Flavour spectrum of the Puff family of disposable e-cigarettes

2022 ◽  
pp. tobaccocontrol-2021-056780
Author(s):  
Divya Ramamurthi ◽  
Cindy Chau ◽  
Hannah Y Berke ◽  
Afnan M Tolba ◽  
Lu Yuan ◽  
...  

BackgroundIn January 2020, the US Food and Drug Administration prohibited the sale of flavours (except for menthol and tobacco) in prefilled pod devices such as JUUL to decrease youth vaping. Excluded from the prohibition were disposable devices.ObjectivesTo determine the scope and scale of flavours marketed by Puff Bar, a leading disposable brand, and related products.MethodsDisposable e-cigarette flavours were identified via online searches encompassing vendor websites, wholesale distributors, manufacturers (eg, made-in-china.com), and social media channel, Instagram, between June and August 2020.ResultsThe ‘Puff’ brand name and iconic cloud logo appear on a variety of products of differing sizes and nicotine e-liquid volumes. Among Puff Bar and its copycats (Puff-a-Likes), 139 flavours were identified. Fruit flavours predominated comprising 82.2% of the flavour varieties (fruit 50%, fruit and menthol/mint 23.6%, and fruity drinks 8.6%). A prevalent new flavour category which combines fruit with menthol/mint (Ice) was offered in 33 varieties such as Lychee Ice, Lush Ice and Banana Ice. Disposable e-cigarette brands are undertaking measures to escape tobacco regulation (eg, non-tobacco-sourced nicotine) and flavour limitations via post-market flavour additions to unflavoured nicotine e-liquid.ConclusionsThe proliferation of flavoured disposable e-cigarette products, many of which are designed to emulate popular pod devices, illustrates that narrowly limited flavour regulations covering only a single category are destined to fail. To be effective in youth protection, flavour regulations need to apply to all recreational nicotine-containing products and need to include measures to counter post-market flavour addition.

2020 ◽  
Author(s):  
Zeyun Zhou ◽  
Kyle Emerson Hultgren

BACKGROUND Adverse drug reactions (ADRs) can occur any time someone uses a medication. ADRs are systematically tracked and cataloged, with varying degrees of success, in order to better understand their etiology and develop methods of prevention. The US Food and Drug Administration (FDA) has developed the FDA Adverse Event Reporting System (FAERS) for this purpose. FAERS collects information from myriad sources, but the primary reporters have traditionally been medical professionals and pharmacovigilance data from manufacturers. Recent studies suggest that information shared publicly on social media platforms related to medication use could be of benefit in complementing FAERS data in order to have a richer picture of how medications are actually being used and the experiences people are having across large populations. OBJECTIVE The aim of this study is to validate the accuracy and precision of social media methodology and conduct evaluations of Twitter ADR reporting for commonly used pharmaceutical agents. METHODS ADR data from the 10 most prescribed medications according to pharmacy claims data were collected from both FAERS and Twitter. In order to obtain data from FAERS, the SafeRx database, a curated collection of FAERS data, was used to collect data from March 1, 2016, to March 31, 2017. Twitter data were manually scraped during the same time period to extract similar data using an algorithm designed to minimize noise and false signals in social media data. RESULTS A total of 40,539 FAERS ADR reports were obtained via SafeRx and more than 40,000 tweets containing the drug names were obtained from Twitter’s Advanced Search engine. While the FAERS data were specific to ADRs, the Twitter data were more limited. Only hydrocodone/acetaminophen, prednisone, amoxicillin, gabapentin, and metformin had a sufficient volume of ADR content for review and comparison. For metformin, diarrhea was the side effect that resulted in no difference between the two platforms (<i>P</i>=.30). For hydrocodone/acetaminophen, ineffectiveness as an ADR that resulted in no difference (<i>P</i>=.60). For gabapentin, there were no differences in terms of the ADRs ineffectiveness and fatigue (<i>P</i>=.15 and <i>P=</i>.67, respectively). For amoxicillin, hypersensitivity, nausea, and rash shared similar profiles between platforms (<i>P</i>=.35, <i>P=</i>.05, and <i>P=</i>.31, respectively). CONCLUSIONS FAERS and Twitter shared similarities in types of data reported and a few unique items to each data set as well. The use of Twitter as an ADR pharmacovigilance platform should continue to be studied as a unique and complementary source of information rather than a validation tool of existing ADR databases.


10.2196/19266 ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. e19266
Author(s):  
Zeyun Zhou ◽  
Kyle Emerson Hultgren

Background Adverse drug reactions (ADRs) can occur any time someone uses a medication. ADRs are systematically tracked and cataloged, with varying degrees of success, in order to better understand their etiology and develop methods of prevention. The US Food and Drug Administration (FDA) has developed the FDA Adverse Event Reporting System (FAERS) for this purpose. FAERS collects information from myriad sources, but the primary reporters have traditionally been medical professionals and pharmacovigilance data from manufacturers. Recent studies suggest that information shared publicly on social media platforms related to medication use could be of benefit in complementing FAERS data in order to have a richer picture of how medications are actually being used and the experiences people are having across large populations. Objective The aim of this study is to validate the accuracy and precision of social media methodology and conduct evaluations of Twitter ADR reporting for commonly used pharmaceutical agents. Methods ADR data from the 10 most prescribed medications according to pharmacy claims data were collected from both FAERS and Twitter. In order to obtain data from FAERS, the SafeRx database, a curated collection of FAERS data, was used to collect data from March 1, 2016, to March 31, 2017. Twitter data were manually scraped during the same time period to extract similar data using an algorithm designed to minimize noise and false signals in social media data. Results A total of 40,539 FAERS ADR reports were obtained via SafeRx and more than 40,000 tweets containing the drug names were obtained from Twitter’s Advanced Search engine. While the FAERS data were specific to ADRs, the Twitter data were more limited. Only hydrocodone/acetaminophen, prednisone, amoxicillin, gabapentin, and metformin had a sufficient volume of ADR content for review and comparison. For metformin, diarrhea was the side effect that resulted in no difference between the two platforms (P=.30). For hydrocodone/acetaminophen, ineffectiveness as an ADR that resulted in no difference (P=.60). For gabapentin, there were no differences in terms of the ADRs ineffectiveness and fatigue (P=.15 and P=.67, respectively). For amoxicillin, hypersensitivity, nausea, and rash shared similar profiles between platforms (P=.35, P=.05, and P=.31, respectively). Conclusions FAERS and Twitter shared similarities in types of data reported and a few unique items to each data set as well. The use of Twitter as an ADR pharmacovigilance platform should continue to be studied as a unique and complementary source of information rather than a validation tool of existing ADR databases.


2018 ◽  
Vol 21 (10) ◽  
pp. 1378-1384 ◽  
Author(s):  
Mignonne C Guy ◽  
Jacob Helt ◽  
Sherilyn Palafox ◽  
Kellie Green ◽  
Eric K Soule ◽  
...  

Abstract Introduction Open electronic cigarette (e-cigarette) systems are customizable by consumers and often allow for potential “unorthodox” use of the product; that is, use not as intended by the manufacturer. Little is known about the types and prevalence of unorthodox uses and how these practices are transmitted via popular social media. Methods Monthly searches of YouTube were conducted from June through November 2016 using the following search terms: “e-cigarettes,” “vaping,” and “e-juice.” After collecting static and dynamic data on the 150 videos identified, two coders independently coded videos for general information, unorthodox use behaviors, health claims, and production quality and characteristics for orthodox and unorthodox use. Intercoder reliability was high (Cohen’s κ 0.81, p < .001). Results One hundred fifty videos were included in the study with a total of 115 551 563 views. We identified nine categories of unorthodox uses of e-cigarettes. Unorthodox use was three times as prevalent as orthodox use. Seventy-seven percent of the unorthodox use videos included recreational e-cigarette use, 57% included modification of mechanical parts and components, and 44.6% included unorthodox substance application (dripping). There were more than twice as many social media links in videos depicting unorthodox compared to orthodox use, but the level of engagement was lower for unorthodox use. Conclusions E-cigarette unorthodox use on YouTube is more prevalent than orthodox use, suggesting the need to further investigate the prevalence of unorthodox use among e-cigarette users and the influence of social media on consumer uptake of unorthodox and orthodox uses of e-cigarettes. Implications The US Food and Drug Administration has regulatory authority over e-cigarettes, parts and components. Many e-cigarettes currently marketed are open systems. Closed systems may allow less manipulation and may influence the safety of these products. This study provides valuable information on ways that open system e-cigarettes are used and it can inform safety tests that can be conducted by the US Food and Drug Administration to determine whether or not these products should remain on the market. In addition, our definitions of unorthodox use can be incorporated into the Population Assessment of Tobacco on Health Study to better understand the prevalence of these behaviors.


2017 ◽  
Vol 4 (2) ◽  
pp. 185-200 ◽  
Author(s):  
Servet Kardeş ◽  
Çağla Banko ◽  
Berrin Akman

Bu araştırmada sığınmacılara yönelik paylaşımların yapıldığı sosyal medyada yer alan sözlüklerden birinde sığınmacılara yönelik algıya bakılmıştır. Yöntem olarak nitel desende olan bu çalışmada, bir sosyal medya sitesinde yer alan paylaşımlar içerik analizi yoluyla derinlemesine incelenip yorumlanmıştır. Araştırmanın sonucunda sosyal medya kullanıcılarının sığınmacıları büyük bir güvensizlik ortamı ve huzursuzluk yaratan bireyler olarak gördükleri saptanmış, sığınmacılarla yaşanan deneyimlerin ve medyadaki haberlerin bu düşüncelerin oluşmasında etkisinin olduğu belirlenmiştir. Bunun yanında sosyal medya kullanıcılarının devletin sığınmacılar konusunda yanlış politika izlediğini düşündükleri ve sığınmacılar için etkili bir planlama yapılmadığını ifade ettikleri görülmüştür. Çalışmanın sonuçları doğrultusunda medyada sığınmacılar hakkında çıkan haberlerde olumsuz ve şiddet temalı haberlerin azaltılması, Suriyeli sığınmacıların durumu, sahip oldukları haklar ve topluma yansımaları hakkında doğru ve bilgilendirici kamu spotları hazırlanması ayrıca sığınmacıların topluma entegre olma sürecinin her basamağında daha planlı ve etkili bir yol izlenmesi önerilebilir.ABSTRACT IN ENGLISHPerceptions about Syrian refugees on social media: an evaluation of a social media platformIn this research, posts which are about Syrian refugees were published in a social media platform, called as “sözlük” were investigated. The research is a qualitative research. The posts in this platform are analyzed with content analysis method. According to results of analyses, social media users see Syrian refugees as people who create an insecure and a restless environment. The experiences people had with them and news have an effect on this view. In addition, social media users think that government made inappropriate policies and ineffective plans about Syrian refugees. It is suggested negative news about Syrian refugees should be decreased and government should make safer policies. In addition, adaptation of refugees to society should be made in more planned and effective way.


2015 ◽  
Vol 3 (2) ◽  
Author(s):  
Pankaj K. Trivedi

Market is a kingdom and customer is the king. This is a renowned maxim pursued by the Indian companies in true spirit. With the advancement in modern technology, customers are becoming more and more informed about their need and want. Nowadays social media is educating them and they scout around for best product, brand name, product quality, operation, and service support. Marketing has thus, undergone a paradigm shift and has come up to the point of establishing relationship with customer. Not just retaining the existing customers but even attracting new customers has become a big challenge. This is the main reason why companies have shifted their focus from being product-centric to customer-centric.


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