables, were included in multivariate logistic regression analysis. Backward logistic regression was conducted by removing variables with p>0.10, and five variables, as shown in the table, were left in the final regression model. Matched ORs and 95% CIs were calculated. All statistical tests were two-sided, and significance was defined as p<0.05. The statistic for each variable was obtained after adjustment for the other four variables in the final regression model.