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Introduction: Much of the population-based e-cigarette use and cigarette cessation literature is restricted to smokers who have expressed intention to quit smoking, though experimental studies suggest e-cigarette use might motivate some smokers to change their quit intentions. We used U.S. nationally representative data to evaluate whether e-cigarette use by smokers initially not planning to ever quit is associated with change in plans to quit., Methods: Longitudinal Population Assessment of Tobacco and Health (PATH) Study data collected between 2014 and 2019 were analyzed. Main analyses were conducted among adult daily cigarette smokers not currently using e-cigarettes with no plans to ever quit smoking (n = 2366 observations from n = 1532 individuals). Generalized estimating equations were used to evaluate the association between change in e-cigarette use and change in plans to quit smoking within the next six months, over three assessment pairs., Results: Daily cigarette smokers with no plans to quit had a higher rate of change to plan to quit if at follow-up they used e-cigarettes daily (41.4%, 95% CI: 27.1-57.3%) versus not at all (12.4%, 95% CI: 10.6-14.5%; aOR = 5.7, 95% CI: 2.9-11.2). Rate of change to plan to quit did not statistically differ between those who at follow-up used e-cigarettes some days versus not at all., Conclusions: Among adult daily cigarette smokers initially not planning to ever quit, subsequent daily e-cigarette use is associated with subsequent plans to quit smoking. Population-level research on e-cigarette use that is focused on smokers already motivated to quit may limit a complete evaluation of the smoker population., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Objective: To determine if the declining trend in U.S. youth cigarette smoking changed after e-cigarettes were introduced, and if youth e-cigarette users would have been likely to smoke cigarettes based on psychosocial and demographic predictors of smoking., Methods: An interrupted time series analysis was used for cross-sectional data from the 2004 to 2018 National Youth Tobacco Surveys (NYTS) to assess changes in cigarette and e-cigarette use over time. A multivariable logistic regression model used 2004-2009 NYTS data on psychosocial risk factors to predict individual-level cigarette smoking risk from 2011 to 2018. Model-predicted and actual cigarette smoking behavior were compared., Results: The decline in current cigarette smoking slowed in 2014 (-0.75 [95% CI: -0.81, -0.68] to -0.26 [95% CI: -0.40, -0.12] percentage points per year). The decline in ever cigarette smoking accelerated after 2012 (-1.45 [95% CI: -1.59, -1.31] to -1.71 [95% CI: -1.75, -1.66]). Ever and current combined cigarette and/or e-cigarette use declined during 2011-2013 and increased during 2013-2014 with no significant change during 2014-2018 for either variable. The psychosocial model estimated that 69.0% of current cigarette smokers and 9.3% of current e-cigarette users (who did not smoke cigarettes) would smoke cigarettes in 2018., Conclusions: The introduction of e-cigarettes was followed by a slowing decline in current cigarette smoking, a stall in combined cigarette and e-cigarette use, and an accelerated decline in ever cigarette smoking. Traditional psychosocial risk factors for cigarette smoking suggest that e-cigarette users do not fit the traditional risk profile of cigarette smokers., (Published by Elsevier Inc.)

Purpose: The purpose of this study was to compare characteristics of usual JUUL users versus other electronic nicotine delivery systems (ENDS) users, examine differences in reasons for use and perceptions across ENDS user groups, and identify significant correlates of usual JUUL use., Methods: This study used data from 510 young adult ENDS users (ages 18-29 years) from Wave 7 (Spring 2018) of the Marketing and Promotions Across Colleges in Texas Project (Project M-PACT). Chi-Square analyses, independent t-tests, and mixed-effects logistic regression analyses were conducted to identify factors associated with usual JUUL use. Four separate regression analyses were conducted based on independent variables of interest; all models included demographics and ENDS/other tobacco use behaviors as covariates., Results: Compared with other ENDS users, usual JUUL users were more likely to be male, younger, smoke cigarettes, reported a higher socioeconomic status (SES), used ENDS on more days in the past 30 days, and reported nicotine "hit" as a reason for use. Usual JUUL users had a higher prevalence of perceiving JUUL/pod vapes as addictive compared with other ENDS users, although perceived addictiveness was not significant in the multivariable models nor were the cessation and dependence measures different between ENDS user groups., Conclusions: Results highlight concerns about the dual use of JUUL and cigarettes and raise additional concerns about the high nicotine concentration of JUUL. Future longitudinal research is needed to determine if usual JUUL users are more likely to develop symptoms of nicotine dependence compared with other ENDS users., (Copyright © 2019 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.)

Importance: The prevalence of e-cigarette use among US youth increased from 2011 to 2018. Continued monitoring of the prevalence of e-cigarette and other tobacco product use among youth is important to inform public health policy, planning, and regulatory efforts., Objective: To estimate the prevalence of e-cigarette use among US high school and middle school students in 2019 including frequency of use, brands used, and use of flavored products., Design, Setting, and Participants: Cross-sectional analyses of a school-based nationally representative sample of 19 018 US students in grades 6 to 12 participating in the 2019 National Youth Tobacco Survey. The survey was conducted from February 15, 2019, to May 24, 2019., Main Outcomes and Measures: Self-reported current (past 30-day) e-cigarette use estimates among high school and middle school students; frequent use (≥20 days in the past 30 days) and usual e-cigarette brand among current e-cigarette users; and use of flavored e-cigarettes and flavor types among current exclusive e-cigarette users (no use of other tobacco products) by school level and usual brand. Prevalence estimates were weighted to account for the complex sampling design., Results: The survey included 10 097 high school students (mean [SD] age, 16.1 [3.0] years; 47.5% female) and 8837 middle school students (mean [SD] age, 12.7 [2.8] years; 48.7% female). The response rate was 66.3%. An estimated 27.5% (95% CI, 25.3%-29.7%) of high school students and 10.5% (95% CI, 9.4%-11.8%) of middle school students reported current e-cigarette use. Among current e-cigarette users, an estimated 34.2% (95% CI, 31.2%-37.3%) of high school students and 18.0% (95% CI, 15.2%-21.2%) of middle school students reported frequent use, and an estimated 63.6% (95% CI, 59.3%-67.8%) of high school students and 65.4% (95% CI, 60.6%-69.9%) of middle school students reported exclusive use of e-cigarettes. Among current e-cigarette users, an estimated 59.1% (95% CI, 54.8%-63.2%) of high school students and 54.1% (95% CI, 49.1%-59.0%) of middle school students reported JUUL as their usual e-cigarette brand in the past 30 days; among current e-cigarette users, 13.8% (95% CI, 12.0%-15.9%) of high school students and 16.8% (95% CI, 13.6%-20.7%) of middle school students reported not having a usual e-cigarette brand. Among current exclusive e-cigarette users, an estimated 72.2% (95% CI, 69.1%-75.1%) of high school students and 59.2% (95% CI, 54.8%-63.4%) of middle school students used flavored e-cigarettes, with fruit, menthol or mint, and candy, desserts, or other sweets being the most commonly reported flavors., Conclusions and Relevance: In 2019, the prevalence of self-reported e-cigarette use was high among high school and middle school students, with many current e-cigarette users reporting frequent use and most of the exclusive e-cigarette users reporting use of flavored e-cigarettes.

Introduction: Hookah use is particularly prevalent among U.S. college students; however, few studies have investigated whether hookah use is a risk factor for the initiation of other tobacco products. This study examined whether hookah use predicted subsequent initiation of other combustible tobacco products (conventional cigarettes and cigar products) and Electronic Nicotine Delivery Systems (ENDS) among Texas college students during a 2.5-year study period., Methods: This study involved a longitudinal analysis of data from Waves 1-6, with 6 months between each wave, of the Marketing and Promotions Across Colleges in Texas Project (Project M-PACT). Two separate multilevel discrete-time survival analyses were used to model the associations between past 30-day hookah use and subsequent initiation of 1) other combustible tobacco products, and 2) ENDS during the 2.5 year study period, after controlling for demographic, other tobacco use, and risk-taking personality characteristics (i.e. sensation seeking and impulsivity)., Results: After controlling for covariates, past 30-day hookah use was associated with significantly higher odds of subsequent initiation of other combustible tobacco products. Past 30-day hookah use also predicted subsequent initiation of ENDS after controlling for covariates., Conclusions: This study is one of the first to demonstrate that hookah use is a predictor of subsequent initiation of other combustible tobacco products and ENDS among college students. These findings suggest that hookah may prime individuals to use other tobacco products, which has important implications for prevention programs and future research., (Copyright © 2018. Published by Elsevier Ltd.)

Objective : The purpose of this study is to examine differences between current and non-current cigarette users, focusing on sociodemographic factors, non-cigarette tobacco product use, parental and friend use, and alcohol and marijuana use; and to identify predictors of cigarette use sixmonths later. Participants : Participants included young adults (n = 4,296) from 24 Texas colleges, participating in a young adult cohort study, beginning in fall 2014. Methods : Mixed effects logistic regressions were conducted accounting for school-level variability. Results : Cigarette users were older, more likely to report use of non-cigarette tobacco products and peer use of cigarettes than non-current users. Wave 1 cigarette and non-cigarette tobacco product use, marijuana use and binge drinking, and peer use all uniquely predicted cigarette use at wave 2. Conclusions : Colleges need prevention programs targeting multiple tobacco products, because non-cigarette tobacco use and other risky behaviors appear to be independent risk factors for cigarette use in young adults.

Introduction: The potential of e-cigarettes to elicit symptoms of nicotine dependence has not been adequately studied, particularly in adolescent populations. The present study examined the prevalence of e-cigarette-specific symptoms of nicotine dependence ("symptoms of e-cigarette dependence") and the associations between these symptoms, e-cigarette usage group, and e-cigarette cessation-related items among Texas adolescents., Methods: This study involved a cross-sectional analysis of adolescents from Wave 4 of the Texas Adolescent Tobacco and Marketing Surveillance System (TATAMS) (n = 2891/N = 461,069). Chi-Square analyses examined differences in the prevalence of symptoms of dependence by e-cigarette usage group (exclusive versus dual users of e-cigarettes and combustible tobacco products) and demographic characteristics. Weighted multivariable logistic regression analyses examined the associations between symptoms of e-cigarette dependence, e-cigarette usage group, and e-cigarette cessation items., Results: Exclusive e-cigarette users experienced symptoms of e-cigarette dependence, although the prevalence of most of the symptoms was higher for dual users. Adolescents who reported more symptoms of dependence were less likely to report both wanting to quit e-cigarettes and a past-year quit attempt for e-cigarettes (adjusted odds ratio "AOR" = 0.61 (95% CI = 0.41, 0.92) and AOR = 0.52 (95% CI = 0.30, 0.92), respectively)., Conclusions: This study is the first to demonstrate that adolescent e-cigarette users are experiencing symptoms of dependence specific to e-cigarettes. In addition, symptoms of dependence may be barriers to e-cigarette cessation. Future research is needed to determine if characteristics of e-cigarette use (e.g. frequency and intensity) are associated with dependence., (Copyright © 2018. Published by Elsevier Ltd.)

Measuring perceptions associated with e-cigarette use can provide valuable information to help explain why youth and adults initiate and continue to use e-cigarettes. However, given the complexity of e-cigarette devices and their continuing evolution, measures of perceptions of this product have varied greatly. Our goal, as members of the working group on e-cigarette measurement within the Tobacco Centers of Regulatory Science (TCORS) network, is to provide guidance to researchers developing surveys concerning e-cigarette perceptions. We surveyed the 14 TCORS sites and received and reviewed 371 e-cigarette perception items from seven sites. We categorized the items based on types of perceptions asked, and identified measurement approaches that could enhance data validity and approaches that researchers may consider avoiding. The committee provides suggestions in four areas: (1) perceptions of benefits, (2) harm perceptions, (3) addiction perceptions, and (4) perceptions of social norms. Across these 4 areas, the most appropriate way to assess e-cigarette perceptions depends largely on study aims. The type and number of items used to examine e-cigarette perceptions will also vary depending on respondents' e-cigarette experience (i.e., user vs. non-user), level of experience (e.g., experimental vs. established), type of e-cigarette device (e.g., cig-a-like, mod), and age. Continuous formative work is critical to adequately capture perceptions in response to the rapidly changing e-cigarette landscape. Most important, it is imperative to consider the unique perceptual aspects of e-cigarettes, building on the conventional cigarette literature as appropriate, but not relying on existing conventional cigarette perception items without adjustment., (Copyright © 2017 Elsevier Ltd. All rights reserved.)

Introduction: Sensation seeking is strongly associated with cigarette use in adolescents. However, few studies have investigated its relationship with adolescent e-cigarette use. This study examined cross-sectional and longitudinal associations between sensation seeking and a variety of e-cigarette use behaviors among Texas adolescents., Methods: This study utilized two waves of data collected 6months apart through the Texas Adolescent Tobacco and Marketing Surveillance System (TATAMS) in 2014-2015 (n=2,488/N=461,069). TATAMS employs a complex probability-sampling design and is representative of students in 6th, 8th and 10th grades from five counties surrounding the four largest cities in Texas (Houston, Dallas/Ft. Worth, San Antonio, Austin). Weighted multivariable logistic regression was used to examine the cross-sectional and longitudinal associations between sensation seeking and susceptibility to e-cigarette use, ever e-cigarette use, and current (past 30day) e-cigarette use., Results: In the cross-sectional analyses, higher mean sensation seeking scores were associated with higher odds of both susceptibility to e-cigarette use and ever e-cigarette use (AOR=1.25, 95% CI=1.07, 1.47; AOR=1.24, 95% CI=1.08, 1.43, respectively). For the longitudinal analyses, only the association between higher mean sensation seeking scores and transition to ever e-cigarette use remained statistically significant (AOR=1.45, 95% CI=1.01, 2.08). There were no significant associations between sensation seeking and current e-cigarette use in either the cross-sectional or longitudinal analyses., Conclusions: Higher sensation seeking scores were consistently and significantly related to experimentation with e-cigarette use among Texas adolescents. Future interventions (e.g., communication campaigns) should target high sensation seeking adolescents to reduce initiation of e-cigarette use among this population., (Copyright © 2017. Published by Elsevier Ltd.)