IMPORTANCE Understanding emerging patterns of smoking disparities among disadvantaged populations can guide tobacco control policy. OBJECTIVE To estimate disparities in smoking prevalence associated with the number of socioeconomic and health-related disadvantages faced by a population among US adults from 2008 to 2017. DESIGN, SETTING, AND PARTICIPANTS Nationally representative cross-sectional annual household-based probability sample of US noninstitutionalized residents. Polytomous regression estimated associations of disadvantage variables, survey year, and their interaction with the following 3 pairwise contrasts: current vs never smoking (estimate of overall disparities), current vs former smoking (unique contribution of disparities in smoking cessation), and former vs never smoking (unique contribution of disparities in smoking initiation). The setting was in-home face-to-face interviews. Participants were respondents in 2008 to 2017 survey years who were aged 25 years or older (N = 279 559). EXPOSURES Self-reported past-year unemployment, income below the federal poverty line, absence of high school diploma, disability/limitation interfering with daily functions, serious psychological distress on the Kessler 6-item screen, and at least 60 past-year heavy drinking days, each coded yes or no. These indicators were summed in a cumulative disadvantage index (0, 1, 2, 3, 4, or 5 or 6). MAIN OUTCOMES AND MEASURES Self-reported current, former (ever smoked ≥ 100 cigarettes, had since quit, and not currently smoking), and never (<100 cigarettes) smoking. RESULTS Among 278 048 respondents (mean [SD] age, 51.9 [16.8] years; 55.7% female) with data on smoking history (99.5% of the sample), the mean current smoking prevalence across 2008 to 2017 compared with populations without disadvantages was successively higher among populations with 1 disadvantage (21.4% vs 13.8%; current vs never smoking adjusted odds ratio [OR], 2.34; 95% CI, 2.27–2.43), 2 disadvantages (26.6% vs 13.8%; OR, 3.55; 95% CI,3.39–3.72), 3 disadvantages (35.1% vs 13.8%; OR, 5.35; 95% CI, 5.05–5.66), 4 disadvantages(45.7% vs 13.8%; OR, 8.59; 95% CI, 7.91–9.34), or 5 or 6 disadvantages (58.2% vs 13.8%; OR,14.70; 95% CI, 12.30–17.50). In current vs former and former vs never smoking status contrasts, ORs were lower but also showed successively greater associations with increasing cumulative disadvantage. Current (vs never) smoking odds significantly declined each year among populations with 0 (OR, 0.95; 95% CI, 0.94–0.96), 1 (OR, 0.96; 95% CI, 0.95–0.97), or 2 (OR, 0.98; 95% CI, 0.97–0.99) disadvantages but did not change across 2008 to 2017 among those with 3 or more disadvantages. CONCLUSIONS AND RELEVANCE Results of this study demonstrate that US disparities in smoking prevalence from 2008 to 2017 were successively larger with each additional disadvantage faced, were expressed in higher smoking initiation odds and lower smoking cessation odds, and widened over time.

The vape shop industry is a rapidly growing market sector with a constantly changing product landscape. The rapid evolution of nicotine delivery systems, most notably the emergence of salt nicotine e-juice and pod mod devices, have resulted in a sudden shift in the product market, suggesting new implications for the health professions in addressing electronic cigarette use.

Objectives: Vape shops have proliferated in the United States (US) in recent years. As of May 2016, the US Food and Drug Administration (FDA) asserted its authority to regulate electronic nicotine delivery systems. It is critical to understand how these polices have affected the vape shop industry, as the rise and fall of vape shop proliferation has the potential for influencing public health. Methods: In this longitudinal study, we examined factors associated with vape shop (N = 77) closure over a 2-1/2-year period in southern California. We assessed predictors of vape shops going out of business using a multivariate logistic regression model. Results: Among 77 vape shops assessed at baseline, 44.2% closed over a 2-1/2-year period. The absence of a "bar type" physical environment (OR = 2.64, 95% CI = 1.12-6.20), poorer shop accessibility (OR = 7.11, 95% CI = 1.17-43.24), fewer reports of qualified personnel (OR = 2.28, 95% CI = 1.12-4.64), less average time spent in shop by customers (OR = 4.8, 95% CI = 1.18-19.60), a narrower e-liquid flavor selection (OR = 6.55, 95% CI = 1.56-27.49), and less vape device diversity (OR = 2.36, 95% C = 1.13-4.91) predicted vape shop closure. Conclusions: The rise and subsequent decline in vape shops could potentially affect public health. However, there needs to be more research on their association with public health..

IntroductionE-cigarette users typically initiate vaping with flavoured e-liquids. People who vape flavours tend to underestimate the harm of vaping. We examined the inter-relationship between flavour preference, vaping for cessation purposes, e-cigarette dependence, e-cigarette harm perception and purchase/use intention, given a hypothetical flavour ban. We hypothesised that non-tobacco flavour preference and vaping for cessation would be negatively associated with harm perception of e-cigarettes and intention to continue vaping if a flavour ban occurred and that these effects would be mediated by e-cigarette dependence.MethodsFrom July 2019 to March 2020, we conducted intercept interviews with 276 customers at 44 vape shops in California. The predictor variables were flavour preference and vaping for cessation. The outcome variables were harm perception of e-cigarettes and intention to purchase/use, given a hypothetical flavour ban. Multilevel structural equation modelling tested whether e-cigarette dependence mediates the effects of flavour preference on hypothetical continued vaping and purchase.ResultsThose who preferred flavours showed significantly lower intention to purchase e-liquids (β=−0.28, p<0.001) and to continue vaping (β=−0.17, p=0.001), given a hypothetical flavour ban. Those who vaped for smoking cessation indicated greater intention to purchase e-liquid (β=0.10, p=0.016) and to continue vaping (β=0.17, p=0.001), given a hypothetical flavour ban. E-cigarette dependence significantly mediated these effects (ps<0.04).DiscussionFlavour preference was negatively related to intention to continue to vape within a hypothetical flavour ban. Our results also highlight the importance of e-cigarette dependence and use of e-cigarettes as smoking cessation methods. Implications for future flavour bans are discussed.

Background The US Food and Drug Administration (FDA) recently restricted characterizing flavors in tobacco products. As a result, ice hybrid–flavored e-cigarettes, which combine a cooling flavor with fruit or other flavors (eg, banana ice), emerged on the market. Like menthol, ice-flavored e-cigarettes produce a cooling sensory experience. It is unclear if ice hybrid–flavored e-cigarettes should be considered characterizing flavors or menthol, limiting regulatory action. Monitoring the public’s conversations about ice-flavored e-cigarettes on Twitter may help inform the tobacco control community about these products and contribute to the US FDA policy targets in the future. Objective This study documented the themes pertaining to vaping and ice flavor–related conversations on Twitter. Our goal was to identify key conversation trends and ascertain users’ recent experiences with ice-flavored e-cigarette products. Methods Posts containing vaping-related (eg, “vape,” “ecig,” “e-juice,” or “e-cigarette”) and ice-related (ie, “Ice,” “Cool,” “Frost,” and “Arctic”) terms were collected from Twitter’s streaming application programming interface from January 1 to July 21, 2021. After removing retweets, a random sample of posts (N=2001) was selected, with 590 posts included in the content analysis. Themes were developed through an inductive approach. Theme co-occurrence was also examined. Results Many of the 590 posts were marked as (or consisted of) marketing material (n=306, 51.9%), contained positive personal testimonials (n=180, 30.5%), and mentioned disposable pods (n=117, 19.8%). Other themes had relatively low prevalence in the sample: neutral personal testimonials (n=45, 7.6%), cannabidiol products (n=41, 7%), negative personal testimonials (n=41, 7%), “official” flavor description (n=37, 6.3%), ice-flavored JUUL (n=19, 3.2%), information seeking (n=14, 2.4%), and comparison to combustible tobacco (n=10, 1.7%). The most common co-occurring themes in a single tweet were related to marketing and disposable pods (n=73, 12.4%). Conclusions Our findings offer insight into the public’s experience with and understanding of ice-flavored e-cigarette products. Ice-flavored e-cigarette products are actively marketed on Twitter, and the messages about them are positive. Public health education campaigns on the harms of flavored e-cigarettes may help to reduce positive social norms about ice-flavored products. Future studies should evaluate the relationship between exposure to personal testimonials of ice-flavored vaping products and curiosity, harm perceptions, and experimentation with these products among priority populations.