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Table 6 Results of multivariate logistic regression subgroup analyses; factors explaining variation in the test uptake for women with western non-Dutch and with a non-western non-Dutch ethnic background participating in the DELIVER study

From: Factors affecting the uptake of prenatal screening tests for congenital anomalies; a multicentre prospective cohort study

Ā 

CT Model

Ā 

FAS Model

Ā 

Western

(nā€‰=ā€‰336)

Ā 

(nā€‰=ā€‰399)

Ā 

Predictor

OR (95% CI)

p-value

OR (95% CI)

p-value

Protestantism

0.32 (0.13-0.80)

0.015

0.13 (0.05-0.34)

<0.001

Catholicism

Ā Ā 

0.27 (0.09-0.81)

0.020

Increasing age

2.00 (1.44-2.78)

<0.001

Ā Ā 

Above average income

1.97 (1.12-3.45)

0.018

Ā Ā 

East Region

0.44 (0.21-0.93)

0.033

Ā Ā 

First generation

2.91 (1.75-4.85)

<0.001

Ā Ā 

Non-Western

(nā€‰=ā€‰392)

Ā 

(nā€‰=ā€‰395)

Ā 

Predictor

OR (95% CI)

p-value

OR (95% CI)

p-value

Islam

Ā Ā 

0.37 (0.19-0.72)

0.003

Increasing age

1.73 (1.25-2.39)

0.001

Ā Ā 

Higher education

Ā Ā 

1.47 (1.02-2.14)

0.041

Limited proficiency in Dutch

2.18 (1.34-3.56)

0.002

Ā Ā 

First generation

Ā Ā 

0.27 (0.13-0.59)

0.001

  1. ORā€‰=ā€‰odds ratio; among women with a Western non-Dutch ethnic background: CT model: āˆ’2 log likelihoodā€‰=ā€‰367.412, 69% correctly predicted; FAS model: āˆ’2 log likelihoodā€‰=ā€‰164.002, 94% correctly predicted; among women with a non-Western non-Dutch ethnic background: CT model: āˆ’2 log likelihoodā€‰=ā€‰408.956, 75% correctly predicted; FAS model: āˆ’2 log likelihoodā€‰=ā€‰305.823, 85% correctly predicted.
  2. Reference categories per variable: Protestantism: not being a Protestant; Catholicism: not being a Catholic; Islam: not being a Muslim; Increasing age: 30Ā years or younger; Above average income: below average or average income; Higher education: low education; East region: West Region; Limited proficiency in Dutch: excellent proficiency in Dutch; First generation: second generation.