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Table 3 Parameter estimates from MAIHDA intersectional models for diabetes risk score (n = 2,253)

From: Intersectional analysis of social disparities in type 2 diabetes risk among adults in Germany: results from a nationwide population-based survey

 

Model 1. Simple intersectional model

Model 2. Intersectional interaction model

Estimate

(95% CI)

Estimate

(95% CI)

Fixed effects

    

Intercept

38.98

(35.04, 42.91)

36.00

(31.69, 40.24)

Sex/Gender

    

 Female (reference)

  

-

-

 Male

  

4.18

(0.06, 8.32)

History of migration

    

 No history of migration (reference)

  

-

-

 History of migration

  

-5.83

(-10.12, -1.67)

Educational level (CASMIN)

    

 High (reference)

  

-

-

 Middle

  

1.03

(-3.79, 5.93)

 Low

  

10.89

(5.74, 16.15)

Measures of variance

    

Between-strata variance

43.79

(13.79, 94.59)

8.57

(0.25, 28.60)

Within-strata variance

269.00

(247.37, 289.86)

269.09

(247.52, 289.98)

VPC (%)

14.00

 

3.09

 

PCV (%)

  

77.95

 

1-PCV (%)

  

22.05

 
  1. 95% CI = 95% confidence intervals; PCV = proportional change in the between-strata variance; VPC = variance partition coefficient