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AbstractIntroduction and Aims. For consumers to follow drinking guidelines and limit their risk of negative consequences they need to track their ethanol consumption. This paper reviews published research on the ability of consumers to utilise information about the alcohol content of beverages when expressed in different forms, for example in standard drinks or units versus percentage alcohol content.Design and Methods. A review of the literature on standard drink definitions and consumer understanding of these, actual drink pouring, use of standard drinks in guidelines and consumer understanding and use of these.Results. Standard drink definitions vary across countries and typically contain less alcohol than actual drinks. Drinkers have difficulty defining and pouring standard drinks with over‐pouring being the norm such that intake volume is typically underestimated. Drinkers have difficulty using percentage alcohol by volume and pour size information in calculating intake but can effectively utilise standard drink labelling to track intake.Discussion and Conclusions. Standard drink labelling is an effective but little used strategy for enabling drinkers to track their alcohol intake and potentially conform to safe or low‐risk drinking guidelines.[Kerr WC, Stockwell T. Understanding standard drinks and drinking guidelines. Drug Alcohol Rev 2012;31:200–205]
360, Alcohol Drinking, Ethanol, Food Labeling, Reference Values, Alcoholic Beverages, 610, Humans, Guidelines as Topic, Alcohol-Related Disorders
360, Alcohol Drinking, Ethanol, Food Labeling, Reference Values, Alcoholic Beverages, 610, Humans, Guidelines as Topic, Alcohol-Related Disorders
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 148 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |