Flavored Tobacco Use Among U.S. Adults by Age Group: 2013-2014

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.

Assessing Vaping Views, Usage, and Vaping-Related Education Among Medical Students: A Pilot Study

Background

E-cigarette use, or vaping, is known to be associated with potentially life-threatening lung injury, with the Centers for Disease Control and Prevention reporting 2,807 hospitalizations and 68 deaths in the United States due to e-cigarette or vaping-associated lung injury. Vaping is also a risk factor for and is implicated in the spreading of COVID-19. Despite the consequences of vaping, the views and training of medical students regarding vaping is unclear. This study sought to investigate the knowledge and perception of vaping amongst future health care providers.

Methods

An anonymous, online survey was administered to 259 first through fourth year medical students at Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine via a secure website link in October 2019 and January 2020. The survey consisted of two sections. All participants answered section one, involving nine questions. This first section addressed sociodemographic characteristics, personal views on vaping, rating and impact of vaping medical education, and whether students had ever tried vaping. If students had ever vaped, they proceeded to section two of the survey including nine additional questions. Students that reported no past vaping use ended the survey and did not proceed to section two. Section two focused on evaluating vaping habits of users by questioning age of first usage, use frequency and nature, reasons for first trying and/or continuing to use, plans for quitting, personal impact of use, and current use. Data was analyzed with frequency and percentage distributions.

Results

Most respondents were of age 18-25 years (66.8%) and female (60.2%). Almost all students (96.5%) were aware of the negative health consequences of vaping. More than two thirds of students (68.7%) rated their vaping medical education as inadequate and the majority (76.1%) indicated their medical school curriculum did not impact their view on the matter. Most students (71.0%) reported a more negative stance on vaping due to recent news and media. Of the respondents, over two thirds (37.5%) vaped at least once and were labeled “vapers.” The most commonly stated reason for first trying vaping was recreational (60.8%). Half of vapers (50.5%) admitted to vaping in the past year and most vapers (90.6%) did not think their vaping impacted others. Current vaping use was reported in almost one-third of vapers (32.3%) despite knowing its dangers, and several (6.3%) did not consider vaping dangerous.

Conclusion

The findings from this pilot study conducted at a single medical school indicate possible deficiencies in vaping education, at least as perceived by the respondents and demonstrated by their vaping-related actions. It is unknown if the stated vaping views and practices of these medical students would be positively impacted by better vaping education or if these practices are generalizable to other students. However, the data suggests there is a need to consider more extensive analyses of medical school curriculums with respect to vaping education and training of students in these and related areas. Recommendations to enhance medical school curriculums include vaping-focused respiratory and gastrointestinal lectures, problem-based case studies on vaping, standardized patient encounters, and a community education program taught by medical students.

Cigarette smoking behaviors and the importance of ethnicity and genetic ancestry

Cigarette smoking contributes to numerous diseases and is one of the leading causes of death in the United States. Smoking behaviors vary widely across race/ethnicity, but it is not clear why. Here, we examine the contribution of genetic ancestry to variation in two smoking-related traits in 43,485 individuals from four race/ethnicity groups (non-Hispanic white, Hispanic/Latino, East Asian, and African American) from a single U.S. healthcare plan. Smoking prevalence was the lowest among East Asians (22.7%) and the highest among non-Hispanic whites (38.5%). We observed significant associations between genetic ancestry and smoking-related traits. Within East Asians, we observed higher smoking prevalence with greater European (versus Asian) ancestry (P = 9.95 × 10^-12). Within Hispanic/Latinos, higher cigarettes per day (CPD) was associated with greater European ancestry (P = 3.34 × 10^-25). Within non-Hispanic whites, the lowest number of CPD was observed for individuals of southeastern European ancestry (P = 9.06 × 10^-5). These associations remained after considering known smoking-associated loci, education, socioeconomic factors, and marital status. Our findings support the role of genetic ancestry and socioeconomic factors in cigarette smoking behaviors in non-Hispanic whites, Hispanic/Latinos, and East Asians.

Young adult e-cigarette use: A latent class analysis of device and flavor use, 2018-2019

OBJECTIVE

The myriad of e-cigarette devices and flavors used by young adults (YAs) complicates identification of the particular e-cigarette products that are associated with more frequent tobacco use and merit consideration for regulation. The current study used latent class analysis to identify distinct patterns of e-cigarette device and flavor use and evaluate their association with vaping and smoking frequency.

METHODS

Cross-sectional survey data (2018-2019) from a Southern California cohort were analyzed. YAs reporting past 30-day nicotine vaping (N = 550; M age = 19.2 years) self-reported e-cigarette device type/brand and flavor. Six device (e-cig/vape pen, mech mod, box mod, JUUL, non-JUUL pod, disposable) and three flavor (tobacco, mint/menthol, sweet/fruit) indicators were included in a latent class analysis. Past 30-day nicotine vaping and cigarette smoking frequency were assessed as correlates of device and flavor class membership.

RESULTS

Three classes were identified: Any Pod-Mint/Menthol or Sweet/Fruit Flavor Users (prevalance:47%); Non-JUUL-Sweet/Fruit Flavor Users (28%); and Poly-Device-Poly-Flavor Users (25%). Greater frequency of vaping and smoking were associated with higher odds of belonging to the Poly-Device-Poly-Flavor Users class vs. the Any Pod-Mint/Menthol or Sweet/Fruit Flavor Users (vaping: aOR[95%CI] = 1.36[1.16, 1.59], p < .001; smoking: aOR[95%CI] = 1.25[1.02, 1.54], p = .03) and Non-JUUL-Sweet/Fruit Flavor Users (vaping: aOR[95%CI] = 1.30[1.10, 1.53], p < .01; smoking: aOR[95%CI] = 1.42[1.07, 1.88], p = .02) classes.

CONCLUSIONS

Although YAs that predominately used pod devices alongside non-tobacco flavors were most common, YAs characterized by a proclivity toward using many different devices and flavors were appreciably prevalent and smoked and vaped more frequently. Regulations targeting a wide spectrum of vaping products may be optimal in protecting YA health.

Tactics for Drawing Youth to Vaping: Content Analysis of Electronic Cigarette Advertisements

Background

The use of electronic cigarettes (e-cigarettes), also known as vaping, has risen exponentially among North American youth in recent years and has become a critical public health concern. The marketing strategies used by e-cigarette companies have been associated with the uptick in use among youth, with video advertisements on television and other electronic platforms being the most pervasive strategy. It is unknown how these advertisements may be tapping into youth needs and preferences.

Objective

The aim of this 2-phase study was to examine the marketing strategies that underpin e-cigarette advertisements, specifically in the context of television.

Methods

In phase 1, a scoping review was conducted to identify various influences on e-cigarette uptake among youth. Results of this scoping review informed the development of a coding framework. In phase 2, this framework was used to analyze the content of e-cigarette advertisements as seen on 2 popular television channels (Discovery and AMC).

Results

In phase 1, a total of 20 articles met the inclusion criteria. The resultant framework consisted of 16 key influences on e-cigarette uptake among youth, which were categorized under 4 headings: personal, relational, environmental, and product-related. In phase 2, 38 e-cigarette advertisements were collected from iSpot.tv and represented 11 popular e-cigarette brands. All of the advertisements tapped into the cited influences of youth e-cigarette uptake, with the most commonly cited influences (product and relational) tapping into the most, at 97% (37/38) and 53% (20/38), respectively.

Conclusions

The findings highlight the multidimensional influences on youth uptake of e-cigarettes, which has important implications for developing effective antivaping messages, and assist public health professionals in providing more comprehensive prevention and cessation support as it relates to e-cigarette use. The findings also bring forward tangible strategies employed by e-cigarette companies to recruit youth into vaping. Understanding this is vital to the development of cohesive strategies that combat these provaping messages.

Age differences in electronic nicotine delivery systems (ENDS) usage motivations and behaviors, perceived health benefit, and intention to quit

INTRODUCTION

Data from comprehensive studies are sparse regarding age differences in issues related to electronic nicotine delivery systems (ENDS) usage. This study examined age differences in usage motivations and behaviors, perceived health benefit, and quit intentions in a large and diverse sample recruited online.

METHODS

The sample included 1,432 current ENDS users, ages 18-64, drawn from a national online survey conducted in 2016. Descriptive and multivariable analyses were used.

RESULTS

The sample included participants in the following age groups: 18-24 (17.5%), 25-34 (38.6%), 35-44 (23.3%), and 45-64 (20.7%). With multiple adjustments, the 18-24 age group was more likely to vape for reasons such as flavors or friends' use, and to use multiple flavors and products with varying nicotine content. For example, the odds (95% CI) of vaping initiation due to flavor attraction vs. other reasons in the 18-24 age group were 1.40 (1.02-1.92), 2.73 (1.85-3.99), and 2.12 (1.41-3.18) compared to the 25-34, 35-44, and 45-64 age groups, respectively. In contrast, compared to older age groups, the 18-24 age group was less likely to use ENDS as an alternative to cigarettes or as a quitting device; they also used ENDS less frequently and perceived less health benefit of ENDS use. The 18-24 age group, especially those who had only used ENDS, had the lowest odds of likely quitting use of tobacco/nicotine products compared to other groups (lower by 44-73%).

CONCLUSION

There were significant age differences in ENDS usage motivations and behaviors, perceived health benefit, and quit intentions.