Table 1 Women factors associated with false-positive results in screening mammogram.

From: Factors associated with false-positive screening mammography in São Paulo, Brazil

Factors related to women¹

True-positives

False-positives

Multivariate analysis ²

N (%)

N (%)

Odds Ratio (95% CI)

Age

< 50

1028 (23.6)

2843 (51.3)

2.9 (1.2–6.9)

50–59

1927 (44.2)

1847 (33.3)

0.9 (0.4–1.8)

60–69

1175 (26.9)

609 (11)

0.7 (0.3–1.4)

70+

233 (5.3)

245 (4.4)

[Reference]

Skin color

Yellow

6 (0.3)

3 (0.1)

-

Black

88 (4.8)

95 (4.6)

-

White

1406 (76.4)

1576 (76.7)

-

Brown

340 (18.5)

382 (18.6)

-

Missing

2523

3488

-

Education

Illiterate

33 (3.5)

38 (3.4)

-

Incomplete primary school

321 (34.1)

290 (26.2)

-

Complete primary school

327 (34.7)

403 (36.4)

-

Complete secondary school

198 (21)

308 (27.8)

-

Graduated

63 (6.7)

67 (6.1)

-

Missing

3421

4438

-

Family history of cancer

Yes

729 (20.3)

631 (14.2)

0.6 (0.2–1.9)

No

2865 (79.7)

3814 (85.8)

[Reference]

Missing

769

1099

-

Skin type of breast

Thickened

201 (4.6)

583 (10.5)

1.5 (0.7–2.4)

Retracted

307 (7)

298 (5.4)

0.8 (0.2–2.6)

Normal

3855 (88.4)

4663 (84.1)

[Reference]

Breast density

Dense/predominant dense

944 (21.6)

2668 (48.1)

1.6 (1.5–1.9)

Fatty/predominant fatty

3419 (78.4)

2876 (51.9)

[Reference]

Hormonal therapy

Yes

1106 (25.3)

2659 (48)

1.4 (1.1–2.3)

No

3257 (74.7)

2885 (52)

[Reference]

Previous Radiotherapy

Yes

389 (8.9)

238 (4.3)

0.7 (0.3–1.7)

No

3974 (91.1)

5306 (95.7)

[Reference]

  1. 1The patient’s model (model 1) includes the variables: age, breast type, family history of cancer, hormonal therapy, previous radiotherapy, and skin type.
  2. 2Estimated by logistic regression analysis, adjusting for age, and considering the true-positive results as the reference category.
  3. The symbol “-” means that no measure of odds ratio was generated since the variables were not included in the logistic regression models.