An Examination of Electronic Cigarette Content on Social Media: Analysis of E-Cigarette Flavor Content on Reddit

Wang, Lei; Zhan, Yongcheng; Li, Qiudan; Zeng, Daniel; Leischow, Scott J.; Okamoto, Janet

doi:10.3390/ijerph121114916

Cited by 85 publications

(96 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, perhaps the tobacco-flavored e-cigarette was more similar in taste to cigarettes, while the menthol e-cigarette may not have matched the flavor profile of menthol cigarettes as closely, or perhaps the specific brand of menthol-flavored e-cigarette liquid used was unappealing even to menthol-preferring smokers. 29 While the current analyses controlled for own-brand cigarette menthol preference, this variable’s coefficient was not significant and results were not sensitive to excluding it, suggesting that own-brand cigarette flavor preference did not drive the lower abuse liability of menthol e-cigarettes.…”

Section: Discussionmentioning

confidence: 70%

Effect of Flavors and Modified Risk Messages on E-cigarette Abuse Liability

et al. 2017

View full text Add to dashboard Cite

Objectives To measure e-cigarettes’ abuse liability compared to conventional tobacco cigarettes under flavor and message conditions amenable to regulation. Methods Two studies used 2×2 within-subjects designs with factors of e-cigarette flavor (Study 1: tobacco vs. menthol; Study 2: cherry vs. unflavored) and message (Study 1: reduced harm vs. no message; Study 2: reduced exposure to carcinogens vs. no message) with cigarette smokers (N(total) = 36). Linear mixed effects models assessed abuse liability for tobacco products. Outcomes included the price after which consumption is zero (the maximum amount participants would pay for a tobacco product) from the multiple choice procedure (MCP) and cigarette purchase task (CPT) and demand elasticity (price sensitivity) from the CPT. Results In the MCP, the price where consumption reached zero was significantly lower in all e-cigarette conditions except tobacco flavor (message or no message) compared to cigarettes (p < .05 each). Demand elasticity was significantly higher for menthol/no message and unflavored/reduced exposure message conditions relative to cigarettes (p < .05 each). Conclusions Flavors and modified risk messages included with e-cigarettes may affect e-cigarette abuse liability among smokers, suggesting regulatory pathways to influence demand for conventional and alternative tobacco products.

show abstract

Section: Discussionmentioning

confidence: 70%

Effect of Flavors and Modified Risk Messages on E-cigarette Abuse Liability

et al. 2017

View full text Add to dashboard Cite

show abstract

“…For current e-cigarette products, the flavor is reported to be an important ingredient and has been found to be an attractive factor to e-cigarette adopters, as well as potentially aiding with smoking abstinence (28,29). However, it has been well known that many flavors such as mint, vanilla and fruit flavors have the potential to degrade nicotine by oxidation reactions (4).…”

Section: Stability Of Nicotine In Highly Flavored E-cigarette Productsmentioning

confidence: 99%

Analysis of Nicotine and Nicotine-Related Compounds in Electronic Cigarette Liquids and Aerosols by Liquid Chromatography-Tandem Mass Spectrometry

Liu¹,

Joza²,

Rickert³

2017

Beiträge Zur Tabakforschung International/Contributions to Tobacco Research

View full text Add to dashboard Cite

SUMMARYThe objective of this study was to develop and validate an analytical method for determining nicotine and nicotine related compounds (i.e., nicotine-N-oxide, cotinine, nornicotine, anatabine, myosmine, anabasine, and β-nicotyrine) in e-cigarette aerosols and e-liquids. Aerosol collection was achieved using a Cambridge collection pad. The sample preparation consisted of adding deuterated internal standards to the collection pad and extracting with 100 mM ammonium acetate solution using a wrist-action shaker. The filtrate was then analyzed by LC-MS/MS using a Gemini NX C 18 column (3 µm, 150 × 3 mm) with a mobile phase gradient system consisting of acetonitrile and 10% acetonitrile in 10 mM ammonium bicarbonate (pH = 8.0) and electrospray ionization (ESI) in the positive mode. The e-liquid was analyzed using the same instrumental parameters, but simplifying the sample preparation procedure by adding deuterated internal standards directly to the 100-mg sample. The sample was then extracted with 100 mM ammonium acetate solution, sonicated, and filtered. In this study, the method's accuracy, robustness, and reliability were enhanced by using deuterated analogues of each compound as internal standards and by applying two ion-transition pairs for each compound for the confirmation and quantification. Validation experiments demonstrated good sensitivity, specificity and reproducibility. All the target compound calibrations exhibited satisfactory linearity from 0.050 to 5.0 mg/mL (r 2 > 0.995). The average recoveries for e-liquids varied from 85.2%(nicotine-N-oxide) to 110% (β-nicotyrine) with recoveries for all compounds exhibiting a coefficient of variation (CV) < 5.0%. Similarly, the average recoveries for e-cigarette aerosols varied from 87.8% (for nicotine-N-oxide) to 111% (for myosmine) with all CV < 8.8%. The LOD and LOQ for e-liquids for all target compounds ranged from 0.234 and 0.781 μg/g (cotinine) to 1.66 and 5.48 μg/g (nicotine-Noxide). For e-cigarette aerosols these limits ranged from 0.094 and 0.312 μg/collection (cotinine) to 0.872 and 2.87 μg/collection (nicotine-N-oxide). This methodology was used to quantitatively determine if any of the target compounds were present in a variety of sample matrices, including e-cigarette solutions and aerosols, and was successfully applied to stability studies, to monitor changes in the target compound levels which might be caused by e-cigarette formulations, components and the storage conditions. [Beitr. Tabakforsch. Int. 27 (2017)

show abstract

“…There is little research about other e-liquid features [16] and users’ attitudes towards them. Despite the growing amount of literature on e-cigarettes on YouTube [17, 18], Twitter [19], Reddit [12], online forums [20] and multiple platforms [7], there are no published studies that have systematically summarized and analyzed the popularity and preference of e-liquid features based on online review websites. We distinguished preference from popularity in the analysis of e-liquid: popularity is how often the e-cigarette users discuss about specific e-liquid features, but preference is whether the users like the e-liquid features and measured by positive sentiment ratio in our study.…”

Section: Introductionmentioning

confidence: 99%

Mining online e-liquid reviews for opinion polarities about e-liquid features

Chen

Zeng

2017

BMC Public Health

View full text Add to dashboard Cite

BackgroundIn recent years, the emerging electronic cigarette (e-cigarette) marketplace has developed prosperously all over the world. By analyzing online e-liquid reviews, we seek to identify the features attracting users.MethodsWe collected e-liquid reviews from one of the largest online e-liquid review websites and extracted the e-liquid features by keywords. Then we used sentiment analysis to classify the features into two polarities: positive and negative. The positive sentiment ratio of a feature reflects the e-cigarette users’ preference on this feature.ResultsThe popularity and preference of e-liquid features are not correlated. Nuts and cream are the favorite flavor categories, while fruit and cream are the most popular categories. The top mixed flavors are preferable to single flavors. Fruit and cream categories are most frequently mixed with other flavors. E-cigarette users are satisfied with cloud production, but not satisfied with the ingredients and throat hit.ConclusionsWe identified the flavors that e-cigarette users were satisfied with, and we found the users liked e-cigarette cloud production. Therefore, flavors and cloud production are potential factors attracting new users.

show abstract

An Examination of Electronic Cigarette Content on Social Media: Analysis of E-Cigarette Flavor Content on Reddit

Cited by 85 publications

References 36 publications

Effect of Flavors and Modified Risk Messages on E-cigarette Abuse Liability

Effect of Flavors and Modified Risk Messages on E-cigarette Abuse Liability

Analysis of Nicotine and Nicotine-Related Compounds in Electronic Cigarette Liquids and Aerosols by Liquid Chromatography-Tandem Mass Spectrometry

Mining online e-liquid reviews for opinion polarities about e-liquid features

Contact Info

Product

Resources

About