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Introduction: The use of e-cigarette and other vaping devices have become popular among youth in US. In addition to nicotine, vaping devices can be used to vaporize marijuana. However, factors associated with vaping marijuana among youth remain unexplored. This study examined the rates of vaping marijuana and its correlates among youth in the US., Methods: We conducted a cross-sectional analysis of survey data from the 2018 National Youth Tobacco Survey of middle-and high-schoolers who provided information regarding ever use of vaping devices to vape marijuana (n = 10,680). Multivariable regression model was conducted to assess factors associated with vaping marijuana., Results: Overall, 26.2 % of participants reported ever vaping marijuana. High-schoolers [vs middle-schoolers; aOR = 2.16,95 %CI:1.76-2.67], Hispanics [vs Whites; aOR = 2.30,95 %CI:1.90-2.80], and Blacks [vs Whites; aOR = 1.42,95 %CI:1.04-1.92] were more likely to ever vape marijuana. Those who perceived e-cigarette as equally addictive to cigarettes, were less likely to ever vape marijuana [aOR = 0.79, 95 %CI:0.65-0.97]. In addition, those who reported ever trying cigarettes [aOR = 1.63,95 %CI:1.29-2.06], cigars [aOR = 2.62, 95 %CI:2.08-3.30], or hookah [aOR = 2.88,95 %CI:2.14-3.89] were more likely to ever vape marijuana. Lifetime frequency of e-cigarette use was associated with greater odds of ever vaping marijuana (p-values <0.001)., Conclusion: Large numbers of youth in the US have ever vaped marijuana. Our findings indicate that sociodemographic characteristics, tobacco product use, frequency of e-cigarette use are important factors associated with vaping marijuana. Tobacco control campaigns targeted at curbing the use of e-cigarette and other vaping devices among youth in the US should be extended to address vaping substances other than nicotine such as marijuana., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Background: Waterpipe tobacco smoking (WTS) has surged globally among young people and causes nicotine dependence (ND). No existing ND instruments are sensitive to waterpipe-specific features of ND and early stages of use., Methods: We conducted a psychometric scale evaluation among 192 current waterpipe smokers, initially averaging 15 years of age, recruited from schools in Beirut, Lebanon, and assessed 4 times, 6 months apart. Twenty eight self-report items tapping multiple features of ND were submitted to exploratory and confirmatory factor analyses (EFA and CFA) to reduce items and verify factor structure. Convergent validity was assessed with the Lebanese Waterpipe Dependence Scale and the Hooked on Nicotine Checklist, and discriminant validity with the Depressive Symptom Scale and Adolescent Life Events Stress Scale. Concurrent and predictive validity measures included smoking status and intensity (amount, frequency, session duration, and change in frequency), quitting interest and success, perceived addiction, and smoking alone., Results: The EFA yielded a single factor, 13 item solution (named the Syrian Center for Tobacco Studies [SCTS]-13) that explained 91% of variance in responses, was internally consistent (Cronbach's alpha and McDonald's omega = 0.87), and captured several positive reinforcement, negative reinforcement, and social/sensory-related features of ND. The CFA indicated good model fit. The SCTS-13 showed acceptable convergent and discriminant validity. Higher SCTS-13 scores predicted current waterpipe and dual (waterpipe and cigarette) smoking, greater intensity of use, less interest in quitting, shorter duration of abstinence, greater perceived addiction, and smoking alone (vs. socially)., Conclusion: The SCTS-13 is a promising brief, waterpipe-specific ND instrument., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Background and Aims: Building on published work 1 establishing concurrent validity of a self-report tobacco dependence (TD) index among users of different tobacco products in Wave 1 (W1) of the Population Assessment of Tobacco and Health (PATH) Study, the current study examines prospective relationships with tobacco use behaviors to establish predictive validity of the TD index. Hypotheses suggested high levels of W1 TD would be associated with persistent tobacco use at Wave 2 (W2)., Participants: A U.S. nationally representative sample of 32,320 adult W1 and W2 interviews focused on 11,615 W1 adults who were current established tobacco users and completed the W2 interview., Findings: Higher TD scores and greater changes in TD scores were associated with greater quantity and frequency of tobacco use at the W2 interview for Cigarette Only (n = 7068), Smokeless (smokeless or snus pouches) Only (n = 772), Cigarette plus E-Cigarette (n = 592), and Multiple Products (n = 1866) users, although not significantly so for E-Cigarette Only (n = 367), Cigar Only (traditional, cigarillo, or filtered) (n = 584), or Hookah Only (n = 366) users. Higher TD was associated with decreased odds of successful quitting for Cigarette and Multiple Product users. Higher TD was associated with increased odds of a quit attempt for those in the Hookah and Multiple Products user groups and was not associated with quit attempts or deceased odds of quit success among exclusive E-Cigarette, Cigar, Smokeless and Cigarette plus E-Cigarette users., Conclusion: Support for the predictive validity of the PATH Study measures of adult TD will enable regulatory investigations of TD across several tobacco products., Competing Interests: Declaration of Competing Interest Dr. Cummings has served on a 1-time advisory committee for Pfizer to help them find ways to promote smoking cessation in health care settings and continues to serve as an expert witness on behalf of plaintiffs in litigation against cigarette companies. Dr. Cummings has no other financial links whatsoever to a cigarette company, or other tobacco manufacturer. All other authors declare no conflicts of interest., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Background: Waterpipe smoking is spreading worldwide, and it is associated with many adverse effects. The aim of this study was to investigate the interaction of waterpipe smoking puffing topography, and related physiological measures, with both gender and level of dependence on waterpipe., Method: Exclusive waterpipe smokers were asked to smoke a single waterpipe session in a specialized laboratory while their smoking topography, and in-breath CO level were recorded pre- and post- smoking. Waterpipe dependence was measured using the LWDS-11 scale., Results: In the high dependence group, the total number of puffs, was greater in men than women. In addition, the average flow rate was greater in men with high compared to low dependence. For inter-puffing intervals, greater values were recorded in men and women with low versus high dependence. No other differences were found between the subgroups in total session time, average puff duration, average puff volume, and maximum flow rate. Pre-smoking CO content and CO boost were greater in men versus women in both dependence groups. Post-smoking CO content was greater in women with high versus low dependence, whereas it was lower in women versus men with low dependence., Conclusions: The current results indicate several effects for waterpipe smoking dependence on smoking topography. Many of these differences were gender dependent with men having higher exposure than women in most aspects., Competing Interests: Declaration of Competing Interest Dr. Eissenberg is a paid consultant in litigation against the tobacco and the electronic cigarette industry. The other authors declare that there is no conflict of interest., (Copyright © 2020 The Author(s). Published by Elsevier B.V. All rights reserved.)

Background: Cigarette smoking is disproportionately high among adults with two or more psychiatric disorders (psychiatric comorbidities), yet research on non-cigarette tobacco use among this population is scant. Additionally, most studies on tobacco use this among this population rely on psychiatric diagnoses rather than individual symptoms, potentially excluding individuals with symptom-specific issues that increase their risk for tobacco use but do not meet the criteria for diagnosis. The objectives of this study were to identify unique classes of individuals based on symptoms of psychiatric disorders and to assess differences in demographic characteristics and tobacco use behaviors between classes., Methods: This study used data from Wave 2 of the Population Assessment of Tobacco and Health Study adult dataset. Latent class analysis was used to classify individuals based on internalizing, externalizing and substance use problems. Bivariate and multivariable models examined the association between latent class membership and current use of cigarettes, cigar products, electronic nicotine delivery systems, pipe, hookah and smokeless tobacco products. Poly tobacco use was also examined., Results: Three latent classes were identified. The "normative" class reported low prevalence of all symptoms, the "severe internalizing and non-violent externalizing" class reported severe internalizing problems and non-violent externalizing problems and the "severe" class reported high prevalence of all symptoms. Tobacco use was highest for the "severe" class and lowest for the "normative" class across products., Conclusions: Individuals in the "severe" class may be at elevated risk of tobacco-related morbidity and mortality and would likely benefit from targeted tobacco control interventions., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Background: Waterpipe smoking has increased in popularity globally. Despite evidence regarding the harmful effects of waterpipe smoking, there is a common belief that it is less harmful than traditional cigarettes. Little is known about trends in waterpipe use in the U.S. This study examined national trends in waterpipe smoking among middle and high school students., Methods: We used the 2011-2017 National Youth Tobacco Survey data (n = 140195). For trend analyses, logistic regression was used for the prevalence of waterpipe ever use and current use. Joinpoint regression analysis was performed to identify where significant changes in trend occurred. Additionally, we examined the correlates of waterpipe smoking., Results: Overall prevalence of adolescent waterpipe ever and current use increased significantly from 7.6% and 2.8% in 2011 to 14.6% and 6.4% in 2014, then decreased significantly to 7.7% and 2.5% in 2017. This trend was consistent in most subgroups including male, female, Hispanic, White, middle school, and high school students. Joinpoint occurred in 2015 for Black adolescents. For example, current waterpipe use increased significantly from 1.4% in 2011 to 4.1% in 2015, declining to 2.5% in 2017. Multivariable analysis showed that cigarette smoking, e-cigarette use, curiosity about waterpipes, and tobacco smoke exposure at home were associated with ever and current waterpipe tobacco use among all participants as well as male and female subgroups., Conclusions: Findings indicate a decreasing trend of ever and current waterpipe tobacco use, which began in 2014 or 2015 for all groups included in the analyses., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Background E-cigarette use rates are high among youth, but there is limited information on the types of e-cigarette devices that are used by youth. Methods During Spring 2017, students from 4 high schools completed surveys on use of e-cigarette devices (cig-a-like, vape/hookah pen, modified devices or mods, and JUUL). Among youth who endorsed ever (lifetime) use of an e-cigarette and of at least one device (n = 875), we assessed 1) prevalence rates of ever and current (past-month) use of each device, 2) use of nicotine in each device, and 3) predictors [age, sex, race, socioeconomic status (SES), other tobacco use] of ever use of each device and of use of single versus multiple devices. Results Cig-a-likes were used least frequently (Ever use: cig-a-likes: 25.4%; vape/hookah pens: 60.6%; JUUL: 64.2%; mods: 71.2%; Current use: cig-a-likes: 7.3%; vape/hookah pens; 18.7%; mods: 33.1%; JUUL: 47.1%;). Nicotine use was highest for JUUL (JUUL: 80.3%; mods: 56.3%; cig-a-likes: 51.4%; vape/hookah pens: 46.8%). Among ever users of single devices, use of JUUL was highest (JUUL: 43%; mods: 32%; vape/hookah pens: 21%; cig-a-likes: 4%). Ever use of all devices, except JUUL, was associated with other tobacco product use. Ever use of JUUL was associated with higher SES. Ever use of multiple devices (two: 34.7%; three: 25.8%; four: 11.7%) compared with a single device (27.8%) was associated with other tobacco product use. Conclusions Targeted regulatory and prevention efforts that consider the use of multiple e-cigarette devices are needed to lower youth e-cigarette use rates., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Objective: Susceptibility to cigarette smoking has been used since the mid-1990s as a measure to identify youth at risk of cigarette initiation. However, it is unclear how well this measure predicts future smoking among electronic (e-)cigarette or hookah users, or among those in tobacco-friendly social environments., Methods: We used prospective data from the Southern California Children's Health Study to evaluate the performance (sensitivity, specificity, predictive value) of a composite index assessing susceptibility to smoking, and to evaluate whether performance of the measure differed by use of e-cigarettes or hookah, or immersion in a tobacco-friendly social environment. Susceptibility to cigarette smoking was measured in 11th/12th grade (2014) among never cigarette-smokers (N=1266); follow-up data on smoking initiation were obtained approximately 16 months later., Results: Overall, 16.4% of youth initiated smoking between baseline and follow-up. The sensitivity of the susceptibility to smoking index was low (46.4%), and specificity was high (79.0%). No difference in sensitivity was observed by baseline e-cigarette use; specificity was higher among never e- cigarette users. Differences in negative predictive value (NPV) and positive predictive value (PPV) were also observed by baseline e-cigarette and hookah use. Specificity was generally lower, and sensitivity was generally higher for those in tobacco-friendly social environments., Conclusions: Our findings suggest that use of the susceptibility to smoking index in cross-sectional studies of older adolescents to identify those likely to begin smoking may be inappropriate for those using alternative tobacco products (e.g., e-cigarettes or hookah)., (Copyright © 2017 Elsevier B.V. All rights reserved.)