Oberlin College, Department of Psychology, 120 West Lorain Street, Oberlin, OH 44074, USA; Yale School of Medicine, Department of Psychiatry, 34 Park St., New Haven, CT 06519, USA.
Oberlin College, Department of Psychology, 120 West Lorain Street, Oberlin, OH 44074, USA.
Addict Behav. 2018 Apr;79:195-200. doi: 10.1016/j.addbeh.2017.12.017. Epub 2017 Dec 21.
Drinking at an early age (AO) and quickly progressing to drinking to intoxication (Delay=Age of Intoxication[AI]-AO) confer risk for alcohol use and alcohol-related problems. However, inconsistencies exist in the literature, which may reflect the use of different definitions of AO and AI. We evaluated whether 1) defining AO as age at first sip of alcohol (AO sip) versus age at which at least one standard drink was consumed (AO drink); and 2) defining AI as age at first "drunk" (AI drunk) versus age at first binge episode (≥5 standard drinks consumed; AI binge) resulted in different self-reported ages or differentially predicted drinking outcomes.
248 high school students (53.6% male; 16.50[1.19] years; 71.4% White) completed anonymous surveys assessing alcohol use.
Participants reported a younger AO (sip) than AO (drink) and a younger AI (drunk) than AI (binge), resulting in significantly different Delay values for the four AO-AI pairings. Univariate general linear models indicated that AO-Delay pairings accounted for more variance in maximum drinks and alcohol-related problems than did the individual AO and AI variables. Pairings comprising AO (drink) and Delay (drink-binge) and AO (sip) and Delay (sip-binge), respectively, uniquely accounted for variance in both maximum drinks and problems.
Clearly defining AO and AI using objective definitions that reflect specific amounts of alcohol (e.g., first sip; first standard drink; first binge) appears to outperform subjective definitions of alcohol use (e.g., first drunk).
早年饮酒(AO)且迅速发展为醉酒饮酒(Delay=醉酒年龄[AI]-AO)会增加饮酒和与酒精相关问题的风险。然而,文献中存在不一致之处,这可能反映了 AO 和 AI 的不同定义的使用。我们评估了以下两种情况:1)将 AO 定义为首次饮用酒精的年龄(AO 饮)与首次饮用至少一杯标准饮料的年龄(AO 饮);2)将 AI 定义为首次“醉酒”的年龄(AI 醉)与首次狂饮事件(≥5 标准杯摄入;AI binge)的年龄,是否会导致不同的自我报告年龄或不同程度地预测饮酒结果。
248 名高中生(53.6%为男性;16.50[1.19]岁;71.4%为白人)完成了匿名调查,评估了饮酒行为。
参与者报告的 AO(饮)比 AO(drink)年龄小,AI(醉)比 AI( binge)年龄小,导致四种 AO-AI 配对的延迟值存在显著差异。单变量一般线性模型表明,AO-Delay 配对比单独的 AO 和 AI 变量能更好地预测最大饮酒量和与酒精相关的问题。分别由 AO(drink)和 Delay(drink-binge)以及 AO(sip)和 Delay(sip-binge)组成的配对,可分别解释最大饮酒量和问题的变化。
使用反映特定酒精量的客观定义(例如,首次饮酒;第一标准饮料;首次狂饮)来明确定义 AO 和 AI,似乎优于使用主观定义的饮酒行为(例如,首次醉酒)。