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New oral nicotine products (ONPs; nicotine pouches, gums, lozenges, and gummies), which are regulated as nonmedicinal tobacco products in the U.S., have flavors and other characteristics that previously attracted young adults to e-cigarettes. Whether young adults’ interest in ONPs differs by e-cigarette use status and quit-vaping motivation is unknown but important for understanding the possible health impact of ONPs. It is particularly important to study if nonmedicinal ONPs attract e-cigarette users interested in quitting vaping, given that nicotine replacement (NRT) therapy uptake in young adults is low. In this study, ONP non-users (ages: 20–24) from California viewed digital images of 5 flavored ONPs (4 nonmedicinal and one NRT gum product) and reported intention to use each ONP (0–100 score). Main and interactive effects of Group (past-6-month e-cigarette non-users [n = 1,1388], e-cigarette users unmotivated to quit vaping [n = 168], and e-cigarette users motivated to quit vaping [n = 99]) and ONP type (nonmedicinal gum, nonmedicinal lozenge, gummy, pouch, and NRT gum) on use intention were tested. For each nonmedicinal ONP, use intention was higher in both e-cigarette user groups than non-users (ds = 0.47–0.59; Ps

Abstract Background While rates of e-cigarette use (‘vaping’) continue to potentiate concern, there is limited data on common symptoms of e-cigarette dependence among young adults who vape. This study sought to critically explore how young adults experience, manifest, and conceptualize vaping dependence symptoms in their everyday lives. Methods Between June 2018 and 2019, in-depth qualitative interviews were conducted with 62 young adults who use e-cigarettes (aged 18–25) and live in Southern California. We explored participants’ product preferences, daily e-cigarette use patterns, vaping history, withdrawal experiences, and quit attempts or periods of cessation. We used a thematic analysis approach to interpret the transcripts. Results Young adults discussed nine dimensions of vaping dependence that were organized into two categories: 1) general nicotine dependence symptoms, and 2) unique dependence symptoms related to vaping. Nicotine dependence symptoms included cravings and urgency to use, increased use to achieve desired effects, and unsuccessful quit attempts and withdrawal. Symptoms unique to vaping dependence included greater nicotine consumption due to accessibility and lack of restrictions, habitual vaping, inability to track vaping frequency, immediate gratification and comfort, social acceptability and norms, and awareness of vaping dependency. Conclusions In addition to nicotine dependence symptoms that have been characterized for other tobacco products, young adult e-cigarette users described unique symptoms of vaping dependence that necessitate the need for more refined measures. All dimensions of vaping dependence should be considered in discussions of policies as well as treatment and education efforts intended to protect young people from e-cigarette dependence.

Young adults (YA) who report viewing pro-tobacco and cannabis marketing are at increased risk for using tobacco and cannabis. However, there is a growing diversity of tobacco and cannabis products on the market, as well as methods for marketing them. Prevalence of, and sociodemographic differences in, YA’s recall of various types of tobacco and cannabis marketing is not well-characterized. Data were from a cohort of YA (mean age: 19.8) from Southern California in 2019. Respondents were asked whether they recalled having seen two types of marketing (online advertisements and portrayals of product use in TV/movies) for 5 tobacco and 3 cannabis products among never-users of tobacco (N = 954) and cannabis (N = 1,046), respectively. Sociodemographic differences in marketing recall were subsequently assessed. Among tobacco-naïve respondents, 31.3% and 49.3% recalled seeing online advertisements and tobacco use in TV/movies, respectively. Among cannabis-naïve respondents, 18.7% and 31.0% recalled seeing online advertisements and cannabis use in TV/movies, respectively. Overall, respondents recalled seeing tobacco and cannabis products on TV/movies at higher rates than seeing online advertisements, with the exception of electronic cigarettes, for which online advertisements were seen at higher rates. Women (vs. men) had higher odds of seeing tobacco (aOR = 1.9) and cannabis use in TV/movies (aOR = 1.4) and cannabis marketing online (aOR = 1.4). LGB (vs. straight) respondents had higher odds of seeing cannabis marketing online (aOR = 1.7). Efforts to regulate exposure to tobacco and cannabis marketing among young women and LGB people merit further consideration.

Purpose: Sexual minority young adults report greater cigarette and cannabis use. Emerging evidence suggests this trend may extend to e-cigarettes. The current study evaluated the relationship between sexual identity and prevalence of e-cigarette, cigarette, and cannabis use and whether such associations differ by gender. Methods: Cross-sectional, regionally representative data of young adults (M[SD]age = 20.02 [0.60] years; nheterosexual = 1314; nbisexual = 77; nlesbian/gay = 28) from Wave III (2016) of the Southern California Children’s Health Study were analyzed in 2019. Logistic regression analyses were conducted with sexual identity as the predictor and product use (never, prior, infrequent past 30-day [1-2 days], frequent past 30-day [3-5+ days]) as the outcome in separate models by substance (e-cigarettes, cigarettes, cannabis). Results: Bisexual individuals were the highest-risk sub-group for nearly all outcomes, with over five times the odds of reporting frequent past 30-day use for e-cigarettes (Odds Ratio [OR]: 6.68; 95% Confidence Interval [CI]: 2.80, 15.9), cigarettes (OR: 5.42; 95% CI: 2.37, 12.4), and cannabis (OR: 8.43; 95% CI: 4.40, 16.1) compared to heterosexual individuals. Although the sample size for lesbian/gay participants was small, bisexual (vs. lesbian/gay) participants also had greater odds of reporting prior use of nicotine products and frequent past 30-day cannabis use. A significant sexual identity × gender interaction emerged for lifetime cigarette use, wherein bisexual (vs. heterosexual) identity was only associated with greater odds of use for females (p

Objectives. To review the implementation of the WHO Framework Convention onTobacco Control in theAmericas, describe two national case studies and analyze the evidence on electronic cigarettes from a public health perspective. Materials and methods. Revision of the tobacco control legislation and the scientific evidence regarding electronic cigarettes. Results. Implementation of tobacco control policies is not homogeneous, with important advances in smoke-free environments, pictorial health warnings, and epidemiological surveillance, but challenges that remain for the implementation of a total ban of tobacco advertising, increases in tobacco taxes, and tobacco cessation programs. Tobacco industry interference is one of the main obstacles for advancing and novel products create uncertainty about their regulation. Conclusion. There is a need for political will for a comprehensive implementation of the Convention, with evidence-based decisions to confront challenges and to defend the achievements from tobacco industry interference.

A recent meta-analysis suggested an association between exposure to paternal smoking during pregnancy and childhood brain tumor risk, but no studies have evaluated whether this association differs by polymorphisms in genes that metabolize tobacco-smoke chemicals.We assessed 9 functional polymorphisms in 6 genes that affect the metabolism of polycyclic aromatic hydrocarbons (PAH) to evaluate potential interactions with parental smoking during pregnancy in a population-based case-control study of childhood brain tumors. Cases (N = 202) were ≤10 years old, diagnosed from 1984-1991 and identified in three Surveillance, Epidemiology, and End Results (SEER) registries in the western U.S. Controls in the same regions (N = 286) were frequency matched by age, sex, and study center. DNA for genotyping was obtained from archived newborn dried blood spots.We found positive interaction odds ratios (ORs) for both maternal and paternal smoking during pregnancy, EPHX1 H139R, and childhood brain tumors (P(interaction) = 0.02; 0.10), such that children with the high-risk (greater PAH activation) genotype were at a higher risk of brain tumors relative to children with the low-risk genotype when exposed to tobacco smoke during pregnancy. A dose-response pattern for paternal smoking was observed among children with the EPHX1 H139R high-risk genotype only (OR(no exposure) = 1.0; OR(≤3 hours/day) = 1.32, 95% CI: 0.52-3.34; OR(>3 hours/day )= 3.18, 95% CI: 0.92-11.0; P(trend )= 0.07).Parental smoking during pregnancy may be a risk factor for childhood brain tumors among genetically susceptible children who more rapidly activate PAH in tobacco smoke.