Longitudinal dimensions of alcohol consumption and dietary intake in the Framingham Heart Study Offspring Cohort (1971-2008).
Longitudinal dimensions of alcohol consumption and dietary intake in the Framingham Heart Study Offspring Cohort (1971-2008).
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DOI：
10.1017/s0007114520002676
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发表时间：
2021-03-28
期刊：
影响因子：
--
通讯作者：
Makarem N
中科院分区：
文献类型：
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作者：
Parekh N;Lin Y;Chan M;Juul F;Makarem N
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、酗酒、饮料偏好以及这些指标在整个成人生命过程中的变化。我们根据弗雷明汉后代研究（n 4956；基线平均年龄 36.2 岁）研究了四十多年来美国老年人饮酒模式的纵向趋势及其与饮食的关系。从检查 1 到 8，每四年评估一次酒精摄入量（饮酒量/周、饮酒频率、具体饮料消耗量、饮酒量/场合）。参与者被分类为暴饮者、中度饮酒者或重度饮酒者（4+ 和 5+ 饮酒/次；女性和男性分别为 ≤1 和 ≤2 杯/天，>7 和 >14 杯/周）。膳食数据通过 FFQ 从第 5 次至第 8 次检查（1991-2008 年）中收集。我们使用线性混合效应模型评估饮酒模式的趋势，并使用异质方差模型比较不同饮酒模式的饮食摄入量。从 1971 年到 2008 年，酒精消费量有所下降（每周 3.7 盎司与 2.2 盎司；P < 0.05）。中度饮酒者（66 人对 59.3 %）、重度饮酒者（18.4 人对 10.5 %）和暴饮者（40.0 人对 12.3 %）的比例下降（P < 0.05）。虽然平均葡萄酒消费量有所增加（每周 1.4 杯 vs 2.2 杯），但啤酒（每周 3.4 杯 vs 1.5 杯）和鸡尾酒摄入量（每周 2.8 杯 vs 1.2 杯）却有所下降。与暴饮者相比，非暴饮者消耗的含糖饮料较少，全谷物较多，而后者在所有检查中消耗的总脂肪较多（P < 0.05）。不同饮酒水平的全谷物消费趋势存在显着性差异（P < 0.05）。总之，整个成年期的饮酒模式都不稳定。较高的摄入量通常与较差的饮食有关。这些分析支持流行病学研究中饮酒的细致入微的特征。
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.