Retrospective and Real-time Measures of the Quantity of E-cigarette Use: An Ecological Momentary Assessment Study.

Autor:	Yang JJ; Department of Biostatistics and Data Science, University of Texas Health Science Center, Houston, TX, USA., Ou TS; Department of Applied Health Science, School of Public Health, Indiana University-Bloomington, Bloomington, IN, USA., Lin HC; Department of Applied Health Science, School of Public Health, Indiana University-Bloomington, Bloomington, IN, USA., Kyung Nam J; Department of Health Promotion and Behavioral Sciences, University of Texas Health Science Center, Houston, TX, USA., Piper ME; Center for Tobacco Research & Intervention, Department of Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA., Buu A; Department of Health Promotion and Behavioral Sciences, University of Texas Health Science Center, Houston, TX, USA.
Jazyk:	angličtina
Zdroj:	Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco [Nicotine Tob Res] 2023 Aug 23; Vol. 25 (10), pp. 1667-1675.
DOI:	10.1093/ntr/ntad094
Abstrakt:	Introduction: Quantifying e-cigarette use is challenging because of the wide variety of products and the lack of a clear, objective demarcation of a use event. This study aimed to characterize the difference between retrospective and real-time measures of the quantity of e-cigarette use and identify the covariates that may account for discrepancies between the two types of measures. Methods: This study analyzed data from 401 college student e-cigarette users in Indiana and Texas who responded to a web survey (retrospective) and 7-day ecological momentary assessments (EMA) (real-time) on their e-cigarette use behavior, dependence symptomatology, e-cigarette product characteristics, and use contexts from Fall 2019 to Fall 2021. Generalized linear mixed models were used to model the real-time measures of quantity offset by the retrospective average quantity. Results: Although the number of times using e-cigarettes per day seems to be applicable to both retrospective and real-time measures, the number reported via EMA was 8.5 times the retrospective report. E-cigarette users with higher e-cigarette primary dependence motives tended to report more daily nicotine consumption via EMA than their retrospective reports (ie, perceived average consumption). Other covariates that were associated with discrepancies between real-time and retrospective reports included gender, nicotine concentration, using a menthol- or fruit-flavored product, co-use with alcohol, and being with others when vaping. Conclusions: The study found extreme under-reporting of e-cigarette consumption on retrospective surveys. Important covariates identified to be associated with higher than average consumption may be considered as potential targets for future vaping interventions. Implications: This is the first study that characterizes the direction and magnitude of the difference between retrospective and real-time measures of the quantity of e-cigarette use among young adults-the population most likely to use e-cigarettes. An average retrospective account of vaping events per day may significantly underestimate e-cigarette use frequency among young adults. The lack of insight into the degree of consumption among users with heavy primary dependence motives illustrates the importance of incorporating self-monitoring into cessation interventions. (© The Author(s) 2023. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
Databáze:	MEDLINE
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