Table 4 The predictors of CBE performance.

From: Knowledge and beliefs on breast cancer screening and uptake among Yemeni female school teachers in Malaysia

Variables

COR (95% CI)

P-value

AOR (95% CI)

P-value

Age

1.056 (0.994–1.122)

0.076

1.023 (0.956–1.094)

0.513

Income

1.001 (1.000–1.002)

0.058

1.001(1.000–1.002)

0.092

Marital status

Married

0.976 (0.420–2.267)

0.954

  

Single

1.00 (ref)

   

Education

Undergraduate and diploma

0.537 (0.190–1.524)

0.243

  

Postgraduate

1.00 (ref)

   

Family history

Yes

2.222 (0.964–5.125)

0.061

1.779 (0.715–4.427)

0.216

No

1.00 (ref)

   

Read/heard on BCS

Yes

5.412 (1.581–18.534)

0.007*

3.523 (0.962–12.895)

0.057

No

1.00 (ref)

   

Knowledge

1.114 (1.041–1.192)

0.002*

1.081 (1.005–1.163)

0.036*

CHBMS subscale

Susceptibility

1.051 (0.939–1.175)

0.386

  

Seriousness

1.026 (0.948–1.111)

0.524

  

Benefit of CBE

1.105 (0.964–1.266)

0.151

1.021 (0.875–1.193)

0.788

Barriers of CBE

0.879 (0.797–0.970)

0.010*

0.892 (0.802–0.992)

0.034*

Motivation

1.007 (0.925–1.097)

0.866

  
  1. *Significant for multiple logistic regression model (p < 0.05), ** Significant for simple logistic regression model (p ≤ 0.25). COR, Crude odds ratio; AOR, adjusted odds ratio; Assumptions of logistic regression have been met and the Hosmer–Lemeshow goodness-of-fit test indicated good fit (X2 = 9.3, p = 0.316); Negelkerke R2 = 0.652, variance inflation factors (VIF) are less than five for all variables included in this model.
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