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. Author manuscript; available in PMC: 2020 Nov 1.
Published in final edited form as: Cancer Epidemiol Biomarkers Prev. 2020 Feb 17;29(5):1039–1048. doi: 10.1158/1055-9965.EPI-19-0348

Table 2.

Association of alcohol and tobacco use with mammographic density phenotypes.

Percent Density (%) Dense Area (cm2) Nondense Area (cm2)
N % β (95% CI) p β (95% CI) p β (95% CI) p
Alcohol use
 None 9413 40.1 Referent
 1–4 DPW 7238 30.9 0.08 (−0.58, 0.74) 0.8073 −0.30 (−1.29, 0.69) 0.5542 −1.94 (−3.41, −0.47) 0.0098
 5+ DPW 6805 29.0 0.45 (0.07, 0.83) 0.0195 0.28 (−0.41, 0.96) 0.4250 −3.71 (−7.06, −0.35) 0.0314
  p for trend 0.0149 0.2323 0.0189
Tobacco use
 Never 14233 60.7 Referent
 <1/2 PPD 2943 12.6 −0.02 (−0.48, 0.45) 0.9436 0.69 (0.03, 1.34) 0.0383 1.77 (−0.14, 3.69) 0.0693
 1/2–1 PPD 3587 15.3 −0.47 (−0.89, −0.04) 0.0322 0.08 (−0.52, 0.68) 0.7984 2.83 (0.64, 5.03) 0.0110
 1+ PPD 2693 11.5 −0.76 (−1.23, −0.28) 0.0021 −0.20 (−0.88, 0.49) 0.5731 4.37 (2.33, 6.40) <0.0001
  p for trend 0.0008 0.9340 <0.0001

All models were adjusted for age, age2, BMI, BMI2, BMI3, late adolescent BMI, age at menarche, age at first birth, parity, menopausal status, menopausal hormone therapy (MHT) use, first-degree relative with breast cancer, physical activity, and image batch. Effects were estimated using separate linear regression models of the square-root transformed phenotype in the Hologic and GE cohorts, and combined using restricted maximum likelihood (REML) random effects meta-analysis. Coefficients (β) and 95% confidence intervals (CI) were back-transformed to the original scale. DPW = drinks per week; PPD = packs per day; BMI = body mass index.