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主观酒精效应的语言:年轻人在醉酒感上是否存在差异?

The language of subjective alcohol effects: Do young adults vary in their feelings of intoxication?

机构信息

The Edna Bennett Pierce Prevention Research Center, The Pennsylvania State University.

College of Health and Human Development, The Pennsylvania State University.

出版信息

Exp Clin Psychopharmacol. 2021 Dec;29(6):670-678. doi: 10.1037/pha0000416. Epub 2020 Jul 16.

DOI:10.1037/pha0000416
PMID:32673050
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8073287/
Abstract

Among young adults, subjective feelings of alcohol's effects often guide risky decision making. The majority of studies measuring subjective effects have used singular indices ("How drunk do you feel?") which limits our understanding of young adults' full range of subjective states and their individual differences in subjective effects language. Toward a more in-depth understanding of the heterogeneity among alcohol users based on their subjective experiences of alcohol's effects, we identified latent classes of individuals based on their self-generated language describing feelings after drinking and compared these classes across demographic and drinking characteristics. Participants ( = 323, 54% women, 68% White, Ages 18-25 years) were recruited using Amazon's Mechanical Turk (MTurk). Participants listed words they would use to describe how they feel after drinking low, moderate, and heavy amounts of alcohol. Four latent classes of young adults emerged: "happy drinkers" (31%) primarily reported feeling "happy" when drinking; "relaxed drinkers" (24%) reported feeling happy, relaxed, and buzzed; "buzzed drinkers" (18%) reported feeling buzzed and dizzy; and "multiexperience drinkers" (27%) reported feeling buzzed, tipsy, drunk, and wasted. Relaxed drinkers indicated heavier alcohol use and buzzed drinkers reported lower drinking frequency. Classes did not differ by demographic characteristics. Young adult alcohol users can be distinguished based on the language they use to describe their feelings of intoxication. To continue to advance our understanding of subjective effects, it is necessary to take into account the full range of language used and how this language differs by young adult drinking behavior. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

摘要

在年轻人中,对酒精影响的主观感受往往会引导冒险的决策。大多数测量主观效应的研究都使用单一的指标(“你感觉有多醉?”),这限制了我们对年轻人的主观状态的全面理解以及他们在主观效应语言方面的个体差异。为了更深入地了解基于个体对酒精影响的主观体验而产生的酒精使用者的异质性,我们根据他们饮酒后自我生成的语言来识别个体的潜在类别,并比较这些类别在人口统计学和饮酒特征上的差异。参与者(n=323,54%为女性,68%为白人,年龄 18-25 岁)是通过亚马逊的 Mechanical Turk(MTurk)招募的。参与者列出了他们在喝了少量、适量和大量酒后会用来描述自己感觉的词语。四个潜在的年轻人类别出现了:“快乐饮酒者”(31%)主要在饮酒时报告感到“快乐”;“放松饮酒者”(24%)报告感到快乐、放松和兴奋;“兴奋饮酒者”(18%)报告感到兴奋和头晕;以及“多体验饮酒者”(27%)报告感到兴奋、微醺、醉酒和烂醉如泥。放松饮酒者的饮酒量较大,兴奋饮酒者的饮酒频率较低。不同类别在人口统计学特征上没有差异。基于他们用来描述醉酒感觉的语言,可以区分年轻的酒精使用者。为了继续推进对主观效应的理解,有必要考虑到使用的语言的全部范围,以及这种语言如何因年轻成人的饮酒行为而不同。(PsycInfo 数据库记录(c)2021 APA,保留所有权利)。

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本文引用的文献

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2
Simultaneous Alcohol and Marijuana Use Among College Students: Patterns, Correlates, Norms, and Consequences.大学生同时饮酒和吸食大麻:模式、相关因素、规范和后果。
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The use of crowdsourcing in addiction science research: Amazon Mechanical Turk.众包在成瘾科学研究中的应用:亚马逊土耳其机器人。
Exp Clin Psychopharmacol. 2019 Feb;27(1):1-18. doi: 10.1037/pha0000235. Epub 2018 Nov 29.
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Price elasticity of illegal versus legal cannabis: a behavioral economic substitutability analysis.非法与合法大麻的价格弹性:行为经济学替代分析。
Addiction. 2019 Jan;114(1):112-118. doi: 10.1111/add.14437. Epub 2018 Oct 10.
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