Swedish Council for Information on Alcohol and Other Drugs, Stockholm, Sweden.
Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Drug Alcohol Rev. 2022 Sep;41(6):1475-1483. doi: 10.1111/dar.13501. Epub 2022 Jun 7.
Understanding how the mean consumption per drinker and rates of non-drinking interplay to form overall per capita alcohol consumption is imperative for our understanding of population drinking. The aim of the present study is to examine the association between rates of non-drinkers and per drinker mean alcohol consumption in the Swedish adult population and for different percentiles of drinkers.
Data came from a monthly telephone survey of drinking habits in the Swedish adult population between 2002 and 2013. Alcohol consumption and non-drinking during the last 30 days were measured by beverage-specific quantity-frequency questions. Regression models estimated the association between the rate of non-drinkers and per drinker volume on annual data. Auto-regressive integrated moving average time-series models estimated the association on monthly data.
A significant (P < 0.01) negative association (-0.849) was found between the rate of non-drinkers and per drinker mean volume on annual data. A unit increase in non-drinking was associated with a decline of 0.85 cl of pure alcohol among drinkers. This finding was mirrored across all percentiles of consumption. The semi-log models found that a 1% unit increase in the rate of non-drinkers was followed by a 2% reduction in per drinker mean consumption. Auto-regressive integrated moving average time-series models verified these results.
There is a significant association between the proportion of non-drinkers and the amount of drinking among drinkers. The theory of collectivity of drinking cultures should also include the non-drinking part of the population.
了解每个饮酒者的平均消费量和不饮酒者的比例如何相互作用,从而形成总体人均酒精消费量,对于我们理解人口饮酒行为至关重要。本研究的目的是检验瑞典成年人群体中不饮酒者的比例与每个饮酒者的平均酒精消费量之间的关系,并考察不同饮酒者百分位数的情况。
数据来自于 2002 年至 2013 年期间对瑞典成年人群体每月饮酒习惯的电话调查。通过特定饮料的数量-频率问题来衡量过去 30 天的酒精消费和不饮酒情况。回归模型估计了在年度数据中不饮酒者的比例与每个饮酒者饮酒量之间的关联。自回归综合移动平均时间序列模型估计了月度数据中的关联。
在年度数据中,发现不饮酒者的比例与每个饮酒者的平均饮酒量之间存在显著的(P<0.01)负相关关系(-0.849)。不饮酒者每增加一个单位,与饮酒者中纯酒精量减少 0.85 厘升相关。这一发现反映在所有消费百分位数中。半对数模型发现,不饮酒者比例每增加 1%,每个饮酒者的平均饮酒量就会减少 2%。自回归综合移动平均时间序列模型验证了这些结果。
不饮酒者的比例与饮酒者的饮酒量之间存在显著关联。饮酒文化的集体性理论也应包括非饮酒人群。