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.

^aRegression coefficients were adjusted for covariates as listed in the footnote of Table 2.

^bP_global values were obtained from regression models using alcohol consumption as a categorical exposure.

^cChange in absolute dense volume for every 10 g per day increase in alcohol consumption, from regression models with alcohol consumption as a continuous exposure.

^dP_trend values were obtained from regression models using alcohol consumption as a continuous exposure.

^eP_interaction 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.