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. Author manuscript; available in PMC: 2017 Jul 1.
Published in final edited form as: Cancer Prev Res (Phila). 2016 Apr 20;9(7):581–588. doi: 10.1158/1940-6207.CAPR-15-0408

Table 1.

Description of demographic characteristics

Characteristic Overall (N = 139) Control (N = 46) Low dose (N = 45) High dose (N = 48)
Age, y 34.3 ± 6.9 34.6 ± 7.5 35.2 ± 6.4 33.4 ± 6.8
Race
    White 118 (85%) 39 (85%) 40 (89%) 39 (81%)
    Other 21 (15%) 7 (15%) 5 (11%) 9 (19%)
Education
    ≤High school 4 (3%) 3 (7%) 1 (2%) 0 (0%)
    Some college 40 (29%) 12 (26%) 13 (29%) 15 (31%)
    ≥College 95 (68%) 31 (67%) 31 (69%) 33 (69%)
Employed full time (% yes) 80 (58%) 24 (52%) 28 (62%) 28 (58%)
Marital status
    Single/divorced/separated 55 (40%) 23 (50%) 11 (24%) 21 (44%)
    Married/partnered 84 (60%) 23 (50%) 34 (76%) 27 (56%)
Children (% yes) 83 (60%) 24 (52%) 34 (76%) 52 (52%)
BRCA gene mutation status
    Positive 49 (35%) 14 (30%) 18 (40%) 17 (35%)
    Negative 12 (9%) 7 (15%) 2 (4%) 3 (6%)
    Not tested 78 (56%) 25 (55%) 25 (56%) 28 (59%)
Predicted breast cancer risk (%)
    Claus modela 24.5 ± 10.3 24.1 ± 10.1 24.3 ± 10.0 25.1 ± 11.0
    Gail modelb 22.6 ± 8.6 25.0 ± 10.2 21.4 ± 8.1 20.7 ± 5.9

NOTE: Values are mean ± SD or N (%).

a

N = 135, Claus score is not calculated for women who did not have a female first/second-degree relative with breast cancer.

b

N = 69, Gail score is not calculated for women ≤ 35 years.