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Table 5 Decomposition of discrimination-related health inequalities between non-linking vs. linking social capital among marriage migrant women in South Korea

From: Discrimination-related health inequality and role of social capital among marriage migrant women in South Korea

 

Non-linking social capital (n = 39430)

Linking social capital (n = 1000)

 

β (SE)

\( \overline{x} \)

\( \beta \overline{x}/\mu \)

CI

Total

(%)

β (SE)

\( \overline{x} \)

\( \beta \overline{x}/\mu \)

CI

Total

(%)

Experiences of discriminationa

0.218 (0.12)

0.32

0.030

0.656

0.020

85.2

0.163 (0.07)*

0.43

0.028

0.549

0.015

194.9

Demographics

 Age

0.016 (0.00)

31.9

0.217

−0.004

−0.001

−3.3

0.021 (0.01)

35.1

0.300

0.010

0.003

39.1

 Length of residence (log)

0.097 (0.01)

3.40

0.142

0.014

0.002

8.4

0.052 (0.05)

4.00

0.083

0.023

0.002

23.7

 Country of origin: China

0.071 (0.01)

0.50

0.015

−0.004

−0.000

−0.3

−0.084 (0.09)

0.28

−0.009

−0.000

0.000

0.0

 Country of origin: Vietnam

0.102 (0.01)

0.27

0.012

−0.008

−0.000

−0.4

−0.070 (0.11)

0.14

−0.004

−0.116

0.000

5.7

 Income: <1 million KRW

0.284 (0.02)

0.18

0.022

0.052

0.001

5.0

0.262 (0.10)

0.20

0.021

0.011

0.000

2.9

 Income: 1–2 million KRW

0.146 (0.01)

0.38

0.024

0.010

0.000

1.0

0.173 (0.08)*

0.36

0.025

0.008

0.000

2.6

 Income: Missing

0.248 (0.02)

0.17

0.018

−0.011

−0.000

−0.8

0.126 (0.10)

0.16

0.008

−0.101

−0.001

−10.5

 Marital status: Separated

0.105 (0.03)

0.04

0.002

0.026

0.000

0.2

0.143 (0.19)

0.05

0.003

−0.044

−0.000

−1.6

 Marital status: Missing

−0.145 (0.03)

0.02

−0.001

−0.054

0.000

0.3

0.098 (0.28)

0.02

0.001

−0.113

−0.000

−1.3

 Education: ≥Bachelor’s degree

−0.077 (0.01)

0.21

−0.007

0.014

−0.000

−0.4

−0.087 (0.07)

0.43

−0.015

0.069

−0.001

−13.0

 Education: Missing

0.033 (0.05)

0.01

0.000

−0.019

−0.000

−0.0

−0.033 (0.44)

0.01

−0.000

0.050

−0.000

−0.1

 Economic activity: Employed

−0.042 (0.01)

0.32

−0.006

0.046

−0.000

−1.1

0.026 (0.07)

0.38

0.004

0.043

0.000

2.1

 Economic activity: Missing

−0.102 (0.04)*

0.01

−0.000

−0.055

0.000

0.1

−0.130 (0.30)

0.02

−0.001

−0.288

0.000

3.4

Additional variables

 Language proficiency

−0.022 (0.00)

8.29

−0.078

0.005

−0.000

−1.6

−0.030 (0.01)

8.99

−0.106

0.014

−0.002

−19.2

 Change of social position

−0.020 (0.00)

−0.46

0.004

0.204

0.001

3.4

−0.002 (0.02)

−0.73

0.001

0.130

0.000

0.9

 Protest against discrimination

0.033 (0.02)

0.09

0.001

0.684

0.000

3.8

−0.122 (0.10)

0.13

−0.006

0.598

−0.004

−49.3

Residual

    

0.000

0.6

    

−0.006

−80.4

Total

    

0.023

100.0

    

0.008

100.0

  1. Abbreviations: β regression coefficient, SE standard error, \( \overline{x} \) mean of determinants, μ mean of poor self-rated health, CI concentration index
  2. Source: 2009 National Survey of Multicultural Families, Republic of Korea
  3. Note: β (SE) and CI of each determinant were estimated by Equations (1) and (2), respectively. The reference groups were listed as follows: Others (country of origin), ≥2 million KRW (income), Married (marital status), Less than Bachelor’s degree (education), Unemployed (economic activity). The nonresponse weight provided from the data source was applied
  4. aExperiences of discrimination is a dichotomous variable (0 if a summary discrimination score is zero; else 1)
  5. * p < .05; p < .01; p < .001 (two-tailed test)