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Table 9 Linear regression: Residuals predicted by ethnicity and ethnicity*factor scoresa

From: Measurement invariance testing of the PHQ-9 in a multi-ethnic population in Europe: the HELIUS study

 

Item:

1

2

3

4

5

6

7

8

9

 

Unstandardized regression coefficients

Men:

Dutch (ref)

         

South-Asian Surinamese*factor score

0.020

0.003

0.037

0.036

0.039

0.022

-0.018

-0.032

-0.025

African Surinamese*factor score

0.090

0.055

0.035

0.011

0.022

0.101

0.002

0.024

-0.001

Ghanaians*factor score

0.150

0.135

0.028

0.093

0.079

0.069

0.058

0.081

0.060

Turks*factor score

-0.022

-0.021

0.031

0.029

0.004

-0.020

-0.012

0.038

0.005

Moroccans* factor score

0.019

-0.002

0.014

-0.003

0.018

-0.027

0.035

-0.007

0.042

R2

0.014

0.009

0.002

0.009

0.006

0.009

0.002

0.004

0.003

Women:

Dutch (ref)

         

South-Asian Surinamese*factor score

-0.010

-0.011

0.022

-0.010

-0.028

-0.008

-0.016

-0.006

0.017

African Surinamese*factor score

0.032

0.025

0.037

0.004

0.017

0.005

0.010

-0.013

-0.007

Ghanaians*factor score

0.113

0.162

-0.045

-0.025

0.040

0.068

0.041

0.085

0.076

Turks*factor score

0.021

0.014

0.028

0.042

0.021

-0.024

-0.015

0.045

0.023

Moroccans*factor score

0.016

-0.008

0.044

0.020

0.034

-0.003

0.036

-0.005

0.017

R2

0.015

0.011

0.003

0.006

0.004

0.003

0.002

0.005

0.003

  1. Bold coefficients were significant at p < 0.05, b = unstandardized regression coefficients, R2 = explained variance by ethnicity and ethnicity*factor score
  2. aResiduals were obtained in a logistic regression models with PHQ-9 item scores as outcome variables, and PHQ-9 factor score as the predictor