The case of young people who use e-cigarettes infrequently: Who is this population? What becomes of them?

BACKGROUND: Emerging data indicate that many adolescents and young adults ("youth") engage in infrequent, or occasional, e-cigarette use. However, little is known about this population as they are often subsumed into the broader "any past-30-day use" category used to define youth "current use." This study aimed to focus on infrequent e-cigarette use by youth, examining its correlates and transitional outcomes. METHODS: Participants were from a prospective cohort study of youth (aged 15-24 at baseline). Among youth who had used e-cigarettes, we classified "infrequent use" as using e-cigarettes ≤5 days in the last 30 days (n=273) and "frequent use" as using e-cigarettes ≥6 days in the last 30 days (n=278). Descriptive statistics, Markov modeling, and logistic regression were utilized. RESULTS: By the 12-month follow-up, 76.8% of those using infrequently at baseline remained in the "infrequent use" category, 6.3% reported no recent use, and 16.8% had escalated to the "frequent use" category. Among the youth using infrequently at baseline, those who did (vs. did not) escalate to frequent use by follow-up had higher baseline nicotine dependence and were more likely to have family members who used tobacco. CONCLUSIONS: Infrequent e-cigarette use is extremely common, and often fairly stable, among young people. Prevention efforts must certainly attempt to reduce escalation and attend to both individual and interpersonal factors (e.g., nicotine dependence, family use). Yet prevention efforts must additionally attend to the case of continued infrequent use, given the high prevalence of people in this category and their regular exposure to e-cigarette harms.

Nicotine information disclosed online by e-cigarette brands popular with young people.

INTRODUCTION: E-cigarette use is most prevalent among adolescents and young adults - and there are often misperceptions about product risk. The purpose of this study was to determine what nicotine information is provided on e-cigarette brand websites. METHODS: Based on national and local surveys, we identified 44 e-cigarette brands commonly used in the US by adolescents and young adults. For each of these brands, their associated websites were analyzed for disclosed nicotine information. Specifically, for each brand's website, we coded whether there was information on nicotine concentration (recorded if a numerical value was provided such as '5% nicotine'), nicotine form (free-base, nicotine salts, or not stated), and nicotine type (tobacco-derived, synthetically derived, or not stated). Coding allowed for both lay (e.g. 'nic salts') as well as scientific (e.g. 'isomers') terms. RESULTS: Of the 44 brands examined, all provided basic information on nicotine concentration (e.g. '5% nicotine'). However, 23% of brands did not disclose information on nicotine form (i.e. nicotine salt vs free-base), and 66% of brands did not disclose information on nicotine type (i.e. synthetic vs tobacco-derived). CONCLUSIONS: Overall, these results suggest that the e-cigarette industry is not fully informing its consumers about the nicotine in their products. Given that nicotine form and type have implications for e-cigarette addiction potential, these findings highlight a public health concern. There is a need for more comprehensive national regulations for mandating product constituents and emissions disclosures.

Factors Associated With Successful E-Cigarette Cessation Among a Convenience Sample of Adult Users.

Background: A growing body of literature suggests that many people who use e-cigarettes become dependent and have difficulty quitting. Most people who use e-cigarettes have interest in quitting, yet there is currently a lack of evidence to inform interventions for e-cigarette cessation. Objective: The purpose of this study was to identify factors associated with successful e-cigarette quit attempts among a large sample of people who use e-cigarettes. Methods: Participants (n=586) were people who use e-cigarettes who reported at least one lifetime attempt to quit their e-cigarette use. Adjusted logistic regression models were performed to examine differences in e-cigarette use characteristics and quit methods between people who currently use e-cigarettes and who quit e-cigarettes. Results: Most participants were people who currently use e-cigarettes and only 27.5% reported successfully quitting. Most participants (90.6%) used e-cigarettes that contained nicotine, and over half (54.0%) used closed-system e-cigarette devices with replaceable pre-filled pods or cartridges. The quit method most commonly used overall (63.1%) and for people who quit e-cigarettes (70.8%) was cold turkey. Past 30-day cigarette use and past 30-day other tobacco use was significantly associated with reduced odds of quitting, and there were no e-cigarette characteristics significantly associated with successful cessation. Nicotine replacement therapy was the only e-cigarette cessation method that was significantly associated with increased odds of quitting after adjusting for past 30-day cigarette and other tobacco use. Conclusions: These results suggests that cigarette use, other tobacco use, and quit method used may significantly influence the likelihood of e-cigarette cessation. Future research is needed to determine the effectiveness of interventions for e-cigarette cessation using nicotine replacement therapy.

Eating Disorder Symptomatology Among Young Adult Cigarette and E-Cigarette Users.

Objective: Tobacco use is elevated among individuals with eating disorders (EDs). Yet, further research is needed to understand associations between cigarette and e-cigarette use patterns and ED symptomatology. To gain a more comprehensive understanding of tobacco use and EDs, this study characterized ED symptomatology and tobacco use patterns, including exclusive cigarette use, e-cigarette use, dual use, and nonuse. Method: Young adults aged 18-24 years who self-reported exclusive cigarette, e-cigarette, dual, or nonuse (N = 2500) were recruited via Lucid, an online survey management company. Participants completed questionnaires assessing body dissatisfaction, global ED psychopathology, binge eating and self-induced vomiting frequency, and demographics. ED diagnostic groups included: anorexia nervosa (AN), bulimia spectrum eating disorders (BSED), atypical AN, and night eating syndrome (NES). Results: Multinomial logistic models revealed those with AN were more likely to be dual users, those with atypical AN were more likely to be exclusive e-cigarette users, and participants with a BSED or NES were more likely to be exclusive e-cigarette or dual users, compared to those without an ED. General linear models suggested body dissatisfaction and global ED psychopathology were higher among exclusive e-cigarette and dual users, while binge eating and self-induced vomiting frequencies were greater among all tobacco use groups compared to nonusers. Discussion: Our findings suggest young adults with ED symptomatology were more likely to be users of e-cigarettes exclusively or dual users. It will be necessary to examine how these associations manifest using longitudinal and clinical populations in future research.

Impact of Financial Disclosures and Health Warnings on Youth and Young Adult Perceptions of Pro-E-cigarette Instagram Posts.

INTRODUCTION: We examined the impact of financial disclosures and warning labels on pro-e-cigarette Instagram posts and their association with attitudes toward the ad and product among youth and young adults. METHODS: During March to May 2021, we conducted a factorial experiment using an online convenience sample of youth and young adults (N = 1687, Mage = 21.54). Participants were randomized to one of four conditions: pro-e-cigarette Instagram posts with only a financial disclosure, only a warning label, both a financial disclosure + warning label, or no financial disclosure or warning label. After viewing the posts, participants answered questions regarding their attitude toward the ad and the product. We used one-way ANOVA to estimate the association of condition on outcomes controlling for demographics. RESULTS: Young adults who viewed Instagram posts with only a financial disclosure reported more positive attitudes toward the ad than those who viewed posts with both a financial disclosure + warning label (p < .05). Young adults who viewed posts with only a financial disclosure reported more positive attitudes toward the product than those who viewed posts with only a warning label, both a financial disclosure + warning label, and without either (ps < .05). Differences were not statistically significant for youth. E-cigarette use status was associated with increased positive attitudes toward the ad (p < .001) and product (p < .001) for all participants. CONCLUSIONS: Our results can inform policy interventions to mitigate the effects of e-cigarette social media marketing among youth and young adults. Including financial disclosures may not decrease appeal of e-cigarettes compared to posts without either. IMPLICATIONS: Findings from the study suggest that a warning label may be more effective in reducing the effects of pro-e-cigarette social media posts than a financial disclosure among young adults. Public health officials should examine additional strategies beyond financial disclosures and warning labels (eg, social media peer mentoring program) to offset the persuasive effects of pro-e-cigarette social media marketing posts on young people. Additional policy interventional efforts are needed to limit the impact of e-cigarette social media marketing.

Exposure to Secondhand Smoke Extract Increases Cisplatin Resistance in Head and Neck Cancer Cells.

Chemotherapy and radiotherapy resistance are major obstacles in the long-term efficacy of head and neck squamous cell carcinoma (HNSCC) treatment. Secondhand smoke (SHS) exposure is common and has been proposed as an independent predictor of HNSCC recurrence and disease-free survival. However, the underlying mechanisms responsible for these negative patient outcomes are unknown. To assess the effects of SHS exposure on cisplatin efficacy in cancer cells, three distinct HNSCC cell lines were exposed to sidestream (SS) smoke, the main component of SHS, at concentrations mimicking the nicotine level seen in passive smokers' saliva and treated with cisplatin (0.01-100 µM) for 48 h. Compared to cisplatin treatment alone, cancer cells exposed to both cisplatin and SS smoke extract showed significantly lower cisplatin-induced cell death and higher cell viability, IC50, and indefinite survival capacity. However, SS smoke extract exposure alone did not change cancer cell viability, cell death, or cell proliferation compared to unexposed control cancer cells. Mechanistically, exposure to SS smoke extract significantly reduced the expression of cisplatin influx transporter CTR1, and increased the expression of multidrug-resistant proteins ABCG2 and ATP7A. Our study is the first to document that exposure to SHS can increase cisplatin resistance by altering the expression of several proteins involved in multidrug resistance, thus increasing the cells' capability to evade cisplatin-induced cell death. These findings emphasize the urgent need for clinicians to consider the potential role of SHS on treatment outcomes and to advise cancer patients and caregivers on the potential benefits of avoiding SHS exposure.

Nicotine dependence among undergraduates who use nicotine salt-based e-cigarettes.

OBJECTIVE: This study examined the relationship between use patterns of a popular e-cigarette brand using nicotine salts, JUUL, and symptoms of nicotine dependence in a college cohort. PARTICIPANTS: Data for this study came from a prospective cohort of undergraduate students at a large Midwestern university from 2018 to 2019. METHODS: Among participants who had ever tried a JUUL (N = 411), univariate and multivariable logistic regression were used to test the associations between use frequency (past 30-day use) and quantity (time to finish a pod) and nicotine dependence at follow up. RESULTS: In the multivariable models, both frequency of use and quantity of use were associated with subsequent nicotine dependence, based on most indicators of dependence. CONCLUSIONS: As salt-based nicotine is now present in the most popular e-cigarette brands used by young people, such findings inform our contemporary understanding of e-cigarettes' addictive potential and can help inform campus-based interventions.

Demographic and Behavioral Differences Between Adolescents and Young Adults Who Use E-Cigarettes at Low and High Frequency.

BACKGROUND: Among adolescents and young adults (AYAs), "current use" of electronic cigarettes (e-cigarettes) is commonly defined as any use in the past 30 days. However, few studies have examined differences among those within this broad category. This study examined characteristics of AYAs who used e-cigarettes at a low frequency (within the last 3 months but <6 days out of the past 30 days) and those who used e-cigarettes at a high frequency (6+ days out of the past 30 days). METHODS: We conducted cross-sectional analyses among 551 Ohio AYAs (15- to 24-year-olds) who reported using an e-cigarette to vape nicotine in the past 3 months. We used descriptive statistics and logistic regression to characterize those using e-cigarettes at a low frequency and a high frequency. RESULTS: Among our sample of AYAs who reported past 3-month e-cigarette use, about half (50.8%) reported using an e-cigarette 6 or more days out of the past 30 days (ie, high frequency). In the multivariable analysis, reported nicotine dependence (Odds Ratio [OR]: 7.0, 95% CI: 4.8, 10.3) and current other tobacco product use (OR: 1.8, 95% CI: 1.1, 2.9) were associated with high-frequency e-cigarette use. CONCLUSION: Our results suggest that frequency of use is an important characteristic in understanding AYA e-cigarette use. Any use in the past 30 days may not be sensitive enough to understand dependence and tobacco-use behaviors. Further characterizing "current" e-cigarette use by frequency of use may provide meaningful information for public health professionals to better target intervention and cessation efforts to AYAs.

Prospective study of e-cigarette use and respiratory symptoms in adolescents and young adults.

RATIONALE: Electronic cigarette (e-cigarette) aerosol contains volatile aldehydes, including flavourings and oxidant metals with known pulmonary toxicity. OBJECTIVES: To evaluate the associations of e-cigarette use with symptoms of wheeze, bronchitic symptoms and shortness of breath (SOB) across 4 years of prospective data. METHODS: Participants completed questionnaires on respiratory symptoms and past 30-day e-cigarette, cigarette and cannabis use in 2014 (wave 1; N=2094; mean age 17.3 years, SD=0.6 years). Follow-up information was collected in 2015 (wave 2; n=1609), 2017 (wave 3; n=1502) and 2018 (wave 4; n=1637) using online surveys. Mixed-effects logistic regression models evaluated associations of e-cigarette use with respiratory symptoms. MEASUREMENTS AND MAIN RESULTS: Participants were mostly Hispanic white (51.8%) and evenly representative by sex (49.6% female; 50.4% male). Compared with never e-cigarette users, past 30-day e-cigarette users reported increased odds of wheeze (OR 1.81; 95% CI 1.28, 2.56), bronchitic symptoms (OR 2.06; 95% CI 1.58, 2.69) and SOB (OR 1.78; 95% CI 1.23, 2.57), adjusting for study wave, age, sex, race, lifetime asthma diagnosis and parental education. Effect estimates were attenuated (wheeze (OR 1.41; 95% CI 0.99, 2.01), bronchitic symptoms (OR 1.55; 95% CI 1.18, 2.05), SOB (OR 1.48; 95% CI 1.01, 2.18)), after adjusting additionally for current cigarette use, cannabis use and secondhand exposure to e-cigarettes/cigarettes/cannabis. CONCLUSIONS: E-cigarette use in young adults was associated with respiratory symptoms, independent of combustible cannabis and cigarette exposures.

Longitudinal Transitions Between Use of Combustible, Noncombustible, and Multiple Cannabis Products From Adolescence to Young Adulthood and Intersections With Nicotine Use.

Understanding transitions across use of different types of cannabis products and multiple cannabis products and how they intersect with nicotine use in young people can inform etiology and prevention. In this study, we examined transitions across use of combustible and noncombustible forms of cannabis and multiple types of cannabis from adolescence to young adulthood and the role of nicotine use in transitions. In a Southern California longitudinal cohort study (n = 3,298; baseline mean age = 16.1 (standard deviation, 0.4) years) with 9 semiannual survey waves (2015-2021), we used Markov multistate transition modeling to estimate short-term (2-wave) and long-term (9-wave) probabilities of transition across 5 cannabis use states: never use of any product, prior use with no past-6-month (P6M) use of any product, and P6M use of exclusively noncombustible products, exclusively combustible products, and multiple (noncombustible + combustible) products. Sizable transition probabilities from prior and exclusive P6M noncombustible or combustible cannabis use to P6M poly-cannabis-product use were observed in short-term (10.7%-38.9%) and long-term (43.4%-43.8%) analyses. P6M nicotine use increased risk of transitioning from never and prior use to exclusive P6M noncombustible and combustible cannabis use. Cannabis use in any form, even temporary use, during midadolescence may often be followed by poly-cannabis-product use. Nicotine use may amplify the probability of future cannabis use onset or recurrence.

Trajectories of body mass index and combustible and electronic cigarette use across adolescence: Findings from the PATH study.

PURPOSE: Associations between empirically-generated body mass index (BMI) trajectories and risk of current use of combustible cigarettes and e-cigarettes across adolescence were examined using longitudinal data from the Population Assessment of Tobacco and Health (PATH) study. METHODS: The PATH study is an ongoing annual longitudinal population-based study of adolescents. We utilized Waves 1-4 conducted from 2013 to 2017. Adolescents completed self-reported surveys of their height, weight, and current tobacco use at Waves 1-4 and their tobacco weight control beliefs at Waves 1-2. RESULTS: Using latent growth mixture modeling, six trajectories of BMI were identified. The largest group ("normal weight increasing;" n = 4,858; 86.6 %), which was used as the comparator in subsequent analyses, consisted of adolescents ages 12-17 who were normal weight at Wave 1 with a significant increase in BMI across Waves 2--4. The "overweight early increasing," "overweight late increasing," and "obesity stable" classes had greater likelihood of current combustible cigarette use during the study compared to the "normal weight increasing class." The "overweight early increasing," "overweight late increasing," and "overweight increasing then decreasing" classes showed elevated risk for e-cigarette use during the study. Compared to those in the "normal weight increasing" class, those in the "overweight increasing then decreasing" and "obesity stable" classes had greater weight control beliefs at Wave 1 and those in the "obesity stable" class had greater weight control beliefs at Wave 2. CONCLUSIONS: Findings highlight the importance of weight trajectories and weight control beliefs by tobacco product use across adolescence and the need for mechanistic and intervention research.

Indirect Effects of Body Mass Index and Sweet Taste Responsiveness on E-Cigarette Dependence: The Role of E-Cigarette Motives.

Background: Recent research has shown obesity to be associated with e-cigarette use and appeal, but models have yet to examine how weight status may be related to e-cigarette dependence among e-cigarette users. Objectives: To increase our understanding of pathways from body mass index (BMI) to e-cigarette dependence, the present cross-sectional observational study investigated a model in which BMI, sweet taste responsiveness, and the interaction of BMI and sweet taste responsiveness are associated with e-cigarette dependence indirectly via seven conceptually-distinct motives for e-cigarette use. Data from several e-cigarette clinical laboratory research studies were pooled and analyzed; only current e-cigarette users were included in the analyses (N=330). Structural equation modeling was used to analyze the hypothesized model. Results: BMI was positively associated with lower social/environmental goad motives and higher weight control motives, and BMI x sweet taste interaction terms found that sweet taste responsiveness strengthened the association of BMI and weight control motives. BMI was not directly or indirectly associated with e-cigarette dependence nor was there a bivariate association between BMI and e-cigarette dependence. Sweet taste responsiveness was positively associated with greater affiliative attachment motives, cognitive enhancement motives, cue exposure-associative process motives, weight control motives, and affect enhancement motives. Sweet taste responsiveness was bivariately associated with e-cigarette dependence and mediation paths show indirect relations to e-cigarette dependence via three of the seven motives. Conclusions: The findings suggest that sweet taste responsiveness, opposed to BMI, is associated with a wider range of e-cigarette use motives and indirectly relates to e-cigarette dependence via several e-cigarette use motives.

Effects of flavour and modified risk claims on nicotine pouch perceptions and use intentions among young adults who use inhalable nicotine and tobacco products: a randomised controlled trial.

BACKGROUND: Availability of flavours and potential modified risk tobacco product (MRTP) claims may influence young adults' (YAs') perceptions of and intentions to use nicotine pouches ('pouches'). METHODS: YAs aged 21-34 years (N=47, M age=24.5, SD=3.1) with past-month nicotine/tobacco use (10.6% cigarette-only, 51.1% e-cigarette-only, 38.3% dual use) and no intention to quit were randomised to self-administer four Zyn 3 mg nicotine pouches in a 4 (flavour; within-subjects: smooth, mint, menthol, citrus) × 2 (MRTP claim on packaging; between subjects: present or absent) mixed-factorial design. After self-administering each pouch, participants reported appeal, use intentions and perceived harm compared with cigarettes and e-cigarettes. Three mixed-factorial analysis of variances (ANOVAs) examined main and interactive effects of flavour and MRTP claim on appeal, use intentions and comparative harm perceptions. RESULTS: Mint (M=55.9, SD=26.4), menthol (M=49.7, SD=26.8) and citrus (M=46.6, SD=24.8) flavours were significantly more appealing than smooth (M=37.6, SD=25.4; p<0.001). MRTP claim did not significantly affect product appeal (p=0.376). Use intentions were greater for mint (M=2.6, SD=1.3) and menthol (M=2.0, SD=1.1) flavours than smooth (M=1.8, SD=1.0; p=0.002). Flavour did not affect comparative harm perceptions (p values>0.418). MRTP claims increased use intention (p=0.032) and perceptions of pouches as less harmful than cigarettes (p=0.011), but did not affect perceived harm relative to e-cigarettes (p=0.142). Flavour × MRTP claim interactions were not significant. CONCLUSIONS: Flavoured (vs smooth) pouches were more appealing to YAs. MRTP claims reduced perceived harm of pouches compared with cigarettes; however, intentions to switch were low. To protect YAs' health, regulatory restrictions could target flavours and MRTP claims.

Effects of 'Ice' flavoured e-cigarettes with synthetic cooling agent WS-23 or menthol on user-reported appeal and sensory attributes.

BACKGROUND: This clinical experiment tested the effects of exposure to e-cigarettes with WS-23 or menthol cooling additives on user appeal and sensory attributes, and, secondarily, whether WS-23 effects generalised across base characterising flavour, nicotine concentration, or nicotine/tobacco product use status. METHODS: In this within-participant double-blind experiment, adult tobacco/nicotine users administered standardised puffs of 18 different e-cigarette solutions in randomised sequences using a pod-style device. Each of three base characterising e-cigarette flavour solutions ('bold tobacco', 'mango,' 'wintergreen') in both 2% and 4% concentrations of nicotine benzoate salt were manipulated by adding either: (1) Menthol (0.5%), (2) WS-23 (0.75%) or (3) No cooling agent. After each administration, participants rated 3 appeal and 5 sensory attributes (0-100 scales). RESULTS: Participants (n=84; M(SD)=38.6 (13.6) years old) were either exclusive e-cigarette (25.0%), cigarette (36.9%) or dual (38.1%) users. WS-23 versus no coolant products produced higher liking, willingness to use again, smoothness, and coolness and lower disliking, bitterness, and harshness ratings (|B|difference range: 4.8 to 20.1; ps<0.005). Menthol (vs no coolant) increased willingness to use again and reduced harshness and coolness (ps<0.05). Flavours with WS-23 (vs menthol) were rated as smoother, cooler and less harsh (ps<0.05). Coolant effects did not differ by base flavour, nicotine concentration, or tobacco use status. CONCLUSIONS: Adding synthetic coolant WS-23 to e-cigarettes appears to make the vaping user experience more appealing, regardless of characterising base flavour. Regulatory agencies should be aware that the manufacturing process of adding synthetic coolants may increase the attractiveness of various e-cigarette products.Cite Now.

What do young people know about the nicotine in their e-cigarettes?

INTRODUCTION: In recent years, the nicotine in e-cigarettes has been available in either a 'free-base' (unprotonated) or 'nicotine salt' (protonated) form. Additionally, e-cigarette nicotine can be either 'synthetic' or 'tobacco-derived'. These dimensions of nicotine have implications for nicotine absorption, bioavailability and sensory experiences. However, it is unclear if the young people using e-cigarettes are aware of these nicotine dimensions. METHODS: Data came from a cohort of Ohio youth (aged 15-24) who reported using an e-cigarette in the past 4 months (N=271). Participants were enrolled and provided background information in 2021; their 12-month follow-up survey asked about the presence, form and type of nicotine in their usual e-cigarette. Individuals who reported that they could distinguish between tobacco-derived and synthetic nicotine were additionally asked to describe the difference. RESULTS: Of the 247 youth who reported that there was nicotine in their usual e-cigarette, 71.7% did not know whether it was free-base or nicotine salt and 75.7% did not know whether it was synthetic or tobacco-derived. Awareness was higher among youth who were using e-cigarettes at a greater frequency and quantity. The majority reported that they could not detect a difference between the experience of using synthetic vs tobacco-derived nicotine. CONCLUSIONS: These findings indicate the generally limited awareness about nicotine among youth who used e-cigarettes. Improvements in health communications and requirements for e-cigarette industry disclosures are necessary to ensure that consumers are better informed about the dimensions-and the risks-of the nicotine they are consuming.

Prioritizing common terminology and measures to advance research on oral nicotine product use.

This commentary calls for consistent measurement of oral nicotine product use by the scientific community, recommends specific measures where possible, and emphasizes areas in need of further research. We hope to expedite the use of consistent measures of oral nicotine product use so that this area of tobacco research can advance quickly.

E-cigarette weight and appetite control beliefs and e-cigarette initiation in young adults.

E-cigarette use has increased among young adults, and emerging research suggests a subset of young adults report using e-cigarettes for appetite control/weight loss. The current article examined the association of e-cigarette weight control beliefs with subsequent e-cigarette initiation. Data were collected via online surveys from a prospective cohort study of young adults in Southern California (N = 1,368) at baseline (May-October 2020; M [SD]age = 21.2 [0.4]) and 6 months later (January-May 2021). Binary logistic regression models were used to evaluate the association of e-cigarette weight control beliefs (i.e., perceptions that e-cigarettes help people lose weight and satisfy hunger and desire to eat unhealthy foods) with new onset e-cigarette use at follow-up. All models were adjusted for sociodemographic characteristics. Among individuals who had never used e-cigarettes at baseline, those who agreed (vs. disagreed) that e-cigarettes help people lose weight had more than three times the odds of initiating e-cigarette use by follow-up (OR [95% CI]: 3.24 [1.52, 6.62]). Similarly, those who agreed (vs. disagreed) that vaping certain e-cigarette flavors help satisfy hunger and desire to eat unhealthy foods had more than twice the odds of initiating e-cigarette use by follow-up (OR [95% CI]: 2.40 [1.15, 4.82]). Findings highlight that e-cigarette weight control beliefs are an important risk factor for vaping initiation. Future interventions and policies aiming to prevent vaping among young adults should address e-cigarette weight control beliefs and long-term health consequences from related use. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Appeal of e-cigarette flavors: Differences between never and ever use of combustible cigarettes.

BACKGROUND: Characterizing the appeal of flavored e-cigarette solutions by tobacco product use status can inform regulations to reduce vaping in those who never smoked without discouraging adopting e-cigarettes as a quit-smoking aid. METHODS: Adults aged 21+ who currently use tobacco products (N = 119) self-administered standardized puffs of eight non-tobacco flavored and two tobacco-flavored e-cigarette solutions using a pod-style device. Participants rated appeal (0-100 scale) following each administration. Mean differences in flavor appeal ratings were compared between four groups: people who never smoked/currently vape, formerly smoked/currently vape, currently smoke/currently vape, and currently smoke/do not vape (with interest in vaping). RESULTS: The Global Flavor (all non-tobacco vs. tobacco)×Group interaction (p = .028) revealed higher appeal for non-tobacco vs. tobacco flavors in adults who never smoked/currently vape (B[95 %CI] = 13.6[4.1-23.1]), formerly smoked/currently vape (B[95 %CI] = 11.6[4.2-18.9]), and currently smoke/currently vape (B[95 %CI] = 9.3[2.5-11.6]), but not adults who currently smoke/never vaped (B[95 %CI] = -0.1[-5.1 to 4.9]). In flavor-specific analyses, adults who never smoked/currently vape rated strawberry (p = .022), peppermint (p = .028), and menthol (p = .028) more appealing than tobacco flavors. Among adults who formerly smoked/currently vape, strawberry (p < .001), peppermint (p = .009), and vanilla (p = .009), were more appealing than tobacco. Adults who currently smoked/currently vape rated peppermint (p = .022) and vanilla (p = .009) as more appealing than tobacco. No non-tobacco flavors were more appealing than tobacco in adults who currently smoke/never vaped. CONCLUSIONS: E-cigarette sales restrictions on non-tobacco flavors, including menthol, may eliminate products preferred by adults who vape, including those who never smoked, without discouraging adults who currently smoke and never vaped from trying e-cigarettes.

Adolescent and Young Adult Response to Hypothetical E-Liquid Flavor Restrictions.

OBJECTIVE: Rates of e-cigarette use among adolescents and young adults (AYAs) remain high despite several federal policy changes intended to limit their availability and appeal. The current study examined how restricting flavors would affect current AYA users' intentions to discontinue vaping, as a function of their current flavor preference. METHOD: In a national cross-sectional survey, AYA e-cigarette users (N = 1,414) completed measures of e-cigarette use, device type, e-liquid flavor (tobacco, menthol, cool mint, fruit ice, fruit/sweet), and intent to discontinue e-cigarette use in response to hypothetical federal product standards (i.e., tobacco and menthol or tobacco-only e-liquid). Logistic regression was used to model the association of preferred flavor with odds of discontinuing e-cigarette use (vs. continuing), for menthol and tobacco hypothetical product standards. RESULTS: Overall, 38.8% of the sample reported intent to discontinue using their e-cigarette if tobacco and menthol-flavored e-liquid were the only options available, whereas 70.8% would discontinue under a tobacco-only product standard. AYAs preferring fruit/sweet flavor were most sensitive to either restricted scenario, with odds of discontinuing use ranging from adjusted odds ratio (aOR) = 2.22 to aOR = 2.38 under a tobacco and menthol product standard and aOR = 1.33 to aOR = 2.59 under a tobacco-only product standard, compared with other flavor preferences. In addition, AYAs using cooling flavors (e.g., fruit ice) reported higher odds of discontinuing use under a tobacco-only product standard, compared with menthol flavor users, indicating an important distinction between these groups. CONCLUSIONS: Results indicate potential for flavor restrictions to reduce use of e-cigarettes among AYAs and suggest that a tobacco flavor product standard may result in the greatest discontinuation of use.