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Table 3 Results of linear mixed model regression analysis of health of refugees, Germany, 2018

From: Association between housing and health of refugees and asylum seekers in Germany: explorative cluster and mixed model analysis

 

Model 1: MCS

 

Model 2: PCS

 

b (SE)

p-value

b (SE)

p-value

Fixed parts:

Constant

 

47.82** (1.35)

0.0000

67.89** (1.11)

0.0000

Age

 

-0.04 (0.03)

0.1561

-0.36** (0.02)

0.0000

Gender (female)

 

-1.98** (0.59)

0.0009

-3.65** (0.51)

0.0000

Origin

Syria

Ref

 

Ref

 

Afghanistan

-0.33 (0.94)

0.7241

0.37 (0.72)

0.6130

Eritrea

3.61** (1.27)

0.0045

2.53** (1.01)

0.0125

Iraq

1.08 (0.94)

0.2512

-1.02 (0.72)

0.1586

Stateless

0.44 (1.93)

0.8182

-0.31 (1.54)

0.8413

Other countries

1.17 (1.03)

0.2546

0.50 (0.81)

0.5386

Work / Education

 

1.68** (0.68)

0.0140

0.83 (0.56)

0.1409

Cluster*

Cluster 1

2.78** (0.83)

0.0008

-1.37* (0.60)

0.0227

Cluster 2

Ref

 

-1.14 (0.71)

0.1064

Cluster 3

3.63** (0.90)

0.0001

Ref

 

Cluster 4

3.70** (1.10)

0.0008

-2.49** (0.82)

0.0024

Random parts:

N (households)

 

1114

 

1114

 

ICC

 

0.27

 

0.03

 

Observations

 

1475

 

1475

 

R2

 

0.29

 

0.24

 
  1. Notes: MCS, mental health component score; PCS, physical health component score; ICC = intraclass correlation; Ref, reference category; * significant at p < 0.05, ** significant at p <0.017 (Bonferroni correction). Data based on IAB-BAMF-SOEP study (Kühne et al., 2019).*Cluster numbering used for reference to the text and Table 2 and 3
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BMC Public Health

ISSN: 1471-2458

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