From: Using machine learning to identify gene interaction networks associated with breast cancer
Variables | Control n (%) | BC case n (%) | X2 | p value |
---|---|---|---|---|
Age, y | Â | Â | 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 | Â | Â | 6.412 | 0.011 |
  ≤ 28 | 849(90.90) | 799(87.23) |  |  |
  > 28 | 85(9.10) | 117(12.77) |  |  |
WHR | Â | Â | 3.344 | 0.067 |
  < 0.85 | 458(53.82) | 389(49.30) |  |  |
  ≥ 0.85 | 393(46.18) | 400(50.70) |  |  |
Age at menarche, y | Â | Â | 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 | Â | Â | 0.501 | 0.479 |
 0 | 25(2.63) | 20(2.13) |  |  |
  ≥ 1 | 926(97.37) | 918(97.87) |  |  |
Diabetes mellitus history | Â | Â | 0.094 | 0.759 |
 Yes | 32(3.36) | 34(3.62) |  |  |
 No | 921(96.64) | 906(96.38) |  |  |
Plasma glucose, mM | Â | Â | 0.593 | 0.441 |
  < 7 | 739(76.22) | 776(95.45) |  |  |
  ≥ 7 | 29(3.78) | 37(4.55) |  |  |
Smoking | Â | Â | 2.406 | 0.121 |
 Yes | 10(1.04) | 18(1.89) |  |  |
 No | 950(98.96) | 932(98.11) |  |  |
Alcohol consumption | Â | Â | 3.089 | 0.079 |
 Yes | 3(0.31) | 9(0.95) |  |  |
 No | 956(99.69) | 939(99.05) |  |  |
Menopause | Â | Â | 6.251 | 0.012 |
 Yes | 260(28.11) | 309(33.48) |  |  |
 No | 665(71.89) | 614(66.52) |  |  |
Cholesterol, mmol/L | Â | Â | 0.239 | 0.625 |
  ≤ 5.18 | 505(70.53) | 500(69.35) |  |  |
  > 5.18 | 211(29.47) | 221(30.65) |  |  |