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Table 3 Conditional logistic regression subgroup analysis for predisposing risk factors of breast cancer development

From: Female breast cancer incidence predisposing risk factors identification using nationwide big data: a matched nested case-control study in Taiwan

Predisposing risk factors

Age < 55

Age ≥ 55

AORa

95% CI

P

AORb

95% CI

P

Colorectal Cancer

1.25

0.47-3.32

0.648

1.18

0.69-2.00

0.548

Lung cancer

0.96

0.21-4.31

0.958

1.44

0.69-2.99

0.328

Thyroid cancer

2.57

1.22-5.40

0.013

1.23

0.47-3.25

0.670

Liver cancer

1.50

0.49-4.56

0.475

1.88

1.01-3.52

0.047

Cancer of corpus uteri

0.64

0.08-5.22

0.680

2.96

1.01-8.68

0.048

Ovary cancer

1.12

0.24-5.16

0.884

- c

–

–

Cervical cancer

1.12

0.47-2.68

0.802

1.24

0.66-2.32

0.505

Skin cancer

-c

–

–

1.29

0.36-4.64

0.701

Stomach cancer

7.45

1.00-55.36

0.0498

0.34

0.04-2.58

0.296

  1. AOR Adjusted-odds ratio, CI Confidence interval
  2. a Adjusted for colorectal cancer, lung cancer, thyroid cancer, liver cancer, cancer of corpus uteri, ovary cancer, cervical cancer, stomach cancer, hypertension, hypertension, hyperlipidemia, chronic liver disease, chronic kidney disease, diabetes, COPD, autoimmune diseases, cardiovascular disease, stroke, endometriosis, and obesity
  3. b Adjusted for colorectal cancer, lung cancer, thyroid cancer, liver cancer, cancer of corpus uteri, cervical cancer, skin cancer, stomach cancer, hypertension, hypertension, hyperlipidemia, chronic liver disease, chronic kidney disease, diabetes, COPD, autoimmune diseases, cardiovascular disease, stroke, endometriosis, and obesity
  4. c Omitted due to restricted sample size
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BMC Cancer

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