Table 4.
Logistic regression results of coping strategies
| Variables | Salary | Salary + Saving |
|---|---|---|
|
Household size |
1.091 *** |
0.255*** |
|
House income (baseline: <135K) | ||
| B: between 135K and 225K |
0.569 *** |
0.490*** |
| C: between 225K and 450K |
0.602 *** |
0.197*** |
| D: between 450K and 675K |
1.033 |
0.518*** |
| E: over 675K |
0.619 *** |
0.127*** |
|
Presence of chronic disease |
0.882 |
1.622 *** |
|
Presence of inpatient treatment |
1.317*** |
1.866 *** |
|
Public insurance coverage |
0.655 |
0.066 *** |
|
Private insurance coverage |
0.861 |
0.025 *** |
|
Regions (Offshore islands as baseline) | ||
| Northern area |
0.983 |
0.985 |
| Central area |
1.017 |
1.176 |
| Southern area |
1.034 |
1.144 |
| Eastern area | 0.928 | 0.769 |
Note: Numbers presented are “odds ratio”. ***statistically significant at 1%, **statistically significant at 5%. *statistically significant at 10%. In the first regression, the outcome variable “using salary (A)” was coded as 0, and “using other means (B-E)” was coded as 1. In the second regression, the outcome variable “salary or saving (A-B)” was coded as 0, and “other means (C-E)” was coded as 1.