Table 2.
Pairwise correlation matrix of variables in main regressions.
| Variables | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Healthcare access | |||||||||||||
| 1. Healthcare quality | --- | ||||||||||||
| 2. Blood pressure check | 0.0514 * | --- | |||||||||||
| 3. Blood test | 0.0776 * | 0.4722 * | --- | ||||||||||
| 4. Vision exam | 0.0889 * | 0.2384 * | 0.2825 * | --- | |||||||||
| 5. Dental examination | 0.0705 * | 0.1620 * | 0.2006 * | 0.3196 * | --- | ||||||||
| 6. Breast exam (female only) | 0.0811 * | 0.1910 * | 0.2318 * | 0.2609 * | 0.1862 * | --- | |||||||
| Household registration | |||||||||||||
| 7. Household registration (hukou) type | −0.2394 * | −0.1091 * | −0.1199 * | −0.1913 * | −0.1425 * | −0.1873 * | --- | ||||||
| Demographic variables | |||||||||||||
| 8. Gender | −0.0179 | 0.0258 * | 0.0241 * | 0.1601 * | 0.0130 * | −0.0015 | −0.0141 | --- | |||||
| 9. Education | −0.0876 * | −0.1354 * | −0.1375 * | −0.2504 * | −0.1333 * | −0.2507 * | 0.2434 * | −0.2894 * | --- | ||||
| 10. Economic condition | 0.0394 * | 0.0565 * | 0.0588 * | 0.0740 * | 0.0624 | 0.0740 * | −0.1099 * | −0.0499 * | −0.1552 * | --- | |||
| 11. Ethnic minority | −0.0422 * | 0.0340 * | 0.0241 * | −0.0080 | −0.0022 | −0.0031 | 0.0397 * | 0.0058 | −0.0067 | −0.0166 | --- | ||
| 12. Religion | −0.0261 * | −0.0080 | −0.0242 * | 0.0101 | −0.0190 * | 0.0000 | 0.0111 | 0.0351 * | −0.0729 * | −0.0116 | 0.1394 * | --- | |
| 13. Having insurance or not | 0.0080 | 0.0486 * | 0.0525 * | 0.0362 * | 0.0336 * | 0.0389 * | 0.0128 | 0.0229 * | −0.0514 * | 0.0060 | 0.0060 | −0.0004 | --- |
Notes: As the number of non-missing observations was different across variables, the sequence length varies across each pair of variables when computing the correlation coefficients; * p < 0.01.