How and Why California Young Adults Are Using Different Brands of Pod-Type Electronic Cigarettes in 2019: Implications for Researchers and Regulators

Longitudinal examination of ENDS characteristics, flavors, and nicotine content for cigarette cessation: Findings from PATH waves 5-6

BACKGROUND

A subpopulation of adults who smoke cigarettes use electronic nicotine device systems (ENDS) for cigarette cessation. This study examined the relationship between ENDS flavors, device types, and nicotine concentration with past month cigarette abstinence among adults using ENDS for cigarette cessation.

METHODS

We used the Population Assessment of Tobacco and Health (PATH) Study (waves 5 and 6) to identify adults who self-reported using ENDS to quit cigarettes at baseline (wave 5) and investigated their cigarette abstinence at follow-up (wave 6) [n = 1252]. Measures assessed include ENDS features (flavors, device types, nicotine concentration) at baseline and past-month abstinence from cigarette smoking at follow-up. Weighted descriptive analysis was used, and multivariable logistic regression models examined ENDS features associated with past-month cigarette abstinence, adjusting for demographic factors and tobacco dependence at baseline.

RESULTS

Most participants used disposable devices (37.2 %; 95 % CI:33.2-41.5), followed by refillable tanks (30.2 %; 95 % CI:26.2-34.5). Additionally, fruit (41.3 %; 95 % CI:37.3-45.5), followed by menthol (19.1 %; 95 % CI:16.2-22.4), and tobacco (18.5 %; 95 % CI:15.5-22.1) were the most common flavors. The most common nicotine concentration used was 1-6 mg/ml (38.8 %; 95 % CI:34.6-43.2). Furthermore, in the adjusted model, daily ENDS users at baseline had 86 % (95 % CI:1.08-3.18) higher odds of past month cigarette abstinence at follow-up, than individuals who indicated 'not at all' to the current use of ENDS at baseline. There were no significant differences by preferred flavors, device type and nicotine concentrations (p-values > 0.05).

CONCLUSIONS

Daily ENDS users had higher odds of quitting cigarettes compared to those who stopped using ENDS. However, the type of device, flavoring, and nicotine concentration used by ENDS users were not associated with past-month cigarette abstinence at follow-up two years later.

Electronic Cigarette Device and Liquid Characteristics: Comparison of Self-Reports to User-Provided Pictures

INTRODUCTION

 Self-reports of electronic cigarette (ECIG) device and liquid characteristics are not always accurate or consistent with characteristics as measured by researchers. Two methods for measuring ECIG characteristics were compared: user self-reports and rater-coded pictures.

METHODS

 Exclusive ECIG users (N = 321) reported on device (disposable, refillable, adjustable power, brand) and liquid (nicotine concentration, formulation, flavor) characteristics. To measure device type, they chose the term that best described their device ("cig-alike," "vape pen," "mod," "pod," "don't know") and the picture that best resembled their device (cig-alike, vape pen, box mod, USB-shaped pod, teardrop-shaped pod, none). Respondents uploaded device and liquid pictures, and independent raters coded these same features. Agreement between methods was examined with Cohen's kappa and intra-class correlations, including with "don't know" responses included and excluded from analyses.

RESULTS

 Regardless of how "don't know" responses were treated, agreement was highest for disposable (95.3-97.7%), refillable (96.3%), adjustable power (83.6-88.7%), and brand (77.9-80.4%), and lower for nicotine concentration (72.7%), nicotine formulation (58.6-79.4%), and flavor (66.2%). For device type, agreement was moderate using both term-based (67.9-78.8%) and picture resemblance-based (71.7%) items. For terms, the greatest discrepancy was for devices classified as "vape pens" by self-reports; of these, 70.6% were classified as "pods" by raters. For picture resemblance, ∼13% of users reported that their device resembled none of the pictures; raters classified these devices as USB-shaped pods (50.0%) and mods (23.8%).

CONCLUSIONS

 Self-reports may be sufficient for measuring some characteristics (brand, disposable, refillable, adjustable power), but not others (nicotine concentration and formulation, and some flavor).

Vuse Solo e-cigarettes do not provide net benefits to public health: a scientific analysis of FDA's marketing authorisation

In October 2021, the US Food and Drug Administration (FDA) authorised marketing of RJ Reynolds Vapor Company's (RJR) Vuse Solo e-cigarette through FDA's Premarket Tobacco Product Application (PMTA) pathway. FDA concluded that RJR demonstrated Vuse products met the statutory standard of providing a net benefit to public health. A review of FDA's scientific justification reveals deficiencies: (1) not adequately considering Vuse's popularity with youth and evidence that e-cigarettes expanded the nicotine market and stimulate cigarette smoking; (2) trading youth addiction for unproven adult benefit without quantifying these risks and benefits; (3) not considering design factors that appeal to youth; (4) not addressing evidence that e-cigarettes used as consumer products do not help smokers quit and promote relapse in former smokers; (5) not discussing evidence that dual use is more dangerous than smoking; (6) narrowly focusing on the fact that e-cigarettes deliver lower levels of some toxicants without addressing direct evidence on adverse health effects; (7) downplaying significant evidence of other substantial harms; (8) not acting on FDA's own study showing no all-cause mortality benefit of reducing (but not stopping) cigarette use; and (9) improperly considering e-cigarettes' high abuse liability and potential for high youth addiction and undermining tobacco cessation. Because marketing these products is not appropriate for the protection of the public health, FDA should reconsider its Vuse marketing order as statutorily required and not use it as a template for other e-cigarette PMTAs. Policymakers outside the USA should anticipate that tobacco companies will use FDA's decision to try to weaken tobacco control regulation of e-cigarettes and promote their products.

Use, marketing, and appeal of oral nicotine products among adolescents, young adults, and adults

IMPORTANCE

Oral nicotine products such as pouches, lozenges, tablets, gums, and toothpicks are gaining popularity, especially among adolescents and young adults, with increased marketing.

OBJECTIVE

To estimate use patterns of oral nicotine products and likelihood of buying and liking products based on marketing, using a large group of adolescents, young adults, and adults.

DESIGN, SETTING, AND PARTICIPANTS

A cross-sectional, online survey among U.S. participants (n = 6,131; ages 13-40 years) was conducted in November-December 2021.

MAIN OUTCOMES AND MEASURES

Ever, past-30-day, and past-7-day use, behaviors, and flavors of oral nicotine products. Liking marketing and likelihood of buying specific oral nicotine products (Zyn pouches and Lucy gum) from marketing.

RESULTS

Our sample included 2,025 (33.0%) ever-users, 1,191 (19.4%) past-30-day users, and 998 (16.3%) past-7-day users of any oral nicotine product. Use patterns by age (in years): ever-users (<21: 816 (22.3%); 21-40: 1,209 (48.9%)); past-30-day users (<21: 458 (12.5%); 21-40: 733 (29.7%)); and past-7-day users (<21: 383 (10.5%); 21-40: 615 (24.9%)). Across products, 10-18% of participants reported using nicotine strength ranging from 6-10 mg. Fruit, sweet/dessert, alcohol, coffee, and mint were the most used flavors. When shown marketing, ever-users liked and were likely to buy Zyn pouches compared to never users, and participants under 21 years felt equally targeted by Lucy and Zyn marketing. Liking Zyn marketing even a little bit compared to not at all increased the likelihood of buying Zyn pouches across age groups. After observing marketing, participants < 21 years were more likely to buy Zyn if they perceived marketing to contain messages about good tasting flavors (AOR 1.43, 1.09-1.87; 0.009) and helping to feel comfortable in social situations (AOR 1.38, 1.02-1.87; 0.033), and were more likely to buy Lucy if they felt it could be used anywhere (AOR 1.57, 1.05-2.33; 0.026).

CONCLUSIONS

This study provides a foundation for estimating use, behaviors, flavors, and marketing influence of oral nicotine products in the US and globally. Adolescent and young adult use of oral nicotine products and likelihood of buying products when exposed to marketing highlights the need for expanded tobacco use surveillance, marketing regulations, and counter marketing and educational efforts.

Use of electronic nicotine delivery system (ENDS) devices among U.S. Youth and adults: Findings from the Population Assessment of Tobacco and Health Study Waves 1-5

INTRODUCTION

Electronic nicotine delivery system (ENDS) devices evolve rapidly and impact nicotine dependence. This study described the type of ENDS devices used most frequently by U.S. youth and adults from 2013/14 to 2018/19.

METHODS

We analyzed Waves 1-5 data of the Population Assessment of Tobacco and Health Study. Among current ENDS users, descriptive statistics summarized the most frequently used ENDS devices (i.e., disposable cigalike, refillable cartridge, nonrefillable cartridge, tank, mod, prefilled pod, disposable pod) among youth (12-17 years), young adults (18-34 years), and older adults (≥35 years) for each wave.

RESULTS

The proportion of current ENDS users who reported they most frequently used disposable cigalikes and cartridge-based devices declined over time across all age groups. At Waves 1-4, tank was generally the most popular type for all ages and an increasing proportion of ENDS users reported they most frequently used tanks. The primary use of mods decreased among youth, and fluctuated among young and older adults. At Wave 5, prefilled pods became the dominant type (youth: 55.0%; young adults: 44.7%; older adults: 42.7%), and 4.2-10.0% of ENDS users reported using disposable pods most often. The popularity of tanks, mods, and prefilled pods was more evident in youth and young adults, and primary use of disposable pods was more common in older adults.

CONCLUSIONS

The primary use of ENDS devices changed over the years and varied by age. More research is warranted to continuously monitor the characteristics of ENDS devices in youth and adults to inform product regulations and intervention efforts.

Evaluation of the Psychometric Properties of Dependence Measures for Exclusive Electronic Cigarette Users

INTRODUCTION

Extant electronic cigarette (ECIG) dependence measures are largely adapted from those designed for cigarette smoking, though few have been evaluated for their psychometric properties.

AIMS AND METHODS

Never-smoking ECIG users (N = 134) participating in an online survey completed four dependence measures: Penn state electronic cigarette dependence index (PSECDI), e-cigarette dependence scale (EDS-4), diagnostic and statistical manual for tobacco use disorder (DSM-5), and Glover Nilsson behavioral questionnaire (GNBQ). They also reported on their ECIG use characteristics (eg, behaviors and reasons).

RESULTS

Internal consistency was highest for the EDS-4 (Cronbach's α = 0.88) followed by the GNBQ (α = 0.75), PSECDI (α = 0.72), and DSM (α = 0.71). Confirmatory factor analyses revealed a single-factor structure for the PSECDI, EDS-4, and GNBQ. For the DSM-5, however, two items did not load significantly (ECIG use interferes with responsibilities; reduce/give up activities because of ECIG use). Significant correlations were observed between all measures and the number of ECIG use days/week and/or years using ECIGs, as well as between DSM-5 scores and the number of ECIG quit attempts and initiation age. Endorsement of using ECIGs because "I like flavors" was correlated positively with DSM-5 and GNBQ scores.

CONCLUSIONS

All dependence measures evaluated herein demonstrated adequate reliability and construct validity. Future work should focus on determining which aspects of dependence are those that are unique to ECIG use, and subsequently developing a more comprehensive measure of ECIG dependence.

IMPLICATIONS

The measures assessed herein-PSECDI, EDS-4, DSM-5, and GNBQ-demonstrated adequate to good reliability and construct validity among a sample of never-smoking ECIG users. The dependence domains covered across measures were related yet distinct. Findings demonstrate the need for future evaluation of these different domains to determine which are the most salient characteristics of ECIG dependence.

Predictors of electronic cigarette dependence among non-smoking electronic cigarette users: User behavior and device characteristics

INTRODUCTION

ECIGs differ in their ability to deliver nicotine to the user and, consequently, they may differ in their ability to produce dependence. This study examined individual device characteristics, device type, and user behaviors as predictors of ECIG dependence in a sample of never-smoking ECIG users.

METHODS

Participants (N = 134) completed an online survey that assessed demographics, ECIG use behavior, and ECIG dependence as measured via the Penn State Electronic Nicotine Dependence Index (PSECDI) and E-cigarette Dependence Scale (EDS-4). Participants uploaded a picture of their personal ECIG device/liquid, which was coded by raters to identify product features. Multivariable linear regressions examined device characteristics (e.g., adjustable power, nicotine concentration) and device type (e.g., vape pen, mod, pod, modern disposable) as predictors of dependence controlling for demographics and user behaviors (e.g., ECIG use duration and frequency, other tobacco use).

RESULTS

Longer durations of ECIG use and more use days/week were associated significantly with higher PSECDI (β's = 0.91 and 1.90, respectively; p's < 0.01) and EDS-4 scores (β's = 0.16 and 0.28, respectively; p's < 0.01). Higher nicotine concentrations were associated with higher PSECDI scores only (β = 0.07, p =.011). Dependence scores did not differ as a function of ECIG device types after controlling for covariates.

CONCLUSIONS

ECIG dependence was observed among the never-smoking ECIG users in this sample, regardless of their ECIG device/liquid features. Findings suggest that regulatory efforts aimed at reducing the dependence potential of ECIGs in never smokers should focus on overall nicotine emissions rather than product features.

Young Adults' Electronic Cigarette Use and Perceptions of Risk

In the United States, 18.6% of college students between 19-and 22-years old report e-cigarette use in the last 30 days. Information regarding e-cigarette use and perceptions in this age group may assist in understanding how to decrease initiation of e-cigarettes in a population that may otherwise not use nicotine. The purpose of this survey was to determine current e-cigarette use and how e-cigarette use history relates to a college student's perceptions of health risks associated with e-cigarettes. A 33-item questionnaire was sent to students at a Midwestern university in Fall 2018. Overall, 3754 students completed the questionnaire. More than half of the respondents (55.2%) had used e-cigarettes and 23.2% identified as current users of e-cigarettes. Current e-cigarette users were more likely to agree that e-cigarettes are a safe and effective option to quit smoking, while never users were more likely to disagree (safe P < .001, effective P < .001). Current users were less likely to agree that e-cigarettes may harm a person's overall health than never users (P < .001). Young adults continue to be frequent users of e-cigarettes. There are significant differences in perceptions of e-cigarettes associated with use history. Additional research is needed to see how perceptions and use of e-cigarettes have changed considering lung injury reports and increased regulations in the U.S.

Vaping motivations: Association of behavioral inhibition and behavioral activation systems with nicotine and cannabis vaping among adolescents

BACKGROUND

Despite copious information on the hazards of nicotine and cannabis, many adolescents report vaping nicotine and cannabis. To advance knowledge on the precursors of vaping behaviors, this study examined the association of behavioral inhibition system (BIS) and behavioral activation system (BAS) sensitivities with nicotine and cannabis vaping among adolescents.

METHODS

Data were part of a longitudinal survey on substance use and mental health among adolescents and included 2,467 11th grade students from 10 public high schools in California. Participants completed a 20-item scale assessing BIS (one aspect) and BAS (three aspects: drive, fun-seeking, reward responsiveness) sensitivities at baseline and reported their past 30-day nicotine and cannabis vaping at baseline and again at 6-month follow-up. Unadjusted and adjusted (controlled for demographic characteristics and product-specific baseline vaping) regression models estimated vaping risk at follow-up by BIS/BAS scores at baseline.

RESULTS

Bivariate analyses showed participants who vaped nicotine had significantly higher drive and fun-seeking scores (p < 0.05); and cannabis vapers had lower BIS and reward responsiveness scores (p < 0.05) compared to non-users. Higher fun seeking scores was associated with increased odds (OR = 1.15, 95 %CI = 1.03-1.29) of nicotine vaping and higher reward responsiveness scores reduced odds (OR = 0.89, 95 %CI = 0.79-0.99) of nicotine vaping. Higher scores on BIS was associated with decreased the odds (OR = 0.91, 95 %CI = 0.84-0.99) of cannabis vaping.

CONCLUSION

Different behavioral motivations should be targeted when developing interventions designed to reduce nicotine and cannabis vaping among diverse adolescents.

Adolescents, Young Adults, and Adults Continue to Use E-Cigarette Devices and Flavors Two Years after FDA Discretionary Enforcement

This study assesses the use of e-cigarette devices and flavors using a large, cross-sectional survey of adolescents, young adults, and adults (N = 6131; ages 13−40 years old; Mage = 21.9) conducted from November to December 2021, 22 months after the FDA announced its prioritized enforcement policy against some flavored pod/cartridge-based e-cigarettes. We analyzed the patterns of use by age group: adolescents and young adults (AYAs) under 21 (minimum age of e-cigarette sales), young adults (21−24 years old), and adults (25−40 years old). The participants reported using e-cigarettes ever (44.2% < 21; 67.1% 21−24; 58.0% > 24), in the past 30 days (29.8% < 21; 52.6% 21−24; 43.3% > 24), and in the past 7 days (24.5% < 21; 43.9% 21−24; 36.5% > 24). Disposables were the most used e-cigarette device type across age groups (39.1% < 21; 36.9% 21−24; 34.5% > 24). Fruit, sweet, mint, and menthol flavors were popular across age groups; however, chi-squared tests for trends in proportions revealed age-related trends in past 30-day flavor use by device type. Findings suggest current AYA e-cigarette use may be higher than recorded by the NYTS 2021. The FDA, states, and localities should adopt more comprehensive restrictions on flavored e-cigarette products in order to reduce adolescent and young adult e-cigarette use.

Impact of vaping on respiratory health

Widespread uptake of vaping has signaled a sea change in the future of nicotine consumption. Vaping has grown in popularity over the past decade, in part propelled by innovations in vape pen design and nicotine flavoring. Teens and young adults have seen the biggest uptake in use of vape pens, which have superseded conventional cigarettes as the preferred modality of nicotine consumption. Relatively little is known, however, about the potential effects of chronic vaping on the respiratory system. Further, the role of vaping as a tool of smoking cessation and tobacco harm reduction remains controversial. The 2019 E-cigarette or Vaping Use-Associated Lung Injury (EVALI) outbreak highlighted the potential harms of vaping, and the consequences of long term use remain unknown. Here, we review the growing body of literature investigating the impacts of vaping on respiratory health. We review the clinical manifestations of vaping related lung injury, including the EVALI outbreak, as well as the effects of chronic vaping on respiratory health and covid-19 outcomes. We conclude that vaping is not without risk, and that further investigation is required to establish clear public policy guidance and regulation.

Use Patterns, Flavors, Brands, and Ingredients of Nonnicotine e-Cigarettes Among Adolescents, Young Adults, and Adults in the United States

IMPORTANCE

Nonnicotine e-cigarettes contain chemicals, flavorants, and solvents that have known health harms and/or have not been proven safe for inhalation.

OBJECTIVE

To evaluate nonnicotine e-cigarette use patterns, including common flavors, brands, and ingredients.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study included a convenience sample of US residents aged 13 to 40 years who completed an online survey in November and December 2021. Quota sampling was used for an equal proportion of participants aged 13 to 17 years, 18 to 20 years, and 21 to 40 years, balanced for sex, race, and ethnicity per the latest US Census.

MAIN OUTCOMES AND MEASURES

Nonnicotine e-cigarette use (ever, past 30- and past 7-day, number of times used, time taken to finish); co-use with nicotine e-cigarettes; age at first try; and flavors, brands, and ingredients used.

RESULTS

Overall, 6131 participants (mean [SD] age, 21.9 [6.8] years; range, 13-40 years; 3454 [56.3%] identifying as female) completed the survey (55.1% completion rate). Among all participants, 1590 (25.9%) had ever used a nonnicotine e-cigarette, 1021 (16.7%) used one in the past 30 days, and 760 (12.4%) used one in the past 7 days. By age group, 227 of 1630 participants aged 13 to 17 years (13.9%), 497 of 2033 participants aged 18 to 20 years (24.4%), 399 of 1041 participants aged 21 to 24 years (38.3%), and 467 of 1427 participants aged 25 to 40 years (32.7%) had ever used nonnicotine e-cigarettes. Among 1590 participants who had ever used a nonnicotine e-cigarette, 549 (34.5%) had used one more than 10 times; 1017 (63.9%) finished 1 nonnicotine e-cigarette in less than 1 week. Co-use of nonnicotine with nicotine e-cigarettes was reported by 1155 participants (18.8%), 1363 (22.2%) exclusively used nicotine e-cigarettes, and 431 (7.0%) exclusively used nonnicotine e-cigarettes. Most-used flavors were sweet, dessert, or candy (578 [36.3%]); fruit (532 [33.4%]); and mint or menthol (321 [20.2%]); similar flavor patterns were observed for the top 2 flavors among those who used nonnicotine e-cigarettes in the past 30 days, followed by combinations of coffee, alcohol, flower, plant, and mint or menthol flavors by age group. Participants most reported using tetrahydrocannabinol (587 [36.9%]), cannabidiol (537 [33.7%]), melatonin (438 [27.5%]), caffeine (428 [26.9%]), and essential oils (364 [22.9%]) in their nonnicotine e-cigarettes.

CONCLUSIONS AND RELEVANCE

In this study of adolescents, young adults, and adults, a sizeable proportion reported having used nonnicotine e-cigarettes and co-using them with nicotine e-cigarettes. Surveillance studies should further assess nonnicotine e-cigarette use patterns and regulations, and prevention should be developed to address youth appeal, unsubstantiated health claims, and possible health harms.

Concurrent use of e-cigarettes and cannabis and associated COVID-19 symptoms, testing, and diagnosis among student e-cigarette users at four U.S. Universities

Introduction

This investigation assessed whether current (past 30-day) electronic cigarette (e-cigarette) and cannabis use was associated with coronavirus disease 2019 (COVID-19) symptomatology, testing, and diagnosis among college student e-cigarette users.

Methods

Participants were 18–26-year-old college student e-cigarette users attending four geographically diverse, large U.S. public universities during October-December 2020 (N = 800). Multivariable logistic regression models explored associations between exclusive e-cigarette use and concurrent e-cigarette and cannabis use and COVID-19 symptoms, testing, and diagnosis. Models controlled for demographics, university site, and current use of combustible cigarettes, cigars, and smokeless tobacco.

Results

Over half of student e-cigarette users (52.0%) concurrently used cannabis. Compared to exclusive e-cigarette users, concurrent e-cigarette and cannabis users were 3.53 times more likely (95%CI = 1.96–6.36) to report COVID-19 symptoms, after adjusting for the covariates. Compared to infrequent exclusive e-cigarette users, infrequent concurrent users (AOR = 4.72, 95%CI = 1.31–17.00), intermediate concurrent users (AOR = 5.10, 95%CI = 1.37–18.97), and frequent concurrent users (AOR = 7.44, 95%CI = 2.06–26.84) were at increased odds of reporting COVID-19 symptoms. Compared to exclusive e-cigarette users, concurrent e-cigarette and cannabis users were 1.85 times more likely (95%CI = 1.15–2.98) to report a COVID-19 diagnosis. Intermediate concurrent users (AOR = 2.88, 95%CI = 1.13–7.35) and frequent concurrent users (AOR = 3.22, 95%CI = 1.32–7.87) were at increased odds of reporting a COVID-19 diagnosis, compared to infrequent exclusive e-cigarette users.

Conclusions

Concurrent use of e-cigarettes and cannabis may be an underlying risk factor of COVID-19 symptomatology and diagnosis, with more pronounced odds found among intermediate and frequent users. Results highlight the need to educate students about the impacts of e-cigarette and cannabis use on respiratory, immune, and overall health.

E-cigarette devices, brands, and flavors attract youth: Informing FDA's policies and priorities to close critical gaps

PURPOSE

Identify e-cigarette devices, brands, and flavor types used by adolescents and young adults soon after the enactment of flavor restrictions, youth access laws, FDA's enforcement prioritization against some flavored pod/cartridge-based e-cigarettes, and during COVID-19 pandemic-related school closures.

METHODS

National cross-sectional online survey (N = 4,351) in May 2020 assessed popularity, ever- and past-30-day use of e-cigarette device types (pod/cartridge-based, disposables, others), brands, flavor types and flavor-enhancers, by age group (under age 21 and 21 and over).

RESULTS

While pod/cartridge-based e-cigarettes had the highest ever-use (82.7% <21; 69.8% ≥21) and were most often-used (41.9% <21; 41.4% ≥21), most past 30-day-users (50.8% <21; 61.9% ≥21) and 7-day-users (36.0% <21; 56.7% ≥21) used disposables. Mint/menthol was the most-used flavor type (pod/cartridge-based: 48.2% <21, 48.1% ≥21; disposables: 51.6% <21, 56.4% ≥21), followed by fruit (pod/cartridge-based: 37.4% <21, 35.5%≥ 21; disposables: 51.6% >21, 46.2% ≥ 21), and sweet/dessert/candy flavor types (pod/cartridge-based: 24.4% <21, 24.7% ≥21; disposables: 29.7% <21, 33.8% ≥21). Participants reported using add-on e-cigarette flavor-enhancers (pod/cartridge-based: 24.6%; disposables: 31.3%).

CONCLUSION

Soon after FDA's January 2020 announcement of prioritized enforcement against flavored pod/cartridge-based e-cigarettes and during the pandemic lockdown, adolescents' and young adults' past 30-day use included mostly flavored disposables rather than pod/cartridge-based e-cigarettes, mint/menthol flavors, and some used add-on flavor enhancers. To reduce youth use, comprehensive regulation of e-cigarette devices and flavors should be enacted and enforced at federal, state, and local levels.

A Comprehensive Review of Vaping Use in Pediatric Patients and Recent Changes in Regulatory Laws

The use of electronic cigarettes (e-cigarettes), also known as vapes, by adolescents and young adults has dramatically increased over the past several years. E-cigarettes continue to be the most used form of tobacco among youth. As a result of this concerning trend, policies at both the state and federal levels have been implemented to limit availability in this population. Additionally, the coronavirus disease 2019 (COVID-19) pandemic has had some positive and negative effects on the youth vaping epidemic with adolescent consumers reporting limited access to retail sites during the stay-at-home executive orders, but easier access with online purchasing because age verification was often not required. Complications resulting from vaping have been reported and include e-cigarette or vaping product use–associated lung injury (EVALI) and thrombotic events. Data suggest that the use of vaping devices can lead to both short- and long-term respiratory morbidity in the pediatric population. This review serves to provide a comprehensive examination of vaping use in pediatric patients and recent changes in regulatory laws to equip pharmacists with the knowledge to be aware of the different devices and products available, ask their pediatric patients regularly about use, and counsel and educate on the potential harmful effects.

Rising vape pod popularity disrupted declining use of electronic nicotine delivery systems among young adults in Texas, USA from 2014 to 2019

AIMS

To examine the longitudinal trajectory of young Texan (US) adults' electronic nicotine delivery systems (ENDS) use from 2014 to 2019, and to determine if there are changes in the trajectory among younger and older young adults post-2017, when vape pods surged in popularity in the United States.

DESIGN

Nine-wave longitudinal study, with 6 months between each of the first eight waves and 1 year between the last two waves. Discontinuous, or piecewise, growth curve models were used to test the hypotheses that (a) the overall current/past 30-day ENDS use trajectory would decline from 2014 to spring 2017 but then increase from fall 2017 to 2019, and (b) the increasing trajectory from 2017 to 2019 would occur only for younger participants, but not older participants. All models included socio-demographic covariates of sex, race/ethnicity, type of college attended at baseline (2- or 4-year) and time-varying age.

SETTING AND PARTICIPANTS

A total of 5218 students (aged 18-25 years at baseline; 63.7% female) from 24 colleges in the five counties surrounding Austin, Dallas/Fort Worth, Houston and San Antonio, Texas, USA.

MEASUREMENTS

Participants completed on-line surveys regarding past 30-day ENDS use at all nine waves.

FINDINGS

Current ENDS use significantly declined from 2014 to spring 2017 [odds ratio (OR) = 0.63, 95% confidence interval (CI) = 0.59-0.68], and then significantly increased from autumn 2017 to 2019 (OR = 1.14, 95% CI = 1.01-1.29). Further examination indicated the increase in current ENDS use from autumn 2017 to 2019 occurred only for younger [-1 standard deviation (SD) below the mean age, 22.6 years old], but not older (+1 SD above the mean age, 26.2 years old), participants.

CONCLUSION

The surge in the popularity of vape pods in the United States in late 2017 may have contributed to increasing use of electronic nicotine delivery systems among younger young adults (below 22.6 years) from late 2017 to 2019.

Adolescents’ Perceptions of Substance Use Harms are Contingent on Mode of Administration and Type of Substance

Early vaping research often did not differentiate between substances vaped. The present study investigates risk perceptions for vaped nicotine and vaped cannabis. A school-based census of 9th and 11th graders yielded 431 responses to the California Healthy Kids Survey. Differences in harm perceptions were evaluated using multilevel mixed-effects models. Students were more likely to report nicotine vaping as great-moderate risk in comparison to cannabis vaping. Additionally, vaped cannabis was viewed as riskier than traditional administration. These results indicate that differences in harm perceptions may need to be addressed when targeting specific classes of substance use in investigations and interventions.

A one year prospective examination of risk factors for pod-vape use among young adults

BACKGROUND

Young adults have the highest prevalence of pod-vape use, compared to adolescents and older adults. Despite the increased use of pod-vapes among young adults, very few studies have explored the determinants associated with pod-vape use.

PURPOSE

The purpose of the current study was to examine the roles of social norms and risk perceptions in subsequent pod-vape use one year later among a cohort of 21-34-year-old young adults.

METHOD

Participants were 3543 young adults from the last two waves (spring 2018 and 2019) of the Marketing and Promotions across Colleges in Texas project (M-PACT). A multivariable logistic regression model was used to examine the role of social norms and risk perceptions on subsequent pod-vape use one year later.

RESULTS

The prevalence of current pod-vape use in the present sample increased by 139.3% between 2018 and 2019. The social norm variables of close friends' pod-vape use and inclination to date someone that uses pod-vapes, but not social acceptability of pod-vapes, predicted subsequent pod-vape use one year later. Neither of the risk perception variables predicted subsequent pod-vape use.

CONCLUSION

The current study highlights the importance of social norms as predictors of subsequent pod-vape use among older young adults (21-34 years old). The rise in pod-vape use indicates that preventative efforts that target young adults are warranted, especially those that consider the role of peers in pod-vape use.

Conceptual model for the evaluation of attractiveness, addictiveness and toxicity of tobacco and related products: The example of JUUL e-cigarettes

Many new tobacco and related products (nTRP) have emerged on the market, with unknown health risks. Here, we present a conceptual model containing the factors and relations between them that contribute to the nTRP's health effects. Factors that determine attractiveness, addictiveness and toxicity of nTRP were defined based on previous assessments, literature, and expert discussions. Our model will aid in identifying key risk factors contributing to increased risk of adverse health effects for a product in a qualitative manner. Additionally, it can gauge attractiveness for specific user groups, as a determinant for population prevalence of use. Our model can be used to identify aspects of nTRP that require attention for public information or product regulation. As an example, we applied this to JUUL, a popular e-cigarette in the US. Aspects of concern for JUUL are its attractive and discrete shape, user-friendly prefilled pods, flavors, high aerosol nicotine levels, and liquids containing nicotine salts instead of free-based nicotine. The addictiveness and especially attractiveness are sufficiently high to have a large potential impact on population health due to its contribution to use and hence exposure. Products and their use can change over time; therefore market research and monitoring are crucial.

Changes in knowledge, perceptions and use of JUUL among a cohort of young adults

OBJECTIVE

E-cigarettes have gained popularity, most recently with pod-style devices, such as JUUL. We examined changes in JUUL awareness, use, perceptions, nicotine content knowledge, number of days a pod lasts and exposure to JUUL retail advertising over a 6-month period in a cohort of young adults.

METHODS

In spring and fall 2018, 1836 young adults completed online surveys on tobacco use, including JUUL perceptions and use behaviours. Demographics, tobacco use and JUUL advertising exposure in spring 2018 were examined as predictors of current JUUL use in fall 2018.

RESULTS

Ever and current JUUL use doubled in 6 months (5.9% vs 12.7%, p<0.001; 1.6% vs 3.4%, p<0.001). The number of days a JUUL pod lasts significantly changed (p=0.049). Although there was an increase in those reporting JUUL has as much or more nicotine than a pack of cigarettes, 58% are 'not sure' of JUUL's nicotine content. Exposure to JUUL's advertising significantly increased (31.8% to 46.4%; p<0.001). In multivariable models, those perceiving JUUL as or more harmful than cigarettes, and former and never cigarette smokers had significantly lower odds of current JUUL use at 6 months compared with their respective counterparts (p<0.0001). Those reporting exposure to JUUL's advertising had significantly increased odds of current JUUL use 6 months later (p<0.03).

CONCLUSIONS

Findings demonstrate changes in knowledge of JUUL's nicotine content, perceptions and use over a short period of time, suggesting frequent measurement is necessary. Additionally, efforts are needed to regulate retail advertising and ensure consumer education about product risks as they are associated with current use.

COVID-19 and Substance Use in Adolescents

Studies have yielded mixed findings regarding changes in adolescent substance use during the COVID-19 pandemic; some report increased alcohol and cannabis use, others show less binge drinking and vaping behaviors, and others no change. In 2019, only 8.3% of the 1.1 million adolescents with a substance use disorder received specialized treatment. Treatment rates for 2020 have not yet been published. Stay-at-home orders and social distancing guidelines put into place in March 2020 caused the partial closure of many outpatient substance use clinics. The implications of this treatment suspension and special considerations for working with adolescents during stay-at-home orders are discussed.

Electronic Nicotine Delivery Systems (ENDS) Use and Pregnancy II: Perinatal Outcomes Following ENDS Use During Pregnancy

Purpose of Review

This review examines the risk of adverse perinatal outcomes following electronic nicotine delivery system (ENDS) use during pregnancy, and considers whether there are sufficient data to support ENDS as a harm reduction approach during pregnancy.

Recent Findings

Seven papers assessed perinatal outcomes following ENDS use during pregnancy. There was evidence that ENDS use was associated with increased risk for some adverse perinatal outcomes (e.g., small for gestational age). However, the repeated use of data sets, insufficient data (e.g., timing of ENDS use, type of ENDS products used), and limited samples size, contributed to mixed findings on the degree to which ENDS use (alone or in combination with combustible cigarettes (CC)) impacts the risk of adverse perinatal outcomes relative to CC smoking alone.

Summary

The current data are still insufficient to support ENDS as a harm reduction approach, though findings do warrant concern and more detailed investigation of ENDS use during pregnancy. Future research directions, as well as implications for clinical recommendations and tobacco regulatory science are discussed.

JUUL and other e-cigarettes: Socio-demographic factors associated with use and susceptibility in California

This study examined which socio-demographic factors are associated with susceptibility (lack of commitment to avoid future use), past-12-month and past-30-day use of JUUL and other e-cigarettes, and reasons for and against using JUUL. An online survey of 3,075 Californians ages 15-29, including 24.3% who identified as LGBTQ, were recruited via social media in January-March 2019. Multi-level weighted logistic regression models suggest that LGBTQ participants were more likely to be susceptible to JUUL [AOR = 2.11 (1.60, 2.79) (parentheses include 95% Confidence Intervals)] and other e-cigarettes [AOR = 2.31 (1.75, 3.05)], and more likely to use JUUL [AOR = 1.27 (1.02, 1.58)] and other e-cigarettes [AOR = 1.66 (1.35, 2.05)] in the past 12 months. Susceptibility to using JUUL was more likely among adolescents (ages 15-17) [AOR = 1.72 (1.30, 2.28)] and young adults (ages 18-20) [AOR = 1.26 (1.00,1.58)] than adults (ages 21-29). At the community level, living in jurisdictions with higher median household income was associated with a higher likelihood of being susceptible to using JUUL and other e-cigarettes. Compared to non-Hispanic Whites, Asian/Pacific Islanders were less likely to use JUUL [AOR = 0.68 (0.54, 0.86)] and other e-cigarettes [AOR = 0.60 (0.48, 0.76)] in the past 12 months. Past-30-day JUUL use was more likely among males than females [AOR = 1.44 (1.11, 1.88)]. Common reasons for using JUUL were: friends' use, flavors, "safer" than cigarettes, no one will notice, and nicotine rush is greater than other devices. Common reasons against using JUUL were: harmful to self/others, contains nicotine and is addictive. E-cigarette prevention and cessation efforts should include tailored messaging for people who identify as LGBTQ and reinforce reasons for not vaping nicotine.

Host variations in SARS-CoV-2 infection

The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the zoonotic pathogen that causes the "Coronavirus Disease of 2019 (COVID-19)", and COVID-19 itself is yet to be thoroughly understood. Both the disease as well as the mechanisms by which the host interacts with the SARS-CoV-2 have not been fully enlightened. The epidemiological factors -e.g. age, sex, race-, the polymorphisms of the host proteins, the blood types and individual differences have all been in discussions about affecting the progression and the course of COVID-19 both individually and collectively, as their effects are mostly interwoven. We focused mainly on the effect of polymorphic variants of the host proteins that have been shown to take part in and/or affect the pathogenesis of COVID-19. Additionally, how the procedures of diagnosing and treating COVID-19 are affected by these variants and what possible changes can be implemented are the other questions, which are sought to be answered.

"Don't Know" Responses for Nicotine Vaping Product Features among Adult Vapers: Findings from the 2018 and 2020 ITC Four Country Smoking and Vaping Surveys

Nicotine vaping products (NVPs) have evolved rapidly, and some vapers have difficulty reporting about their NVP. NVP knowledge may be important for providing accurate survey data, understanding the potential risks of NVP use, and assessing legal and regulated products. This paper examines current vapers who responded "don't know" (DK) regarding their NVP features. Data are from adult daily/weekly vapers in Waves Two (2018, n = 4192) and Three (2020, n = 3894) of the ITC Four Country Smoking and Vaping Survey. Analyses assessed DK responses for NVP features (e.g., type/appearance, nicotine) and consumption. A DK index score was computed based on the percent of all features with DK responses, which was tested for associations with demographics, smoking/vaping status, NVP features, purchase location, and knowledge of NVP relative risks. NVP description and appearance were easily identified, but DK was more common for features such as nicotine content (7.3-9.2%) and tank/cartridge volume capacity (26.6-30.0%). DK responses often differed by vaping/smoking status, NVP type/appearance, purchase location, and country. Vapers who are younger, use box-shaped NVPs, purchase online, and exclusive daily vapers were associated with lower DK index scores. Higher DK index scores were associated with poorer knowledge of relative health risks of NVP use. The diversity of the NVP market and wide variation in how products are used makes it challenging to capture information from users about device features, such as nicotine content and capacity, in population surveys.

The consequential impact of JUUL on youth vaping and the landscape of tobacco products: The state of play in the COVID-19 era

JUUL is a groundbreaking electronic cigarette (e-cig) and the preeminent vaping product on the market. We present an overview of the rapid and spectacular rise of JUUL and its remarkable fall within the timespan of 2015 - 2020. We highlight JUUL's entering the market in June 2015, becoming the industry leader in mid 2017, and experiencing a litany of setbacks by late 2019 through to early 2020. We address the role played by JUUL in the ongoing epidemic of youth vaping. We also feature competing views on the public health impact of JUUL use (in particular), and e-cig vaping (in general). We further highlight the latest trends in youth vaping and sales records for JUUL and tobacco cigarettes. In view of the ongoing pandemic of COVID-19, we briefly summarize the existing evidence on the relationship between vaping and smoking and the prevalence, disease course, and clinical outcomes of COVID-19.

Characteristics and changes over time of nicotine vaping products used by vapers in the 2016 and 2018 ITC Four Country Smoking and Vaping Surveys

OBJECTIVES

Regulation of nicotine vaping products (NVPs) varies between countries, impacting the availability and use of these products. This study updated the analyses of O'Connor et al on types of NVPs used and examined changes in NVP features used over 18 months in four countries with differing regulatory environments.

DESIGN

Data are from 4734 adult current vapers in Australia, Canada, England and the USA from Waves 1 (2016) and 2 (2018) of the International Tobacco Control Four Country Smoking and Vaping Survey. NVP characteristics included device description, adjustable voltage, nicotine content and tank size. Longitudinal analyses (n=1058) assessed movement towards or away from more complex/modifiable NVPs. A logistic regression was used to examine factors associated with changes in device description from 2016 to 2018.

RESULTS

Like 2016, box-tanks were the most popular NVP (37.3%) in all four countries in 2018. Over 80% of vapers continued using the same NVP and nicotine content between waves, though movement tended towards more complex/modifiable devices (14.4% of vapers). Box-tank users, exclusive daily vapers and older vapers were most likely to continue using the same device description. Certain NVPs and features differed by country, such as higher nicotine contents in the USA (11.5% use 21+ mg/mL) and greater device stability over time in Australia (90.8% stability).

CONCLUSIONS

Most vapers continued using the same vaping device and features over 18 months. Differences in NVP types and features were observed between countries, suggesting that differing NVP regulations affect consumer choices regarding the type of vaping device to use.

Underage Youth and Young Adult e-Cigarette Use and Access Before and During the Coronavirus Disease 2019 Pandemic

IMPORTANCE

Understanding patterns of e-cigarette use and access during the coronavirus disease 2019 (COVID-19) pandemic is important because e-cigarettes may put users at risk for more severe respiratory effects and other health problems.

OBJECTIVE

To examine whether underage youth and young adults who ever used e-cigarettes self-reported changes in access and use of e-cigarettes since the COVID-19 pandemic began.

DESIGN, SETTING, AND PARTICIPANTS

A national, cross-sectional online survey study was conducted from May 6 to May 14, 2020. This sample of 4351 participants aged 13 to 24 years across the US included 2167 e-cigarette ever-users. Quota sampling was used to balance for age, sex, race/ethnicity, and 50% having ever used e-cigarettes.

MAIN OUTCOMES AND MEASURES

Change in e-cigarette use (increase, decrease, quit, no change, and switch to another product) and access to e-cigarettes (easier or harder, and change in point-of-purchase) before and after the COVID-19 pandemic began, reasons for change, number of times e-cigarettes were used, nicotine dependence, and sociodemographic data.

RESULTS

This study focused on 2167 e-cigarette ever-users among 4351 participants who completed the survey. Among 2167 e-cigarette users, a total of 1442 were younger than 21 years and 725 were aged 21 years or older; 1397 were female (64.5%) and 438 identified as lesbian, gay, bisexual, transgender, queer (20.2%). The survey completion rate was 40%. Since the COVID-19 pandemic began, 1198 of 2125 e-cigarette users (56.4%) changed their use: 388 individuals (32.4%) quit, 422 individuals (35.3%) reduced the amount of nicotine, 211 individuals (17.6%) increased nicotine use, 94 individuals (7.8%) increased cannabis use, and 82 individuals (6.9%) switched to other products. Participants reported that not being able to go to vape shops and product unavailability were the reasons accessing e-cigarettes was difficult after the pandemic began. Since the COVID-19 pandemic began, individuals reported purchasing from alternative retail stores (disposables, 150 of 632 [23.7%]; pod-based, 144 of 797 [18.1%]; and other e-cigarette, 125 of 560 [22.3%], ie, between 18.1% and 23.7%), purchasing online instead of retail (disposables, 115 of 632 [18.2%]; pod-based, 156 of 797 [19.6%]; and other e-cigarette, 111 of 560 [19.8%], ie, between 18.2% to 19.8%), and shifted to retail instead of online (disposables, 11 of 632 [1.7%]; pod-based, 17 of 797 [2.0%]; and other e-cigarette, 13 of 560 [2.3%], ie, between 1.7%-2.3%). Other individuals reported no change: from retail stores (disposables 262 of 632 [41.5%]; pod-based 344 of 797 [43.2%]; and other e-cigarette, 223 of 560 [39.8%], ie, between 39.8% and 43.2%) and online (disposables 94 of 632 [14.9%]; pod-based 136 of 797 [17.1%]; and other e-cigarette, 88 of 560 [15.8%], ie, between 14.9% and 17.1%). Underage youth reported e-cigarette deliveries from vape shops and/or dealers or friends who received such deliveries, and 63 of 229 (27.5%) self-reported accessing e-cigarettes without age verification. e-Cigarette users were 52% less likely to quit or reduce their use if they previously used e-cigarettes between 11 and 99 times (adjusted odds ratio, 0.48; 95% CI, 0.30-0.78), 68% less likely to quit if they previously used e-cigarettes more than 100 times (adjusted odds ratio, 0.32; 95% CI, 0.20-0.51), and 51% were less likely to quit if they were nicotine dependent (adjusted odds ratio, 0.49; 95% CI, 0.35-0.70).

CONCLUSIONS AND RELEVANCE

During the COVID-19 pandemic, youth e-cigarette users reported changes in e-cigarette use, point-of-purchase, and ability to purchase e-cigarettes without age verification. The US Food and Drug Administration and local policy makers may find these data useful to inform policies to prevent e-cigarette sales to underage youth.

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.

Association Between Youth Smoking, Electronic Cigarette Use, and COVID-19

PURPOSE

This study aimed to assess whether youth cigarette and electronic cigarette (e-cigarette) use are associated with coronavirus disease 2019 (COVID-19) symptoms, testing, and diagnosis.

METHODS

An online national survey of adolescents and young adults (n = 4,351) aged 13-24 years was conducted in May 2020. Multivariable logistic regression assessed relationships among COVID-19-related symptoms, testing, and diagnosis and cigarettes only, e-cigarettes only and dual use, sociodemographic factors, obesity, and complying with shelter-in-place.

RESULTS

COVID-19 diagnosis was five times more likely among ever-users of e-cigarettes only (95% confidence interval [CI]: 1.82-13.96), seven times more likely among ever-dual-users (95% CI: 1.98-24.55), and 6.8 times more likely among past 30-day dual-users (95% CI: 2.40-19.55). Testing was nine times more likely among past 30-day dual-users (95% CI: 5.43-15.47) and 2.6 times more likely among past 30-day e-cigarette only users (95% CI: 1.33-4.87). Symptoms were 4.7 times more likely among past 30-day dual-users (95% CI: 3.07-7.16).

CONCLUSIONS

COVID-19 is associated with youth use of e-cigarettes only and dual use of e-cigarettes and cigarettes, suggesting the need for screening and education.

Longitudinal trends in e-cigarette devices used by Californian youth, 2014-2018

The rate of adolescent and young adult (AYA) e-cigarette usage has increased in recent years, possibly due to the introduction of sleek new e-cigarette devices such as JUUL. This study analyzed data from 400 California AYA to examine trends in e-cigarette usage by device type (disposables, large-size rechargeables, vape/hookah pens, JUUL/pod-based). Participants were asked about their ever, past 30-day, and past 7-day use of e-cigarettes; their usual e-cigarette device used; and co-use of devices in seven surveys administered approximately biannually from 2014 to 2018. During this time period, total e-cigarette ever-usage in our cohort increased linearly from 14.1% to 46.2% (p_trend < 0.001). JUUL/pod-based e-cigarette ever-usage increased from 14.9% to 22.5% in just six months in 2018. Furthermore, a majority of new e-cigarette users at the time of the survey endorsed using JUUL/pod-based devices (58.3% in Wave 6, 73.0% in Wave 7). With newer device options, AYA were also increasingly less likely to endorse older models such as disposables (19.1% to 6.9% from 2014 to 2018, p_trend < 0.01) and rechargeables (69.1% to 26.2% from 2014 to 2018, p_trend < 0.001) as their usual e-cigarette device. Participants who used JUUL/pod-based only as their usual device were more likely to endorse using only JUUL/pod-based devices during follow-up survey (70%), and none switched to a new device completely. Overall, this study provides a snapshot of how AYA's e-cigarette preferences appear to respond to new devices entering the market.

Electronic cigarette and moist snuff product characteristics independently associated with youth tobacco product perceptions

INTRODUCTION

Tobacco product characteristics convey product attributes to potential users. This study aimed to assess independent contributions of specific e-cigarette and smokeless tobacco product characteristics to adolescents' perceptions about these products.

METHODS

In 2019-2020, students (N=1003) attending a convenience sample of 7 high schools in California (USA) were individually randomized to one of two discrete choice experiments, featuring either electronic cigarettes (e-cigarettes) or moist snuff. Participants were presented like-product pairs of randomlygenerated hypothetical tobacco products differing in device type, flavor, vapor cloud, and nicotine amount (for e-cigarettes) or differing in brand, flavor, cut, and price (for moist snuff). Within pairs, participants were asked about which product they were more curious, was more dangerous, would give a greater 'buzz,' and would be easier to use. Conditional logistic regression was used to quantify independent associations of product characteristics to participants' choices.

RESULTS

Each e-cigarette and moist snuff characteristic was independently associated with multiple product perceptions. All non-tobacco flavors were associated with more curiosity and perceived ease-of-use but lower perceived danger. Tank and pod-type e-cigarettes were viewed as easier to use and garnered more curiosity than 'cigalike' or 'drip-mod' devices. Smaller vapor cloud e-cigarettes and lower-price moist snuff were viewed as less dangerous, less buzz-inducing, and easier to use. Product ever users held stronger perceptions than never users about device type (e-cigarettes) and brands (moist snuff), while product naïve participants more strongly associated flavor with danger and buzz.

CONCLUSIONS

Tobacco product characteristics convey product attributes to adolescents that may increase appeal. Restricting specific characteristics, including flavors, could reduce positive perceptions of these products among youth.