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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