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Table 1 Clinical characteristics of the study population

From: Using machine learning to identify gene interaction networks associated with breast cancer

Variables

Control n (%)

BC case n (%)

X2

p value

Age, y

  

3.563

0.468

 25-

76(7.89)

62(6.51)

  

 35-

329(34.16)

302(31.69)

  

 45-

352(36.55)

364(38.2)

  

 55-

183(19)

200(20.99)

  

 65-

23(2.39)

25(2.62)

  

BMI, kg/m2

  

6.412

0.011

  ≤ 28

849(90.90)

799(87.23)

  

  > 28

85(9.10)

117(12.77)

  

WHR

  

3.344

0.067

  < 0.85

458(53.82)

389(49.30)

  

  ≥ 0.85

393(46.18)

400(50.70)

  

Age at menarche, y

  

1.036

0.596

 7–11

16(1.66)

11(1.15)

  

 12–13

231(24.01)

223(23.4)

  

  ≥ 14

715(74.32)

719(75.45)

  

Number of births

  

0.501

0.479

 0

25(2.63)

20(2.13)

  

  ≥ 1

926(97.37)

918(97.87)

  

Diabetes mellitus history

  

0.094

0.759

 Yes

32(3.36)

34(3.62)

  

 No

921(96.64)

906(96.38)

  

Plasma glucose, mM

  

0.593

0.441

  < 7

739(76.22)

776(95.45)

  

  ≥ 7

29(3.78)

37(4.55)

  

Smoking

  

2.406

0.121

 Yes

10(1.04)

18(1.89)

  

 No

950(98.96)

932(98.11)

  

Alcohol consumption

  

3.089

0.079

 Yes

3(0.31)

9(0.95)

  

 No

956(99.69)

939(99.05)

  

Menopause

  

6.251

0.012

 Yes

260(28.11)

309(33.48)

  

 No

665(71.89)

614(66.52)

  

Cholesterol, mmol/L

  

0.239

0.625

  ≤ 5.18

505(70.53)

500(69.35)

  

  > 5.18

211(29.47)

221(30.65)

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