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. Author manuscript; available in PMC: 2013 Oct 1.
Published in final edited form as: J Steroid Biochem Mol Biol. 2012 Feb 24;132(1-2):73–79. doi: 10.1016/j.jsbmb.2012.02.002

Table 3.

Factors associated with the likelihood of being at high risk of developing breast cancer from logistic regression models.

Characteristic Univariate analyses
OR (95% CI)
Multivariable analysesa
OR (95% CI)
Age (years)
    <50 1.00 1.00
    50–59 2.72 (1.21–6.11) 2.43 (0.96–6.19)
    60–69 4.67 (1.82–12.0) 3.85 (1.31–11.3)
    70+ 14.0 (1.63–120) 6.93 (0.71–67.5)
BMI
    Normal (<25 kg/m2) 1.00 1.00
    Overweight (≥25 and <30 kg/m2) 2.45 (1.01–5.93) 2.51 (0.86–7.29)
    Obese (≥30 kg/m2) 1.47 (0.68–3.18) 1.88 (0.73–4.85)
DNA adduct ratio
    <77 1.00 1.00
    ≥77 9.92 (4.50–21.8) 8.03 (3.46–18.7)
a

The model included age, body mass index, and DNA adduct ratio