The Association Between Personality Traits and Health-Related Quality of Life and the Mediating Role of Smoking: Nationwide Cross-Sectional Study.

Background: There are positive and negative correlations in different directions between smoking, personality traits, and health-related quality of life (HRQOL), where smoking may mask the pathway between personality traits and HRQOL. Understanding the masking pathway of smoking between personality traits and HRQOL can elucidate the mechanisms of smoking's psychosocial effects and provide new ideas for developing tobacco control strategies. Objective: The purpose of this study was to investigate the correlation between Big Five personality traits and HRQOL and whether smoking mediates the relationship between them. Methods: This was a cross-sectional study using data from 21,916 respondents from the 2022 Psychology and Behavior Investigation of Chinese Residents survey. Linear regression models were used to analyze the correlations between smoking, Big Five personality traits, and HRQOL while controlling for potential confounders. The mediating role of smoking on the association between Big Five Personality traits and HRQOL was analyzed using the Sobel-Goodman mediation test. Results: Extraversion (ß=.001; P=.04), agreeableness (ß=.003; P<.001), and neuroticism (ß=.003; P<.001) were positively correlated with HRQOL, whereas openness was negatively correlated with HRQOL (ß=-.001; P=.003). Smoking was associated with a decrease in HRQOL and mediated the positive effect of HRQOL on extraversion (z=-2.482; P=.004), agreeableness (z=-2.264; P=.02), and neuroticism (z=-3.230; P=.001). Subgroup analyses further showed that smoking mediated the effect of neuroticism on HRQOL in the population with chronic illnesses (z=-2.724; P=.006), and in the population without chronic illnesses, smoking contributed to the effect of HRQOL on extraversion (z=-2.299; P=.02), agreeableness (z=-2.382; P=.02), and neuroticism (z=-2.213; P=.03). Conclusions: This study provided evidence that there is a correlation between personality traits and HRQOL. It also found that smoking plays a role in mediating the connection between personality traits and HRQOL. The development of future tobacco control strategies should consider the unique traits of each individual's personality, highlighting the significance of extraversion, agreeableness, and neuroticism.

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.

Reduced nicotine in cigarettes in a marketplace with alternative nicotine systems: randomized clinical trial.

Background: Reducing cigarette addictiveness has the potential to avert millions of yearly tobacco-related deaths worldwide. Substantially reducing nicotine in cigarettes decreases cigarette consumption, but no large clinical trial has determined the effects of reduced-nicotine cigarettes when other nicotine-containing products are available. The aim of this study was to examine the effects of reduced-nicotine cigarettes in the context of the availability of alternative nicotine delivery systems. Methods: In a U.S. six-site, open-label, parallel-arm study, smokers were randomized for twelve weeks to an experimental marketplace containing cigarettes with either 0.4 mg or 15.8 mg nicotine per gram of tobacco; all had access to non-combusted alternative nicotine delivery systems (e.g., e-cigarettes; medicinal nicotine). Group differences in the primary outcomes (cigarettes per day, number of smoke-free days) were examined using linear and negative binomial regression, respectively (Trial Registration: NCT03272685). Findings: Among 438 randomized participants (mean [standard deviation (SD), range] age, 44.5 [11.9, 20-73] years, 225 [51.4%] women, 282 [64.4%] White and 339 [77.4%] trial completers), those in the 0.4 mg vs. 15.8 mg nicotine cigarette condition experienced significantly lower cigarettes per day at the end of intervention (mean [SD], 7.05 [7.88] vs. 12.95 [9.07], adjusted mean difference, -6.21 [95% CI, -7.66 to -4.75], P < 0.0001) and greater smoke-free days during intervention (mean [SD], 18.59 [27.97] vs. 5.06 [13.77], adjusted rate ratio, 4.25 [95% CI, 2.58-6.98], P < 0.0001). Interpretation: A reduced-nicotine cigarette standard in the context of access to other non-combusted nicotine products has the potential to benefit public health. Funding: U.S. NIH/FDA U54DA03165.

Patterns and Determinants of Exclusive Smokeless Tobacco (Snus) Use, Exclusive Smoking and Dual Use in General Population During 20 Years.

BACKGROUND: We investigate smokeless tobacco (snus) use and its correlates over 20 years in a country where selling snus is prohibited but a large import quota and illicit market exists. METHODS: Repeated cross-sectional population-based surveys during 2000 to 2020 in Finland, including N = 57 111 adults aged 20 to 64 years. The outcome measures were current tobacco use (exclusive snus use, dual use, exclusive smoking, no tobacco use) and snus use (daily, occasional, no snus use). Study years, gender, age, education, marital status, self-rated health, body mass index, and binge drinking were used as explanatory variables. RESULTS: Exclusive snus use and dual use increased 3.6% units and 2.6% units from 2000 to 2005 and from 2018 to 2020, respectively. Overall decrease of tobacco use was led by decreasing exclusive smoking from 30.1% to 18.2%. The shared risk factors for snus use and dual use were male gender, age group 20 to 34 years, and binge drinking. The increases in snus and dual use over time were also most prevalent among these groups. Among men, occasional smoking increased the likelihood of daily (relative risk ratio [RRR] 2.38, 95% confidence interval [CI] 1.42, 3.99) and occasional (RRR 3.11, 95% CI 1.93, 5.03) snus use. CONCLUSIONS: Snus use has increased among the general adult population in Finland during 2000 to 2020 yet remains less common than smoking. Snus use and dual use share some common risk factors. Snus use should be considered in cessation services, with support for quitting developed and targeted predominantly for men, younger adults, and persons drinking to intoxication.

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.

Real-World Treatment Adherence to Smoking Cessation Medications and Association with Treatment Outcome - 27 Centers, China, 2017-2022.

What is already known about this topic?: Medication non-adherence significantly impedes smoking cessation efforts. While effective smoking cessation medications are accessible in China, real-world adherence and its correlation with treatment outcomes remain largely unexplored. What is added by this report?: From December 2017 to January 2022, 1,120 participants were recruited from 27 centers in all seven geographical regions of China. Results revealed that only 38.2% of smokers adhered to the prescribed 12-week smoking cessation treatment and those with a higher education level were more likely to be adherent. In addition, smokers with good adherence were more likely to successfully quit smoking. What are the implications for public health practice?: The data obtained could enhance our understanding of smoking cessation practices in China. Improving adherence is a crucial strategy to enhance the effectiveness of smoking cessation treatments and management provided to smokers.

[Application of the cigarette purchase tasks in achieving China' s tobacco control goals].

OBJECTIVE: To assess cigarette demand among Chinese smokers through a cigarette purchase task (CPT) and to evaluate cigarette prices under different hypothetical scenarios in order to meet the goals of smoking prevalence reduction in China. METHODS: In the study, 447 participants completed a hypothetical CPT at baseline assessments of a trial, thus, cigarette demand curves were individually fitted for each participant using an exponentiated version of the exponential demand model. Typically, five demand indices were derived, intensity (consumption when free), breakpoint (first price at which consumption is suppressed to 0), maximum output (Omax), maximum price (Pmax, price at which Omax occurred), and elasticity (the ratio of the change in quantity demanded to the change in price). A one-way analysis of variance was used to explore the correlations between the cigarette purchase task indices and socio-demographic and smoking characteristics. The one-way decay model was employed to simulate the smoking cessation rates and determine optimal cigarette prices in a series of scenarios for achieving 20% smoking prevalence. RESULTS: The price elasticity drawn from CPT was 0.54, indicating that a 10% price increase could reduce smoking by 5.4% in the participated smokers. Smokers with higher income were less sensitive to cigarette prices (elasticity=-2.31, P=0.028). Cigarette purchase task indices varied significantly among the smokers with different prices of commonly used cigarettes, tobacco dependence, and smoking volume. The smokers who consumed cigarettes of higher prices reported higher breakpoint, Omax and Pmax, but lower intensity (P=0.001). The smokers who were moderately or highly nicotine dependent reported higher intensity, breakpoint, Omax and Pmax, and they had lower intensity (P=0.001). The smokers who had a higher volume of cigarettes reported higher intensity and Omax, and lower intensity (P < 0.001). To achieve the goal of reducing smoking prevalence to 20% in mainland China, we estimated the desired increase on smoking cessation rate and prices accordingly in a series of scenarios, considering the gender variance and reduced smoking initiation. In scenario (a), to achieve a smoking prevalence goal of 20%, it would be necessary for 24.81% of the current smokers to quit smoking when there were no new smokers. Our fitting model yielded a corresponding value of 59.64 yuan (95%CI 53.13-67.24). Given the assumption in scenario (b) that only males quitted smoking, the desired cessation rates would be 25.82%, with a higher corresponding price of 62.15 yuan (95%CI 55.40-70.06) to induce desired cessation rates. In the proposed scenario (c) where 40 percent of the reduction in smoking prevalence came from reduced smoking initiation, and females and males equally quitted smoking due to increased cigarette prices, the price of a pack of cigarettes would be at least 37.36 yuan (95%CI 32.32-42.69) (equals to $ 5.20) per pack to achieve the cessation rate of 14.89 percent. In scenario (d) where only males quitted smoking due to increased cigarette prices considering the reduced smoking initiation, the respective smoking cessation rates should be 15.49% with the desired prices of 38.60 yuan (95%CI 33.53-44.02). After adjusting for education levels and income levels in scenario (c), the price of cigarettes would be at least 37.37 yuan/pack (equals to $ 5.20) (95%CI 30.73-44.94) and 37.84 yuan/pack (equals to $ 5.26) (95%CI 31.94-44.53), respectively. CONCLUSION: Cigarette purchase task indices are significantly associated with income levels and prices of commonly used cigarettes, levels of tobacco dependence, and smoking volume, which is inspiring in studying price factors that influence smoking behavior. It is suggested that higher cigarette prices, surpassing the current actual market level, is imperative in mainland China. Stronger policy stra-tegies should be taken to increase tobacco taxes and retail cigarette prices to achieve the Healthy China 2030 goal of reducing smoking prevalence to 20%.

"The ban is there, but it is not there": perceptions of cigarette users and tobacco vendors regarding ban on the sale of loose cigarettes in India.

Introduction: Banning the sales of loose cigarettes is recommended by Article 16 of the World Health Organization - Framework Convention on Tobacco Control. This study aims to understand the perceptions of cigarette users and tobacco vendors regarding such a ban. Methods: Using a systematic recruitment and interview protocol, we interviewed cigarette users (n = 28) and tobacco vendors (n = 28) from two Indian cities where sales of loose cigarettes were banned (Mumbai) or not banned (Delhi). Separate semi-structured interview guides were used for users and vendors. Interview questions focused on reasons for purchasing loose cigarettes, preference for buying and selling loose vs. packs, thoughts on the necessity of banning loose cigarettes, and the perceived impact of the policy ban for vendors and cigarette users. We performed thematic analysis and used NVivo for organizing transcript coding. Results: The main reasons users cited for purchasing loose cigarettes were financial constraints, social restrictions (fear of getting caught), and limiting cigarette consumption. In Mumbai, awareness of the existing ban was poor among both users and vendors. Those who were aware did not think the policy had been implemented. Users thought that loose cigarettes promoted smoking initiation and prevented them from quitting. Both users and vendors reported that a ban on loose cigarettes would reduce cigarette consumption and promote quit attempts as it would not be possible for everyone to purchase packs because of financial and social reasons. Conclusion: Users in both cities reported easy access to and widespread availability of loose cigarettes. Low awareness of the ban in Mumbai suggested inadequate enforcement. A country-wide ban on the sale of loose cigarettes could be highly effective in preventing smoking initiation and promoting quitting.

Coverage of Indoor Smoking and Vaping Restrictions in the US, 1990-2021.

INTRODUCTION: Secondhand smoke exposure increases the risk of premature death and disease in children and non-smoking adults. As a result, many US states and local jurisdictions have enacted comprehensive indoor smoking restrictions (ISR). Indoor vaping restrictions (IVR) have also been adopted to protect against exposure to secondhand e-cigarette aerosol. This study aimed to quantify state and national US coverage of policies restricting indoor cigarette and e-cigarette use over time. METHODS: Data from the American Nonsmokers Rights' Foundation on US ISR from 1990 to 2021 and IVR from 2006 to 2021 were analyzed. Combining these data with 2015 US Census population estimates, the percentage of state and national residents covered by partial and comprehensive restrictions in bars, restaurants, and workplaces, were calculated (analysis in 2023-2024) over time. RESULTS: Between 1990-2021, national coverage of comprehensive ISR increased for bars (0% to 67.3%), restaurants (0% to 78.2%), and workplaces (0% to 77.5%). Partial ISR coverage decreased for bars (14.8% to 13.9%), restaurants (40.2% to 15.4%) and workplaces (40.2% to 22.5%). From 2006 to 2021, comprehensive IVR coverage increased for bars (0% to 43.5%), restaurants (0% to 51.5%), and workplaces (0% to 53.2%). Despite these increases in coverage, by the end of 2021, <50% of the population was protected by comprehensive ISR for bars, restaurants, and workplaces in 19, 12, and 14 states, respectively. CONCLUSIONS: The percentage of the US population protected by ISR and IVR has increased over time. However, gaps in coverage remain, which may contribute to disparities in tobacco-related disease and death.

Disposable e-cigarette use and associated factors in US middle and high school students, 2021-2022.

INTRODUCTION: Disposable e-cigarettes are the predominant type of vaping product used by adolescents and pose a significant public health concern. Identifying factors contributing to this growing trend is essential to curbing the vaping epidemic among youths. This study aims to investigate the growing prevalence and correlates of disposable e-cigarette use among US students. METHODS: Data from 48437 US middle and high school students from the 2021 and 2022 National Youth Tobacco Survey (NYTS) were analyzed using logistic and ordinal regression models to evaluate disposable e-cigarette use and frequency of use (low, medium, and high) with demographic and psychosocial factors. Weighted prevalence of current e-cigarette use with 95% CIs by device types in 2021 and 2022, were calculated. Odds ratios (ORs) of correlations of disposable e-cigarette use and frequency of use with demographic and psychosocial factors were analyzed. RESULTS: Disposable e-cigarette use increased from 3.9% (95% CI: 3.3-4.7) in 2021 to 5.1% (95% CI: 4.2-6.1) in 2022, and was associated with being female (OR=1.57; 95% CI: 1.29-1.91 vs male), high schoolers (OR=5.14; 95% CI: 3.96-6.67 vs middle schoolers), having low harm perceptions of e-cigarettes (OR=7.75; 95% CI: 5.58-10.75 vs lot of harm), and high exposure to marketing (OR=1.57; 95% CI: 1.05-2.35 vs low exposure). Identifying as LGBTQ (OR=1.41; 95% CI: 1.00-2.00 vs straight), having low academic performance (OR=2.16; 95% CI: 1.15-4.07, D vs A grades), and having psychological distress (OR=2.01; 95% CI: 1.64-2.47, severe vs none) were also linked to increased frequency of use. CONCLUSIONS: This study underscores increasing disposable e-cigarette use among US students, noting existing disparities. It identifies high-risk adolescent subgroups vulnerable to disposable e-cigarette use. These findings emphasize the urgency of targeted prevention and stricter regulations on disposable e-cigarettes to combat nicotine addiction among youths.

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.

Perceptions of Tobacco Price Policy among Students from Sapienza University of Rome: Can This Policy Mitigate Smoking Addiction and Its Health Impacts?

Tobacco use is one of the main risk factors for non-communicable diseases. Avoiding youth initiation and treating addiction are fundamental public health issues to ensure better health. Among tobacco control policies, increasing tobacco price is the single most effective intervention. It reduces tobacco consumption, especially among youths, while representing a government financing source. This study aimed to assess the agreement with the proposal of a one-euro increase in tobacco price earmarked to health issues among students at Sapienza University. Two convenience samples were surveyed, five years apart, on World No Tobacco Days. Smoking habits, agreement with the proposal and reasons for it were collected. Results from the 208 questionnaires (107 in 2014, 101 in 2019) showed 46.6% of agreement with the proposal (53.3% in 2014, 39.2% in 2019, p = 0.044). Main predictive factor for agreement was being a non-smoker (OR = 6.33 p < 0.001), main reason (64.8%) was it could trigger smokers to quit or reduce consumption. Several factors might have influenced this finding, including the introduction of novel tobacco products and their increased advertisement on social media. In 2024, European Union is planning to update the Tobacco Taxation Directive which could greatly contribute to the reduction of non-communicable diseases and premature deaths.

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.

Switching people who smoke to unfiltered cigarettes: Effects on smoking topography.

Introduction: Smoking topography (ST) describes smoking behavior and patterns. Removal of the cigarette filter and subsequent impact on ST has not been investigated. This is the first clinical trial comparing ST for filtered and unfiltered cigarettes in a naturalistic experiment. Methods: We conducted a crossover clinical trial following established people who smoke cigarettes (n = 32) for two weeks under filtered and unfiltered smoking experimental conditions. Participants (50 % female, mean age 38.3 yr.) smoked in each experimental condition followed by a 3-week post-washout period. ST (puff count, volume, duration, peak and average flow) was measured at six time-points. Statistical analysis included a linear repeated mixed-effects model of smoking experimental conditions by visit number and sex. Results: Average flow (ml/sec) was significantly less for filtered smoking (-6.92 lower (95 % CI: -13.44 to -0.39), p < 0.05), thus demonstrating more resistance on inhalation. No significant differences were found between filtered or unfiltered experimental conditions for other ST variables. However, average volume and average peak flow were somewhat higher in unfiltered smoking, and lower mean puff counts/cigarette were observed for unfiltered compared to filtered smoking. Conclusion: Lower average flow rates were associated with filtered cigarette smoking. No significant differences were found for other ST variables between smoking experimental conditions. ST measurements comparing cigarette smoking conditions may determine if product regulatory changes, such as removing the cigarette filter could impact smoking behavioral patterns among people who smoke. This proof-of-principle study measuring ST may be replicated in larger trials to determine potential behavioral changes in smoking unfiltered cigarettes.

Noticing Voluntary E-Cigarette Warning Labels and Associations With Harm Perceptions and Use Intentions: A Baseline Cross-Sectional Analysis of Wave 4 of the Population Assessment of Tobacco and Health Study Prior to the Food and Drug Administration Mandate.

PURPOSE: To examine the effect of e-cigarette warning labels (EWLs) prior to the August 2018 FDA-warning label mandate to establish a baseline for future research. DESIGN: Cross-sectional survey. SETTING: United States. PARTICIPANTS: A cohort of adult participants in the Population Assessment of Tobacco and Health (PATH) study (n = 30,004) at Wave 4 (Dec 2016-Jan 2018). MEASURES: Correlates (e.g., sociodemographics, substance use, social influence, cigarette warnings, and mental health) of noticing EWLs in the past 30-days (noticed vs did not notice), perceived harm of e-cigarettes/nicotine (from 1 = not at all harmful to 5 = extremely harmful), relative harm of e-cigarettes (from 1 = less harmful to 3 = more harmful than cigarettes), intention to quit (yes/no) and intention to try e-cigarettes (from 1 = definitely not to 4 = definitely yes). RESULTS: The prevalence of noticing EWLs was 22.1%. Those who currently use electronic nicotine products, established and experimentally, were more likely to notice EWLs relative to never users (aOR = 3.55; 95% CI: 2.96-4.25; P < .001 and aOR = 2.42; 95% CI: 1.88-3.10; P < .001, respectively). Those with past 30-day alcohol and cigarette use were less likely to notice EWLs (aOR = .27; 95% CI: .24-.31 and aOR = .91; 95% CI: .83-.99; respectively). Those who noticed cigarette warnings were more likely to notice EWLs (aOR = 12.00; 95% CI: 10.46-13.77; P < .001). Among those who noticed EWLs, there were higher odds of perceiving e-cigarettes to be equally or more harmful than cigarettes (aOR = 1.15; 95% CI: 1.02-1.30), but no association was found between noticing EWLs and perceived harm of e-cigarettes/nicotine or use intentions. CONCLUSION: Noticing voluntary EWLs was not associated with increased perceived harm of e-cigarettes and nicotine harm, or e-cigarette use intentions. Future research is warranted to examine the effect of the FDA mandated EWLs.

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.