Table 3. Associations between alcohol consumption and absolute dense volume (cm3) stratified by 10-year breast cancer risk predicted by the Tyrer–Cuzick model.
Breast cancer risk <3.0% |
Breast cancer risk 3.0–4.9% |
Breast cancer risk ⩾5.0% |
|||||||
---|---|---|---|---|---|---|---|---|---|
Alcohol consumption (g per day) | N | % | β (95% CI)a | N | % | β (95% CI)a | N | % | β (95% CI)a |
0 | 5360 | 19.9 | Ref. | 3120 | 16.8 | Ref. | 1248 | 16.8 | Ref. |
0.1–4.9 | 7199 | 26.7 | 0 (−1.3, 1.3) | 4482 | 24.1 | 0.3 (−1.4, 1.9) | 1756 | 23.6 | 0.8 (−1.8, 3.4) |
5.0–9.9 | 9782 | 36.2 | 0 (−1.2, 1.3) | 7085 | 38.0 | 0.4 (−1.1, 1.9) | 2792 | 37.5 | 2.6 (0.2, 4.9) |
10.0–19.9 | 1721 | 6.4 | 0.7 (−1.3, 2.7) | 1307 | 7.0 | 0.3 (−1.9, 2.5) | 510 | 6.9 | 2.9 (−0.6, 6.3) |
20.0–29.9 | 2511 | 9.3 | 1.0 (−0.6, 2.7) | 2185 | 11.7 | 0.5 (−1.5, 2.4) | 939 | 12.6 | 4.6 (1.5, 7.7) |
30.0–40.0 | 424 | 1.6 | 3.0 (−0.3, 6.4) | 442 | 2.4 | 3.4 (−0.1, 6.9) | 197 | 2.6 | 10.8 (4.8, 17.0) |
Pglobalb | 0.37 | 0.57 | <0.001 | ||||||
For every 10 g per day increasec | 0.6 (0.1, 1.2) | 0.5 (−0.2, 1.1) | 2.4 (1.4, 3.5) | ||||||
Ptrendd | 0.05 | 0.15 | <0.001 | ||||||
Pinteractione | 0.003 |
Abbreviations: β=regression coefficient; CI=confidence interval.
Regression coefficients were adjusted for covariates as listed in the footnote of Table 2.
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.
Pinteraction was obtained from the non-stratified regression model by adding a product term between alcohol consumption and the 10-year breast cancer risk, as predicted with the use of the Tyrer–Cuzick prediction model.