Transdermal alcohol concentration features predict alcohol-induced blackouts in college students

IF 3 Q2 SUBSTANCE ABUSE Alcohol (Hanover, York County, Pa.) Pub Date : 2024-04-19 DOI:10.1111/acer.15290
Veronica L. Richards, Shannon D. Glenn, Robert J. Turrisi, Kimberly A. Mallett, Sarah Ackerman, Michael A. Russell
{"title":"Transdermal alcohol concentration features predict alcohol-induced blackouts in college students","authors":"Veronica L. Richards,&nbsp;Shannon D. Glenn,&nbsp;Robert J. Turrisi,&nbsp;Kimberly A. Mallett,&nbsp;Sarah Ackerman,&nbsp;Michael A. Russell","doi":"10.1111/acer.15290","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Alcohol-induced blackouts (AIBs) are common in college students. Individuals with AIBs also experience acute and chronic alcohol-related consequences. Research suggests that how students drink is an important predictor of AIBs. We used transdermal alcohol concentration (TAC) sensors to measure biomarkers of increasing alcohol intoxication (rise rate, peak, and rise duration) in a sample of college students. We hypothesized that the TAC biomarkers would be positively associated with AIBs.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Students were eligible to participate if they were aged 18–22 years, in their second or third year of college, reported drinking 4+ drinks on a typical Friday or Saturday, experienced ≥1 AIB in the past semester, owned an iPhone, and were willing to wear a sensor for 3 days each weekend. Students (<i>N =</i> 79, 55.7% female, 86.1% White, <i>M</i><sub>age</sub> = 20.1) wore TAC sensors and completed daily diaries over four consecutive weekends (89.9% completion rate). AIBs were assessed using the Alcohol-Induced Blackout Measure-2. Logistic multilevel models were conducted to test for main effects.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Days with faster TAC rise rates (OR = 2.69, 95% CI: 1.56, 5.90), higher peak TACs (OR <i>=</i> 2.93, 95% CI: 1.64, 7.11), and longer rise TAC durations (OR <i>=</i> 4.16, 95% CI: 2.08, 10.62) were associated with greater odds of experiencing an AIB.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>In a sample of \"risky\" drinking college students, three TAC drinking features identified as being related to rising intoxication independently predicted the risk for daily AIBs. Our findings suggest that considering how an individual drinks (assessed using TAC biomarkers), rather than quantity alone, is important for assessing risk and has implications for efforts to reduce risk. Not only is speed of intoxication important for predicting AIBs, but the height of the peak intoxication and the time spent reaching the peak are important predictors, each with different implications for prevention.</p>\n </section>\n </div>","PeriodicalId":72145,"journal":{"name":"Alcohol (Hanover, York County, Pa.)","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/acer.15290","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Alcohol (Hanover, York County, Pa.)","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/acer.15290","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SUBSTANCE ABUSE","Score":null,"Total":0}
引用次数: 0

Abstract

Background

Alcohol-induced blackouts (AIBs) are common in college students. Individuals with AIBs also experience acute and chronic alcohol-related consequences. Research suggests that how students drink is an important predictor of AIBs. We used transdermal alcohol concentration (TAC) sensors to measure biomarkers of increasing alcohol intoxication (rise rate, peak, and rise duration) in a sample of college students. We hypothesized that the TAC biomarkers would be positively associated with AIBs.

Methods

Students were eligible to participate if they were aged 18–22 years, in their second or third year of college, reported drinking 4+ drinks on a typical Friday or Saturday, experienced ≥1 AIB in the past semester, owned an iPhone, and were willing to wear a sensor for 3 days each weekend. Students (N = 79, 55.7% female, 86.1% White, Mage = 20.1) wore TAC sensors and completed daily diaries over four consecutive weekends (89.9% completion rate). AIBs were assessed using the Alcohol-Induced Blackout Measure-2. Logistic multilevel models were conducted to test for main effects.

Results

Days with faster TAC rise rates (OR = 2.69, 95% CI: 1.56, 5.90), higher peak TACs (OR = 2.93, 95% CI: 1.64, 7.11), and longer rise TAC durations (OR = 4.16, 95% CI: 2.08, 10.62) were associated with greater odds of experiencing an AIB.

Conclusions

In a sample of "risky" drinking college students, three TAC drinking features identified as being related to rising intoxication independently predicted the risk for daily AIBs. Our findings suggest that considering how an individual drinks (assessed using TAC biomarkers), rather than quantity alone, is important for assessing risk and has implications for efforts to reduce risk. Not only is speed of intoxication important for predicting AIBs, but the height of the peak intoxication and the time spent reaching the peak are important predictors, each with different implications for prevention.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
透皮酒精浓度特征可预测大学生因酒精引起的昏厥
酒精导致的昏厥(AIBs)在大学生中很常见。有 AIBs 的人还会经历与酒精相关的急性和慢性后果。研究表明,学生的饮酒方式是预测 AIBs 的一个重要因素。我们使用透皮酒精浓度(TAC)传感器测量了大学生样本中酒精中毒程度增加的生物标志物(上升速率、峰值和上升持续时间)。我们假设 TAC 生物标志物与 AIBs 呈正相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
5.40
自引率
0.00%
发文量
0
期刊最新文献
Santa Claus, the Tooth Fairy, and purported lifetime nondrinkers: Ramifications for observational evidence about alcohol and health. Alcohol hangovers as a predictor of the development of immune-related chronic diseases. Impaired or not impaired: The accuracy of the Montreal Cognitive Assessment in detecting cognitive impairment among patients with alcohol use disorder. Clinical characteristics of seizure recurrence and epilepsy development in patients with alcohol-related seizures. Closing the gaps in alcohol behavior change: A real-world study of a digital intervention.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1