Department of Epidemiology, University of Florida.
Center for Cognitive Aging and Memory, University of Florida.
Exp Clin Psychopharmacol. 2023 Dec;31(6):991-997. doi: 10.1037/pha0000637. Epub 2023 Jan 16.
Alcohol use can be measured in many ways, including objectively through transdermal alcohol biosensors (e.g., transdermal alcohol concentration; TAC) or blood biomarkers (e.g., phosphatidylethanol; PEth), or subjectively through self-report (e.g., with the timeline followback; TLFB). However, it is unclear which measures best indicate changes in alcohol use within individuals following intervention, and if they have concurrent validity. In the context of contingency management (CM) with a goal of 30-day abstinence ( = 45, 60% male, 80% Black; = 56.7; 58% with HIV), we examined relationships among changes in TAC-AUC (area under the curve, reflecting volume consumed), PEth, and self-reported number of drinks. The Secure Continuous Remote Alcohol Monitor Continuous Alcohol Monitoring (SCRAM-CAM) biosensor was used to collect TAC-AUC during a pre-CM period (∼7 days) and over a 30-day CM period. PEth was collected at baseline and 30-day follow-up. Number of drinks was self-reported through a 30-day TLFB at baseline and follow-up. Daily TAC-AUC and number of self-reported drinks were calculated for the pre-CM period and for the last 7 days of the CM period. Linear regression models controlling for baseline values revealed that change in TAC-AUC was significantly associated with change in PEth (β = 0.33, < .0001) and with change in number of self-reported drinks (β = 0.34, < .0001). Change in PEth was significantly associated with change in number of self-reported drinks (β = 0.85, < .0001). We conclude that all three measures may be appropriate for measuring within-person change in alcohol use, while controlling for baseline values, in the context of a study testing an intervention such as CM. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
酒精使用可以通过多种方式进行测量,包括通过透皮酒精生物传感器(例如,透皮酒精浓度;TAC)或血液生物标志物(例如,磷脂酰乙醇;PEth)进行客观测量,或通过自我报告(例如,使用时间线回溯;TLFB)进行主观测量。然而,目前尚不清楚在干预后,哪种测量方法最能反映个体的酒精使用变化,以及它们是否具有同时效度。在以 30 天戒酒(=45,60%为男性,80%为黑人;=56.7;58%患有 HIV)为目标的条件管理(CM)背景下,我们研究了 TAC-AUC(曲线下面积,反映饮酒量)、PEth 和自我报告的饮酒量变化之间的关系。连续远程酒精监测器连续酒精监测(SCRAM-CAM)生物传感器用于在 CM 前(约 7 天)和 30 天 CM 期间收集 TAC-AUC。PEth 在基线和 30 天随访时收集。通过基线和随访时的 30 天 TLFB 自我报告饮酒量。在 CM 前和最后 7 天的 CM 期间计算每日 TAC-AUC 和自我报告的饮酒量。控制基线值的线性回归模型显示,TAC-AUC 的变化与 PEth 的变化(β=0.33,<.0001)和自我报告的饮酒量的变化(β=0.34,<.0001)显著相关。PEth 的变化与自我报告的饮酒量的变化显著相关(β=0.85,<.0001)。我们得出结论,在测试 CM 等干预措施的研究背景下,控制基线值时,所有三种测量方法都可能适用于测量个体的酒精使用变化。(PsycInfo 数据库记录(c)2023 APA,保留所有权利)。