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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