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高强度饮酒的模式和预测因素及其干预意义。

Patterns and predictors of high-intensity drinking and implications for intervention.

机构信息

Institute for Social Research, University of Michigan.

Addiction Center, Department of Psychiatry, University of Michigan.

出版信息

Psychol Addict Behav. 2022 Sep;36(6):581-594. doi: 10.1037/adb0000758. Epub 2021 May 24.

Abstract

Efforts to intervene with subgroups at particularly high risk for alcohol use require information on factors that differentiate drinking intensity levels. This article summarizes existing research and provides new findings on sociodemographics and risk factors that differentiate high-intensity drinking (HID) to provide context for developing and delivering interventions for the highest-risk drinkers. Cross-sectional data were obtained in 2019 from participants who reported past 30-day alcohol use in 2018 as part of the nationally representative 12th grade Monitoring the Future study. Among past 2-week drinkers in 2019 ( = 601; modal age 19; 57.0% male; 67.4% non-Hispanic White), bivariate associations between drinking intensity (moderate drinking [1-4 drinks for women/1-5 drinks for men], binge-only drinking [4-7/5-9 drinks], and HID [8+/10+ drinks]) and a range of sociodemographic characteristics, risk factors, and alcohol-related consequences were examined. Results showed binge-drinking norms, social and enhancement drinking motives, nicotine vaping, and use of limiting/stopping drinking and manner of drinking protective behavioral strategies differentiated all drinking intensity levels, lending support to HID and binge-only drinking having an overlapping risk profile. However, there were also risk factors uniquely associated with HID, including sex, college attendance, employment, HID norms, use of serious harm reduction protective behavioral strategies, family history of drinking problems, any cigarette or drug use other than marijuana, and depression symptoms. Therefore, risk factors differentiate young adult drinking intensity. These results can inform efforts to adapt interventions for young adults who report HID. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

摘要

为了对酒精使用风险特别高的亚组进行干预,需要了解区分饮酒强度水平的因素。本文总结了现有的研究结果,并提供了关于区分重度饮酒(HID)的社会人口学和风险因素的新发现,为制定和实施针对高风险饮酒者的干预措施提供了背景。2019 年,作为全国代表性的 12 年级监测未来研究的一部分,从 2018 年报告过去 30 天饮酒情况的参与者中获得了横断面数据。在 2019 年过去两周有饮酒行为的参与者中(=601;模态年龄 19 岁;57.0%为男性;67.4%为非西班牙裔白人),在饮酒强度(适度饮酒[女性 1-4 杯/男性 1-5 杯]、仅 binge 饮酒[4-7/5-9 杯]和 HID[8+/10+ 杯])和一系列社会人口学特征、风险因素和与酒精相关的后果之间进行了双变量关联分析。结果表明,狂饮规范、社交和增强性饮酒动机、尼古丁蒸气、使用限制/停止饮酒和饮酒方式保护性行为策略区分了所有饮酒强度水平,这支持了 HID 和仅 binge 饮酒具有重叠的风险特征。然而,也有一些与 HID 相关的独特风险因素,包括性别、上大学、就业、HID 规范、使用严重减少伤害的保护性行为策略、有饮酒问题的家族史、除大麻以外的任何香烟或药物使用以及抑郁症状。因此,风险因素可以区分年轻成年人的饮酒强度。这些结果可以为针对报告 HID 的年轻成年人的干预措施提供信息。(PsycInfo 数据库记录(c)2022 APA,保留所有权利)。

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