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Table 3 Multilevel linear regression models for subjective physical and mental health, SOEP, Germany, 2018 (n = 18,520)

From: Decomposing intersectional inequalities in subjective physical and mental health by sex, gendered practices and immigration status in a representative panel study from Germany

 

Subjective physical health

Subjective mental health

est

95% CI

est

95% CI

 

M1

 

M3

Exposure

 Sex assigned at birth

  Male (ref.)

    

  Female

-0.41

[-0.71; -0.11]

-1.02

[-1.36; -0.68]

 Gendered social practices

  Masculine gendered practices (ref.)

    

  Androgynous

-0.26

[-0.58; 0.06]

-0.45

[-0.81; -0.08]

  Feminine

-0.52

[-0.90; -0.15]

-1.14

[-1.56; -0.71]

 Migration status

  Born in Germany or immigr. < 1950 (ref.)

    

  Not born in Germany

-0.30

[-0.62; 0.03]

0.05

[-0.33; 0.44]

  

M2

 

M4

Intersectional groups

 Immigrant females w/ masculine gendered practices

-0.95

[-1.68; -0.22]

-1.33

[-2.17; -0.49]

 Immigrant females w/ androgynous gendered practices

-1.23

[-1.96; -0.51]

-1.68

[-2.51; -0.84]

 Immigrant females w/ feminine gendered practices

-1.36

[-2.09; -0.64]

-1.80

[-2.63; -0.98]

 Immigrant males w/ masculine gendered practices

-0.21

[-1.00; 0.59]

-0.32

[-1.22; 0.59]

 Immigrant males w/ androgynous gendered practices

0.26

[-0.52; 1.04]

-0.64

[-1.54; 0.25]

 Immigrant males w/ feminine gendered practices

0.64

[-0.14; 1.42]

-1.06

[-1.95; -0.16]

 Non-immigrant females w/ masculine gendered practices

-0.31

[-0.77; 0.15]

-1.48

[-2.00; -0.96]

 Non-immigrant females w/ androgynous gendered practices

-0.65

[-1.10; -0.21]

-2.05

[-2.56; -1.54]

 Non-immigrant females w/ feminine gendered practices

-0.46

[-0.90; -0.02]

-2.51

[-3.01; -2.01]

 Non-immigrant males w/ masculine gendered practices (ref.)

    

 Non-immigrant males w/ androgynous gendered practices

0.44

[-0.04; 0.92]

-0.16

[-0.71; 0.39]

 Non-immigrant males w/ feminine gendered practices

-0.32

[-0.80; 0.16]

-0.62

[-1.17; -0.07]

  1. M1 & M3 include the exposure categories sex, gender and immigration status as separate variables. M2 & M4 use the exposure categories for intersectional groups defined by sex, gender and immigration status. All models are adjusted by age, socioeconomic status, region of residence in Germany (East vs. West Germany), marital status and chronic illness status