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Table 1 Odds ratio estimation to assess the association between breast cancer (BC) and DNA repair capacity (DRC) and other selected variables in women with BC (n=285) and women without BC (n=539)

From: The association of DNA Repair with breast cancer risk in women. A comparative observational study

Variable

Women with BC n (mean)

Women without BC n (mean)

Crude OR1

Adjusted OR2

P value

 

(95% CI)

(95% CI)

 

Age (continuous)*

285 (56.7)

539 (52.4)

1.02 (1.02,1.04)

1.02 (1.01, 1.05)

0.001

Number of children

273(2.4)

517 (2.1)

1.2 (1.1, 1.3)

1.1 (1.0, 1.3)

0.055

# Missing (34)

Increasing BMI (continuous)*

284 (27.8)

534 (27.2)

1.02 (0.9, 1.1)

1.03 (1.0, 1.1)

0.118

# Missing (6)

Family history of BC

  Yes

64

78

1.7 (1.2, 2.5)

1.7 (1.0, 2.8)

0.054

  No

221

461

   

Marital status

  Married

154

362

Referent

Referent

 

  Single

61

92

4.2 (2.2, 7.8)

5.9 (2.3, 15.6)

<0.001

  Divorced

40

66

2.7 (1.4, 5.3)

3.6 (1.2, 10.5)

0.025

  Widow

30

17

2.9 (1.4, 5.9)

4.6 (1.6, 13.7)

0.006

# Missing (2)

Irregular menstrual cycles

  Yes

183

320

1.2 (0.9,1.6)

1.4 (0.8, 2.2)

0.207

  No

102

213

   

# Missing (6)

History of pregnancy

  Yes

220

401

1.2 (0.8,1.6)

1.4 (0.8,2.2)

0.382

  No

65

138

   

History of breastfeeding

  Yes

122

246

0.8 (0.6, 1.1)

0.8 (0.5, 1.2)

0.256

  No

118

194

   

# Missing (144)

Alcohol intake

  Yes

42

98

0.8 (0.6, 1.2)

0.8 (0.5, 1.7)

0.526

  No

243

441

   

Smoking

  Yes

37

48

1.6 (0.9, 2.4)

1.1 (0.6, 2.1)

0.707

  No

248

491

   
  1. *Mean values presented in parenthesis.
  2. Comparisons were measured with the crude1 and the adjusted2 multiple logistic regression odds ratio (OR)3 in the total sample divided by patients and women without breast cancer.
  3. 1Crude or unadjusted analysis: The analysis is carried out without taking into consideration potential confounders.
  4. 2Adjusted analysis: The analysis is carried out adjusting for the potential effect of all confounding variables simultaneously by using logistic regression model. The associations were adjusted by DRC, age, body mass index, family history of breast cancer, number of children, marital status, and/or smoking.