How can hospitals change practice to better implement smoking cessation interventions? A systematic review.

Smoking cessation reduces the risk of death, improves recovery, and reduces the risk of hospital readmission. Evidence and policy support hospital admission as an ideal time to deliver smoking-cessation interventions. However, this is not well implemented in practice. In this systematic review, the authors summarize the literature on smoking-cessation implementation strategies and evaluate their success to guide the implementation of best-practice smoking interventions into hospital settings. The CINAHL Complete, Embase, MEDLINE Complete, and PsycInfo databases were searched using terms associated with the following topics: smoking cessation, hospitals, and implementation. In total, 14,287 original records were identified and screened, resulting in 63 eligible articles from 56 studies. Data were extracted on the study characteristics, implementation strategies, and implementation outcomes. Implementation outcomes were guided by Proctor and colleagues' framework and included acceptability, adoption, appropriateness, cost, feasibility, fidelity, penetration, and sustainability. The findings demonstrate that studies predominantly focused on the training of staff to achieve implementation. Brief implementation approaches using a small number of implementation strategies were less successful and poorly sustained compared with well resourced and multicomponent approaches. Although brief implementation approaches may be viewed as advantageous because they are less resource-intensive, their capacity to change practice in a sustained way lacks evidence. Attempts to change clinician behavior or introduce new models of care are challenging in a short time frame, and implementation efforts should be designed for long-term success. There is a need to embrace strategic, well planned implementation approaches to embed smoking-cessation interventions into hospitals and to reap and sustain the benefits for people who smoke.

Association of time spent on social media with youth cigarette smoking and e-cigarette use in the UK: a national longitudinal study.

BACKGROUND: Social media may influence children and young people's health behaviour, including cigarette and e-cigarette use. METHODS: We analysed data from participants aged 10-25 years in the UK Household Longitudinal Study 2015-2021. The amount of social media use reported on a normal weekday was related to current cigarette smoking and e-cigarette use. Generalised estimating equation (GEE) logistic regression models investigated associations of social media use with cigarette smoking and e-cigarette use. Models controlled for possible confounders including age, sex, country of UK, ethnicity, household income and use of cigarette/e-cigarettes by others within the home. RESULTS: Among 10 808 participants with 27 962 observations, current cigarette smoking was reported by 8.6% of participants for at least one time point, and current e-cigarette use by 2.5% of participants. In adjusted GEE models, more frequent use of social media was associated with greater odds of current cigarette smoking. This was particularly apparent at higher levels of use (eg, adjusted odds ratio (AOR) 3.60, 95% CI 2.61 to 4.96 for ≥7 hours/day vs none). Associations were similar for e-cigarettes (AOR 2.73, 95% CI 1.40 to 5.29 for ≥7 hours/day social media use vs none). There was evidence of dose-response in associations between time spent on social media and both cigarette and e-cigarette use (both p<0.001). Analyses stratified by sex and household income found similar associations for cigarettes; however, for e-cigarettes associations were concentrated among males and those from higher household income groups. CONCLUSIONS: Social media use is associated with increased risk of cigarette smoking and e-cigarette use. There is a need for greater research on this issue as well as potential policy responses.

Tobacco and COPD: presenting the World Health Organization (WHO) Tobacco Knowledge Summary.

The WHO recently published a Tobacco Knowledge Summary (TKS) synthesizing current evidence on tobacco and COPD, aiming to raise awareness among a broad audience of health care professionals. Furthermore, it can be used as an advocacy tool in the fight for tobacco control and prevention of tobacco-related disease. This article builds on the evidence presented in the TKS, with a greater level of detail intended for a lung-specialist audience. Pulmonologists have a vital role to play in advocating for the health of their patients and the wider population by sharing five key messages: (1) Smoking is the leading cause of COPD in high-income countries, contributing to approximately 70% of cases. Quitting tobacco is an essential step toward better lung health. (2) People with COPD face a significantly higher risk of developing lung cancer. Smoking cessation is a powerful measure to reduce cancer risk. (3) Cardiovascular disease, lung cancer and type-2 diabetes are common comorbidities in people with COPD. Quitting smoking not only improves COPD management, but also reduces the risk of developing these coexisting conditions. (4) Tobacco smoke also significantly impacts children's lung growth and development, increasing the risk of respiratory infections, asthma and up to ten other conditions, and COPD later in life. Governments should implement effective tobacco control measures to protect vulnerable populations. (5) The tobacco industry's aggressive strategies in the marketing of nicotine delivery systems and all tobacco products specifically target children, adolescents, and young adults. Protecting our youth from these harmful tactics is a top priority.

Key issues surrounding the health impacts of electronic nicotine delivery systems (ENDS) and other sources of nicotine.

Answer questions and earn CME/CNE Over the last decade, the use of electronic nicotine delivery systems (ENDS), including the electronic cigarette or e-cigarette, has grown rapidly. More youth now use ENDS than any tobacco product. This extensive research review shows that there are scientifically sound, sometimes competing arguments about ENDS that are not immediately and/or completely resolvable. However, the preponderance of the scientific evidence to date suggests that current-generation ENDS products are demonstrably less harmful than combustible tobacco products such as conventional cigarettes in several key ways, including by generating far lower levels of carcinogens and other toxic compounds than combustible products or those that contain tobacco. To place ENDS in context, the authors begin by reviewing the trends in use of major nicotine-containing products. Because nicotine is the common core-and highly addictive-constituent across all tobacco products, its toxicology is examined. With its long history as the only nicotine product widely accepted as being relatively safe, nicotine-replacement therapy (NRT) is also examined. A section is also included that examines snus, the most debated potential harm-reduction product before ENDS. Between discussions of NRT and snus, ENDS are extensively examined: what they are, knowledge about their level of "harm," their relationship to smoking cessation, the so-called gateway effect, and dual use/poly-use. CA Cancer J Clin 2017;67:449-471. © 2017 American Cancer Society.

Examining the relationship of flavored tobacco product policy restrictions and flavored tobacco product use, among adolescents and young adults in the U.S.

OBJECTIVE: This work examines the relationship between local flavor policy exposure and any tobacco product use and flavored tobacco product use among U.S. youth and young adults, as well as the equity potential of these policies by race/ethnicity. METHODS: Participants were aged 15-36 (n = 10,893) surveyed from September-December 2019 using national, address- and probability-based sampling. Local flavor policies enacted before survey completion were linked to participant home address. Weighted cross-sectional multivariable logistic regression examined individual coverage by flavor policy vs. no flavor policy, with current any tobacco or flavored tobacco use, controlling for individual and county-level demographics, psychosocial variables, and other tobacco control policies. Interactions between race/ethnicity and any tobacco use and flavored tobacco use were assessed. RESULTS: Those covered by a flavor policy vs. no policy had lower odds of any tobacco use (aOR = 0.74, 95% CI = 0.55-1.00) and current flavored tobacco use (aOR = 0.67, 95% CI = 0.48-0.93). Compared with Non-Hispanic (NH)-White individuals, NH-Black individuals (aOR = 1.08, CI = 1.04-1.12) had higher odds of any tobacco use, and non-Hispanic Asian individuals had lower odds of any tobacco use (aOR = 0.67, CI = 0.53-0.85). Hispanic individuals exposed to policy had lower odds of flavored tobacco use compared to NH-White peers. CONCLUSIONS: Exposure to flavor restriction policies is associated with lower odds of any tobacco and flavored use among youth and young adults. Flavor restrictions may be beneficial in reducing tobacco use in youth from diverse racial/ethnic backgrounds. However, passing policies covering NH-Black individuals is needed to mitigate disparities in tobacco use by flavor policy coverage over time.

Examining U.S. disparities in smoking among rural versus urban women of reproductive age: 2002-2019.

OBJECTIVE: This study is part of a programmatic investigation of rural disparities in cigarette smoking examining disparities in smoking prevalence and for the first-time quit ratios among adult women of reproductive age (18-44 years), a highly vulnerable population due to risk for multigenerational adverse effects. METHODS: Data came from 18 years (2002-2019) of the U.S. National Survey on Drug Use and Health (NSDUH) among women (n = 280,626) categorized by rural-urban residence, pregnancy status, using weighted logistic regression models testing time trends and controlling for well-established sociodemographic predictors of smoking (race/ethnicity, education, income). Concerns regarding changes in survey methods used before 2002 and after 2019 precluded inclusion of earlier and more recent survey years in the present study. RESULTS: Overall smoking prevalence across years was greater in rural than urban residents (adjusted odds ratio [AOR] = 1.11; 95%CI, 1.07-1.15; P < .001) including those not-pregnant (AOR = 1.10; 1.07-1.14; P < .001) and pregnant (AOR = 1.29; 1.09-1.52; P < .001). Overall quit ratios across years were lower in rural than urban residents (AOR = 0.93; 0.87-0.99; P < .001) including those not-pregnant (AOR = 0.93; 0.88-1.00, P = .035) and pregnant (AOR = 0.78; 0.62-0.99; P = .039). Interactions of rural versus urban residence with study years for prevalence and quit ratios overall and by pregnancy status are detailed in the main text. CONCLUSIONS: These results support a longstanding and robust rural disparity in smoking prevalence among women of reproductive age including those currently pregnant and provides novel evidence that differences in smoking cessation contribute to this disparity further underscoring a need for greater access to evidence-based tobacco control and regulatory interventions in rural regions.

Reprint of: Examining U.S. disparities in smoking among rural versus urban women of reproductive age: 2002-2019.

OBJECTIVE: This study is part of a programmatic investigation of rural disparities in cigarette smoking examining disparities in smoking prevalence and for the first-time quit ratios among adult women of reproductive age (18-44 years), a highly vulnerable population due to risk for multigenerational adverse effects. METHODS: Data came from 18 years (2002-2019) of the U.S. National Survey on Drug Use and Health (NSDUH) among women (n = 280,626) categorized by rural-urban residence, pregnancy status, using weighted logistic regression models testing time trends and controlling for well-established sociodemographic predictors of smoking (race/ethnicity, education, income). Concerns regarding changes in survey methods used before 2002 and after 2019 precluded inclusion of earlier and more recent survey years in the present study. RESULTS: Overall smoking prevalence across years was greater in rural than urban residents (adjusted odds ratio [AOR] = 1.11; 95%CI, 1.07-1.15; P < .001) including those not-pregnant (AOR = 1.10; 1.07-1.14; P < .001) and pregnant (AOR = 1.29; 1.09-1.52; P < .001). Overall quit ratios across years were lower in rural than urban residents (AOR = 0.93; 0.87-0.99; P < .001) including those not-pregnant (AOR = 0.93; 0.88-1.00, P = .035) and pregnant (AOR = 0.78; 0.62-0.99; P = .039). Interactions of rural versus urban residence with study years for prevalence and quit ratios overall and by pregnancy status are detailed in the main text. CONCLUSIONS: These results support a longstanding and robust rural disparity in smoking prevalence among women of reproductive age including those currently pregnant and provides novel evidence that differences in smoking cessation contribute to this disparity further underscoring a need for greater access to evidence-based tobacco control and regulatory interventions in rural regions.

A compartmental model for smoking dynamics in Italy: a pipeline for inference, validation, and forecasting under hypothetical scenarios.

We propose a compartmental model for investigating smoking dynamics in an Italian region (Tuscany). Calibrating the model on local data from 1993 to 2019, we estimate the probabilities of starting and quitting smoking and the probability of smoking relapse. Then, we forecast the evolution of smoking prevalence until 2043 and assess the impact on mortality in terms of attributable deaths. We introduce elements of novelty with respect to previous studies in this field, including a formal definition of the equations governing the model dynamics and a flexible modelling of smoking probabilities based on cubic regression splines. We estimate model parameters by defining a two-step procedure and quantify the sampling variability via a parametric bootstrap. We propose the implementation of cross-validation on a rolling basis and variance-based Global Sensitivity Analysis to check the robustness of the results and support our findings. Our results suggest a decrease in smoking prevalence among males and stability among females, over the next two decades. We estimate that, in 2023, 18% of deaths among males and 8% among females are due to smoking. We test the use of the model in assessing the impact on smoking prevalence and mortality of different tobacco control policies, including the tobacco-free generation ban recently introduced in New Zealand.

E-cigarette retail outlets in Mexico: a country that bans the sale.

INTRODUCTION: Restrictive e-cigarette policies have not allowed for the characterization of the sale of these tobacco products in the countries where they are implemented. This is because it is believed that there are no stores. However, the use of e-cigarettes persists in these countries. METHODS: A content analysis of electronic cigarette points of sale through the internet in Mexico was conducted. Cross-sectional study. Structured searches were performed in the Google Maps search engine with the terms "electronic cigarette store" and "vape store" in combination with the name of each state of Mexico, in the period from October 2021 to February 2022. RESULTS: A total of 695 e-cigarette stores were located, of which 481 (69.2%) were physical stores, 207 hybrid stores (29.8%), 4 online stores (0.6%) and 3 (0.4%) vending machines. A total of 316 e-cigarette brands and 578 vape liquid brands were identified. The sales attraction strategy they used the most was free shipping of products (85.8%). Stores used WhatsApp (92.5%), Facebook (86.3%) and Instagram (74.4%) to promote their products. Only 35.1% of stores checked the age of their customers, of which, 95.9% asked if the customer was of legal age and 4.1% asked for the date of birth. In addition, 25.6% of the stores warned about nicotine addiction and 24.2% specifically about the ingredients of the liquids. CONCLUSIONS: E-cigarettes are widely available and marketed in a variety of retail outlets in Mexico. The high number of stores, brands of liquids, and e-cigarettes indicates non-compliance with existing regulations. IMPLICATIONS: E-cigarette consumption has increased globally, even in countries with restrictive regulations. However, there is limited data on the density and characteristics of vape stores in low- and middle-income countries with restrictive regulations. This study found no significant differences in e-cigarette sales between countries with permissive and restrictive regulations. Therefore, it is suggested that, in addition to establishing restrictive policies on the sale of e-cigarettes, their enforcement should also be monitored. Countries with restrictive measures should regulate Internet sales and promotion of e-cigarettes with greater emphasis.

Recognition of online e-cigarette marketing and e-cigarette-related attitudes and behaviors among young adults.

INTRODUCTION: Past research examining the relationship between exposure to online e-cigarette marketing and e-cigarette-related attitudes and behaviors has relied on unaided recall measures that may suffer from self-report bias. To date, few studies have presented participants with e-cigarette marketing stimuli and assessed recognition. This study examined the associations between recognition of online e-cigarette marketing stimuli and e-cigarette-related attitudes and behaviors among young adults in California. METHODS: A non-probability representative sample of young adults (ages 18-24; N=1500) living in California completed an online survey assessing their recognition of online e-cigarette marketing stimuli, including image-based (i.e., Instagram, email) and audiovisual (i.e., YouTube, TikTok) promotions, and positive e-cigarette-related attitudes (e.g., appeal of e-cigarettes) and behaviors (e.g., e-cigarette use). Adjusted and weighted logistic regression analyses were used. RESULTS: 79.0% (n=1185) of young adults, including 78.1% (n=310/397) of participants under 21 years old, recognized online e-cigarette marketing. Participants who reported recognition of stimuli, compared with those who did not, had greater odds of reporting appeal of e-cigarettes (AOR=2.26, 95% CI=1.65-3.09) and e-cigarette purchase intentions (AOR=1.66, 95% CI=1.13-2.43) among all participants, and susceptibility to use e-cigarettes among never users (AOR=2.29, 95% CI=1.59-3.29). CONCLUSIONS: Young adults in California recognized audiovisual and image-based online e-cigarette marketing. Such recognition may lead to positive e-cigarette-related attitudes and behavioral intentions, especially among never users. Future research should examine the causal relationship between the associations found in this study. Findings may inform the development and evaluation of psychometrically valid measures of online e-cigarette marketing exposures. IMPLICATIONS: Recognition of online e-cigarette marketing stimuli was associated with greater odds of reporting appeal and benefits of e-cigarettes, purchase intentions, and lifetime e-cigarette use among all participants, and susceptibility to use e-cigarettes among never users. These findings may motivate the development and evaluation of psychometrically valid measures of online e-cigarette marketing exposures.

What is the relationship between raising the minimum legal sales age of tobacco above 20 and cigarette smoking? A systematic review.

INTRODUCTION: There is considerable interest in raising the age of sale of tobacco above the conventional age of 18. We systematically reviewed whether raising the minimum legal sales age of tobacco (MLSA) to 20 or above is associated with reduced prevalence of smoking compared to an MLSA set at 18 or below. METHODS: Following a pre-registered protocol on PROSPERO (ref: CRD42022347604), six databases of peer-reviewed journals were searched from January 2015 to April 2024. Backwards and forwards reference searching was conducted. Included studies assessed the association between MLSAs ≥20 with cigarette smoking or cigarette sales for those aged 11-20. Assessments on e-cigarettes were excluded. Pairs of reviewers independently extracted study data. We used ROBINS-I to assess risk of bias and GRADE to assess quality of evidence. Findings were also synthesised narratively. RESULTS: 23 studies were reviewed and 34 estimates of association were extracted. All extracted studies related to Tobacco 21 laws in the United States. Moderate quality evidence was found for reduced cigarette sales, moderate quality evidence was found for reduced current smoking for 18 - 20 year olds, and low quality evidence was found for reduced current smoking for 11 - 17 year olds. The positive association was stronger for those with lower education. Study bias was variable. CONCLUSIONS: There is moderate quality evidence that Tobacco 21 can reduce overall cigarette sales and current cigarette smoking amongst those aged 18- 20. It has potential to reduce health inequalities. Research in settings other than the United States is required. IMPLICATIONS: This systematic review on raising the minimum legal sale age of tobacco to 20 or above demonstrates there is moderate quality evidence that such laws reduce cigarette sales, and moderate quality evidence they reduce smoking prevalence amongst those aged 18-20 compared to a minimum legal sale age of 18 or below. The research highlights potential benefits in reducing health inequalities, especially individuals from lower educational backgrounds. Studies are limited to the United States, highlighting a need for more global research to assess the impact of these policies in other settings.

The effect of vertical identification card laws on teenage tobacco and alcohol use.

We study the impact of vertical identification card laws, which changed the orientation of driver's licenses and state identification cards from horizontal to vertical for those under 21 years, on teenage tobacco and alcohol use. We study this question using four national datasets (pooled national and state Youth Risk Behavior Surveillance System, National Youth Tobacco Survey, Current Population Survey to Tobacco Use Supplements, and Behavioral Risk Factor Surveillance System). We improve previous databases of vertical ID law implementation by using original archival research to identify the exact date of the law change. We estimate models using standard two-way fixed effects and stacked difference-in-differences that avoid bias from dynamic and heterogeneous treatment effects. Using data through 2021, we do not find evidence of reductions in teenage tobacco and alcohol use. While these laws reduce retail-based purchasing, they also increase social sourcing, thus leading to no net impact on use.

Interpreting results, impacts and implications from WHO FCTC tobacco control investment cases in 21 low-income and middle-income countries.

BACKGROUND: Tobacco control investment cases analyse the health and socioeconomic costs of tobacco use and the benefits that can be achieved from implementing measures outlined in the WHO Framework Convention on Tobacco Control (WHO FCTC). They are intended to provide policy-makers and other stakeholders with country-level evidence that is relevant, useful and responsive to national priorities and policy context. METHODS: This paper synthesises findings from investment cases conducted in Armenia, Cabo Verde, Cambodia, Chad, Colombia, Costa Rica, El Salvador, Eswatini, Georgia, Ghana, Jordan, Laos, Madagascar, Myanmar, Nepal, Samoa, Sierra Leone, Sri Lanka, Suriname, Tunisia and Zambia. We examine annual socioeconomic costs associated with tobacco use, focusing on smoking-related healthcare expenditures, the value of lives lost due to tobacco-related mortality and workplace productivity losses due to smoking. We explore potential benefits associated with WHO FCTC tobacco demand-reduction measures. RESULTS: Tobacco use results in average annual socioeconomic losses of US$95 million, US$610 million and US$1.6 billion among the low-income (n=3), lower-middle-income (n=12) and upper-middle-income countries (n=6) included in this analysis, respectively. These losses are equal to 1.1%, 1.8% and 2.9% of average annual national gross domestic product, respectively. Implementation and enforcement of WHO FCTC tobacco demand-reduction measures would lead to reduced tobacco use, fewer tobacco-related deaths and reduced socioeconomic losses. CONCLUSIONS: WHO FCTC tobacco control measures would provide a positive return on investment in every country analysed.

A qualitative study examining the impact of COVID-19 on capacity for sustainability of tobacco control programs.

BACKGROUND: The coronavirus (COVID-19) pandemic presented a significant stressor on the public health system in the United States. While we know the immediate effects of the pandemic on public health programming, no literature has examined the resultant long-term impact on programmatic capacity for sustainability. This paper aims to identify the impact that the COVID-19 pandemic had on state tobacco control program's capacity for sustainability. METHODS: From December 2018 to January 2022, we conducted 46 technical assistance calls with tobacco control program employees from 11 states. Calls were audio recorded and professionally transcribed. We analyzed calls (n = 20) that took place during the COVID-19 pandemic. Thematic analysis focused on the impact the COVID-19 pandemic had on tobacco control program's capacity for sustainability. RESULTS: We identified six domains of sustainability that were impacted by COVID-19: (1) funding stability; (2) organizational capacity; (3) partnerships; (4) communication; (5) strategic planning; and (6) program adaptation. CONCLUSIONS: Our study is the first to identify the impact of the pandemic on capacity for sustainability of tobacco control programs. Having an understanding of COVID-19's influence on these sustainability domains could help with future public health programming during significant public health events and emergency preparedness. GOV IDENTIFIER: NCT03598114. REGISTRATION DATE: Retrospectively registered 02-07-2018.

Effects of a Social Media Intervention on Vaping Intentions: Randomized Dose-Response Experiment.

BACKGROUND: e-Cigarette use, especially by young adults, is at unacceptably high levels and represents a public health risk factor. Digital media are increasingly being used to deliver antivaping campaigns, but little is known about their effectiveness or the dose-response effects of content delivery. OBJECTIVE: The objectives of this study were to evaluate (1) the effectiveness of a 60-day antivaping social media intervention in changing vaping use intentions and beliefs related to the stimulus content and (2) the dose-response effects of varying levels of exposure to the intervention on vaping outcomes, including anti-industry beliefs, vaping intentions, and other attitudes and beliefs related to vaping. METHODS: Participants were adults aged 18 to 24 years in the United States. They were recruited into the study through Facebook (Meta Platforms) and Instagram (Meta Platforms), completed a baseline survey, and then randomized to 1 of the 5 conditions: 0 (control), 4, 8, 16, and 32 exposures over a 15-day period between each survey wave. Follow-up data were collected 30 and 60 days after randomization. We conducted stratified analyses of the full sample and in subsamples defined by the baseline vaping status (never, former, and current). Stimulus was delivered through Facebook and Instagram in four 15-second social media videos focused on anti-industry beliefs about vaping. The main outcome measures reported in this study were self-reported exposure to social media intervention content, attitudes and beliefs about vaping, and vaping intentions. We estimated a series of multivariate linear regressions in Stata 17 (StataCorp). To capture the dose-response effect, we assigned each study arm a numerical value corresponding to the number of advertisements (exposures) delivered to participants in each arm and used this number as our focal independent variable. In each model, the predictor was the treatment arm to which each participant was assigned. RESULTS: The baseline sample consisted of 1491 participants, and the final analysis sample consisted of 57.28% (854/1491) of the participants retained at the 60-day follow-up. We compared the retained participants with those lost to follow-up and found no statistically significant differences across demographic variables. We found a significant effect of the social media treatment on vaping intentions (ß=-0.138, 95% CI -0.266 to -0.010; P=.04) and anti-industry beliefs (ß=-0.122, 95% CI 0.008-0.237; P=.04) targeted by the intervention content among current vapers but not among the full sample or other strata. We found no significant effects of self-reported exposure to the stimulus. CONCLUSIONS: Social media interventions are a promising approach to preventing vaping among young adults. More research is needed on how to optimize the dosage of such interventions and the extent to which long-term exposure may affect vaping use over time. TRIAL REGISTRATION: ClinicalTrials.gov NCT04867668; https://clinicaltrials.gov/study/NCT04867668.

Impact of Traditional and New Media on Smoking Intentions and Behaviors: Secondary Analysis of Tasmania's Tobacco Control Mass Media Campaign Program, 2019-2021.

BACKGROUND: Tasmania, the smallest state by population in Australia, has a comprehensive tobacco control mass media campaign program that includes traditional (eg, television) and "new" channels (eg, social media), run by Quit Tasmania. The campaign targets adult smokers, in particular men aged 18-44 years, and people from low socioeconomic areas. OBJECTIVE: This study assesses the impact of the 2019-2021 campaign program on smokers' awareness of the campaign program, use of Quitline, and smoking-related intentions and behaviors. METHODS: We used a tracking survey (conducted 8 times per year, immediately following a burst of campaign activity) to assess campaign recall and recognition, intentions to quit, and behavioral actions taken in response to the campaigns. The sample size was approximately 125 participants at each survey wave, giving a total sample size of 2000 participants over the 2 years. We merged these data with metrics including television target audience rating points, digital and Facebook (Meta) analytics, and Quitline activity data, and conducted regression and time-series modeling. RESULTS: Over the evaluation period, unprompted recall of any Quit Tasmania campaign was 18%, while prompted recognition of the most recent campaign was 50%. Over half (52%) of those who recognized a Quit Tasmania campaign reported that they had performed or considered a quitting-related behavioral action in response to the campaign. In the regression analyses, we found having different creatives within a single campaign burst was associated with higher campaign recall and recognition and an increase in the strength of behavioral actions taken. Higher target audience rating points were associated with higher campaign recall (but not recognition) and an increase in quit intentions, but not an increase in behavioral actions taken. Higher Facebook advertisement reach was associated with lower recall among survey participants, but recognition was higher when digital channels were used. The time-series analyses showed no systematic trends in Quitline activity over the evaluation period, but Quitline activity was higher when Facebook reach and advertisement spending were higher. CONCLUSIONS: Our evaluation suggests that a variety of creatives should be used simultaneously and supports the continued use of traditional broadcast channels, including television. However, the impact of television on awareness and behavior may be weakening. Future campaign evaluations should closely monitor the effectiveness of television as a result. We are also one of the first studies to explicitly examine the impact of digital and social media, finding some evidence that they influence quitting-related outcomes. While this evidence is promising for campaign implementation, future evaluations should consider adopting rigorous methods to further investigate this relationship.

Discussion of Heated Tobacco Products on Twitter Following IQOS's Modified-Risk Tobacco Product Authorization and US Import Ban: Content Analysis.

BACKGROUND: Understanding public opinions about emerging tobacco products is important to inform future interventions and regulatory decisions. Heated tobacco products (HTPs) are an emerging tobacco product category promoted by the tobacco industry as a "better alternative" to combustible cigarettes. Philip Morris International's IQOS is leading the global HTP market and recently has been subject to important policy events, including the US Food and Drug Administration's (FDA) modified-risk tobacco product (MRTP) authorization (July 2020) and the US import ban (November 2021). Although limited in their legal implications outside the United States, these policy events have been quoted in global news outlets and Philip Morris International's promotional communications, showing how they may potentially impact global tobacco regulation. Given the impending return of IQOS to the US market, understanding how the policy events were received through social media discourse will provide valuable insights to inform global tobacco control policy. OBJECTIVE: This study aims to examine HTP-related social media discourse around important policy events. METHODS: We analyzed HTP-related posts on Twitter during the time period that included IQOS's MRTP authorization in the United States and the US import ban, examining personal testimonial, news/information, and direct marketing/retail tweets separately. We also examined how the tweets discussed health and policy. A total of 10,454 public English tweets (posted from June 2020 to December 2021) were collected using HTP-related keywords. We randomly sampled 2796 (26.7%) tweets and conducted a content analysis. We used pairwise co-occurrence analyses to evaluate connections across themes. RESULTS: Tweet volumes peaked around IQOS-related policy events. Among all tweets, personal testimonials were the most common (1613/2796, 57.7%), followed by news/information (862/2796, 30.8%) and direct marketing/retail (321/2796, 11%). Among personal testimonials, more tweets were positive (495/1613, 30.7%) than negative (372/1613, 23.1%), often comparing the health risks of HTPs with cigarettes (402/1613, 24.9%) or vaping products (252/1613, 15.6%). Approximately 10% (31/321) of the direct marketing/retail tweets promoted international delivery, suggesting cross-border promotion. More than a quarter of tweets (809/2796, 28.9%) discussed US and global policy, including misinterpretation about IQOS being a "safer" tobacco product after the US FDA's MRTP authorization. Neutral testimonials mentioning the IQOS brand (634/1613, 39.3%) and discussing policy (378/1613, 23.4%) showed the largest pairwise co-occurrence. CONCLUSIONS: Results suggest the need for careful communication about the meaning of MRTP authorizations and relative risks of tobacco products. Many tweets expressed HTP-favorable opinions referring to reduced health risks, even though the US FDA has denied marketing of the HTP with reduced risk claims. The popularity of social media as an information source with global reach poses unique challenges in health communication and health policies. While many countries restrict tobacco marketing via the web, our results suggest that retailers may circumvent such regulations by operating overseas.

Patterns in Tobacco, E-Cigarette, and Cannabis Advertising Exposure Among California Adolescents and Associations With Future Use Expectations.

BACKGROUND: Exposure to tobacco, e-cigarette, or cannabis marketing is associated with adolescent use. Few studies have examined advertising exposure prevalence and patterns across these products concurrently. METHODS: This study assessed past 30-day recalled exposure to promotional messages about tobacco, e-cigarettes ("vapes" on the survey), and cannabis ("marijuana") from various sources among California adolescents (ages 12-17) in the 2022 Teens, Nicotine, and Tobacco Online Survey (N = 2530). Principal components analysis (PCA) was conducted to examine the underlying structure and patterns in advertising exposure sources. Multivariable logistic regression was used to evaluate associations between any advertising exposure and future use expectations (a susceptibility measure) in one year and at age 25 among current never-users. RESULTS: Overall, 65.9% of participants recently noticed at least one tobacco (52.5%), vape (51.5%), or marijuana (45.6%) advertisement. Gas stations or convenience stores were the most common source for tobacco or vape ads; billboards were for marijuana ads. In PCA, advertising exposure patterns correlated with advertising source, not the type of product. Exposures from tobacco-specific sources and nearer point of sale were associated with current use, older age, LGBTQ + identity, and sensation seeking. Among never-users, advertising exposure was associated with one-year and age-25 use expectations for cigarettes (one-year expectations adjusted odds ratio: 1.7; 95% CI: 1.1, 2.5), vapes (2.3; 1.5, 3.5), and marijuana (2.1; 1.5, 3.0). CONCLUSION: California adolescents' exposure to tobacco, e-cigarette, and cannabis marketing is common, follows similar patterns, and is associated with use susceptibility. Comprehensive restrictions on marketing accessible to adolescents could help prevent youth use.

Adolescents' Experiences and Perceptions of E-Cigarettes and Nicotine Addiction.

BACKGROUND:  E-cigarettes are the most-used tobacco product among US adolescents and are associated with nicotine addiction. This qualitative investigation aimed to understand adolescents' experiences and perceptions with nicotine addiction, and related influences of addiction, to inform product regulation, health communication, and cessation resource development. METHODS:  Between May 2020 and December 2021, in-depth, semi-structured individual interviews were conducted with 47 California (United States) adolescents ages 13-17 who reported recent tobacco use (primarily e-cigarette use). The topic of addiction both arose organically and followed specific interviewer questions. Researchers used thematic analysis techniques to identify unifying themes related to addiction. RESULTS:  Adolescents described e-cigarette addiction in ways that reflected a loss of control over their routines and activities and as physical symptoms, including reward and withdrawal. While some viewed addiction risk as a reason not to vape, others perceived it possible to use e-cigarettes and avoid or manage addiction. Specific characteristics of e-cigarette devices, particularly disposable nicotine-salt products, including flavors, "cool" designs, concealable size and odor, low price, and ease-of-use, were seen as enhancing addiction risk. Quit attempts were difficult and usually unsupported by adults or formal cessation aids. CONCLUSIONS:  For many adolescents, addiction is a major component of their experience with e-cigarettes, often in ways that disrupt their routines and reduce their quality of life. Tobacco control or regulation could target e-cigarette product characteristics to decrease potential for addiction among adolescents. Needed are youth-targeted public communication about nicotine addiction and adolescent-tailored, evidence-based cessation support.

Tobacco industry strategies to influence the regulation of new and emerging tobacco and nicotine products in Latin America and the Caribbean.

Objective: To document tobacco industry strategies to influence regulation of new and emerging tobacco and nicotine products (NETNPs) in Latin America and the Caribbean. Methods: We analyzed industry websites, advocacy reports, news media and government documents related to NETNPs, focusing on electronic cigarettes and heated tobacco products. We also conducted a survey of leading health advocates. We applied the policy dystopia model to analyze industry action and argument-based strategies on NETNP regulations. Results: Industry actors engaged in four instrumental strategies to influence NETNP regulation - coalition management, information management, direct involvement in and access to the policy process, and litigation. Their actions included: lobbying key policy-makers, academics and vaping associations; providing grants to media groups to disseminate favorable NETNP information; participating in public consultations; presenting at public hearings; inserting industry-inspired language into draft NETNP legislation; and filing lawsuits to challenge NETNP bans. The industry disseminated its so-called harm reduction argument through large/influential countries (e.g., Argentina, Brazil, and Mexico). Industry discursive strategies claimed NETNPs were less harmful, provided safer alternatives, and should be regulated as so-called harm reduction products or have fewer restrictions on their sale and use than those currently in place. Conclusion: Our analysis provides a better understanding of industry strategies to undermine tobacco and nicotine control. To help counter industry efforts, health advocates should proactively strengthen government capacities and alert policy-makers to industry attempts to create new regulatory categories (so-called reduced-risk products), provide misleading information of government authorizations of NETNPs, and co-opt so-called harm-reduction messages that serve the industry's agenda.