Youth and Young Adult Awareness of and Perceptions About Tobacco Marketing as a Social Justice Issue.

INTRODUCTION: Systemic racism and tobacco-industry targeting contribute to disparities in communities of color. However, understanding tobacco as a social justice issue and the industry's role in perpetuating inequities remains limited. This study explored youth and young adult awareness of tobacco marketing and perceptions of tobacco marketing as a social justice issue. AIMS AND METHODS: Focus groups were conducted with youth and young adults in 2020 and 2021, including individuals who used tobacco and e-cigarettes and those who did not use either. Online surveys were conducted in 2021 with youth (n = 1227) and young adults (n = 2643) using AmeriSpeak's nationally representative panel, oversampling for black and Hispanic Americans and people who smoke. Perceptions of flavor bans, social justice, and industry marketing were assessed. RESULTS: Most (>80%) survey respondents agreed that tobacco companies target youth. However, only 20% saw tobacco as a social justice issue. Focus group participants regardless of their tobacco or e-cigarette use, reported higher prevalence of tobacco advertising in their communities relative to survey respondents but did not view it as targeting communities of color. Black non-Hispanic (20.9%) and Hispanic (21.4%) survey respondents perceived tobacco as a social justice issue more than white non-Hispanic (16.1%) respondents. The majority (>60%) of survey respondents supported bans on menthol and flavored tobacco, regardless of race or ethnicity. CONCLUSIONS: Respondents broadly supported menthol and flavored tobacco bans and recognized tobacco-industry influence on youth. Low awareness of tobacco as a social justice issue highlights the need to raise awareness of the underlying factors driving tobacco-related disparities. IMPLICATIONS: The majority of young people see the tobacco industry as targeting them. Most young people support bans on menthol and flavored tobacco bans, with support across racial and ethnic groups. While few young respondents perceived tobacco as a social justice issue, some perceived tobacco companies as targeting low-income and communities of color. Black non-Hispanic and Hispanic respondents were more likely to perceive tobacco as a social justice issue than white non-Hispanic respondents. Efforts to raise awareness among young people of tobacco as a social justice issue may be key in addressing tobacco disparities and advancing support for flavor tobacco bans.

Using Exogenous Social Media Exposure Measures to Assess the Effects of Smokeless Tobacco-Related Social Media Content on Smokeless Tobacco Sales in the United States.

INTRODUCTION: Prior research on the effects of social media promotion of tobacco products has predominantly relied on survey-based self-report measures of marketing exposure, which potentially introduce endogeneity, recall, and selection biases. New approaches can enhance measurement and help better understand the effects of exposure to tobacco-related messages in a dynamic social media marketing environment. We used geolocation-specific tweet rate as an exogenous indicator of exposure to smokeless tobacco (ST)-related content and employed this measure to examine the influence of social media marketing on ST sales. AIMS AND METHODS: Autoregressive error models were used to analyze the association between the ST-relevant tweet rate (aggregated by 4-week period from February 12, 2017 to June 26, 2021 and scaled by population density) and logarithmic ST unit sales across time by product type (newer, snus, conventional) in the United States, accounting for autocorrelated errors. Interrupted time series approach was used to control for policy change effects. RESULTS: ST product category-related tweet rates were associated with ST unit sales of newer and conventional products, controlling for price, relevant policy events, and the coronavirus disease 2019 (COVID-19) pandemic. On average, 100-unit increase in the number of newer ST-related tweets was associated with 14% increase in unit sales (RR = 1.14; p = .01); 100-unit increase in conventional ST tweets was associated with ~1% increase in unit sales (p = .04). Average price was negatively associated with the unit sales. CONCLUSIONS: Study findings reveal that ST social media tweet rate was related to increased ST consumption and illustrate the utility of exogenous measures in conceptualizing and assessing effects in the complex media environment. IMPLICATIONS: Tobacco control initiatives should include efforts to monitor the role of social media in promoting tobacco use. Surveillance of social media platforms is critical to monitor emerging tobacco product-related marketing strategies and promotional content reach. Exogenous measures of potential exposure to social media messages can supplement survey data to study media effects on tobacco consumption.

VoxAR: Adaptive Visualization of Volume Rendered Objects in Optical See-Through Augmented Reality.

We present VoxAR, a method to facilitate an effective visualization of volume-rendered objects in optical see-through head-mounted displays (OST-HMDs). The potential of augmented reality (AR) to integrate digital information into the physical world provides new opportunities for visualizing and interpreting scientific data. However, a limitation of OST-HMD technology is that rendered pixels of a virtual object can interfere with the colors of the real-world, making it challenging to perceive the augmented virtual information accurately. We address this challenge in a two-step approach. First, VoxAR determines an appropriate placement of the volume-rendered object in the real-world scene by evaluating a set of spatial and environmental objectives, managed as user-selected preferences and pre-defined constraints. We achieve a real-time solution by implementing the objectives using a GPU shader language. Next, VoxAR adjusts the colors of the input transfer function (TF) based on the real-world placement region. Specifically, we introduce a novel optimization method that adjusts the TF colors such that the resulting volume-rendered pixels are discernible against the background and the TF maintains the perceptual mapping between the colors and data intensity values. Finally, we present an assessment of our approach through objective evaluations and subjective user studies.

Submerse: Visualizing Storm Surge Flooding Simulations in Immersive Display Ecologies.

We present Submerse, an end-to-end framework for visualizing flooding scenarios on large and immersive display ecologies. Specifically, we reconstruct a surface mesh from input flood simulation data and generate a to-scale 3D virtual scene by incorporating geographical data such as terrain, textures, buildings, and additional scene objects. To optimize computation and memory performance for large simulation datasets, we discretize the data on an adaptive grid using dynamic quadtrees and support level-of-detail based rendering. Moreover, to provide a perception of flooding direction for a time instance, we animate the surface mesh by synthesizing water waves. As interaction is key for effective decision-making and analysis, we introduce two novel techniques for flood visualization in immersive systems: (1) an automatic scene-navigation method using optimal camera viewpoints generated for marked points-of-interest based on the display layout, and (2) an AR-based focus+context technique using an aux display system. Submerse is developed in collaboration between computer scientists and atmospheric scientists. We evaluate the effectiveness of our system and application by conducting workshops with emergency managers, domain experts, and concerned stakeholders in the Stony Brook Reality Deck, an immersive gigapixel facility, to visualize a superstorm flooding scenario in New York City.

A Patchy Prohibition: Product and flavor substitution after the FDA's prioritized enforcement policy on flavored e-cigarettes.

INTRODUCTION: E-cigarettes have rapidly grown in use among US adolescents; in response, the FDA engaged in an "enforcement policy on banned e-cigarette flavors" ("enforcement action") for pod-based e-cigarettes in January 2020, which accounted for most US e-cigarette sales. No literature has yet examined long-term changes in e-cigarette sales patterns changed in relation to the FDA enforcement action. METHODS: We analyzed US e-cigarette sales using Nielsen retail scanner data between March 2017-December 2021, describing e-cigarette sales trends overall, by device type, and by flavor category. We also performed Joinpoint regression analysis on the sales trends to detect significant changes in the rate of change of sales over time. RESULTS: The FDA enforcement action was associated with a sharp initial decrease in prefilled pod dollar sales, followed by a steady increase from April 2020 through the end of 2021, growing beyond the previous maximum in August 2019. We also observed a dramatic change in the composition of flavors sold: a large decline in mint-flavored pod sales was offset by a similar increase in menthol-flavored sales. Simultaneously, disposable products sales increased nearly ten-fold from July 2019 to July 2020 before stabilizing, dominated by fruit-flavored products. CONCLUSIONS: Our findings suggest rapid product substitution without a long-term decline in e-cigarette sales in association with the enforcement action, along with a growing dominance of youth-friendly flavors, contrasting against FDA policy goals. Our study revealed the weakness of the "patchy" enforcement action, raising a concern of its unintended consequences as consumption simply shifted to other e-cigarette products. IMPLICATIONS: This is the first detailed longitudinal study on e-cigarette sales trends in the US following the FDA flavor enforcement action, with novel findings on flavor trends and their relation to policy events. We report sales overall, by product type, and by flavor category, and highlight several important trends following the action, such as the rise and persistence of disposable e-cigarettes increasingly and overwhelmingly dominated by youth-friendly flavors, and likely substitution of prefilled e-cigarette flavor without any long-term decline in sales. Our results highlight the weaknesses of "patchy" regulation and suggest the need for a more comprehensive approach to flavor regulation.

A Safety Net Tobacco Use Cessation Resource: Quitline Service Usage, 2019.

INTRODUCTION: Quitlines are free, accessible evidence-based services that may provide an important resource for people facing barriers to clinical treatment for cessation of tobacco use. METHODS: Using 2019 intake data from the National Quitline Data Warehouse, we examined quitline service usage, stratified by sociodemographic characteristics. Only US quitlines reporting service type data were included (n = 40 [of 51]). Callers (aged ≥12 years) who registered with a quitline, reported current use of a tobacco product, and received at least 1 service comprised the analytic data. Chi-square tests examined differences in quitline services received by participant characteristics. RESULTS: In 2019, 182,544 people reporting current use of a tobacco product received at least 1 service from a quitline in 39 states and the District of Columbia. Among them, 80.4% had attained less than a college or university degree and 70.4% were uninsured or enrolled in Medicaid or in Medicare (aged <65 years). By educational attainment (aged ≥25 years), receipt of cessation medications ranged from 59.4% of callers with a college or university degree to 65.0% of callers with a high school diploma (P < .001). The range by insurance coverage was 59.3% of callers with private insurance to 74.7% of callers with Medicare (aged <65 years) (P < .001). CONCLUSION: Quitlines served as a resource for low-SES populations in 2019, providing cessation services to many people who may face barriers to clinical cessation treatment. Strengthening and expanding quitlines may help to increase cessation among populations with a disproportionately high prevalence of tobacco product use and improve the health and well-being of people in the US.

Changes in Sales of Tobacco and Nicotine Replacement Therapy Products Before and During the COVID-19 Pandemic.

INTRODUCTION: The COVID-19 pandemic and its associated social distancing policies such as lockdowns and quarantine influenced people's lives and health behaviors. We comprehensively assessed national trends in sales of cigarettes, cigars, e-cigarettes, and over-the-counter nicotine replacement therapy (NRT) products before and during the pandemic, allowing for cross-product comparisons. Stockpiling behavior was also assessed. METHODS: We used US national tobacco and over-the-counter NRT retail store scanner data (excluding internet, specialty/vape store, and prescription sales) collected at 4-week intervals by NielsenIQ from December 2018 to June 2021. We applied an interrupted time-series model to assess differences in tobacco product and NRT unit sales before and during the pandemic. We defined the prepandemic period as December 16, 2018, through April 4, 2020, pandemic as starting on April 5, 2020, through June 26, 2021, and the stockpiling period as one 4-week period before the pandemic started. RESULTS: Four-week cigarette, e-cigarette, and cigar unit sales on average increased by 11.5% (P = .006), 37.1% (P < .001), and 26.1% (P < .001) respectively, while 4-week NRT unit sales decreased on average by 13.1% (P < .001), during the pandemic compared with the prepandemic period. Stockpiling was associated with increases in sales of all tobacco products and NRT products. CONCLUSION: Unit sales of assessed tobacco products increased while NRT unit sales decreased during the COVID-19 pandemic, compared with the prepandemic period. These changes may suggest an increase in the intensity of tobacco product use or stockpiling of tobacco products among people who use tobacco.

Disclosure Standards for Social Media and Generative Artificial Intelligence Research: Toward Transparency and Replicability.

Social media dominate today's information ecosystem and provide valuable information for social research. Market researchers, social scientists, policymakers, government entities, public health researchers, and practitioners recognize the potential for social data to inspire innovation, support products and services, characterize public opinion, and guide decisions. The appeal of mining these rich datasets is clear. However, there is potential risk of data misuse, underscoring an equally huge and fundamental flaw in the research: there are no procedural standards and little transparency. Transparency across the processes of collecting and analyzing social media data is often limited due to proprietary algorithms. Spurious findings and biases introduced by artificial intelligence (AI) demonstrate the challenges this lack of transparency poses for research. Social media research remains a virtual "wild west," with no clear standards for reporting regarding data retrieval, preprocessing steps, analytic methods, or interpretation. Use of emerging generative AI technologies to augment social media analytics can undermine validity and replicability of findings, potentially turning this research into a "black box" enterprise. Clear guidance for social media analyses and reporting is needed to assure the quality of the resulting research. In this article, we propose criteria for evaluating the quality of studies using social media data, grounded in established scientific practice. We offer clear documentation guidelines to ensure that social data are used properly and transparently in research and applications. A checklist of disclosure elements to meet minimal reporting standards is proposed. These criteria will make it possible for scholars and practitioners to assess the quality, credibility, and comparability of research findings using digital data.

Changes in Sales of E-Cigarettes, Cigarettes, and Nicotine Replacement Therapy Products Before, During, and After the EVALI Outbreak.

INTRODUCTION: In 2019, an outbreak of e-cigarette, or vaping, product use-associated lung injury (EVALI) occurred in the US. We used Nielsen retail sales data to assess trends in sales of e-cigarettes, cigarettes, and nicotine replacement therapy (NRT) products before, during, and after the EVALI outbreak. METHODS: Monthly unit sales of e-cigarettes, cigarettes, and NRT products overall and by product type were assessed during January 2019 through June 2020 by using an interrupted time series model. Two time points were specified at the period ending July 13, 2019, and the period ending February 22, 2020, to partition before, during, and after the outbreak period. Sales trends by aggregated state-level EVALI case prevalence (low, medium, and high) were assessed to investigate interstate variations in changes of sales coinciding with the EVALI outbreak. RESULTS: Monthly e-cigarette sales increased 3.5% (P < .001) before the outbreak and decreased 3.1% (P < .001) during the outbreak, with no significant changes after the outbreak. Monthly cigarette sales increased 1.6% (P < .001) before the outbreak, decreased 1.8% (P < .001) during the outbreak, and increased 2.7% (P < .001) after the outbreak. NRT sales did not change significantly before or during the outbreak but decreased (2.8%, P = .01) after the outbreak. Sales trends by state-level EVALI case prevalence were similar to national-level sales trends. CONCLUSION: Cigarette and e-cigarette sales decreased during the EVALI outbreak, but no changes in overall NRT sales were observed until after the outbreak. Continued monitoring of tobacco sales data can provide insight into potential changes in use patterns and inform tobacco prevention and control efforts.

Marijuana Content on Digital Media and Marijuana Use among Young People in the United States.

Health behavior theory establishes that exposure to media messages about a topic influences related knowledge, attitudes, and behavior. Marijuana-related messages proliferating on digital media likely affect attitudes and behavior about marijuana. Most research studying marijuana-related media effects on behavior relies on self-reported survey measures, which are subject to bias; people find it difficult to recall timing, frequency, and sources of messages. We calculated an exogenous measure of exposure to marijuana-related messages on digital media based on emerging public communication environment (PCE) theory. Aggregated online searches and social media posts related to marijuana for a given place reflect the marijuana-related PCE, where people are exposed to and engage with messages from multiple sources. Exogenous measures overcome bias in self-reported exposure and outcome data: simultaneity bias and endogeneity. The PCE reflects both potential exposure and relative importance of the topic in the local community, which may influence real-world marijuana use. Using 2017 Twitter and Google Search data, we measured the marijuana-related PCE to quantify where opportunities for exposure to marijuana-related posts were high and examined relationships between potential exposure and current marijuana use among youth and young adults in 2018. We found that marijuana-related online search and tweeting at the media market level are associated with offline marijuana use, controlling for demographics and state marijuana policy. The marijuana-related digital media environment may reflect and/or influence youth and young adult marijuana use. Social media and online search data offer platforms to monitor the marijuana-related PCE and supplement survey data to study media exposure and marijuana use behavior.

Association between E-Cigarette Advertising Exposure and Use of E-Cigarettes among a Cohort of U.S. Youth and Young Adults.

Youth and young adult (YYA) use of e-cigarettes increased rapidly between 2010 and 2019 in the United States, during which exposure to e-cigarette advertising was also increased. We aimed to examine whether exposure to e-cigarette advertising among YYAs may lead to subsequent e-cigarette use. A cohort of 3886 YYAs ages 13-24 was recruited from two survey panels in 2018 and followed up until 2019. Survey data were collected online and by telephone. The primary outcome was past 30-day use of e-cigarettes at the follow-up survey. Among 2304 YYAs who retained at the follow-up survey and were not past 30-day e-cigarette users at baseline, both youth and young adults exposed to e-cigarette advertising at baseline had elevated odds of past 30-day e-cigarette use at follow-up (Youth adjusted odds ratio (aOR): 2.77, 95% CI: 1.23, 6.24; Young adults aOR: 2.34, 95% CI: 1.08, 5.11) compared with those not reporting baseline advertising exposure. The majority of YYAs reported exposure to e-cigarette advertising at baseline (Youth: 63.7%, 95% CI: 59.8, 67.4; Young adults: 58.3%, 95% CI: 53.6, 62.8). Our findings suggest that exposure to e-cigarette advertising was associated with an increase in subsequent past 30-day use of e-cigarettes among YYAs. Restricting advertising targeted at YYAs may reduce the likelihood of e-cigarette use among YYAs.

Online Tobacco Advertising and Current Chew, Dip, Snuff and Snus Use among Youth and Young Adults, 2018-2019.

OBJECTIVE: To understand the relationship between exposure to online tobacco advertising and current smokeless tobacco use in the context of tobacco control policies. METHODS: Three waves of a national probability-based sample of (n = 15,985) youth and young adults were used. Analysis consisted of GEE logistic models controlling for social media use, demographics, tobacco use, average price of smokeless tobacco inclusive of taxes, smoke-free indoor air laws (SFIA) and state tobacco control expenditures. RESULTS: Frequent exposure to tobacco advertising on social media is associated with greater odds of current smokeless use (aOR: 2.05, 95% CI: 1.62, 2.60). Higher prices and SFIA coverage were associated with reduced current smokeless use when examined separately from other tobacco policy variables (aOR: 0.79, CI: 0.73, 0.85; aOR: 0.44, CI: 0.28, 0.70). CONCLUSIONS: Greater exposure to tobacco advertising online is associated with greater odds of smokeless use among surveyed youth and young adults. This effect of social media marketing exposure on smokeless use outweighs the mitigating impact of existing tobacco control policies. The findings underscore the need for strong advertising regulation of evolving tobacco products, including smokeless products, on social media and surveillance of digital marketing tactics to young people.

The Effects of Tobacco Coverage in the Public Communication Environment on Young People's Decisions to Smoke Combustible Cigarettes.

In today's complex media environment, does media coverage influence youth and young adults' (YYA) tobacco use and intentions? We conceptualize the "public communication environment" and effect mediators, then ask whether over time variation in exogenously measured tobacco media coverage from mass and social media sources predicts daily YYA cigarette smoking intentions measured in a rolling nationally representative phone survey (N = 11,847 on 1,147 days between May 2014 and June 2017). Past week anti-tobacco and pro-tobacco content from Twitter, newspapers, broadcast news, Associated Press, and web blogs made coherent scales (thetas = 0.77 and 0.79). Opportunities for exposure to anti-tobacco content in the past week predicted lower intentions to smoke (Odds ratio [OR] = 0.95, p < .05, 95% confidence interval [CI] = 0.91-1.00). The effect was stronger among current smokers than among nonsmokers (interaction OR = 0.88, p < .05, 95% CI = 0.77-1.00). These findings support specific effects of anti-tobacco media coverage and illustrate a productive general approach to conceptualizing and assessing effects in the complex media environment.

Trends in Cigar Sales and Prices, by Product and Flavor Type-the United States, 2016-2020.

INTRODUCTION: Cigar smoking has increased in recent decades as the cigar product landscape has diversified. This study assessed trends in US cigar sales during 2016-2020. AIMS AND METHODS: Unit sales and average unit price for cigars were assessed during January 3, 2016-June 13, 2020, overall and by product and flavor type, for the 48 contiguous US states and D.C. Assessed cigar types were large cigars, little cigars, and cigarillos; assessed flavor types were tobacco/unflavored, candy/sweets, fruit, menthol, alcohol, coffee, other flavors, and no flavor stated. A joinpoint regression model was used to assess the magnitude and significance of sales trends. RESULTS: During January 3, 2016-June 13, 2020, unit sales of cigarillos increased (average monthly percentage change [AMPC] = 0.7%, p < .001), while unit sales of large cigars (AMPC = -0.8%, p < .001) and little cigars decreased (AMPC = -0.2%, p < .001). The average price of cigarillos gradually decreased since mid-August 2017 (AMPC = -0.1%, p < .001), and the average price of little cigars decreased from mid-June 2016 to mid-June 2019 (AMPC = -0.3%, p < .001). In contrast, the average price of large cigars increased during the entire study period (AMPC = 0.6%, p < .001). Irrespective of cigar type, tobacco-flavored/unflavored products were the most commonly sold cigars during the assessed period; however, sales of other flavors varied by cigar type. CONCLUSIONS: Cigar sales and price vary by type over time in the United States, including sales of cigarillos (94.2% of unit sales) increasing as their prices have decreased in recent years. Public health strategies are warranted to address the full scope of cigar types being used in the United States. IMPLICATIONS: Surveillance of cigar sales data, including product characteristics, can provide a timely complement to self-reported survey data of cigar use. This study assessed trends in US cigar sales during 2016-2020, including by product and flavor type. The findings indicate that sales of cigarillos, which comprise most cigar sales in the United States during the assessed period, increased as their prices decreased. Sales of certain flavors, such as candy/sweet cigarillos and coffee large cigars, increased significantly. These findings reinforce the importance of evidence-based strategies, including increasing price and restricting flavors, to reduce the affordability and consumption of cigars in the United States.

Heating Up: How Early Twitter Marketing Gave Rise to Organic Word-of-Mouth About Heated Tobacco Products.

Social media are an important marketing platform for emerging tobacco products. Heated tobacco products (HTPs) have been introduced in a limited number of local test markets in the United States as potentially reduced-exposure tobacco products. HTPs can be used to heat tobacco as well as marijuana. However, due to growing digital media promotion of these products, it is possible that public knowledge and purchasing opportunities extend beyond test markets. Research on HTP social media promotion is sparse. The objective of the present study is to assess the amount and characterize the content of HTP-related messages on Twitter. We used keyword rules to collect HTP-related posts from the Twitter Historical Powertrack from 1 August 2016 to 31 July 2021. Posts were coded for type (organic, commercial), promotional strategies (e.g., discounts, event promotion), and marijuana co-use mentions using a combination of machine learning methods and human coding. Keyword filters captured 121,012 relevant tweets posted over the period of data collection, with 46,013 (38.02%) tweets featuring commercial content. Findings revealed that there was a two-fold increase in the monthly volume of messages from August 2016 to July 2021. The proportion of organic tweets increased from 29% of all tweets in August 2016 to 73.5% in July 2021. Approximately 20.6% of tweets included mentions of marijuana, and 5,243 posts (4.3%) contained links to online retailers. Promotional tweets featured event promotion, discounts, reduced harm appeals, and fashion appeals. Tobacco control and substance use prevention initiatives should include efforts to monitor the role of social media in promoting organic word-of-mouth and normalizing novel tobacco products.

The Association between E-Cigarette Price and TV Advertising and the Sales of Smokeless Tobacco Products in the USA.

This study aims to examine how e-cigarette prices and advertising, key determinants of e-cigarette demand, are associated with the demand for smokeless tobacco (SLT) products in the US. Market-level sales and price data by year (2010-2017), quarter, and type of retail store were compiled from Nielsen retail store scanner database. E-cigarette TV advertising ratings data were compiled from Kantar Media. Four-way (market, year, quarter, store type) fixed-effect models were used to estimate the associations between e-cigarette price and TV advertising and sales of SLT products (chewing loose leaf, moist snuff, and snus). Our results showed that a 1% rise in own price was associated with a reduction in sales by 1.8% for chewing loose leaf, 1.6% for moist snuff, and 2.2% for snus, respectively. In addition, a 1% rise in disposable e-cigarette price was associated with 0.3% and 0.6% increased sales for moist snuff and snus, respectively. The association between e-cigarette TV advertising and SLT product sales was not significant. Our results suggest that disposable e-cigarettes and certain SLT products (moist snuff and snus) are potential substitutes. Policies aiming to regulate e-cigarette use and sales need to consider their potential link with the demand for SLT products.

Exposure to e-cigarette TV advertisements among U.S. youth and adults, 2013-2019.

INTRODUCTION: E-cigarette advertising has been shown to increase e-cigarette awareness and use. Although e-cigarette marketing in the early 2010s has been well-documented, little is known about how it has changed in recent years in response to the regulatory scrutiny from the FDA and the Congress to combat youth vaping epidemic. This study aims to examine the exposure to e-cigarette TV advertising among youth and adults in the U.S. from 2013 to 2019, overall and by media market and brand. METHODS: Quarterly data on e-cigarette TV advertising exposure, measured by target rating points (TRPs), and expenditures from 2013 to 2019 were compiled from the StradegyTM of Kantar Media. Trends of quarterly e-cigarette advertising TRPs were reported by age group, market, and brand. RESULTS: Over the study period, overall exposure to e-cigarette TV advertising was higher among adults than among youth. E-cigarette advertising TRPs and expenditures were relatively stable, despite intermittent fluctuations, between 2013 Q1 and 2017 Q1 except for a one-time dip in 2015 Q3, followed by a sharp decline in 2017 Q2 and stayed low till the end of 2018. A resurgence of e-cigarette advertising TRPs occurred in 2019 Q1, led by the advertising from JUUL, Blu, and Vuse, which peaked in the third quarter of 2019, with quarterly TRPs reaching 316.8 for youth and 1,701.9 for adults, and quarterly advertising expenditure totaling $31 million. CONCLUSIONS: Significant variations, both over time and across media markets and brands, were observed for e-cigarette televised advertising between 2013 and 2019. Following a lull in TV advertising in 2017/18, major e-cigarette companies have substantially increased advertising of their products on American television since early 2019, resulting in a surge in exposure to e-cigarette advertising among both youth and adults. Our findings highlighted the importance of continued monitoring of e-cigarette advertising in the U.S.

Sustained fetal hemoglobin induction in vivo is achieved by BCL11A interference and coexpressed truncated erythropoietin receptor.

Hematopoietic stem cell gene therapy for hemoglobin disorders, including sickle cell disease, requires high-efficiency lentiviral gene transfer and robust therapeutic globin expression in erythroid cells. Erythropoietin is a key cytokine for erythroid proliferation and differentiation (erythropoiesis), and truncated human erythropoietin receptors (thEpoR) have been reported in familial polycythemia. We reasoned that coexpression of thEpoR could enhance the phenotypic effect of a therapeutic vector in erythroid cells in xenograft mouse and autologous nonhuman primate transplantation models. We generated thEpoR by deleting 40 amino acids from the carboxyl terminus, allowing for erythropoietin-dependent enhanced erythropoiesis of gene-modified cells. We then designed lentiviral vectors encoding both thEpoR and B cell lymphoma/leukemia 11A (BCL11A)-targeting microRNA-adapted short hairpin RNA (shmiR BCL11A) driven by an erythroid-specific promoter. thEpoR expression enhanced erythropoiesis among gene-modified cells in vitro. We then transplanted lentiviral vector gene-modified CD34+ cells with erythroid-specific expression of both thEpoR and shmiR BCL11A and compared to cells modified with shmiR BCL11A only. We found that thEpoR enhanced shmiR BCL11A-based fetal hemoglobin (HbF) induction in both xenograft mice and rhesus macaques, whereas HbF induction with shmiR BCL11A only was robust, yet transient. thEpoR/shmiR BCL11A coexpression allowed for sustained HbF induction at 20 to 25% in rhesus macaques for 4 to 8 months. In summary, we developed erythroid-specific thEpoR/shmiR BCL11A-expressing vectors, enhancing HbF induction in xenograft mice and rhesus macaques. The sustained HbF induction achieved by addition of thEpoR and shmiR BCL11A may represent a viable gene therapy strategy for hemoglobin disorders.