Non-tobacco nicotine E-cigarette use and flavored E-cigarette use among young adults in the United States.

BACKGROUND: E-cigarette flavors can create sensations of sweetness and coolness while masking the aversiveness of nicotine. Recently, non-tobacco nicotine (NTN) products were introduced to the market, but little is known about flavors in NTN e-cigarette use. We examined associations between flavors (i.e., sweet, mint/menthol) and susceptibility to and use of NTN e-cigarettes. METHODS: 1239 US young adults (18-25 years) completed an anonymous, online survey in Fall 2021. The analytic sample included 520 participants who had used e-cigarettes and heard of NTN. Multinomial logistic regression models analyzed associations of flavored e-cigarette use (sweet and mint/menthol) with NTN e-cigarette use status (i.e., current [past-month] use, past [ever but not current] use, susceptible to use, and non-susceptible to use [reference]). RESULTS: Overall, 46.2% of participants reported current NTN use, 14.8% reported past use, 16.7% were susceptible to use, and 22.3% reported no susceptibility. Participants reported dual-use of sweet and mint/menthol NTN e-cigarette flavors (56.5%), sweet flavors use (24.8%), and mint/menthol flavor use (1.7%). Ever dual use of sweet and mint/menthol flavors was associated with current (OR = 9.64, 95%CI: 3.21-28.98) and past NTN e-cigarette use (8.30, [2.10-32.80]). Ever sweet flavor use was associated with current NTN use (3.80, 95%CI: 1.44-10.03) and susceptibility to future use (4.25, [1.53-11.81]). Similar findings were observed for mint/menthol flavors (current: 5.03, [1.41-17.99]; susceptible: 5.65, [1.64-19.51]). CONCLUSION: The use of sweet and mint/menthol flavors was significantly associated with NTN e-cigarette use among US young adults, highlighting the need for ongoing surveillance of flavored NTN e-cigarettes and appropriate regulations to discourage use.

Psychometric Evaluation of the Modified E-cigarette Evaluation Questionnaire for use with High School Adolescents and Young Adults.

INTRODUCTION: The subjective experience of positive and negative effects of e-cigarette use has been shown to relate to e-cigarette use outcomes in adults, but no validated measure of e-cigarette subjective response exists for adolescents and young adults (AYAs). In the current study, the psychometric properties of the Modified E-cigarette Evaluation Questionnaire (MECEQ) were evaluated for use with AYAs. METHODS: 997 AYAs who endorsed using nicotine e-cigarettes at least 4 days per week completed an anonymous, online survey in 2022 (51.1% male; 17.39 [1.88] years old; 33.9% Hispanic; 68% White). Analyses included factor analysis to determine the latent structure of the MECEQ, internal consistency, measurement invariance, between-group differences, and test-criterion relationships with vaping frequency and dependence. RESULTS: The originally-proposed, five-factor structure and a novel four-factor structure were supported, and each subscale was internally consistent. Both models reached scalar invariance for all participant subgroups tested (e.g., sex, daily vaping status), and several between-groups differences were observed. For instance, compared to less frequent vaping, daily vaping was associated with increased Craving Reduction (5-factor), reduced Stimulant Effects (4-factor), and reduced Aversion (5-factor; 4-factor). Adjusted relationships between both MECEQ versions and vaping frequency and dependence provided evidence of concurrent validity. CONCLUSIONS: Similar to adults, a five-factor and four-factor version of the MECEQ were supported and evidenced internal consistency, scalar measurement invariance, and concurrent relationships with vaping frequency and dependence. Moving forward, researchers are encouraged to include the MECEQ in future studies to better understand the importance of subjective response in AYA vaping behavior. IMPLICATIONS: The Modified E-cigarette Evaluation Questionnaire (MCEQ), an e-cigarette-adapted version of the Modified Cigarette Evaluation Questionnaire (MCEQ), recently was validated to assess subjective e-cigarette effects among adults. Here, we demonstrate that the MECEQ can be used among adolescents and young adults (AYAs). The MECEQ can be scored using the original, five-factor MCEQ structure or using a novel, four-factor structure. Both versions were internally consistent, reached scalar measurement invariance, and evidenced concurrent relationships with vaping frequency and dependence. In sum, this study provides the field with the first psychometrically-sound measure of subjective effects of e-cigarette use for use with AYAs.

Development and Psychometric Evaluation of a Novel Measure of Nicotine E-cigarette Withdrawal for use with Adolescents and Young Adults.

INTRODUCTION: Nicotine withdrawal is a well-established construct that prompts continued nicotine product use and contributes to failed cessation efforts. Despite ongoing public health concerns about nicotine e-cigarette use in adolescents and young adults (AYAs), no psychometrically-sound measure of nicotine e-cigarette withdrawal exists for this population. METHODS: A mixed methods approach comprising a literature review to identify existing nicotine withdrawal items; subject matter expert feedback on existing items and novel item generation; cognitive interviews assessing the measure's instructions, items, and response options; and a large quantitative validation survey (N = 997) was employed to develop the novel retrospective measure of nicotine e-cigarette withdrawal. RESULTS: A 25-item solution comprising four subscales - Negative Affect, Negative Physical Symptoms, Craving, and Appetite/Food - and an Overall Withdrawal score was supported. Internal reliability was excellent (mean alpha = 0.91), and scalar measurement invariance was reached for all subgroups tested (e.g., sex, age, exclusive e-cigarette use versus dual tobacco product use, daily versus non-daily nicotine vaping). Overall Withdrawal and its subscales evidenced concurrent validity with time to first vape in the morning, e-cigarette dependence, and previous vaping cessation attempts, although not each subscale was associated with each outcome. Importantly, cross-sectional incremental validity analyses indicated that retrospective withdrawal accounted for variance in each outcome above and beyond e-cigarette dependence. CONCLUSIONS: The novel retrospective AYA Nicotine E-cigarette Withdrawal Scale (AYA NEWS) evidenced strong psychometric properties for use in this population. Future research can determine whether the AYA NEWS can be used to assess acute e-cigarette nicotine withdrawal. IMPLICATIONS: While e-cigarette use remains the most prevalent form of nicotine product use among adolescents and young adults, there are limited options for psychometrically-sound measures of e-cigarette-related constructs in this population. Withdrawal from nicotine is associated with failed cessation attempts and continued use of nicotine-containing products, making it a critical construct within tobacco-related research. This study outlines the development and preliminary psychometric evaluation of a novel, retrospective measure of nicotine e-cigarette withdrawal. Study findings support using the Adolescent and Young Adult Nicotine E-cigarette Withdrawal Scale (AYA NEWS) to assess retrospective withdrawal from nicotine e-cigarettes in young people.

Adolescents and Young Adults Use of Social Media and Following of e-Cigarette Influencers.

BACKGROUND: With high rates of both e-cigarette and social media use among adolescents and young adults (AYAs), social media influencers who promote e-cigarettes are particularly concerning but are understudied. We examined the association between AYAs' use of 11 different social media platforms (e.g. Facebook, Twitter, Instagram, TikTok, and YouTube) and exposure to social media e-cigarette influencers. OBJECTIVES: From November 2022 to February 2023, we conducted an online, US national survey of AYAs (14-29 years) who endorsed past-30-day e-cigarette use. We used binomial logistic regression to examine associations between the frequency of use of each social media platform and following e-cigarette influencers, controlling for age, sex, race, ethnicity, e-cigarette use frequency, and other tobacco and substance use (i.e., alcohol and cannabis). The model was stratified by adolescents (14-17 years; n = 293) and young adults (18-29 years; n = 654). RESULTS: The most frequently used social media platforms were Snapchat, TikTok and Instagram among adolescents, and YouTube, Instagram and TikTok among young adults. In adjusted models, following e-cigarette influencers was associated with more frequent use of TikTok (adjusted odds ratio [95% CI]; 1.33 [1.05, 1.68]) and Pinterest (1.18 [1.02, 1.38]) among adolescents, and more frequent use of Twitter (1.17 [1.06, 1.29]) among young adults. CONCLUSIONS: The use of different platforms was associated with exposure to e-cigarette influencers: TikTok and Pinterest among adolescents and Twitter among young adults. These findings can inform tobacco regulatory policy and social media platform restrictions of e-cigarette influencers on the platforms that are popular among AYAs.

The first nicotine product tried is associated with current multiple nicotine product use and nicotine dependence among a nationally representative sample of U.S. youths.

This study examines the demographic factors associated with youths' first product tried (i.e., cigarettes, e-cigarettes, cigars, hookah, or smokeless tobacco). This study also evaluates whether the first product tried is associated with future nicotine product use (i.e., no use, single product use, and multiple product use) and nicotine dependence. Participants were 1999 youths (ages 12-17 years) who had ever tried a nicotine product and completed the Population Assessment of Tobacco Health study's Wave 1 (2013-2014) and Wave 4 (2016-2018) assessments. Two separate multinomial logistic regression models examined the association between 1) demographic factors and the first product tried at Wave 1 and 2) the first product tried at Wave 1 and past-30-day product use status at Wave 4. A two-part multivariable model examined the association between the first product tried and nicotine dependence, with part 1 modeling the presence (or absence) of any symptom of dependence and part 2 modeling the degree of dependence among those with any symptom of dependence. The first product tried was associated with sex, race, urbanicity, and parent education. First trying smokeless tobacco (vs. e-cigarettes) was associated with a greater likelihood of multiple product use (vs. no use and vs. single product use). Regarding the degree of nicotine dependence (n = 713), first trying smokeless tobacco (vs. e-cigarettes) was associated with higher nicotine dependence scores among those with any symptom of dependence. Youths who first try smokeless tobacco (vs. e-cigarettes) may be at higher risk for future multiple product use and more symptoms nicotine dependence. Research should explore tailored interventions for smokeless tobacco users.

E-cigarette Use Patterns, Flavors, and Device Characteristics Associated With Quitting Smoking Among a U.S. sample of Adults Using E-cigarettes in a Smoking Cessation Attempt.

INTRODUCTION: Many adults who smoke cigarettes use e-cigarettes to try to quit smoking; however, some are not successful. Identifying factors that are associated with successfully quitting smoking using e-cigarettes is important for maximizing cigarette cessation. AIMS AND METHODS: Online survey data were collected in 2021 from 857 adults in the United States who reported using e-cigarettes in a recent attempt to quit smoking. Survey items assessed patterns of e-cigarette use and device characteristics (flavors, device, and nicotine) used when trying to quit smoking. Multivariable linear regression models examined characteristics associated with the longest duration of smoking abstinence when using e-cigarettes to try to quit. RESULTS: The average duration of smoking abstinence when using e-cigarettes during a quit attempt was 65 days (SD = 104). In the multivariable model, greater frequency of e-cigarette use when quitting and abruptly switching to e-cigarettes from cigarettes (vs. gradually reducing) were significantly associated with longer durations of abstinence (p < .001). Preference for non-tobacco (relative to tobacco) flavors and nicotine concentration were not associated with duration of abstinence, although preference for rechargeable pod and mod device types (vs. cig-a-likes) was associated with longer durations of abstinence. CONCLUSIONS: Patterns of e-cigarette use were related to abstinence duration, which may provide guidance for adults who are using e-cigarettes to quit smoking to encourage complete substitution and maximize smoking cessation. Findings indicate that non-tobacco e-cigarette flavors and nicotine strength are not related to longer durations of cessation success for adults, which may inform tobacco regulatory policies limiting these constituents to protect public health. IMPLICATIONS: This study provides important new information about the characteristics of e-cigarettes used during an attempt to quit smoking among adults across the United States and identifies factors associated with quitting success. Patterns of e-cigarette use were associated with longer durations of abstinence. In contrast, few e-cigarette characteristics were associated with abstinence. Although preference for some pod and mod device types was associated with longer abstinence duration compared to earlier cig-a-like devices, preference for non-tobacco (vs. tobacco) flavor and nicotine concentration were not associated with abstinence. Findings may help inform guidance for adults using e-cigarettes to quit smoking and support tobacco regulatory policies.

"Tobacco-free" Nicotine Pouches: Risk Perceptions, Awareness, Susceptibility, and Use Among Young Adults in the United States.

BACKGROUND: Nicotine pouches containing synthetic nicotine or tobacco-derived nicotine (TDN) are available in the United States. Synthetic nicotine pouches are often marketed as "tobacco-free nicotine" (TFN), which may alter risk perceptions and product appeal. This study examined young adults' perceptions of TFN versus TDN pouches and the associations between product perceptions and TFN pouch awareness, susceptibility, and use, respectively. AIMS AND METHODS: In total 630 young adults (18-25 years) completed an online Qualtrics panels survey in 2021. Participants were informed that TFN pouches contain synthetic nicotine as opposed to TDN. Participants reported on comparative risk perceptions for TFN versus TDN pouches and on TFN pouch awareness, susceptibility, and use. Unadjusted between-group comparisons and adjusted binary logistic regressions were run to examine relationships between product perceptions and TFN pouch awareness, susceptibility, and use. RESULTS: Participants were aware of (37.3%), susceptible to (29.2%), or had used TFN pouches (3.8%). In unadjusted comparisons, TFN pouch awareness, susceptibility, and use were associated with disproportionately perceiving TFN pouches as less harmful or otherwise better than TDN pouches. In adjusted models, relationships between favorable perceptions and both TFN pouch awareness and susceptibility remained significant. CONCLUSIONS: The descriptor "tobacco-free" may impact risk perceptions and the appeal of nicotine pouches among young adults. While no direct relationship was observed between TFN perceptions and TFN pouch use in the adjusted model, perceptions remained related to product awareness and susceptibility, which may be linked to future use. Continued surveillance is needed to fully determine how the term "tobacco-free" on product packaging and advertising impacts longitudinal public health outcomes. IMPLICATIONS: Nicotine pouches originally contained TDN. Today, numerous brands of synthetic nicotine pouches, which are often marketed as "tobacco-free," are available on the market. We informed participants that "tobacco-free nicotine" pouches contain synthetic nicotine and examined comparative risk perceptions (i.e. tobacco-free vs. TDN pouches) and TFN pouch awareness, susceptibility, and use. Perceiving tobacco-free nicotine pouches as less harmful than tobacco-derived pouches was associated with product awareness, susceptibility, and use in unadjusted models and with awareness and susceptibility in adjusted models. Restricting the term "tobacco-free" may become necessary if the term inaccurately reduces product risk perceptions or increases product appeal.

Use and Product Characteristics of "Tobacco Free Nicotine" E-Cigarettes Among Young Adults.

INTRODUCTION: E-cigarettes are increasingly being marketed as containing tobacco-free nicotine (TFN). There is no data examining use of TFN e-cigarettes by young adults and how use may differ from non-TFN e-cigarettes. The current study aims to characterize young adult TFN e-cigarette use and examine differences between those who report using TFN and non-TFN e-cigarettes. METHOD: U.S. young adults (18-25) with lifetime e-cigarette use (n = 927) were recruited via online panels in Fall 2021 and answered questions about TFN and non-TFN e-cigarettes. Participants were categorized by lifetime TFN e-cigarette use status (yes vs. no; 34% yes). Bivariate comparisons examined differences in e-cigarette characteristics (device type, flavors, nicotine concentration) between the TFN and non-TFN groups. Binary logistic regression models examined associations between lifetime frequency of vaping (<100 vs. ≥100 times), and other tobacco product, cannabis, and/or alcohol use and lifetime TFN e-cigarette use (yes vs. no). Adjusted models include age, race/ethnicity, vaping onset age, and sex. RESULTS: In multivariable adjusted models, lifetime TFN e-cigarette use was associated with younger age, greater lifetime vaping, and nicotine pouch use. Young adults who used TFN e-cigarettes were more likely to report fruit, mint, menthol, and beverage flavors and know their e-liquid nicotine concentration compared with those who used non-TFN e-cigarettes. CONCLUSION: Among young adults who have used e-cigarettes, more frequent e-cigarette use and use of nicotine pouches, which can also contain TFN, were associated with TFN e-cigarette use. Understanding behaviors and characteristics of those using TFN e-cigarettes is critical to regulation of TFN containing products. IMPLICATIONS: This study characterizes young adults who report experience with tobacco free nicotine (TFN) e-cigarettes and compares them to those who have not used TFN e-cigarettes. Young adults with more frequent e-cigarette use and use of nicotine pouches are more likely to report TFN e-cigarette use.

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.

Including the term 'tobacco-free nicotine' in the nicotine addiction warning label mandated by the US Food and Drug Administration alters risk perceptions and use intentions.

BACKGROUND: The US Food and Drug Administration (FDA) requires a warning label on nicotine e-cigarettes and pouches: 'This product contains nicotine. Nicotine is an addictive chemical'. Some brands marketing synthetic nicotine products have modified the warning ('This product contains tobacco-free nicotine (TFN)…'). The public health impact of altering the warning is unknown, so we examined its impact on risk perceptions and use intentions. METHODS: 1000 participants completed an anonymous online survey. Participants viewed the black-and-white FDA and TFN-modified warning labels in isolation, in a randomised order and reported on perceived addictiveness and, secondarily, use intentions. Participants then selected which label conveyed the most harm overall. Generalised estimating equations (GEEs) were used to evaluate the impact of label type and participant characteristics on perceived addictiveness and, secondarily, use intentions. Multivariable logistic regression was used to evaluate relationships between participant characteristics and choosing which label conveyed the most harm. RESULTS: Overall, the TFN-modified label was associated with lower addictiveness ratings but not increased use intentions. Where significant interactions between label type and participant characteristics emerged, TFN-modified labelling was associated with disproportionately reduced risk perceptions or increased use intentions among vulnerable populations (eg, underage individuals, racially minoritised groups). 25.5% of participants selected the TFN-modified label as conveying the most harm, with younger individuals (<21 years) significantly less likely to choose the TFN-modified label. CONCLUSIONS: Modifying the FDA-mandated nicotine warning label to include 'tobacco-free nicotine' may negatively impact public health, so the FDA should enforce inclusion of its original required warning label.

Curiosity, use, and perceptions of "tobacco-free nicotine" E-cigarettes among U.S. young adults.

This study determined whether young adults perceptions of how tobacco free nicotine (TFN) compared to tobacco-derived nicotine (TDN) were associated with curiosity to try or use TFN e-cigarettes. U.S. young adults aged 18-25 years (n = 1176) completed an online survey in October 2021. Survey questions assessed TFN awareness, curiosity, use, and perceptions of how flavor, taste, ease of access, cost, and harm compared between TFN and TDN. Participants were categorized into 3 groups: not curious to try TFN (n = 511, 43.5%), curious to try TFN (n = 348, 29.6%), and ever used TFN (n = 317, 27%). Multinomial logistic regression measured associations between perceptions and TFN curiosity and use (vs. not curious to try), with total number tobacco products used and demographics as covariates. Compared to young adults who were not curious to try TFN e-cigarettes, those who were curious perceived TFN as less addictive than TDN (aOR = 2.27; 95% CI =1.34-3.86). Those who had used TFN e-cigarettes perceived TFN as having flavors that tasted better (aOR = 1.80; 95% CI = 1.63-1.99), "smoother" (aOR = 1.88; 95% CI =1.18-2.99), and less like tobacco (aOR 1.94; 95% CI 1.23-3.05). Adjusted models did not show differences in perceptions between those who had tried TFN and those who were curious to try TFN. Young adults who were curious to try or had used TFN had more positive perceptions of TFN. As it is currently unclear whether synthetic nicotine carries the same health risks as TDN, ongoing surveillance of TFN uptake among young adults is warranted.

The Modified E-Cigarette Evaluation Questionnaire: Psychometric Evaluation of an Adapted Version of the Modified Cigarette Evaluation Questionnaire for Use With Adults Who Use Electronic Nicotine Delivery Systems.

INTRODUCTION: The subjective experience of positive and negative effects likely contributes to e-cigarette use, and the Modified Cigarette Evaluation Questionnaire (MCEQ) previously has been adapted to assess the reinforcing and aversive effects of vaping. However, the psychometric properties of the MCEQ for use with e-cigarettes have not been established. AIMS AND METHODS: We examined the psychometric properties of the Modified E-cigarette Evaluation Questionnaire (MECEQ) within a sample of 857 adults who recently used e-cigarettes in a smoking cessation attempt (52.4% male; 40.84 [12.25] years old; 62.8% non-Hispanic white; 22.4% daily e-cigarette users). Analyses included confirmatory factor analysis of the original structure, exploratory/confirmatory factor analyses to identify the alternate latent structure(s), internal consistency, measurement invariance, between-group differences, and test-criterion relationships with vaping-related outcomes. RESULTS: The original five-factor structure and a novel four-factor structure were supported. Each was scalar invariant across several participant subgroups (eg, current smoking status, daily vaping status). All multi-item subscales were internally consistent. Both versions detected several between-group differences. For example, current smokers reported stronger aversive effects than did exclusive e-cigarette users. Finally, adjusted relationships between both MECEQ versions and vaping-related outcomes provided evidence for concurrent validity. CONCLUSIONS: The five-factor and four-factor versions of the MECEQ evidenced good-to-excellent internal consistency, scalar measurement invariance, and concurrent relationships with vaping-related outcomes. While both versions could be used to assess subjective vaping effects in adults with histories of cigarette smoking and vaping, additional research is needed to evaluate the applicability of these factor structures to other samples (eg, e-cigarette users with no smoking history, youth). IMPLICATIONS: Although the MCEQ has been adapted in previously published studies to assess the subjective reinforcing and aversive effects of vaping, the psychometric foundation necessary for doing so had not been established. We showed that the MECEQ can be scored using the original five-factor MCEQ format or using a newly identified four-factor structure. Both versions evidenced construct validity, internal consistency, measurement invariance (permitting between-group comparisons), and concurrent validity with vaping-related outcomes. Results strengthen the interpretability of previously published work using the five-factor MCEQ structure and provide an alternative scoring approach for vaping-specific subjective effects.

Novel Nicotine Concentration Labels Improve Adolescents' and Young Adults' Understanding of the Nicotine Strength of Electronic Nicotine Delivery System Products.

INTRODUCTION: E-cigarette liquid nicotine concentrations typically are labeled as mg/mL or percent, which poorly convey nicotine strength to users. We evaluated whether four novel nicotine concentration labels better convey information about nicotine strength and addictiveness. METHODS: Adolescents and young adults (N = 826) completed an online survey in 2020. Participants rated nicotine concentrations (3, 6, 18, 30, 40, and 50 mg/mL) from "no nicotine" to "very high nicotine" communicated using current market labels (mg/mL, percent) and four new labels (text-based, caution sign-shaped, horizonal stoplight, vertical thermometer) which used color, symbols, and verbal strength descriptors. Participants reported on perceived addictiveness for all labels viewed and rank-ordered labels on perceived ability to convey information accurately. RESULTS: Participants ranked the vertical (77%) and horizontal (70%) labels in first or second place and mg/mL (59.1%) and percent (47.2%) in last or second-to-last place. All new labels conveyed nicotine strength more accurately than did market labels (M[SD] correct of 6: percent = 1.50[1.08]; mg/mL = 2.14[1.52]; caution = 5.23[1.37]; vertical thermometer = 5.28[1.51]; text = 5.33[1.36]; horizontal stoplight = 5.47[1.14]), with the horizontal label also outperforming the thermometer and caution labels. Underestimating nicotine strength was uncommon among all new labels (4.7-6.8%). The new labels also were associated with increased perceived addictiveness at higher concentrations (30, 40, and 50 mg/mL), although the thermometer label underperformed the others. When considering perceived nicotine strength, rates of strength underestimates, perceived addictiveness, and rank ordering, the horizontal stoplight label performed best. CONCLUSIONS: Novel labeling could improve understanding of nicotine strength and e-cigarette-related risk. IMPLICATIONS: Extending prior research showing that adolescents and young adults who use Electronic Nicotine Delivery Systems (ENDS) have difficulty understanding nicotine concentrations labeled using mg/mL and percent nicotine, the current study demonstrates that novel nicotine concentration labels can improve understanding of nicotine strength and influence perceptions of addictiveness among young ENDS users. While four novel labels were tested, each outperforming current market labeling, the novel label that resembles a horizontal stoplight performed best. The study provides proof-of-concept that creating an easy-to-understand nicotine concentration label is possible and that new labeling better conveys information about nicotine strength and addictiveness.

Psychometric Evaluation of the Short-Form Vaping Consequences Questionnaire for Use With High School Adolescents Who Use and Do Not Use E-cigarettes.

INTRODUCTION: Assessing youth vaping expectancies using a psychometrically sound measure can improve understanding of e-cigarette susceptibility and use. AIMS AND METHODS: We evaluated the psychometric properties of the Short-Form Vaping Consequences Questionnaire (SF-VCQ), an expectancy measure previously validated with adults, within a sample of 1753 high school adolescents who completed an online, school-based survey in Fall 2020 (51.6% female; 15.56 [1.22] years old; 46.6% non-Hispanic white; 26.9% reported lifetime but no past-30-day vaping; 12.6% reported past-30-day vaping). Analyses included confirmatory factor analysis, internal consistency, measurement invariance, between-group differences, and test-criterion relationships. RESULTS: The four-factor structure was confirmed and was scalar invariant by lifetime and past-month vaping status, sex, and race. All subscales were internally reliable (mean α = 0.94). The subscales were sensitive to differences based on sex, race, vaping susceptibility among never users, and lifetime and past-month vaping status. For example, students who vaped in the past-month held weaker expectancies for negative consequences but stronger expectancies for positive reinforcement, negative reinforcement, and appetite/weight control compared to lifetime vapers. Unadjusted relationships within the subsamples of lifetime and past-month vapers provided evidence of convergent validity. Evidence for concurrent validity was observed for all samples after accounting for covariates. For example, expectancies for positive reinforcement, negative reinforcement, and appetite/weight control remained significantly associated with past-month vaping frequency. CONCLUSIONS: The SF-VCQ evidenced excellent internal reliability, scalar measurement invariance, and construct, convergent, and concurrent validity in samples of never, lifetime, and past-month adolescent e-cigarette users. Findings support using the SF-VCQ for assessing youths' vaping-related expectancies. IMPLICATIONS: The current study established the psychometric properties of the SF-VCQ for use among adolescents with and without vaping experience, including measurement invariance that permits direct comparisons of expectancies across these two groups. When considered in concert with previously published research in adults, the SF-VCQ provides researchers with a measure that can be used with both youth and adult samples. Observed relationships between positive expectancies and vaping susceptibility in vaping naïve youth and indices of vaping frequency in youth with vaping experience suggest that challenging positive expectancies may be a valuable addition to prevention and intervention efforts to reduce youth vaping.

Examining associations of e-cigarette flavour restrictions with e-cigarette use and success quitting smoking among US adults.

INTRODUCTION: Restricting available e-cigarette flavours to only tobacco and menthol may reduce appeal among youth; it is unknown how flavour restrictions impact adults using e-cigarettes to quit smoking cigarettes. METHODS: Online US survey data were collected in summer 2021 from 857 adults who reported using e-cigarettes in a recent attempt to quit smoking. Survey items assessed e-cigarette flavours used during their quit attempt, whether e-cigarette flavour bans restricted access to flavours they like, and what impact the restrictions had on e-cigarette behaviour. Multivariable logistic regression models were used to examine the associations of flavour bans with success quitting smoking for 1 month or longer. RESULTS: 30.2% (N=259) reported restricted access to e-cigarette flavours they like. During their quit attempt, 64.9% (N=168) used tobacco or menthol-flavoured e-cigarettes, and 90.7% (N=235) used another flavour that could be affected by restrictions, most commonly fruit, mint, and candy/dessert. Responses to flavour restrictions included switching devices to continue using preferred flavours (39.4%), using the same device only with available flavours (35.9%), buying preferred flavours elsewhere (eg, online) (19.3%), making flavours (3.5%) and 'other' (eg, no longer using e-cigarettes) (1.9%). The odds of quitting smoking for 1 month or longer were not significantly different between those experiencing flavour restrictions (vs not), preferring tobacco/menthol (vs restricted) flavour, or switching flavours in response to the bans (vs finding another way to obtain restricted flavours) (p>0.11). CONCLUSION: Experiencing e-cigarette flavour restrictions was not associated with success quitting smoking among adults using e-cigarettes to try to quit.

Adolescents and Young Adults Have Difficulty Understanding Nicotine Concentration Labels on Vaping Products Presented as mg/mL and Percent Nicotine.

INTRODUCTION: E-cigarette e-liquid nicotine concentrations typically are labeled as mg/mL or percent nicotine. We examined whether these metrics accurately convey nicotine strength to young e-cigarette users and if youth can compare concentrations presented in mg/mL and percent nicotine. AIMS AND METHODS: Eight hundred and twenty-one adolescent and young adult e-cigarette users participated in the survey. Participants rated nicotine concentration strengths presented as mg/mL (0-60 mg/mL) and percent nicotine (0%-6%) from "no nicotine" to "very high nicotine." Participants also viewed pairs of nicotine concentrations (eg, 18 mg/mL vs. 5%) and indicated which concentration was stronger or if the concentrations were equivalent. RESULTS: On average, participants correctly identified 5.92 (2.68) of 18 nicotine strengths, correctly identifying strengths labeled as mg/mL (3.47 [2.03]) more often than percent nicotine (2.45 [1.38], p < .001). Excluding nicotine-free, participants rated concentrations presented as mg/mL as stronger, more addictive, and more harmful than equivalent concentrations presented as percent nicotine. Participants seldom correctly identified that one concentration was stronger or that both were equivalent (7.58 [5.88] of 19 pairings), although they more often correctly identified the stronger concentration when it was presented in mg/mL (4.02 [SD = 3.01]) than in percent nicotine (2.53 [2.73], p < .001). The most consistent predictor of correct answers on these tasks was familiarity with using both products labeled as mg/mL and labeled as percent nicotine. CONCLUSIONS: Young e-cigarette users had difficulty understanding nicotine concentrations labeled using the most common metrics, raising concerns about inadvertent exposure to high nicotine levels and suggesting that a more intuitive labeling approach is needed. IMPLICATIONS: This study extends prior work showing that young e-cigarette users often are uncertain whether the e-liquids they use contain nicotine by demonstrating that adolescents and young adults have difficulty understanding nicotine concentrations labeled using the two most common metrics (mg/mL and percent nicotine). Errors generally underestimated nicotine strength, and users were not able to accurately compare nicotine concentrations presented as mg/mL and percent nicotine. Difficulty understanding labeling metrics persisted even after accounting for user characteristics like age and vaping experience, suggesting that a novel, easy to understand labeling system is needed to convey information about nicotine strength accurately.

Differences in JUUL Appeal Among Past and Current Youth JUUL Users.

INTRODUCTION: JUUL, a closed system e-cigarette with disposable pods, is popular among youth, with positive attributes of this product linked to current use by youth. However, many youth try JUUL and do not continue using; understanding differences in the appeal of this device between current users and those who chose not to continue use can inform regulation and prevention efforts. The aim of the current study is to compare JUUL appeal in youth among past users (ie, used, but not in past month) and current users (ie, used in past month). METHODS: A cross-sectional survey was conducted in four Connecticut high schools in Spring 2018. This survey assessed JUUL use and reasons for liking/disliking JUUL, including its' pharmacological effects (eg, nicotine "buzz"), product characteristics (eg, flavors), peer influence, appeal compared to other e-cigarettes, and concealability. Logistic regressions were conducted to examine differences in liking/disliking JUUL by use status (past vs. current). RESULTS: Among JUUL users (N = 1374; 43% of total sample), 30.4% were past users and 69.6% were current users. Compared to current users, past users were less likely to like JUUL for positive pharmacological effects (eg, nicotine "buzz"), product characteristics (eg, flavors), and peer use and more likely to dislike JUUL for the adverse pharmacological effects (eg, headache), product characteristics (eg, flavors), and for "other" reasons (open-ended response; eg, perceived harm). CONCLUSIONS: Findings suggest that altering JUUL appeal through regulating nicotine content and flavors may be key in policy aimed at shifting youth to become past JUUL users. IMPLICATIONS: This study investigates how current and past youth JUUL users differ in their report of the appeal of JUUL. Past users are less likely to report experiencing positive pharmacological effects and product characteristics of JUUL and are less likely to report appeal due to peer use. Understanding how appeal of JUUL may differ among past and current users can aid in our understanding of how to regulate these products so that they are less appealing to current youth users.

Marketing Content on E-Cigarette Brand-Sponsored Facebook Profile Pages.

INTRODUCTION: E-cigarettes are marketed on brand-sponsored Facebook profile pages despite Facebook's policy to prohibit e-cigarette marketing on their platform. We aimed to identify e-cigarette marketing strategies used and products marketed on brand-sponsored Facebook profiles and assess whether these strategies and featured products differ by user engagement. METHODS: We examined up to 10 recent Facebook posts on 26 e-cigarette brand-sponsored profile pages uploaded between August 1 and November 31, 2016. We identified positive engagement (i.e. "like," "love"), negative engagement (i.e. "sad," "angry"), post type (e.g. link, photo), type of sales promotion (e.g. giveaways, discounts), non-sales promotion (e.g. event promotion without product marketing), and marketed products (e.g. e-cigarettes, e-liquids). RESULTS: We examined 225 Facebook posts. Engagement was modest (e.g. Median "likes" = 8 [Min = 0, Max = 591]). The most common post types were photos (52.6%) and links (35.5%). Of all links, 83.7% were links to online shops. Of all posts, 35.0% had overt sales promotional content, 32.0% featured non-sales promotional content, and 68.0% featured an e-cigarette product. The most commonly featured product was an e-cigarette device (50.6%). Posts with more positive engagement included giveaways (versus sales [p = 0.009]) and posts marketing vaping devices (versus e-liquids [p = 0.004)]). Negative engagement was not associated with marketing strategies or products. Of the brand-sponsored profile pages, 42.3% could be accessed by underage users. DISCUSSION: E-cigarettes are marketed on Facebook using a variety of promotional strategies. Importantly, underage youth often can access this marketing content. Comprehensive tobacco control policies that restrict e-cigarette marketing on social media are needed urgently.

The Association of Impulsivity and Family History of Alcohol Use Disorder on Alcohol Use and Consequences.

BACKGROUND: Extensive research indicates that having a positive family history of alcohol use disorder (FHP) and impulsivity are 2 risk factors for problem drinking. To our knowledge, no study has investigated which facets of impulsivity interact with family history to increase risk for problem drinking. The goal of this study was to: (i) examine whether FHP individuals with higher levels of impulsivity are more likely to engage in problematic drinking, and (ii) identify which facets of impulsivity interact with FHP to increase risk for problems. METHODS: The data consisted of a combined sample of 757 participants (50% female, 73% White, mean age = 32.85, SD = 11.31) drawn from the Transdisciplinary Tobacco Use Research Center and the Center for the Translational Neuroscience of Alcohol. Analyses of covariance and cumulative logistic regression models investigated the association of family history and impulsivity-related traits with drinking quantity, frequency, and alcohol-related problems. Models were adjusted for age, sex, race, ethnic group, education level, and data source. RESULTS: Significant interactions between impulsivity and family history were found for measures of alcohol-related problems. Specifically, there was a stronger positive association of Barratt Impulsiveness Scale (BIS) poor self-regulation with interpersonal, F(1, 504) = 6.27, p = 0.01, and impulse control alcohol-related problems, F(1, 504) = 6.00, p = 0.01, among FHP compared to FHN individuals. Main effects of family history and impulsivity on alcohol quantity and frequency of use and problems were also found. CONCLUSIONS: These findings suggest that having both a family history of AUD and high BIS poor self-regulation is more strongly associated with alcohol-related consequences in the interpersonal and impulse control domains. Given the heterogeneity of impulsivity, these findings highlight the need for additional research to examine which facets of impulsivity are associated with which alcohol outcomes to narrow phenotypic risk for alcohol misuse.

Two-part models for repeatedly measured ordinal data with "don't know" category.

Ordinal data (eg, "low," "medium," "high"; graded response on a Likert scale) with an additional "don't know" category are frequently encountered in the medical, social, and behavioral science literature. The handling of a "don't know" option presents unique challenges as it often "destroys" the ordinal nature of the data. Commonly, nominal models are employed which ignore the partial ordering and have a complicated interpretation, especially in situations with repeatedly measured outcomes. We propose two-part models that easily accommodate longitudinal partially ordered (semiordinal) data. The most easily interpretable formulation consists of a random effect logistic submodel for "don't know" vs all the other categories combined, and a random effect ordinal submodel for the ordered categories. Correlated random effects account for statistical dependence within individual. An extension allowing for nonproportionality of odds for the predictor effects in the ordinal submodel is also considered. Maximum likelihood estimation is performed using adaptive Gaussian quadrature in SAS PROC NLMIXED. A simulation study is performed to evaluate the performance of the estimation algorithm in terms of bias and efficiency, and to compare the results of joint and separate models of the two parts, and of proportional and nonproportional model formulations. The methods are motivated and illustrated on a dataset from a study of adolescents' perceptions of nicotine strength of JUUL e-cigarettes. Using the proposed approach we show that adolescents perceive 5% nicotine content as relatively low, a misconception more pronounced among past month nonusers than among past month users of JUUL e-cigarettes.