Purpose

The aim of the article was to examine flavors of alternative tobacco products most commonly used by young adults (YAs).

Methods

California YA (N = 365; mean age = 20.0 years) were surveyed in 2018 about the first and usual flavors of alternative tobacco products used. Flavor categories were fruit, candy, menthol, mint, coffee, spice, alcohol, wintergreen, and tobacco.

Results

Fruit and mint were the most common flavors used (pod-based e-cigarettes: 35.4% and 29.3%; other e-cigarettes: 52.7% and 23.1%; hookah: 45.4% and 18.5%; cigars/cigarillos: 22.4% and 6.9%, respectively). For other e-cigarettes and hookah, candy was also popular (20.5% and 14.8%, respectively). For pod-based and other e-cigarettes, menthol was widely used (13.4% and 17.0%, respectively). Approximately half of the ever-flavor users reported they "usually" used the same flavors across products (menthol users: 52.2%; fruit users: 51.7%; mint users: 44.0%; and candy users: 43.8%).

Conclusions

YA are clearly using flavors, specifically fruit, mint, candy, and menthol, in their tobacco products.

Purpose

The aim of the article was to examine flavors of alternative tobacco products most commonly used by young adults (YAs).

Methods

California YA (N = 365; mean age = 20.0 years) were surveyed in 2018 about the first and usual flavors of alternative tobacco products used. Flavor categories were fruit, candy, menthol, mint, coffee, spice, alcohol, wintergreen, and tobacco.

Results

Fruit and mint were the most common flavors used (pod-based e-cigarettes: 35.4% and 29.3%; other e-cigarettes: 52.7% and 23.1%; hookah: 45.4% and 18.5%; cigars/cigarillos: 22.4% and 6.9%, respectively). For other e-cigarettes and hookah, candy was also popular (20.5% and 14.8%, respectively). For pod-based and other e-cigarettes, menthol was widely used (13.4% and 17.0%, respectively). Approximately half of the ever-flavor users reported they "usually" used the same flavors across products (menthol users: 52.2%; fruit users: 51.7%; mint users: 44.0%; and candy users: 43.8%).

Conclusions

YA are clearly using flavors, specifically fruit, mint, candy, and menthol, in their tobacco products.

Purpose

The purpose of the study was to determine from whom and where adolescents obtained tobacco, including cigarettes, e-cigarettes, and hookah.

Methods

California adolescents (N = 772; 63.19% female; mean age = 16.13 years, SD = 1.61; 26.44% white, 22.12% Asian/Pacific Islander, 36.65% Hispanic, and 14.79% other) were surveyed about their access to different tobacco products.

Results

Adolescents were significantly more likely to obtain tobacco from friends (54.9%) than family members or direct purchasing (p < .001). Smoke shops were the most common purchase location across products (44.3%), with adolescents significantly more likely to purchase hookah and e-cigarettes from smoke shops than gas stations, liquor stores, or drug stores (p < .02).

Conclusions

The effective characterization of tobacco access patterns is critical to the development of comprehensive tobacco control. By demonstrating peers and smoke shops as the primary social and retail outlets, this study identifies targets for the optimization of regulation and messaging aimed at reducing adolescents' access to tobacco.

Objective

Xerostomia (subjective experience of dry mouth), while less common in younger populations, can contribute to caries and oral discomfort. Use of e-cigarettes and cannabis among adolescents is increasing and may be a xerostomia risk factor. This study evaluates xerostomia prevalence in an adolescent population, overall and by e-cigarette, cannabis and combustible tobacco use.

Methods

Cross-sectional analyses of 12-month follow-up data (N=976; collected 2020-2021) from a cohort of adolescents recruited from public high schools in Northern California (USA) compared self-reported past 30-day e-cigarette, cannabis and other tobacco use and dry mouth (overall dry mouth experience; shortened xerostomia inventory, SXI). Dry mouth experience (never, occasionally, frequently/always) was modelled using ordered logistic regression with school-level clustering and adjustment for gender, race/ethnicity, alcohol use, asthma, physical activity and mutually for e-cigarette, cannabis and tobacco use.

Results

Past 30-day use prevalence was 12% for e-cigarettes, 16% for cannabis and 3% for combustible tobacco. Occasional dry mouth experience (54%) was more common than frequent/always experience (5%). Frequent/always dry mouth was more prevalent among frequent (>5 days/month) e-cigarette (14%) and cannabis (19%) users and combustible tobacco users (19%) than non-users of those respective products (all comparisons p < 0.001). In covariable-adjusted models, frequent e-cigarette use was no longer significantly associated with dry mouth experience (OR: 1.40; 95% CI: 0.69, 2.84), while frequent cannabis use (OR: 3.17; 95% CI: 1.47, 6.82) and combustible tobacco use (OR: 1.92; 95% CI: 1.38, 2.68) were associated with greater odds of reporting more frequent dry mouth. Findings were qualitatively similar using the SXI.

Conclusions

In this study, xerostomia was not independently associated with e-cigarette use but was one potential health concern of adolescent cannabis and combustible tobacco use.

Objective

This study assesses perceptions of overall harm, short-term health and social risks, long-term health risks, and benefits associated with various tobacco products including conventional cigarettes, e-cigarettes, cigars, chew, and hookah. This study also assesses whether and how perceptions differ by age, gender, race/ethnicity, and previous experience with tobacco.

Methods

A total of 722 high school students completed an online survey, answering questions about their use and perceptions of a variety of tobacco products. Differences in perceptions across products were assessed using a generalized estimation equation with an exchangeable correlation structure.

Results

Adolescents rated the various tobacco products as conferring significantly different levels of risks and benefits. Generally, adolescents rated cigarettes as most risky, followed by cigars and chew, with hookah and e-cigarettes rated as least risky. Adolescents rated hookah followed by cigarettes and e-cigarettes as most likely to make them look cool or fit in and cigars and chew as least likely to confer these benefits. There were interaction effects by age and use, with older adolescents and those with tobacco experience holding lower perceptions of risk. There were no significant interaction effects by race/ethnicity or gender.

Conclusion

Given the significant differences in adolescents' perceptions of risks and benefits of using different tobacco products and research showing the predictive relationship between perceptions and behavior, there is a need for comprehensive messaging that discusses risks of all tobacco products, particularly hookah and e-cigarettes. There is also a need to address perceived benefits of tobacco products, especially hookah and e-cigarettes.

Objectives

The purpose of this study was to assess the applicability of a simple mathematical formula for prediction of individual child linear growth. The formula describes a square root dependence of height on age with only two constants, k and C.

Methods

Retrospective serial height measurements of 137 healthy children (61 female), who attended clinic in the Pediatrics Department at the University of California, San Francisco were used. For each child, two of the initial measurements and their corresponding measurement times were used to determine the values of k and C. By substituting the determined values of k and C into the formula, the formula was then used to predict the trajectory of the child's growth.

Results

The 137 children were comprised of 20% Hispanic, 23% African-American, 27% Caucasian and 30% Asian. The formula predicted growth trajectories of 136 out of the 137 children with minimal discrepancies between the measured data and the corresponding predicted data. The mean of the discrepancies was 0.8 cm.

Conclusions

Our proposed formula is very easy to use and predicts individual child growth with high precision irrespective of gender or ethnicity. The formula will be a valuable tool for studying human growth and possibly growths of other animals.

This study examined the effect of exposure to "cigalike" (products resembling cigarettes) e-cigarette advertisements on adolescents' perceptions of cigarettes. A nationally representative sample of 802 adolescents (13-17 years old) was randomly assigned to watch three e-cigarette or three control advertisements. Never-smokers who saw the e-cigarette advertisements (n = 352) reported significantly lower perceived risks of smoking than those in the control condition (n = 320). Ever-smokers (n = 130) did not show significant differences across the conditions. In subgroup analyses, current smokers (reported smoking in the past 30 days, n = 31) in the e-cigarette condition reported significantly lower perceived benefits of smoking than those in the control condition. E-cigarette advertisements can affect adolescents' perceptions of cigarettes. Many advertisements, especially the ones promoting "cigalikes," depict e-cigarettes as being similar to cigarettes (e.g., look, flavor) but also as a solution for cigarettes' shortcomings (e.g., bad smell). While the advertisements include messages about problems posed by cigarettes, proposing e-cigarettes as a solution may decrease the perceived risks of smoking among never-smokers. It may also not be clear to adolescents whether advertisements are for cigarettes or e-cigarettes. Regulating e-cigarette advertisements to minimize adolescents' exposure may prevent potential harmful effects on never-smokers' perception of smoking.

Cannabis vaping may increase susceptibility to COVID-19 infection and related outcomes; however, little is known about the impact of the pandemic on cannabis vaping among US young populations. This study examined self-reported changes in cannabis vaping since the pandemic and factors associated with changes. A national, cross-sectional survey was conducted among 4,351 US adolescents and young adults (13-24 years old) in May 2020. Of those, 1,553 participants who reported ever vaping cannabis were included in the analytic sample. Binary outcome was self-reported increase in cannabis vaping (more hours/times of vaping in a day) vs. no change/quitting/reducing/switching. Weighted logistic regression examined associations between independent variables (i.e., risk perceptions of vaping, cannabis dependence, and stress/anxiety) and the outcome, controlling for sociodemographic factors. Overall, 6.8% reported increasing cannabis vaping since the pandemic, 37.0% quitting or reducing vaping in general, and 42.3% no change. Participants were more likely to report increased cannabis vaping if they perceived "Vaping is safer than smoking cigarettes" (Adjusted Odds Ratio [AOR] = 3.66; 95%CI = 1.43-9.38), reported more dependence on cannabis vaping (AOR = 1.59; 95%CI = 1.11-2.27), and were female (AOR = 2.80; 95%CI = 1.23-6.36). Those perceiving "Vaping cannabis can cause lung injuries" were less likely to increase cannabis vaping (AOR = 0.37; 95%CI = 0.18-0.76). Findings indicate that adolescent and young adult ever-cannabis vapers were more likely to report decreasing vaping generally than increasing cannabis vaping and most did not change use during the early pandemic. Educational campaigns should address potential health risks of cannabis vaping and focus on lung health to reduce use among young people during and following the pandemic.