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. 2018 May 29;361:k934. doi: 10.1136/bmj.k934

Table 4.

Number of events and hazard ratios for non-fatal coronary heart disease (CHD) and non-fatal stroke by levels of types of alcohol consumption at baseline (g/day)

Characteristic Wine intake Beer intake
Events Hazard ratio (95% CI) Events Hazard ratio (95% CI)
Non-fatal CHD
Non-drinkers 2932 1.14 (1.03 to 1.25) 4021 1.08 (0.98 to 1.18)
0.1-2.9 2823 1 (ref) 2733 1 (ref)
3.0-9.9 1869 0.86 (0.77 to 0.93) 1611 1.07 (0.97 to 1.19)
10.0-19.9 649 0.86 (0.75 to 0.98) 473 0.98 (0.84 to 1.15)
20.0-39.9 686 0.76 (0.66 to 0.86) 317 0.86 (0.71 to 1.04)
≥40.0 348 0.73 (0.61 to 0.87) 152 0.79 (0.59 to 1.05)
P value* <0.001 0.069
12 g/day increase 0.94 (0.91 to 0.97) 0.94 (0.89 to 0.99)
P value for trend <0.001 0.013
Non-fatal stroke
Non-drinkers 1764 1.13 (1.01 to 1.25) 2094 1.14 (1.03 to 1.26)
0.1-2.9 1671 1 (ref) 1829 1 (ref)
3.0-9.9 1398 0.95 (0.85 to 1.05) 1167 1.21 (1.08 to 1.35)
10.0-19.9 391 1.00 (0.85 to 1.16) 369 1.16 (0.98 to 1.37)
20.0-39.9 436 1.01 (0.87 to 1.17) 248 1.31 (1.07 to 1.60)
≥40.0 195 1.05 (0.84 to 1.30) 148 1.40 (1.06 to 1.84)
P value* 0.762 0.002
12 g/day increase 1.03 (0.99 to 1.07) 1.07 (1.03 to 1.12)
P value for trend 0.204 0.002

Models were mutually adjusted for wine, beer, spirits, and fortified wine, and stratified by centre and sex, and systematic adjustment was undertaken for age at recruitment, body mass index, height, physical activity, smoking status, and history of hypertension. Models for wine and beer consumptions were mutually adjusted, and also included spirits, liquors, and fortified wine consumption.

*

P value for the Wald test statistics compared with a χ2 distribution with four degrees of freedom, not including the category of alcohol subtype non-drinkers (<0.1 g/day).

P value for types of alcohol at baseline modelled as a linear variable, with inclusion in the model of indicator variables expressing alcohol subtype consumption.