2017
DOI: 10.1093/ntr/ntw383
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A method for classifying user-reported electronic cigarette liquid flavors

Abstract: Current studies on the use of flavored e-liquid have used unclear methods to collect and report information on the use of flavors. This study adds a proposed method for classifying the flavors in the e-liquids used most commonly by experienced e-cig users. With a clear and explicit method for classifying self-reported flavors, future study results may be more easily compared.

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Cited by 34 publications
(48 citation statements)
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“…Further, this finding persisted in the presence of a reduced exposure message and was replicated in the CPT measure of demand elasticity, suggesting a potential role for e-cigarette flavor. The differences in flavors examined could explain some of the discrepancies between studies: perhaps the difference in appeal between cherry and no flavor is greater than the difference in appeal between tobacco and menthol flavor, 30 which are more familiar flavors for cigarette smokers. Indeed, in additional post-hoc analyses combining data from both studies, we found that the difference in MCP crossover point between no flavor and cherry flavor was statistically significant (p = .02), but the difference between tobacco and menthol flavor was not significant (p = .10, results available from the authors upon request).…”
Section: Discussionmentioning
confidence: 99%
“…Further, this finding persisted in the presence of a reduced exposure message and was replicated in the CPT measure of demand elasticity, suggesting a potential role for e-cigarette flavor. The differences in flavors examined could explain some of the discrepancies between studies: perhaps the difference in appeal between cherry and no flavor is greater than the difference in appeal between tobacco and menthol flavor, 30 which are more familiar flavors for cigarette smokers. Indeed, in additional post-hoc analyses combining data from both studies, we found that the difference in MCP crossover point between no flavor and cherry flavor was statistically significant (p = .02), but the difference between tobacco and menthol flavor was not significant (p = .10, results available from the authors upon request).…”
Section: Discussionmentioning
confidence: 99%
“…For one, it is important to note that the literature does not have a consistent and standardised way to categorise flavours. Yingst and colleagues83 have attempted to identify such a classification system, which, if used by researchers, would allow results to be more easily compared across studies. This would also assist policymakers in regulating flavours more easily, as it is possible that some categories of flavours may be more appealing to youth than others.…”
Section: Discussionmentioning
confidence: 99%
“…There are nearly 500 brands of e-liquids, and over 7,000 flavors [ 72 ] available from online providers and locally owned shops. It is this wide selection of flavors and brands that contributes to the appeal for ECIG consumers [ 2 , 73 ]. While the number of options and flavors continues to increase, the impacts of heating the multitude of PG, VG and flavor combinations lags behind.…”
Section: Discussionmentioning
confidence: 99%