Richards Veronica L, Mallett Kimberly A, Turrisi Robert J, Glenn Shannon D, Russell Michael A
TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences.
Edna Bennett Pierce Prevention Research Center, College of Health and Human Development, Pennsylvania State University.
Psychol Addict Behav. 2025 Mar;39(2):163-172. doi: 10.1037/adb0001054. Epub 2025 Jan 13.
Transdermal alcohol concentration (TAC) sensors provide a multidimensional characterization of drinking events that self-reports cannot. These profiles may differ in their associated day-level alcohol-related consequences, but no research has tested this. We address this using multilevel latent profile analysis.
Two hundred twenty-two young adults who regularly engage in heavy drinking ( = 22.3, 64% female, 79% non-Hispanic White) responded to surveys and wore TAC sensors for 6 consecutive days. We tested whether four previously identified TAC profiles: (1) high-fast (8.5% of days), (2) moderate-fast (12.8%), (3) low-slow (20.4%), and (4) little-to-no-drinking days (58.2%) differed in numbers of negative and positive consequences and in the odds that both consequence types occurred on the same day.
High-fast (incident rate ratio [IRR] = 6.18; IRR = 9.47) and moderate-fast (IRR = 3.71; IRR = 5.68) days contained more negative consequences compared to low-slow and little-to-no-drinking days. High-fast (IRR = 2.05), moderate-fast (IRR = 1.88), and low-slow (IRR = 1.43) days contained more positive consequences than little-to-no-drinking days. The odds of having only positive consequences were highest on low-slow, χ²(3) = 9.10, < .05, days but the odds of experiencing both consequence types increased on moderate-fast and high-fast days, χ²(3) = 39.63, < .001.
Compared to little-to-no-drinking days, TAC profiles indicative of drinking (high-fast, moderate-fast, and low-slow) contained more negative and positive consequences. However, the odds of experiencing positive consequences were highest among low-slow days and decreased on moderate-fast and high-fast days as the odds of negative consequences rose. These findings provide novel evidence reinforcing harm reduction approaches that seek to maximize positives and minimize negatives of alcohol consumption through emphasis on slow-paced, low-volume drinking. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
经皮酒精浓度（TAC）传感器能提供自我报告所无法呈现的饮酒事件的多维度特征。这些特征在与其相关的每日酒精相关后果方面可能存在差异，但尚无研究对此进行验证。我们采用多层次潜在特征分析来解决这一问题。
222名经常大量饮酒的年轻人（平均年龄 = 22.3岁，64%为女性，79%为非西班牙裔白人）参与了调查，并连续6天佩戴TAC传感器。我们测试了先前确定的四种TAC特征：（1）高快型（占天数的8.5%），（2）中快型（12.8%），（3）低慢型（20.4%），以及（4）极少饮酒或不饮酒日（58.2%）在负面和正面后果数量以及两种后果类型在同一天出现的几率上是否存在差异。
与低慢型和极少饮酒或不饮酒日相比，高快型（发生率比[IRR] = 6.18；IRR = 9.47）和中快型（IRR = 3.71；IRR = 5.68）日包含更多负面后果。高快型（IRR = 2.05）、中快型（IRR = 1.88）和低慢型（IRR = 1.43）日比极少饮酒或不饮酒日包含更多正面后果。仅出现正面后果的几率在低慢型日最高，χ²(3) = 9.10，p <.05，但在中快型和高快型日同时出现两种后果类型的几率增加，χ²(3) = 39.63，p <.001。
与极少饮酒或不饮酒日相比，表明饮酒的TAC特征（高快型、中快型和低慢型）包含更多负面和正面后果。然而，在低慢型日出现正面后果的几率最高，而在中快型和高快型日，随着负面后果几率上升，出现正面后果的几率下降。这些发现提供了新的证据，支持通过强调慢节奏、少量饮酒来最大化饮酒的积极方面并最小化消极方面的减少伤害方法。（PsycInfo数据库记录（c）2025美国心理学会，保留所有权利）
