Table 5.
Estimates from diagonal mobility models predicting chronic diseases
| China | Japan | South Korea | |
|---|---|---|---|
| Objective and subjective social class weight | |||
| Objective social status weight (p) | 0.170 (0.166) | 0.211 (0.481) | 0.936 (1.111) |
| Subjective social status weight (r) | 0.830*** (0.166) | 0.789 (0.481) | 0.0643 (1.111) |
| Consistent social status (OSS = SSS) | |||
| Lower status | 0.483*** (0.0992) | 0.218 (0.161) | 0.217 (0.215) |
| Lower-middle status | −0.0353 (0.0919) | −0.000525 (0.162) | 0.146 (0.221) |
| Upper-middle status | −0.0566 (0.0827) | −0.0666 (0.131) | −0.234 (0.477) |
| Upper status | −0.391*** (0.125) | −0.151 (0.101) | −0.129 (0.434) |
| Age | 0.167*** (0.0245) | 0.123*** (0.0272) | 0.128*** (0.0440) |
| Age square | −0.000972*** (0.000220) | −0.000608** (0.000238) | −0.000604 (0.000384) |
| Female (1 = yes) | 0.392*** (0.0798) | −0.121 (0.0938) | 0.319* (0.178) |
| Have health insurance | 0.0980 (0.138) | 0.655* (0.344) | 0.235 (0.341) |
| Marital status (Ref = Married or cohabiting) | |||
| Widowed, separated or divorced | 0.133 (0.128) | −0.0268 (0.148) | 0.217 (0.186) |
| Never married | −0.00882 (0.306) | 0.438** (0.170) | 0.273 (0.286) |
| Community type (Ref = A big city) | |||
| Suburbs or outskirts of a big city | −0.200 (0.178) | −0.289 (0.249) | 0.0213 (0.189) |
| A town or a small city | −0.272** (0.112) | −0.206 (0.231) | 0.108 (0.180) |
| Country | −0.0443 (0.142) | −0.381 (0.235) | 0.190 (0.230) |
***
p < 0.01,
**
p < 0.05,
*
p < 0.1