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将生态瞬时评估与物质使用研究中客观的、流动的行为和生理学测量相结合。

Combining ecological momentary assessment with objective, ambulatory measures of behavior and physiology in substance-use research.

机构信息

Clinical Pharmacology and Therapeutics Research Branch, National Institute on Drug Abuse, Intramural Research Program, National Institutes of Health, 251 Bayview Blvd., BRC Building, Suite 200, Baltimore, MD 21224, USA.

Clinical Pharmacology and Therapeutics Research Branch, National Institute on Drug Abuse, Intramural Research Program, National Institutes of Health, 251 Bayview Blvd., BRC Building, Suite 200, Baltimore, MD 21224, USA.

出版信息

Addict Behav. 2018 Aug;83:5-17. doi: 10.1016/j.addbeh.2017.11.027. Epub 2017 Nov 16.

Abstract

Whereas substance-use researchers have long combined self-report with objective measures of behavior and physiology inside the laboratory, developments in mobile/wearable electronic technology are increasingly allowing for the collection of both subjective and objective information in participants' daily lives. For self-report, ecological momentary assessment (EMA), as implemented on contemporary smartphones or personal digital assistants, can provide researchers with near-real-time information on participants' behavior and mood in their natural environments. Data from portable/wearable electronic sensors measuring participants' internal and external environments can be combined with EMA (e.g., by timestamps recorded on questionnaires) to provide objective information useful in determining the momentary context of behavior and mood and/or validating participants' self-reports. Here, we review three objective ambulatory monitoring techniques that have been combined with EMA, with a focus on detecting drug use and/or measuring the behavioral or physiological correlates of mental events (i.e., emotions, cognitions): (1) collection and processing of biological samples in the field to measure drug use or participants' physiological activity (e.g., hypothalamic-pituitary-adrenal axis activity); (2) global positioning system (GPS) location information to link environmental characteristics (disorder/disadvantage, retail drug outlets) to drug use and affect; (3) ambulatory electronic physiological monitoring (e.g., electrocardiography) to detect drug use and mental events, as advances in machine learning algorithms make it possible to distinguish target changes from confounds (e.g., physical activity). Finally, we consider several other mobile/wearable technologies that hold promise to be combined with EMA, as well as potential challenges faced by researchers working with multiple mobile/wearable technologies simultaneously in the field.

摘要

虽然药物使用研究人员长期以来一直将自我报告与实验室中行为和生理学的客观测量相结合,但移动/可穿戴电子技术的发展越来越允许在参与者的日常生活中同时收集主观和客观信息。对于自我报告,生态瞬时评估(EMA),如在当代智能手机或个人数字助理上实施的那样,可以为研究人员提供有关参与者在其自然环境中行为和情绪的近乎实时的信息。测量参与者内部和外部环境的便携式/可穿戴电子传感器的数据可以与 EMA 相结合(例如,通过在问卷上记录的时间戳),以提供有助于确定行为和情绪的瞬时背景的客观信息,和/或验证参与者的自我报告。在这里,我们回顾了三种已与 EMA 相结合的客观动态监测技术,重点是检测药物使用和/或测量精神事件(即情绪、认知)的行为或生理相关性:(1)在野外采集和处理生物样本以测量药物使用或参与者的生理活动(例如,下丘脑-垂体-肾上腺轴活动);(2)全球定位系统(GPS)位置信息,将环境特征(紊乱/劣势、零售毒品销售点)与药物使用和影响联系起来;(3)动态电子生理监测(例如,心电图)以检测药物使用和精神事件,因为机器学习算法的进步使得从混淆因素(例如,身体活动)中区分目标变化成为可能。最后,我们考虑了其他几种有望与 EMA 结合使用的移动/可穿戴技术,以及同时在现场使用多种移动/可穿戴技术的研究人员面临的潜在挑战。

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