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Table 2 Multivariate logistic regression analyses to determine which variables confound ethnicity

From: Ethnic minority women prefer strong recommendations to be screened for cancer

 

Step 1: Unadjusted ethnicity only

Step 2: Adjusted for socio-demographicsb

Step 3: Adjusted for socio-demographics; acculturation; language

Step 4: Adjusted for socio-demographics, acculturation, language; comprehension of health information

Ethnicitya

 White British

1.00

1.00

1.00

1.00

 Caribbean

2.56 [1.51–4.35]***

2.60 [1.47–4.60]*

2.24 [1.18–4.24]*

1.80 [0.89–3.63]

 African

4.66 [2.71–8.03]***

4.31 [2.46–7.54]**

2.90 [1.50–5.62]**

2.64 [1.34–5.23]**

 Pakistani

4.84 [2.80–8.36]***

2.90 [1.59–5.31]**

2.06 [1.09–3.91]*

1.83 [0.92–3.64]

 Indian

7.04 [3.98–12.45]***

4.43 [2.36–8.32]***

3.17 [1.64–6.14]**

2.69 [1.34–5.43]**

 Bangladeshi

13.59 [7.15–25.85]***

6.76 [3.33–13.71]***

5.22 [2.51–10.84]***

4.38 [2.01–9.51]***

Step: χ 2(df), p-value

-

35.95 (5), <.001

11.59 (3), .009

4.20 (3), .240

Full model: χ 2(df), p-value

98.20 (5), <.001

134.12 (10), <.001

145.72 (13), <.001

149.92 (16), <.001

Nagelkerke R2

.175

.233

.251

.257

  1. *p <.05, **p <.01, ***p <.001
  2. aOdds Ratio [95% Confidence Interval]
  3. bmarital status, employment and education