Table 3 The predictors of BSE 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

1.024 (0.966–1.085)

0.419

  

Income

1.000 (0.999–1.001)

0.892

  

Marital status

Married

0.816 (0.368–1.809)

0.617

  

Single

1.00 (ref)

   

Education

Undergraduate and diploma

0.624 (0.221–1.758)

0.372

  

Postgraduate

1.00 (ref)

   

Family history

Yes

2.645 (1.179–5.932)

0.018*

1.954 (0.777–4.912)

0.154

No

1.00 (ref)

   

Read/heard on BCS

Yes

1.032 (0.471–2.262)

0.936

  

No

1.00 (ref)

   

Knowledge

1.148 (1.071–1.231)

< 0.001*

1.092 (1.013–1.177)

0.021*

CHBMS subscale

Susceptibility

0.997 (0.897–1.109)

0.956

  

Seriousness

1.046 (0.968–1.131)

0.252

  

Benefit of BSE

1.099 (0.997–1.211)

0.058*

1.018 (0.913–1.135)

0.751

Barriers of BSE

0.877 (0.792–0.970)

0.011*

0.957 (0.852–1.076)

0.463

Confidence

1.139 (1.070–1.212)

< 0.001*

1.090 (1.017–1.168)

0.014*

Motivation

1.074 (0.983–1.173)

0.112*

1.002 (0.908–1.106)

0.966

  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 = 5.9, p = 0.650); Negelkerke R2 = 0.239, variance inflation factors (VIF) are less than five for all variables included in this model.
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