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Table 4 Odds ratios for logistic regression of self-assessed health with socioeconomic status variables

From: Improving health equity: changes in self-assessed health across income groups in China

Variables Year 2010 Year 2014
OR 95% CI P OR 95% CI P
Income (ref. the poorest)
 Lower 20% 0.847 0.753 0.953 0.006 0.953 0.838 1.083 0.459
 Medium 20% 0.734 0.649 0.830 < 0.001 0.838 0.731 0.961 0.012
 Higher 20% 0.630 0.554 0.716 < 0.001 0.799 0.697 0.916 0.001
 The richest 0.555 0.484 0.636 < 0.001 0.598 0.513 0.696 < 0.001
Age (ref. 15–30)
 30–40 2.982 2.377 3.742 < 0.001 3.538 2.624 4.771 < 0.001
 40–50 5.791 4.667 7.185 < 0.001 6.485 4.959 8.480 < 0.001
 50–60 7.883 6.358 9.774 < 0.001 10.782 8.283 14.033 < 0.001
 > 60 10.116 8.195 12.487 < 0.001 11.968 9.320 15.368 < 0.001
Gender (ref. female)
 Male 0.813 0.746 0.886 < 0.001 0.821 0.746 0.904 < 0.001
Marital status (ref. single)
 Married 0.936 0.825 1.062 0.307 0.985 0.857 1.131 0.826
Occupation (ref. unemployment)
 Agricultural 0.805 0.729 0.889 < 0.001 0.655 0.580 0.740 < 0.001
 Self-employed 0.517 0.413 0.648 < 0.001 0.509 0.416 0.622 < 0.001
 employees 0.558 0.477 0.654 < 0.001 0.544 0.464 0.637 < 0.001
Education (ref. illiteracy)
 up to junior high school 0.671 0.609 0.739 < 0.001 0.568 0.511 0.632 < 0.001
 up to vocational school 0.577 0.496 0.672 < 0.001 0.423 0.355 0.504 < 0.001
 bachelor degree or above 0.543 0.341 0.865 0.010 0.342 0.202 0.578 < 0.001
Residence (ref. rural)
 urban 0.820 0.749 0.899 < 0.001 0.839 0.759 0.927 < 0.01
Region (ref. west)
 Central 1.010 0.903 1.129 0.868 0.892 0.789 1.008 0.068
 East 0.961 0.865 1.067 0.455 0.931 0.831 1.043 0.217
 Constant 0.098 0.079 0.122 < 0.001 0.090 0.070 0.116 < 0.01
  R2 = 0.136 R2 = 0.154
  1. Note: weighted proportions accounting for sampling design were used. Models in both years controlled for age, gender, marital status, occupation, education, residence and region