Division of Pharmacology, Utrecht University, Utrecht, the Netherlands.
Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands.
Alcohol Clin Exp Res. 2018 Apr;42(4):691-697. doi: 10.1111/acer.13610. Epub 2018 Feb 27.
At a group level, hangover severity during the day has been described to follow an inverted U-shaped curve, with gradually increasing severity scores that, after reaching a peak, gradually decrease toward zero. The aim of this study was to examine if and how individual drinkers' hangover severity scores vary during the day.
Data from a survey (Penning et al., ) in which 727 drinkers reported on their latest alcohol hangover were reanalyzed. The temporal pattern of each individual's hangover was first categorized as belonging to 1 of 6 types based on predefined temporal characteristics.
Three dominant hangover patterns emerged as comprising more than 95% of the sample: (i) a continuous decline hangover (Severity Type 1 hangover, 54.5%), (ii) a steady state hangover (Severity Type 2 hangover, 19.1%), and (iii) an inverted U-shaped curve hangover (Severity Type 3 hangover, 21.8%). Of these 3 patterns, Severity Type 2 hangovers are associated with significantly less alcohol consumption and with having the lowest severity scores of individual hangover symptoms. Severity Type 1 hangovers are associated with having the highest severity of individual hangover symptoms. In line with significantly lower levels of alcohol consumption, Severity Type 2 hangovers were significantly more often observed in women when compared to men. Severity Type 1 hangovers were significantly more common in men than in women. Severity Type 3 hangovers, characterized by the increased presence of gastrointestinal complaints, were equally commonly experienced in men and women.
This study revealed that the temporal pattern of hangover severity can follow marked interindividual variability. Three common temporal patterns were identified, which are uniquely related to the amount of alcohol consumed and the presence and severity of different individual hangover symptoms. Better understanding of individual differences in hangover typology may help to delineate mechanisms underlying alcohol hangover.
在群体水平上,日间宿醉的严重程度已被描述为呈倒 U 形曲线,严重程度评分逐渐增加,达到峰值后逐渐降至零。本研究旨在检验个体宿醉者的严重程度评分是否以及如何在日间发生变化。
对一项调查(Penning 等人,)的数据进行了重新分析,该调查中 727 名饮酒者报告了他们最近的酒精宿醉情况。首先,根据预设的时间特征,将每个人的宿醉时间模式分为 6 种类型之一。
三种主要的宿醉模式占样本的 95%以上:(i)持续下降的宿醉(严重程度 1 型宿醉,54.5%),(ii)稳定状态的宿醉(严重程度 2 型宿醉,19.1%),和(iii)倒 U 型曲线的宿醉(严重程度 3 型宿醉,21.8%)。在这 3 种模式中,严重程度 2 型宿醉与饮酒量显著减少且个体宿醉症状的严重程度最低有关。严重程度 1 型宿醉与个体宿醉症状的严重程度最高有关。与饮酒量显著降低一致,严重程度 2 型宿醉在女性中比男性更常见。严重程度 1 型宿醉在男性中比女性更常见。严重程度 3 型宿醉以胃肠道不适症状的增加为特征,在男性和女性中同样常见。
本研究表明,宿醉严重程度的时间模式可能存在明显的个体间差异。确定了三种常见的时间模式,它们与饮酒量以及不同个体宿醉症状的存在和严重程度有关。更好地了解宿醉类型的个体差异可能有助于阐明酒精宿醉的潜在机制。