Table 2. Associations between alcohol consumption and volumetric mammographic density among all women.
β
(95% Confidence interval) |
||||||
---|---|---|---|---|---|---|
|
Absolute dense volume (cm3) |
Per cent dense volume (%) |
||||
Alcohol consumption (g per day) | N | % | Unadjusted | Multivariable adjusteda | Unadjusted | Multivariable adjusteda |
0 | 9728 | 18.3 | Ref. | Ref. | Ref. | Ref. |
0.1–4.9 | 13 437 | 25.3 | −0.6 (−1.5, 0.3) | −0.2 (−0.8, 1.1) | 1.0 (0.9, 1.2) | 0.3 (0.2, 0.4) |
5.0–9.9 | 19 659 | 37.1 | −1.6 (−2.4, −0.8) | 0.5 (−0.4, 1.4) | 1.2 (1.0, 1.3) | 0.3 (0.2, 0.4) |
10.0–19.9 | 3538 | 6.7 | −0.8 (−2.1, 0.5) | 0.9 (−0.5, 2.2) | 1.0 (0.8, 1.2) | 0.4 (0.3, 0.6) |
20.0–29.9 | 5635 | 10.6 | −1.7 (−2.8, −0.6) | 1.3 (0.2, 2.5) | 0.5 (0.3, 0.6) | 0.2 (0, 0.3) |
30.0–40.0 | 1063 | 2.0 | 1.6 (−0.5, 3.7) | 4.5 (2.2, 6.8) | 0.3 (0, 0.6) | 0.5 (0.2, 0.8) |
Pglobalb | <0.001 | <0.001 | <0.001 | <0.001 | ||
For every 10 g per day increasec | −0.2 (−0.5, 0.2) | 0.9 (0.5, 1.3) | 0 (0, 0.1) | 0.1 (0.02, 0.1) | ||
Ptrendd | 0.34 | <0.001 | 0.86 | 0.01 |
Abbreviations: β=regression coefficient; CI=confidence interval.
Regression coefficients were adjusted for age at mammography (5-year categories), body mass index (<25.0, 25.0–29.9, and ⩾30.0 kg m−2), family history of breast cancer in mother or sisters (yes, no), age at menarche (<13, 13, 14, and ⩾15 years), parity and age at first birth (nulliparous; 1–2 births, age at first birth<26 years; 1–2 births, age at first birth ⩾26 years, ⩾3 birth; age at first birth <26 years; ⩾3 births, age at first birth ⩾26 years), oral contraceptives use (never, ever), menopausal status (pre/postmenopausal), hormone replacement therapy use (never, past, current), education level (secondary school, high school, university or higher, other), smoking status (never, past, current), physical activity (<40.0, 40.0–44.9, 45.0–49.9, and ⩾50.0 metabolic equivalent hours per day), and ethnicity (having a European ancestry; yes or no).
Pglobal values were obtained from regression models using alcohol consumption as a categorical exposure.
Change in absolute dense volume for every 10 g per day increase in alcohol consumption, from regression models with alcohol consumption as a continuous exposure.
Ptrend values were obtained from regression models using alcohol consumption as a continuous exposure.