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Table 5 Regression results for demographic standardization of the concentration index

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

Variables Year 2010 Year 2014
Coefficient 95% CI P Coefficient 95% CI P
Income −0.088a −0.102 −0.074 < 0.001 −0.065a −0.079 −0.051 < 0.001
Age (ref. 15–30))
 30–40 0.060 0.047 0.073 < 0.001 0.056 0.043 0.070 < 0.001
 40–50 0.127 0.115 0.140 < 0.001 0.106 0.093 0.120 < 0.001
 50–60 0.179 0.165 0.193 < 0.001 0.180 0.166 0.195 < 0.001
  > 60 0.245 0.231 0.259 < 0.001 0.227 0.213 0.242 < 0.001
Gender (ref. female)
 Male −0.026 −0.034 −0.018 < 0.001 − 0.026 − 0.034 − 0.018 < 0.001
Education (ref. illiteracy)
 up to junior high school −0.077 − 0.088 − 0.066 < 0.001 − 0.105 −0.115 − 0.094 < 0.001
 up to vocational school −0.084 − 0.099 − 0.070 < 0.001 − 0.120 −0.134 − 0.106 < 0.001
 bachelor degree or above −0.070 − 0.095 −0.044 < 0.001 − 0.115 − 0.140 −0.090 < 0.001
Marital status (ref. single)
 Married −0.012 −0.023 − 0.001 0.028 − 0.005 −0.016 0.006 0.397
Occupation (ref. unemployment)
 Agricultural −0.028 −0.039 − 0.018 < 0.001 − 0.049 −0.061 − 0.038 < 0.001
 Self-employed −0.049 − 0.064 − 0.033 < 0.001 − 0.066 −0.080 − 0.051 < 0.001
 employees −0.038 − 0.049 − 0.027 < 0.001 − 0.050 −0.061 − 0.039 < 0.001
Residence (ref. rural)
 urban −0.024 −0.033 − 0.016 < 0.001 − 0.022 −0.030 − 0.013 < 0.001
Region (ref. west)
 Central 0.002 −0.009 0.013 0.719 −0.010 −0.020 0.001 0.079
 East −0.003 −0.012 0.007 0.579 −0.002 −0.011 0.008 0.068
 Constant 0.201 0.186 0.216 < 0.001 0.225 0.209 0.241 < 0.001
  R2 = 0.108 R2 = 0.121
  1. Note: acoefficient for income is the standardized concentration index
  2. Models in both year are controlled for age, gender, education, marital status, occupation, residence and region