Table 12.
Estimates from diagonal mobility models predicting chronic diseases The model for South Korea did not converge
| China | Japan | South Korea | |
|---|---|---|---|
| Objective and subjective social class weight | |||
| Objective social status weight (p) | 0.155 | −0.342 | - |
| (0.161) | (0.933) | - | |
| Subjective social status weight (r) | 0.845*** | 1.342 | - |
| (0.161) | (0.933) | - | |
| Social status | |||
| Lower status | 0.461*** | 0.134 | - |
| (0.0940) | (0.0995) | - | |
| Middle status | −0.0626 | −0.0251 | - |
| (0.0660) | (0.0607) | - | |
| Upper status | −0.399*** | −0.108 | - |
| (0.111) | (0.0892) | - | |
| Age | 0.167*** | 0.121*** | - |
| (0.0245) | (0.0271) | - | |
| Age square | −0.000973*** | −0.000587** | - |
| (0.000220) | (0.000235) | - | |
| Female | 0.395*** | −0.113 | - |
| (0.0797) | (0.0931) | - | |
| Have health insurance | 0.0960 | 0.644* | - |
| (0.138) | (0.345) | - | |
| Marital status (Ref = Married or cohabiting) | |||
| Widowed, separated or divorced | 0.131 | −0.0269 | - |
| (0.128) | (0.148) | - | |
| Never married | −0.00835 | 0.439** | - |
| (0.306) | (0.170) | - | |
| Community type (Ref = A big city) | |||
| Suburbs or outskirts of a big city | −0.198 | −0.299 | - |
| (0.178) | (0.249) | - | |
| A town or a small city | −0.270** | −0.203 | - |
| (0.111) | (0.231) | - | |
| Country | −0.0406 | −0.365 | - |
| (0.142) | (0.235) | - |
The model for South Korea did not converge
***
p < 0.01,
**
p < 0.05,
*
p < 0.1