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E-cigarette Device and Liquid Characteristics and E-cigarette Dependence: A Pilot Study of Pod-based and Disposable E-cigarette Users

Overview
Journal Addict Behav
Date 2021 Sep 23
PMID 34555560
Citations 14
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Abstract

Background: E-cigarette device and liquid characteristics, such as electrical power output and liquid nicotine concentration, determine the rate at which nicotine is emitted from the e-cigarette (i.e., nicotine flux), and thus are likely to influence user nicotine dependence. We hypothesize that nicotine flux would be associated with the E-cigarette Dependence Scale (EDS) among pod-based and disposable e-cigarette products.

Methods: Data were obtained from online panel participants between 18 and 65 years of age, who had indicated that they were either former or current e-cigarette users and resided within the United States (N = 1036). To be included in these analyses, participants had to provide information regarding device type (pod-based or disposable), power (watts), and nicotine concentration (mg/mL), from which we could determine nicotine flux (µg/s) (N = 666). To assess the relationship between nicotine flux and EDS, a series of multivariable linear regressions were conducted. Each model was separated by device type and adjusted for by age and past 30-day e-cigarette use.

Results: Greater nicotine flux was associated with higher EDS scores among pod-based e-cigarette users (beta = 0.19, SE = 0.09, p-value = 0.043), but not users of disposable e-cigarettes. Neither power nor nicotine concentration were associated with EDS scores among users of either e-cigarette device type.

Conclusion: Results support the hypothesis that nicotine flux is positively associated with nicotine dependence in a sample of current users of pod-based and disposable e-cigarettes.

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References
1.
Grana R, Benowitz N, Glantz S . E-cigarettes: a scientific review. Circulation. 2014; 129(19):1972-86. PMC: 4018182. DOI: 10.1161/CIRCULATIONAHA.114.007667. View

2.
Dawkins L, Kimber C, Doig M, Feyerabend C, Corcoran O . Self-titration by experienced e-cigarette users: blood nicotine delivery and subjective effects. Psychopharmacology (Berl). 2016; 233(15-16):2933-41. DOI: 10.1007/s00213-016-4338-2. View

3.
McKelvey K, Baiocchi M, Halpern-Felsher B . Adolescents' and Young Adults' Use and Perceptions of Pod-Based Electronic Cigarettes. JAMA Netw Open. 2019; 1(6):e183535. PMC: 6324423. DOI: 10.1001/jamanetworkopen.2018.3535. View

4.
Hiler M, Breland A, Spindle T, Maloney S, Lipato T, Karaoghlanian N . Electronic cigarette user plasma nicotine concentration, puff topography, heart rate, and subjective effects: Influence of liquid nicotine concentration and user experience. Exp Clin Psychopharmacol. 2017; 25(5):380-392. PMC: 5657238. DOI: 10.1037/pha0000140. View

5.
Talih S, Balhas Z, Eissenberg T, Salman R, Karaoghlanian N, El Hellani A . Effects of user puff topography, device voltage, and liquid nicotine concentration on electronic cigarette nicotine yield: measurements and model predictions. Nicotine Tob Res. 2014; 17(2):150-7. PMC: 4837998. DOI: 10.1093/ntr/ntu174. View