Table 4:
Cox regression to evaluate the effect of health insurance on survival
| Independent variables | Dependent variable: survival time | ||
|---|---|---|---|
| Model III | Model IV | Model V | |
| Type of insurance | 0.5889 (0.3058) | 0.6253 (0.3247) | 0.3417 (0.4973) |
| Gender | 0.9933 (0.2356) | 1.0771 (0.2835) | 0.7100 (0.1171) |
| Age (yr) | 1.0258** (0.0122) | 1.0279** (0.0126) | 1.0542* (0.0425) |
| Place of residence | 1.3983 (0.4484) | 1.6895 (0.5647) | 1.8050 (0.4748) |
| Marital status | 1.2328 (0.4454) | 1.2029 (0.4404) | 1.1251 (1.6336) |
| Travel time | 1.0022 (0.0031) | 1.0018 (0.0032) | 1.0027 (0.0084) |
| Work status | 0.9943 (0.2353) | 1.1471 (0.2818) | 1.3037 (0.3011) |
| Household expenditures | 0.9461* (0.0277) | 0.9388* (0.0269) | 0.9323* (0.0295) |
| Disability | 1.1403** (0.2821) | 1.1614** (0.1792) | |
| Chronic disease | 1.2843*** (0.2505) | 1.2798*** (0.3332) | |
| Health status | 1.2344* (0.2135) | 1.1727* (0.2656) | |
| Physical examination | 0.8201*** (0.2024) | ||
| Smoking habits | 1.0790* (3.8756) | ||
| Drinking habits | 1.1585 (0.3587) | ||
| Exercise habits | 0.7766** (0.1198) | ||
| LR (Chi square) | 17.33** | 22.79*** | 32.02*** |
| Number of observations | 587 | 584 | 533 |
Note: 1) Data in the table represent hazard ratio, and the numbers in the parentheses represent standard deviations. 2) *, **, and *** denote the level of significance test by 10%, 5%, and 1%, respectively