Addiction Switzerland, Research Institute, Lausanne, Switzerland.
Idiap Research Institute, Martigny, Switzerland.
Addiction. 2018 Dec;113(12):2235-2244. doi: 10.1111/add.14370. Epub 2018 Jul 16.
The threshold of 4+/5+ drinks per occasion has been used for decades in alcohol research to distinguish between non-risky versus risky episodic drinking. However, no study has assessed the validity of this threshold using event-level data. This study aimed to determine the optimal thresholds for the detection of five acute alcohol-related consequences (hangover, blackout, risky sex, fights and injury) using data from two event-level studies.
An event-level study to assess the ability to use the number of drinks consumed to discriminate between nights with and without consequences using the area under the receiver operating characteristic (AUROC) curve. Optimal thresholds were determined using the Youden Index based on sensitivity and specificity. Separate thresholds were estimated for gender and age groups (16-17 versus 18-25).
Lausanne and Zurich, Switzerland.
Three hundred and sixty-nine participants aged 16-25 years.
On 3554 weekend nights, participants reported total number of alcoholic drinks consumed the previous night and acute consequences (hangover, blackout, risky sex, fights and injury) FINDINGS: Hangover was the most frequently reported consequence and injury the least for both genders. Throughout age groups and studies, optimal thresholds for any consequence, and for hangover only, were equal to 4+/5+ (40+/50+ g alcohol) while those for blackouts, risky sex, fights and injuries were up to three drinks higher. Adolescents tended to experience consequences more often and at slightly lower drinking levels than did adults. For all consequences but injuries, the optimal thresholds were one to two drinks lower for women than for men.
Event-level data collection techniques appear particularly suitable to estimate thresholds at which acute alcohol-related consequences occur. Binge drinking thresholds of 4+/5+ (women/men) drinks, equivalent to 40+/50+ g pure alcohol, predict the occurrence of consequences accurately in general but are too low to predict severe acute alcohol-related consequences.
几十年来,酒精研究一直使用 4+/5+ 个饮用来区分非风险和风险性间歇性饮酒。然而,尚无研究使用事件水平数据评估该阈值的有效性。本研究旨在使用两项事件水平研究的数据来确定检测五种急性酒精相关后果(宿醉、断片、高危性行为、打架和受伤)的最佳阈值。
一项事件水平研究,使用受试者工作特征曲线下的面积(AUROC)评估使用饮酒量来区分有无后果的夜晚的能力。最佳阈值是根据敏感性和特异性使用约登指数确定的。为性别和年龄组(16-17 岁与 18-25 岁)分别估计了单独的阈值。
瑞士洛桑和苏黎世。
369 名年龄在 16-25 岁的参与者。
在 3554 个周末晚上,参与者报告了前一天晚上饮用的总酒精饮料数量以及急性后果(宿醉、断片、高危性行为、打架和受伤)。
宿醉是最常见的报告后果,而受伤是最不常见的后果,无论性别如何。在所有年龄组和研究中,任何后果的最佳阈值,以及仅宿醉的最佳阈值,均等于 4+/5+(40+/50+g 酒精),而断片、高危性行为、打架和受伤的阈值则高出 3 个饮酒单位。青少年比成年人更频繁地经历后果,而且饮酒水平略低。对于所有后果,但不包括受伤,女性的最佳阈值比男性低 1-2 个饮酒单位。
事件水平数据收集技术似乎特别适合估计发生急性酒精相关后果的阈值。4+/5+(女性/男性)的 binge drinking 阈值,相当于 40+/50+g 纯酒精,通常可以准确预测后果的发生,但对于预测严重的急性酒精相关后果则太低。