Analysis of e-cigarette warning letters issued by the Food and Drug Administration in 2020 and 2021.

PURPOSE: This study analyses the Food and Drug Administration (FDA) warning letters sent to e-cigarette companies from 1 January 2020 to 9 September 2021. Study results can inform regulation of e-cigarettes. METHODOLOGY: Warning letters retrieved from FDA's website were coded for company type (retailer, manufacturer or distributor), location (domestic or international), infractions listed (PMTA (premarket tobacco product application), selling to minors, advertising to youth or packaging violation/mislabelling), product type (e-liquid, device or both), flavour (fruit, candy, tobacco, menthol/mint, concept flavour) and consequence (civil money penalties, product seizure and injunction, product detention and refusal of entry to the USA, no-tobacco-sales order, criminal prosecution). RESULTS: Of 303 coded letters (126 from 2020 and 177 from 2021), 97.4% were sent to small online retailers. Overall, 94.1% of the companies cited were located within the USA, 75.2% of the infractions were identified by reviewing a company's website and 70.5% were PMTA violations. In 2020, 55.6% of infractions were PMTA violations; in 2021, nearly all infractions were PMTA violations. The letters cited 880 products; 92.2% of which were e-liquid products, with 32.4% fruit and 31.1% concept flavours. DISCUSSION: Warning letters targeted small online retailers rather than large e-cigarette brands or products most used by youth: pod mods and disposables. The focus of these enforcement actions comprises a small share of the market and the impact on use was likely minimal. With PMTA decisions pending for the largest brands of e-cigarettes, the FDA should use its enforcement powers to target manufacturers, distributors and sellers of the tobacco products that have the greatest impact on youth and products that provide no public health benefit.

The Influence of Provaping "Gatewatchers" on the Dissemination of COVID-19 Misinformation on Twitter: Analysis of Twitter Discourse Regarding Nicotine and the COVID-19 Pandemic.

BACKGROUND: There is a lot of misinformation about a potential protective role of nicotine against COVID-19 spread on Twitter despite significant evidence to the contrary. We need to examine the role of vape advocates in the dissemination of such information through the lens of the gatewatching framework, which posits that top users can amplify and exert a disproportionate influence over the dissemination of certain content through curating, sharing, or, in the case of Twitter, retweeting it, serving more as a vector for misinformation rather than the source. OBJECTIVE: This research examines the Twitter discourse at the intersection of COVID-19 and tobacco (1) to identify the extent to which the most outspoken contributors to this conversation self-identify as vaping advocates and (2) to understand how and to what extent these vape advocates serve as gatewatchers through disseminating content about a therapeutic role of tobacco, nicotine, or vaping against COVID-19. METHODS: Tweets about tobacco, nicotine, or vaping and COVID-19 (N=1,420,271) posted during the first 9 months of the pandemic (January-September 2020) were identified from within a larger corpus of tobacco-related tweets using validated keyword filters. The top posters (ie, tweeters and retweeters) were identified and characterized, along with the most shared Uniform Resource Locators (URLs), most used hashtags, and the 1000 most retweeted posts. Finally, we examined the role of both top users and vape advocates in retweeting the most retweeted posts about the therapeutic role of nicotine, tobacco, or vaping against COVID-19. RESULTS: Vape advocates comprised between 49.7% (n=81) of top 163 and 88% (n=22) of top 25 users discussing COVID-19 and tobacco on Twitter. Content about the ability of tobacco, nicotine, or vaping to treat or prevent COVID-19 was disseminated broadly, accounting for 22.5% (n=57) of the most shared URLs and 10% (n=107) of the most retweeted tweets. Finally, among top users, retweets comprised an average of 78.6% of the posts from vape advocates compared to 53.1% from others (z=3.34, P<.001). Vape advocates were also more likely to retweet the top tweeted posts about a therapeutic role of nicotine, with 63% (n=51) of vape advocates retweeting at least 1 post compared to 40.3% (n=29) of other top users (z=2.80, P=.01). CONCLUSIONS: Provaping users dominated discussions of tobacco use during the COVID-19 pandemic on Twitter and were instrumental in disseminating the most retweeted posts about a potential therapeutic role of tobacco use against the virus. Subsequent research is needed to better understand the extent of this influence and how to mitigate the influence of vape advocates over the broader narrative of tobacco regulation on Twitter.

Charming e-cigarette users with distorted science: a survey examining social media platform use, nicotine-related misinformation and attitudes towards the tobacco industry.

OBJECTIVE: To examine the role of social media in promoting recall and belief of distorted science about nicotine and COVID-19 and whether recall and belief predict tobacco industry beliefs. DESIGN: Young adults aged 18-34 years (N=1225) were surveyed cross-sectionally via online Qualtrics panel. The survey assessed recall and belief in three claims about nicotine and COVID-19 and three about nicotine in general followed by assessments of industry beliefs and use of social media. Ordinal logistic regression with robust standard errors controlling for gender, race/ethnicity, education, current e-cigarette use and age was used to examine relationships between variables. RESULTS: Twitter use was associated with higher odds of recall (OR=1.21, 95% CI=1.01 to 1.44) and belief (OR=1.26, 95% CI=1.04 to 1.52) in COVID-19-specific distorted science. YouTube use was associated with higher odds of believing COVID-19-specific distorted science (OR=1.32, 95% CI=1.09 to 1.60). Reddit use was associated with lower odds of believing COVID-19-specific distorted science (OR=0.72, 95% CI=0.59 to 0.88). Recall (OR=1.26, 95% CI=1.07 to 1.47) and belief (OR=1.28, 95% CI=1.09 to 1.50) in distorted science about nicotine in general as well as belief in distorted science specific to COVID-19 (OR=1.61, 95% CI=1.34 to 1.95) were associated with more positive beliefs about the tobacco industry. Belief in distorted science about nicotine in general was also associated with more negative beliefs about the tobacco industry (OR=1.18, 95% CI=1.02 to 1.35). CONCLUSIONS: Use of social media platforms may help to both spread and dispel distorted science about nicotine. Addressing distorted science about nicotine is important, as it appears to be associated with more favourable views of the tobacco industry which may erode public support for effective regulation.

Vaping in the Workplace: Awareness and Support for E-cigarette Workplace Policies.

Objectives: Clean indoor air policies have been an important tool protecting the health of working adults. The purpose of this study was to examine awareness of and support for e-cigarette-free workplace policies among working adults in the United States. Methods: Employees of companies with at least 150 employees (N = 1607, ages 18-65 years) were recruited from an opt-in national panel for an online survey. Results: Nearly half of respondents (48.4%) reported that their employer had a written policy addressing e-cigarette use, 30.2% reported their employer did not have such a policy, and 21.4% reported that they did not know. Most respondents (73.5%) supported e-cigarette-free workplaces, including the majority of current e-cigarette users (53.5%). Multiple regression modeling found that odds of support for e-cigarette workplace policies was significantly higher among never (OR = 1.77, 95% CI: 1.19-2.64) and former e-cigarette users (OR = 1.71, 95% CI: 1.15-2.54) relative to current users. Policy support also varied by perceived harm and other perceptions of workplace vaping, and demographic and workplace characteristics. Conclusions: E-cigarette-free workplace policies have high levels of support among employees, including both current and former e-cigarette users. Policies restricting workplace vaping can improve the health of all employees.

Smoking cessation among US adults: use of e-cigarettes, including JUUL, and NRT use.

BACKGROUND: Electronic cigarettes (e-cigarettes) are a common tobacco product in the US. Despite lacking Food and Drug Administration (FDA) approval for cessation, e-cigarettes, including JUUL, a popular device, have been viewed by some as a potential tool for tobacco users seeking to quit combustible tobacco use. It is unknown how current and former smokers report using these products for cigarette smoking cessation. METHODS: Online surveys were collected from a probability-based panel of US adults aged 18-64, with an oversample of past 12-month JUUL users (n=3415). Weighted past 12-month and past 30-day use of popular e-cigarette brands were measured. Former smokers with a quit attempt in the past 4 years and current smokers with a quit attempt in the past 12 months were asked about methods for smoking cessation, including e-cigarettes and nicotine replacement therapies (NRTs) use. RESULTS: Among former smokers (n=157), 21.2% used e-cigarettes and/or NRTs to help them quit. Specifically, 2.2% used JUUL only, compared with 10.3% who used NRTs only, and 6.9% used other e-cigarettes only to quit. Among current smokers with a quit attempt (n=308), 24.0% used any product (NRT or e-cigarettes) to quit, and only 1.1% used JUUL only. Current smokers reported relatively low use of NRTs only (10.1%), other e-cigarettes only (5.6%) and other e-cigarettes and NRTs (5.1%). CONCLUSIONS: Data suggest that few smokers in the US use e-cigarettes, and JUUL specifically, for cessation, and NRTs use is relatively low. All e-cigarettes should undergo FDA review to minimise recreational use and understand their cessation efficacy.

Vaping in the Workplace: Prevalence and Attitudes Among Employed US Adults.

OBJECTIVE: Describe workplace vaping, prevalence of observed use, attitudes, and perceptions among US adults. METHODS: Employees of companies with more than 150 employees, drawn from an opt-in national online panel (N = 1607), ages 18 to 65, completed an online survey in November 2019. RESULTS: Majority (61.6%) observed coworkers vaping at work and 19.1% reported vaping at work themselves. Participants perceived workplace vaping as moderately harmful (M = 1.9 out of 3), 63.2% were bothered by workplace vaping and 52.1% thought it decreased workplace productivity among non-users. Multiple regression models found workplace vaping prevalence varied by industry and participant characteristics, and attitudes about it varied by tobacco use status. CONCLUSIONS: Workplace vaping and vaping exposure is common in US workplaces. Employees, particularly non-users, hold generally negative perceptions of workplace vaping. Comprehensive policies to prevent workplace vaping are needed to protect workers.

The availability of retail tobacco near federally qualified healthcare facilities and addiction treatment centers in New York State.

The effectiveness of tobacco control policies that create smoke-free healthcare facilities and encourage the delivery of tobacco dependence treatment may be undermined by the availability of retail tobacco in the surrounding environments. This study examined the availability of retail tobacco in relation to: federally qualified health centers and look-a-like (FQHC/LAL) healthcare facilities (n = 706) as well as substance abuse and addiction treatment centers (n = 953) across New York State (NYS) in 2018. A statewide tobacco retailer density surface using static-bandwidth kernel density estimation was constructed from geocoded licensed tobacco vendors (n = 21,314). For each healthcare facility, tobacco retailer density (retailers per square mile) was extracted from the underlying NYS density surface. Proximity from each healthcare facility to the nearest tobacco vendor was calculated in walkable miles. Across NYS, tobacco retailer density ranged from 0 to 41.02 retailers per square mile. The availability of retailer tobacco near FQHC/LAL healthcare facilities and substance abuse and addiction treatment centers was higher in metropolitan areas than less urban areas as expected. School-based FQHC/LAL healthcare facilities had higher density than all other FQHC/LAL healthcare facilities types (Mean = 20.82 vs. 17.04, p = 0.0042), while opioid abuse and addiction treatment centers had on average higher density (Mean = 20.42 vs. 9.81, p < 0.0001) and closer proximity to a tobacco vendor (Mean = 0.14 vs. 0.36, p < 0.0001) than other substance abuse and addiction treatment centers. State and local tobacco control retailer reduction policies should be considered to reduce the availability of retail tobacco surrounding these facilities.

Electronic Cigarette and JUUL Use Among Adolescents and Young Adults.

Importance: The increasing use rates of electronic cigarettes (e-cigarettes) among young people in the United States have been largely associated with the emergence of high-nicotine-delivery device JUUL. Relevant data are needed to monitor e-cigarette, specifically JUUL, use to help inform intervention efforts. Objective: To estimate the prevalence, patterns, and factors associated over time with e-cigarette use among adolescents and younger adults in the United States. Design, Setting, and Participants: Two nationally representative longitudinal samples of adolescents and younger adults aged 15 to 34 years were drawn from the Truth Longitudinal Cohort, a national, probability-based cohort. Participants in this cohort were recruited through address-based sampling, and subsamples were recruited from a probability-based online panel. The present cohort study used data from follow-up online surveys, specifically, wave 7 (N = 14 379; collected from February 15, 2018, to May 25, 2018) and wave 8 (N = 12 114; collected from February 10, 2019, to May 17, 2019). Respondents reported their use of e-cigarettes, JUUL, and combustible tobacco products as well as their harm perceptions, household smoking status, sensation-seeking, friends' e-cigarette use, and demographic information. Main Outcomes and Measures: The main outcomes were ever and current (past 30 days) JUUL use. χ2 Analyses assessed differences in JUUL use by psychosocial and demographic characteristics. Logistic regression models identified the significant factors associated with wave 8 ever and current JUUL use among wave 7 e-cigarette-naive participants. Results: A total of 14 379 participants (mean [SD] age, 24.3 [0.09] years; 8142 female [51.0%]) were included in wave 7 and 12 114 (mean [SD] age, 24.5 [0.10] years; 6835 female [50.1%]) in wave 8. JUUL use statistically significantly increased from wave 7 to wave 8 among ever users (6.0% [n = 1105] to 13.5% [2111]; P < .001) and current users (3.3% [680] to 6.1% [993]; P < .001). JUUL use increased among every age group and was highest among those aged 18 to 20 years (23.9% [491] ever users and 12.8% [340] current users) and 21 to 24 years (18.1% [360] ever users and 8.2% [207] current users). Users reported a higher prevalence of frequent use in wave 8 compared with wave 7 (37.6% vs 26.1%; P < .01). Significant factors associated with future JUUL use among e-cigarette-naive participants included younger age, combustible tobacco use, lower harm perceptions, sensation seeking, and friends' e-cigarette use. Conclusions and Relevance: This study found that the e-cigarette device JUUL appears to be associated with the youth e-cigarette epidemic, attracting new users and facilitating frequent use with their highly addictive nicotine content and appealing flavors. Findings of this study underscore the critical need for increased e-cigarette product regulation at the federal, state, and local levels.

Digital Segmentation of Priority Populations in Public Health.

The rapid growth and diffusion of digital media technologies has changed the landscape of market segmentation in the last two decades, including its use in promoting prosocial and behavior change. New, population-specific and culturally appropriate prevention strategies can leverage the potential of digital media to influence health outcomes, especially for the greatest users of digital technology, including youth and young adults. Health behavior change campaigns are increasingly shifting resources to social media, creating opportunities for innovative interventions and new research methods. This article examines three case studies of digital segmentation: (1) tobacco control from the Truth Initiative, (2) community-based public health programs from the Centers for Disease Control and Prevention, and (3) substance use (including opioids) and other risk behavior prevention from Public Good Projects. These case studies of recent digital segmentation efforts in the not-for-profit, government, and academic sectors show that it increases reach and frequency of messages delivered to priority populations. The practice of digital segmentation is rapidly growing, shows early signs of effectiveness, and may enhance future public health campaigns. Additional research could optimize its use and effectiveness in promoting prosocial and behavior change campaign outcomes.

The Role of Emotions and Perceived Ad Effectiveness: Evidence From the Truth FinishIt Campaign.

PURPOSE: Examine association between emotional valence and intensity prompted by anti-tobacco advertising messages and perceived ad effectiveness among youth/young adults. DESIGN: Online forced-exposure survey data from a nationally weighted, cross-sectional sample of youth/young adults, collected periodically over a 4-year period. SETTING: National. PARTICIPANTS: Thirty-seven cross-sectional surveys conducted online from June 2015 to January 2018; total N = 9534. All participants, aged 15 to 21, were in the intervention; no control group. INTERVENTION: Individuals participating in premarket testing of truth ads were forced exposed to one of 37 anti-tobacco ads. MEASURES: Emotional response, emotional intensity, and perceived ad effectiveness. Emotional response has been previously studied and measured. Including the discrete measure of "concerned" in positive emotions is unique to our study. It patterned with the other positive emotions when each ad was examined by each emotion. Intensity as measured in this study through the 5-point scale ("how much does this ad make you feel") is unique in the anti-tobacco ad literature. Although several past studies ranked the degree of emotion elicited by ads, they have not incorporated the intensity of emotion as reported by the participant themselves. The scale was used to determine whether perceived ad effectiveness is similar to those used in previous studies. ANALYSIS: Linear regressions were estimated to assess type of emotional sentiment and level of intensity in relation to perceived effectiveness of the message. RESULTS: All 9534 participants were exposed; no control group. The ßs indicate how strongly the emotion variable influences the study outcome of perceived ad effectiveness. Positive emotions (ß = .76) were more highly associated with perceived ad effectiveness (ß = .06). Higher intensity with positive emotional sentiment and high-intensity negative produced the highest scores for perceived ad effectiveness (ß = .30). CONCLUSION: Eliciting a positive, high-impact emotional response from viewers can help improve perceived effectiveness, and in turn, overall ad effectiveness.

Examining perceptions about IQOS heated tobacco product: consumer studies in Japan and Switzerland.

OBJECTIVE: To examine consumer perceptions, attitudes and behaviours regarding the heated tobacco product, IQOS, as well as to document the product's marketing strategies to determine its potential for appealing to youth and young adults. METHOD: Truth Initiative, in collaboration with Flamingo, collected qualitative data via: (1) expert interviews, (2) semiotic analysis of IQOS packing and marketing materials, and (3) 12 focus groups with adults in Switzerland (ages 19-44 years; June 6-9, 2016) and Japan (ages 20-39 years; June 22-24, 2016) (n=68 for both groups). RESULTS: Expert interviews and IQOS packing and marketing analyses revealed the product is being marketed as a clean, chic and pure product, which resonated very well in Japan given the strong cultural values of order, cleanliness, quality and respect for others. Focus groups results indicated Japanese IQOS users used the product for socialising with non-smokers. Focus group participants in both Japan and Switzerland reported lower levels of satisfaction with the product relative to combustible cigarettes, although many found the product packaging to be appealing. While participants identified several benefits and barriers related to IQOS, few reported any potential health benefits of use compared with combustible tobacco products. CONCLUSION: IQOS was marketed as a sophisticated, high tech and aspirational product. Because youth and young adults are more interested in such product positioning, this approach raises some concern about youth appeal. This research shows cultural factors appeared to affect the appeal of this messaging, indicating that prevalence and uptake data will likely not be similar from country to country.