title: Using Ecological Momentary Assessment (EMA) to Assess Situation-Level Predictors of Alcohol Use and Alcohol-Related Consequences.
abstract: Ecological momentary assessment (EMA) has afforded several important advances in the field of alcohol research, including testing prominent models of alcohol abuse etiology in "high resolution." Using high-tech methods for signaling and/or assessment, such as mobile electronic diaries, personal data assistants, and smartphones, EMA approaches potentially can improve understanding of precipitants of drinking, drinking patterns, and consequences. For example, EMA has been used to study complex drinking patterns and dynamic predictors of drinking in near-real time. Compared with other methods, EMA can better sample and capture changes in these phenomena that occur in relatively short time frames. EMA also has several potential applications in studying the consequences of alcohol use, including physical, interpersonal, behavioral, and legal problems. However, even with all these potential capabilities, EMA research in the alcohol field still is associated with some limitations, including the potential for measurement reactivity and problems with acceptability and compliance. Despite these limitations, electronically based EMA methods are versatile and are capable of capturing data relevant to a variety of momentary influences on both alcohol use and consequences. Therefore, it will be exciting to fully realize the potential of future applications of EMA technologies, particularly if the associated costs can be reduced.
authors.affiliation: Center for Alcohol and Addiction Studies, Brown University, Providence, Rhode Island.
authors.forename: Tyler B
authors.initials: TB
authors.lastname: Wray
authors.affiliation: Center for Alcohol and Addiction Studies, Brown University, Providence, Rhode Island.
authors.forename: Jennifer E
authors.initials: JE
authors.lastname: Merrill
authors.affiliation: Center for Alcohol and Addiction Studies, Brown University, Providence, Rhode Island.
authors.forename: Peter M
authors.initials: PM
authors.lastname: Monti
mesh_terms: D000428:Alcohol Drinking; D006801:Humans; D018670:Monitoring, Ambulatory / Q000379:methods*; D017216:Telemedicine / Q000379:methods*