Baseline characteristics, overall and by alcohol consumption habits
Variable | Total | Alcohol consumption | P value | |||
None | Low | Moderate | High | |||
N | 41 068 | 5475 | 17 761 | 9035 | 8797 | |
Mean age (SD) | 51.5 (15.9) | 56.4 (17.1) | 52.6 (15.9) | 50.2 (14.9) | 47.8 (15.3) | <0.001 |
Women, n (%) | 26 613 (65) | 3839 (70) | 11 353 (64) | 5833 (65) | 5588 (64) | <0.001 |
University degree, n (%) | 11 497 (28) | 1086 (20) | 4401 (25) | 2904 (32) | 3106 (35) | <0.001 |
Ever smokers, n (%) | 16 437 (40) | 1040 (19) | 6566 (37) | 4130 (46) | 4701 (53) | <0.001 |
BMI, kg/m2 (SD) | 24.6 (3.5) | 24.9 (3.9) | 24.7 (3.6) | 24.5 (3.3) | 24.4 (3.3) | <0.001 |
Low physical activity, n (%) | 6320 (15) | 784 (14) | 2631 (15) | 1380 (15) | 1525 (17) | <0.001 |
Sleep duration, hours/night (SD) | 6.8 (1.0) | 6.9 (1.1) | 6.8 (1.0) | 6.8 (1.0) | 6.8 (1.0) | <0.001 |
Shift work, n (%) | 2315 (5.6) | 213 (4.2) | 1065 (6.0) | 518 (5.7) | 501 (5.7) | <0.001 |
Cardiovascular disease, n (%) | 4539 (11) | 822 (15) | 2109 (12) | 871 (10) | 737 (8.4) | <0.001 |
Differences in baseline variables across categories of alcohol consumption were assessed using one-way ANOVA or Kruskal-Wallis test for continuous variables and χ² test for categorical variables. Alcohol consumption was categorised into low consumption (<30 g/week among women and <51 g/week among men), moderate consumption (30–65 g/week among women and 51–104 g/week among men) and high consumption (>65 g/week among women and >104 g/week among men).
ANOVA, analysis of variance; BMI, body mass index.