Public Health Nutrition Program, NYU School of Global Public Health, New York, NY10003, USA.
Department of Population Health, NYU Langone School of Medicine, New York, NY10016, USA.
Br J Nutr. 2021 Mar 28;125(6):685-694. doi: 10.1017/S0007114520002676. Epub 2020 Sep 9.
Existing studies addressing alcohol consumption have not captured the multidimensionality of drinking patterns, including drinking frequency, binge drinking, beverage preference and changes in these measures across the adult life course. We examined longitudinal trends in drinking patterns and their association with diet over four decades in ageing US adults from the Framingham Offspring Study (n 4956; baseline mean age 36·2 years). Alcohol intake (drinks/week, drinking frequency, beverage-specific consumption, drinks/occasion) was assessed quadrennially from examinations 1 to 8. Participants were classified as binge drinkers, moderate drinkers or heavy drinkers (4+ and 5+ drinks/occasion; ≤1 and ≤2 drinks/d and >7 and >14 drinks/week for women and men, respectively). Dietary data were collected by a FFQ from examinations 5 to 8 (1991-2008). We evaluated trends in drinking patterns using linear mixed effect models and compared dietary intake across drinking patterns using heterogeneous variance models. Alcohol consumption decreased from 1971 to 2008 (3·7 v. 2·2 oz/week; P < 0·05). The proportion of moderate (66 v. 59·3 %), heavy (18·4 v. 10·5 %) and binge drinkers (40·0 v. 12·3 %) declined (P < 0·05). While average wine consumption increased (1·4 v. 2·2 drinks/week), beer (3·4 v. 1·5 drinks/week) and cocktail intake (2·8 v. 1·2 drinks/week) decreased. Non-binge drinkers consumed less sugary drinks and more whole grains than binge drinkers, and the latter consumed more total fat across all examinations (P < 0·05). There was a significant difference in consumption trends of total grains by drinking level (P < 0·05). In conclusion, alcohol drinking patterns are unstable throughout adulthood. Higher intakes were generally associated with poorer diets. These analyses support the nuanced characterisation of alcohol consumption in epidemiological studies.
现有的关于饮酒的研究尚未捕捉到饮酒模式的多维性,包括饮酒频率、狂饮、饮料偏好以及这些措施在成年期的变化。我们研究了 40 年来美国弗雷明汉后代研究(Framingham Offspring Study,n=4956;基线平均年龄 36.2 岁)中饮酒模式的纵向趋势及其与饮食的关系。从 1 到 8 次检查中每四年评估一次酒精摄入量(每周饮酒量、饮酒频率、饮料特定消耗量、每次饮酒量)。参与者被归类为狂饮者、适度饮酒者或重度饮酒者(女性和男性分别为 4+和 5+次/场合;≤1 和≤2 次/天和>7 和>14 次/周)。饮食数据通过第 5 至 8 次检查(1991-2008 年)的 FFQ 收集。我们使用线性混合效应模型评估饮酒模式的趋势,并使用异方差模型比较不同饮酒模式的饮食摄入。从 1971 年到 2008 年,酒精摄入量从 3.7 盎司/周下降到 2.2 盎司/周(P<0.05)。适度饮酒者(66%比 59.3%)、重度饮酒者(18.4%比 10.5%)和狂饮者(40.0%比 12.3%)的比例下降(P<0.05)。虽然葡萄酒的平均摄入量增加了(1.4 盎司/周比 2.2 盎司/周),但啤酒(3.4 盎司/周比 1.5 盎司/周)和鸡尾酒的摄入量减少了(2.8 盎司/周比 1.2 盎司/周)。非狂饮者比狂饮者摄入的含糖饮料少,摄入的全谷物多,而且在所有检查中后者摄入的总脂肪更多(P<0.05)。按饮酒水平划分,总谷物的摄入量趋势存在显著差异(P<0.05)。总之,饮酒模式在整个成年期都不稳定。较高的摄入量通常与较差的饮食有关。这些分析支持在流行病学研究中对饮酒行为进行细致的描述。