Dataset Information

Content Analysis of Electronic Nicotine Delivery System Publications in Core Clinical Journals from 2012 to 2018.

ABSTRACT: There is no consensus if electronic nicotine delivery systems (ENDS) should be used to reduce harm among the smoking population. Physicians, who represent a trusted source of health communication, are exposed to a range of often conflicting ENDS information and this information may be relayed to patients looking to quit smoking. Previous studies have examined ENDS content of various sources of media but there is a lack of knowledge about ENDS content in medical journals. We analyzed 421 ENDS publications printed between 2012 and 2018 from PubMed's Core Clinical Journal list. Publications were analyzed based on publication type, journal type, study design, geographic focus, theme, terminology, outcomes, and positive/negative statements. The number of ENDS publications grew since 2012, and peaked in 2015. Across all years, negative statements about ENDS outnumbered positive statements, though this difference decreased over time. Over time, negative statements about "toxins and carcinogens" were made less frequently, while negative statements about "gateway effects" and "youth appeal" became more prevalent. UK journals had fewer negative statements relative to US journals. Only 12.6% of publications included guidance for healthcare professionals about ENDS. As published ENDS topics change over time, physicians' communications with patients may be impacted.

SUBMITTER: Briganti M

PROVIDER: S-EPMC7177383 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Publications

Content Analysis of Electronic Nicotine Delivery System Publications in Core Clinical Journals from 2012 to 2018.

Briganti Michael M Wackowski Olivia A OA Delnevo Cristine D CD Brown Leanne L Hastings Shirin E SE Singh Binu B Steinberg Michael B MB

International journal of environmental research and public health 20200325 7

There is no consensus if electronic nicotine delivery systems (ENDS) should be used to reduce harm among the smoking population. Physicians, who represent a trusted source of health communication, are exposed to a range of often conflicting ENDS information and this information may be relayed to patients looking to quit smoking. Previous studies have examined ENDS content of various sources of media but there is a lack of knowledge about ENDS content in medical journals. We analyzed 421 ENDS pub ...[more]

PMID: 32218306

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Project description:BACKGROUND:As user modification can alter the addictiveness and toxicity of electronic nicotine delivery systems (ENDS), more research is needed to understand the types, motivations, risks, and information sources that lead to these product alterations. YouTube has been identified as a major platform where ENDS users obtain and share information about ENDS products and modifications. However, a comprehensive study of ENDS modification videos on YouTube is lacking. OBJECTIVE:This study aimed to analyze the content of YouTube videos depicting modifications of ENDS. METHODS:YouTube was searched in March 2019 to identify videos depicting ENDS modifications. Search terms were derived from interviews with ENDS users and current literature. We used 28 search phrases that combined the words vape and vaping with modification-related key terms (eg, custom build, modification, and dripping). The final sample included 168 videos. RESULTS:Videos were 1 to 108 min long (median 9.55). Presenters were largely male (117/168, 69.6%), white (94/168, 56.0%), and older than 25 years (94/168, 56.0%). Most videos gave how to instructions (148/168, 88.1%), but few offered warnings (30/168, 17.9%) or mentioned commercial alternatives to modifications they presented (16/168, 9.5%). The ENDS devices most often featured were drippers (63/168, 37.5%) and refillable tanks (37/168, 22.0%). The most often modified ENDS components were coils (82/168, 48.8%) and e-liquids (34/168, 20.2%), which included adding other substances, such as cannabis, to the e-liquids (6/168, 3.6%). Most videos portrayed ENDS modifications positively (106/168, 63.1% positive; 60/168, 35.7% neutral; and 2/168, 1.2% negative) and were either neutral or positive in their overall portrayal of ENDS devices (78/168, 46.4% positive; 89/168, 53.0% neutral; and 1/168, 0.6% negative). CONCLUSIONS:This study identified several concerning trends in popular YouTube videos on ENDS modifications, including lack of warnings, the addition of marijuana derivatives to e-liquids, and the positive portrayal of ENDS devices and modifications. By identifying the types of modifications (coil and e-liquid being the most prevalent), this study sets an agenda for research on the effects of modifications.

Project description:AIMS:To estimate the effect of potential regulations of electronic nicotine delivery systems (ENDS) among adult smokers, including increasing taxes, reducing flavor availability and adding warning labels communicating various levels of risk. DESIGN:We performed a discrete choice experiment (DCE) among a national sample of 1200 adult smokers. We examined heterogeneity in policy responses by age, cigarette quitting interest and current ENDS use. Our experiment overlapped January 2015 by design, providing exogenous variation in cigarette quitting interest from New Year resolutions. SETTING:KnowledgePanel, an online panel of recruited respondents. PARTICIPANTS:A total of 1200 adult smokers from the United States. MEASUREMENTS:Hypothetical purchase choice of cigarettes, nicotine replacement therapy and a disposable ENDS. FINDINGS:Increasing ENDS prices from $3 to $6 was associated with a 13.6 percentage point reduction in ENDS selection (P < 0.001). Restricting flavor availability in ENDS to tobacco and menthol was associated with a 2.1 percentage point reduction in ENDS selection (P < 0.001). The proposed Food and Drug Administration (FDA) warning label was associated with a 1.1 percentage point reduction in ENDS selection (P < 0.05) and the MarkTen warning label with a 5.1 percentage point reduction (P < 0.001). We estimated an ENDS price elasticity of -1.8 (P < 0.001) among adult smokers. Statistically significant interaction terms (P < 0.001) imply that price responsiveness was higher among adult smokers 18-24 years of age, smokers who have vaped over the last month and smokers with above the median quitting interest. Young adult smokers were 3.7 percentage points more likely to choose ENDS when multiple flavors were available than older adults (P < 0.001). Young adult smokers and those with above the median cigarette quitting interest were also more likely to reduce cigarette selection and increase ENDS selection in January 2015 (P < 0.001), potentially in response to New Year's resolutions to quit smoking. CONCLUSIONS:Increased taxes, a proposed US Food and Drug Administration warning label for electronic nicotine delivery systems and a more severe warning label may discourage adult smokers from switching to electronic nicotine delivery systems. Reducing the availability of flavors may reduce ENDS use by young adult smokers.

Project description:IntroductionSecond generation electronic nicotine delivery systems (ENDS; also known as e-cigarettes, vaporizers or vape pens) are designed for a customized nicotine delivery experience and have less resemblance to regular cigarettes than first generation "cigalikes." The present study examined whether they generalize as a conditioned cue and evoke smoking urges or behavior in persons exposed to their use.MethodsData were analyzed in N = 108 young adult smokers (?5 cigarettes per week) randomized to either a traditional combustible cigarette smoking cue or a second generation ENDS vaping cue in a controlled laboratory setting. Cigarette and e-cigarette urge and desire were assessed pre- and post-cue exposure. Smoking behavior was also explored in a subsample undergoing a smoking latency phase after cue exposure (N = 26).ResultsThe ENDS vape pen cue evoked both urge and desire for a regular cigarette to a similar extent as that produced by the combustible cigarette cue. Both cues produced similar time to initiate smoking during the smoking latency phase. The ENDS vape pen cue elicited smoking urge and desire regardless of ENDS use history, that is, across ENDS na?ve, lifetime or current users. Inclusion of past ENDS or cigarette use as covariates did not significantly alter the results.ConclusionsThese findings demonstrate that observation of vape pen ENDS use generalizes as a conditioned cue to produce smoking urge, desire, and behavior in young adult smokers. As the popularity of these devices may eventually overtake those of first generation ENDS cigalikes, exposure effects will be of increasing importance.ImplicationsThis study shows that passive exposure to a second generation ENDS vape pen cue evoked smoking urge, desire, and behavior across a range of daily and non-daily young adult smokers. Smoking urge and desire increases after vape pen exposure were similar to those produced by exposure to a first generation ENDS cigalike and a combustible cigarette, a known potent cue. Given the increasing popularity of ENDS tank system products, passive exposures to these devices will no doubt increase, and may contribute to tobacco use in young adult smokers.

Project description:BackgroundElectronic nicotine delivery system (ENDS) brands, such as JUUL, used social media as a key component of their marketing strategy, which led to massive sales growth from 2015 to 2018. During this time, ENDS use rapidly increased among youths and young adults, with flavored products being particularly popular among these groups.ObjectiveThe aim of our study is to develop a named entity recognition (NER) model to identify potential emerging vaping brands and flavors from Instagram post text. NER is a natural language processing task for identifying specific types of words (entities) in text based on the characteristics of the entity and surrounding words.MethodsNER models were trained on a labeled data set of 2272 Instagram posts coded for ENDS brands and flavors. We compared three types of NER models-conditional random fields, a residual convolutional neural network, and a fine-tuned distilled bidirectional encoder representations from transformers (FTDB) network-to identify brands and flavors in Instagram posts with key model outcomes of precision, recall, and F1 scores. We used data from Nielsen scanner sales and Wikipedia to create benchmark dictionaries to determine whether brands from established ENDS brand and flavor lists were mentioned in the Instagram posts in our sample. To prevent overfitting, we performed 5-fold cross-validation and reported the mean and SD of the model validation metrics across the folds.ResultsFor brands, the residual convolutional neural network exhibited the highest mean precision (0.797, SD 0.084), and the FTDB exhibited the highest mean recall (0.869, SD 0.103). For flavors, the FTDB exhibited both the highest mean precision (0.860, SD 0.055) and recall (0.801, SD 0.091). All NER models outperformed the benchmark brand and flavor dictionary look-ups on mean precision, recall, and F1. Comparing between the benchmark brand lists, the larger Wikipedia list outperformed the Nielsen list in both precision and recall.ConclusionsOur findings suggest that NER models correctly identified ENDS brands and flavors in Instagram posts at rates competitive with, or better than, others in the published literature. Brands identified during manual annotation showed little overlap with those in Nielsen scanner data, suggesting that NER models may capture emerging brands with limited sales and distribution. NER models address the challenges of manual brand identification and can be used to support future infodemiology and infoveillance studies. Brands identified on social media should be cross-validated with Nielsen and other data sources to differentiate emerging brands that have become established from those with limited sales and distribution.

Dataset Information

Content Analysis of Electronic Nicotine Delivery System Publications in Core Clinical Journals from 2012 to 2018.

Publications

Content Analysis of Electronic Nicotine Delivery System Publications in Core Clinical Journals from 2012 to 2018.

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