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Table 2 Breast cancer risk factors, and associated regression coefficients ( β ), used in developing the alternative Gail-based models

From: Assessing risk of breast cancer in an ethnically South-East Asia population (results of a multiple ethnic groups study)

Risk factor

Categories

 

BCDDP

 

GAIL-SBSP

GAIL-SBSP (FULL)

S-GAIL-SBSP

E-GAIL-SBSP

  

Code

β

Code

β

β(CI)

β(CI)

β(CI)

Main effects

        

AGECAT (y)

<50

0

0.01081

0

0.01081

0.807

–

–

 

≥50

1

 

1

 

(–0.73 to 2.35)

  

AGEMEN (y)

≥14

0

0.09401

0

0.09401

0.240

0.238

0.204

 

12–13

1

 

1

 

(0.05 to 0.43)

(0.05 to 0.43)

(0.01 to 0.39)

 

<12

2

 

2

    

AGEFLB (y)

<20

0

0.21863

0

0.21863

0.185

0.183

0.170

 

20–24

1

 

1

 

(0.016 to 0.31)

(0.06 to 0.31)

(0.03 to 0.31)

 

25–29 or nulliparous

2

 

2

    
 

≥30

3

 

3

    

NUMREL

0

0

0.95830

0

0.95830

0.844

0.777

0.774

 

1

1

 

1

 

(–0.17 to 1.86)

(0.30 to 1.26)

(0.29 to 1.26)

 

≥2

2

 

2

    

NBIOPS

0

0

0.52926

0

0.52926

−15.877

–

–

 

1

1

 

1

 

(–16.28 to –15.47)

  
 

≥2

2

 

1

    

ATYPICAL

No

0

0.57405*

99

–

–

–

–

 

Yes

1

 

99

    

BMI (kg/m2)

< 23.0

–

–

0

–

–

–

0.380

 

23.0 – 27.4

  

1

   

(0.22 to 0.54)

 

≥ 27.5

  

2

    

PARITY

≥ 3

–

–

0

–

–

–

0.203

 

1 – 2

  

1

   

(0.03 to 0.38)

 

0

  

2

    

Interaction terms

        

NBIOPS x AGECAT

  

−0.28804

 

−0.28804

16.138

–

–

      

(Not estimatable)

  

AGEFLB x NUMREL

  

−0.19081

 

−0.19081

−0.059

–

–

      

(–0.61 to 0.50)

  
  1. * Given by Novotny et al (2006, Table 2) [6].