Cognitive risk factors of electronic and combustible cigarette use in adolescents

IntroductionCognitive susceptibility to cigarette smoking has been demonstrated to predict future cigarette initiation in adolescents. Examining this construct prior to tobacco product initiation may provide useful information on the differential risk of individuals initiating cigarette vs. e-cigarette products. Additionally, examining how susceptibility and tobacco product use relate to perceived harm cognitions will increase understanding of risk predisposition among adolescents.MethodData were taken from a longitudinal study of middle school students (n = 1023; age = 12.1, 52.2% female, 72.1% white) in the Northeastern U.S. Likelihood of e-cigarette and cigarette ever-use in high school was examined as a function of a validated index of cigarette smoking susceptibility among tobacco naïve students in middle school. Prospective associations between cognitive susceptibility to smoking and subsequent perceived harm of e-cigarettes (assessed in high school), and cross-sectional associations between concurrent tobacco product ever-use status and perceived harm of e–cigarettes were examined.ResultsAdolescents classified as susceptible to cigarette smoking in middle school were more likely to initiate use of cigarettes (OR = 2.53) and e-cigarettes (OR = 1.95) as compared to adolescents classified as non-susceptible; cigarette smoking susceptibility did not differentially predict use of one product over the other. Adolescents endorsing e-cigarette use, reported significantly less perceived harm associated with e-cigarettes vs. cigarettes, while those who endorsed cigarette only or dual use did not.ConclusionOur data indicate that cognitive susceptibility to cigarette smoking may index a broad risk factor for using either cigarettes or e-cigarettes in the future, and is prospectively associated with perceived harm of e-cigarette use. Overall, those who used any tobacco product perceived e-cigarettes as less harmful when compared to abstainers. Individual facets of perceived harm (addiction potential and harm vs. cigarettes) differ between cigarette only users and e-cigarette users and may help to explain the choice to use one product vs. the other.ImplicationsThis is the first study to examine prospective associations between cognitive susceptibility to cigarette smoking, predating tobacco use, and subsequent likelihood of cigarette vs. e-cigarette initiation. This study demonstrates that initiation of either product is elevated among youth who are susceptible to smoking; thus susceptibility to smoking may serve as a useful marker of vulnerability to tobacco product use. Furthermore, this study provides novel information on the relationship between tobacco product onset and specific harm perceptions associated with e-cigarettes versus cigarettes among adolescents.     

Electronic-cigarette use by individuals in treatment for substance abuse: A survey of 24 treatment centers in the United States

Prevalence and reasons for using electronic cigarettes (e-cigarettes) was examined among patients enrolled in 24 substance abuse treatment centers in the United States (N = 1113). Prevalence of e-cigarette use was assessed for the full sample. Bivariate analyses and multivariate logistic regression were used to identify characteristics associated with e-cigarette use among current cigarette smokers (the majority of e-cigarette users). Overall 55.5% of the sample reported lifetime use of e-cigarettes, and 30.5% reported using e-cigarettes in the past 30 days (current users). The main reasons for using e-cigarettes were (a) at times/places when smoking was prohibited (53.5%), and (b) as a way to quit/reduce cigarette smoking (50.3%). Daily vs non-daily e-cigarette users were more likely to use e-cigarettes both as a way to reduce health risks, and as a way to quit/reduce cigarette smoking. A majority of e-cigarette users (87.1%) reported dual use of e-cigarettes and tobacco cigarettes during the past month. Among current cigarette smokers, those that also used e-cigarettes smoked more cigarettes per day, were more likely to have made a past year cigarette quit attempt, and to have tried nicotine replacement therapy compared to cigarette only smokers. There was a high rate of dual e-cigarette and cigarette use by persons enrolled in addiction treatment. E-cigarette users may be heavier cigarette smokers trying to quit or reduce their cigarette smoking. However, e-cigarettes were also used at times when individuals could not smoke cigarettes. Substance abuse treatment centers developing tobacco policies need to consider these potentially conflicting reasons for using e-cigarettes.     

Electronic cigarette use by college students

Background

Electronic cigarettes, or e-cigarettes, are battery operated devices that deliver nicotine via inhaled vapor. There is considerable controversy about the disease risk and toxicity of e-cigarettes and empirical evidence on short- and long-term health effects is minimal. Limited data on e-cigarette use and correlates exist, and to our knowledge, no prevalence rates among U.S. college students have been reported. This study aimed to estimate the prevalence of e-cigarette use and identify correlates of use among a large, multi-institution, random sample of college students.

Methods

4444 students from 8 colleges in North Carolina completed a Web-based survey in fall 2009.

Results

Ever use of e-cigarettes was reported by 4.9% of students, with 1.5% reporting past month use. Correlates of ever use included male gender, Hispanic or “Other race” (compared to non-Hispanic Whites), Greek affiliation, conventional cigarette smoking and e-cigarette harm perceptions. Although e-cigarette use was more common among conventional cigarette smokers, 12% of ever e-cigarette users had never smoked a conventional cigarette. Among current cigarette smokers, e-cigarette use was negatively associated with lack of knowledge about e-cigarette harm, but was not associated with intentions to quit.

Conclusions

Although e-cigarette use was more common among conventional cigarette smokers, it was not exclusive to them. E-cigarette use was not associated with intentions to quit smoking among a sub-sample of conventional cigarette smokers. Unlike older, more established cigarette smokers, e-cigarette use by college students does not appear to be motivated by the desire to quit cigarette smoking.     

Comparing the effects of organic,natural, and no additives labels on tobacco packaging between Lesbian,Gay, Bisexual (LGB) and heterosexual smokers

IntroductionPrevious research found that exposure to health-oriented language (e.g., natural, organic) on tobacco product packages is associated with reduced perceptions of harm and intention to purchase the product. However, how lesbian, gay, bisexual (LGB) individuals, who use tobacco products at a higher rate than heterosexual peers, respond to health-oriented labels has not yet been examined. This analysis examines whether responses to health-oriented labels differ between LGB persons and heterosexual individuals.MethodsSecondary analysis was completed from an experimental study that exposed US adult smokers to a non-US cigarette (Study 1) or e-cigarette (Study 2) package that displayed either health-oriented language (‘100% organic,’ ‘all natural’ or ‘no additives’), traditional marketing language (‘fine quality,’ ‘premium blend’ or ‘100% original’) or no language.ResultsNo significant differences were found between LGB smokers and heterosexual smokers in responses to cigarette packages with health-oriented labels (Study 1). However, LGB smokers had less favorable attitudes toward the e-cigarette product after viewing health-oriented labels (versus no language control label) while heterosexual smokers' attitudes did not differ across health-oriented and control labels (Study 2). In addition, LGB smokers had lower intention to purchase and vape e-cigarettes, and less favorable attitudes in response to health-oriented labels than heterosexual smokers.ConclusionsFindings suggest that LGB smokers process pro-tobacco messages differently than heterosexual smokers, and that product type (i.e., cigarette vs. e-cigarette) may be a factor to consider. Further research is needed to uncover underlying mechanisms.     

Perceptions about e-cigarette flavors: a qualitative investigation of young adult cigarette smokers who use e-cigarettes

Background: Although in recent years, an increased number of young adult smokers have used flavored e-cigarettes, little research has been conducted to explore young adult smokers’ perceptions about e-cigarette flavors.

Methods: This study used qualitative methods to examine young adult smokers’ perceptions towards e-cigarette flavors, their intentions of using e-cigarettes given a flavor ban, and their perceived role of e-cigarette flavors in their smoking behaviors. We conducted in-depth, semi-structured interviews to explore these themes among a purposive sample of 25 young adult smokers in the U.S. (aged 18–34) who had used e-cigarettes to reduce cigarette smoking. Thematic content analysis was employed to assess the qualitative data.

Results: Most participants reported enjoying e-cigarettes with fruit, candy, dessert or menthol/mint flavors and valued having a wide selection of flavors. Most participants reported that they would likely quit or significantly reduce e-cigarette use if e-cigarette flavors were banned. Participants had little knowledge of the nicotine concentration in their e-cigarettes or the harm associated with the use of e-cigarette flavorings. Additionally, participants perceived e-cigarette flavorings as helpful in cutting down smoking by allowing for increased e-cigarette use frequency and duration.

Conclusion: Participants indicated positive perceptions towards e-cigarette flavors and considered the role of e-cigarette flavors to be important in cutting down on cigarettes. Banning or restricting flavored e-cigarettes may discourage participants from using e-cigarettes for smoking cessation. The lack of knowledge about flavored e-cigarettes’ harm and risks, together with the escalated consumption of flavored e-cigarettes, are causes for concern and warrant further attention.     

Perceived risk and benefits of e-cigarette use among college students

Recent data demonstrates that the use of e-cigarettes is growing, especially among college students and young adults. This trend is increasingly problematic, as many of these individuals report never using traditional tobacco cigarettes, but nevertheless are using e-cigarettes. The present study sought to develop the Risks and Benefits of E-cigarettes (RABE) questionnaire to assess the perceptions about e-cigarette use among college students. College students (N = 734) completed the RABE via online survey. Principal components analysis yielded two reliable scales representing perceptions about e-cigarette use. Based on the two-factor solution, subscales were named according to item content. The resulting 30 items demonstrated excellent internal consistency (Risks scale α = 0.92; Benefits scale α = 0.89). Subsequent confirmatory factor analysis generally supported the 2-factor structure. As an initial measure of construct validity, scale scores were compared across smoking status groups. Smoking status groups were defined by the following: “e-cigarette users” were current daily users of e-cigarettes, “conventional smokers” were daily traditional cigarette users, and “dual users” were individuals who used both e-cigarettes and traditional cigarettes daily. Scale scores for perceived Benefits of e-cigarette use differed significantly across groups (p < 0.001), whereby students who reported using e-cigarettes or traditional cigarettes reported benefits associated with e-cigarette use. Scale scores for perceived Risks of e-cigarette use across smoking status groups did not significantly differ. The present results indicate that the RABE is a reliable instrument to measure college student's perceived risks and benefits of e-cigarettes.     

Assessing the Association Between E-Cigarette Use and Exposure to Social Media in College Students: A Cross-Sectional Study

Background: Social media platforms provide an indirect medium for encouraging e-cigarette use between individuals and also serve as a direct marketing tool from e-cigarette brands to potential users. E-cigarette users share information via social media that often contains product details or health-related claims. Objective: Determine whether e-cigarette use is associated with exposure to e-cigarettes on social media in college students. Methods: Data from a sample of 258 college students was obtained via a clicker-response questionnaire (90% response rate). Demographic, lifetime and current e-cigarette/cigarette use, and e-cigarette exposure via social media (peer posts or advertisements) were examined. Logistic regression was used to assess the relationship between lifetime and current e-cigarette use and viewing peer posts or advertisements on social media while adjusting for cigarette use and self-posting about e-cigarettes. Results: Overall, 46% of participants reported lifetime e-cigarette use, 16% current e-cigarette use, and 7% were current dual users of e-cigarettes and cigarettes. There were positive and significant associations between lifetime e-cigarette use and viewing peer posts (aOR = 3.11; 95% CI = 1.25–7.76) as well as advertisements (aOR = 3.01; 95% CI = 1.19–7.65) on e-cigarettes via social media after adjusting for cigarette use. Current e-cigarette use was only significantly associated with viewing peer posts via social media (aOR = 7.58; 95% CI = 1.66–34.6) after adjusting for cigarette use. Conclusions/Importance: Almost half of college students view peer posts and advertisements on e-cigarettes via social media. This exposure is associated with individual e-cigarette use. Continued efforts to examine online e-cigarette content are needed to help future interventions decrease e-cigarette use.     

Electronic Cigarette Use Among Adolescents in the Russian Federation

Background: Information on e-cigarettes among youth in the Russian Federation is lacking. Objective: We examined prevalence of and factors associated with youth e-cigarette use in the Russian Federation. Methods: A cross-sectional, anonymous survey, conducted among 716 (females 51.5%) high school students in three cities (i.e., Ufa, Sterlitamak, Karagaevo) within the Republic of Bashkortostan, Russian Federation in 2015, assessed e-cigarette use and its correlates (i.e., sex, age, ethnicity, family structure, parents' highest degrees, antisocial behaviors, stress coping strategies, lifetime cigarette, hookah, alcohol, and marijuana use). Results: Lifetime use of e-cigarettes was 28.6% and past-30-day use was 2.2%. Multilevel modeling showed that belonging to Tatar/Bashkir ethnicity relative to Russian ethnicity (OR = 1.60) and lifetime use of cigarettes (OR = 21.64), hookah (OR = 4.21), and alcohol (OR = 1.90) was associated with greater odds of lifetime use of e-cigarettes. Furthermore, use of social support coping strategies (i.e., utilizing parents for support) were associated with lower odds of lifetime use of e-cigarettes (OR = 0.94). Conclusions: Despite high lifetime e-cigarette use, past-30-day use was low. Greater knowledge of the reasons for e-cigarette discontinuation through continued surveillance is needed in the Russian Federation. Social coping strategies involving parents may inform e-cigarette use prevention.     

Preference for gain- or loss-framed electronic cigarette prevention messages

BackgroundEffective electronic cigarette (e-cigarette) prevention messages are needed to combat the rising popularity/uptake of e-cigarettes among youth. We examined preferences for e-cigarette prevention messages that either emphasized gains (e.g., You save money by not using e-cigarettes) or losses (e.g., You spend money by using e-cigarettes) among adolescents and young adults.MethodsUsing surveys in two middle schools, four high schools, and one college in CT (N = 5405), we assessed students' preferences for gain- or loss-framed e-cigarette prevention messages related to four themes: financial cost, health risks, addiction potential, and social labeling as a smoker. We also assessed whether preferences for each message framing theme differed by sex, school level, cigarette-use status, and e-cigarette use-status. We also examined whether preference for message framing differed by cigarette and e-cigarette susceptibility status among never e-cigarette users.ResultsOverall, loss-framing was preferred for message themes related to health risks, addiction potential, and social labeling as a smoker, whereas gain-framing was preferred for message themes related to financial cost. Logistic regression analyses showed that 1) females preferred loss-framed messages for all themes relative to males, 2) lifetime e-cigarette users preferred loss-framed health risks and social labeling messages relative to never users, and 3) high school students preferred gain-framed social labeling messages relative to college students. The preference for message framing did not differ by cigarette or e-cigarette susceptibility.ConclusionsPreference for message framing differed by themes and individual characteristics. This formative research could inform the construction of persuasive e-cigarette prevention messages.     

The impact of e-cigarette price changes on vaping and smoking behaviors

Background: Understanding the relations between e-cigarette prices and e-cigarette/cigarette use may shed light on the possible impact of e-cigarette regulations on public health. Objectives: This study aimed to assess potential impacts of e-cigarette price changes on vaping and smoking behaviors by smoking status (current, former, and never smokers) and e-cigarette type (pre-filled only vs. refillable). Methods: A total of 918?US-based adult e-cigarette users completed an online survey, designed to assess behavioral intention of e-cigarette/cigarette use in hypothetical situations with varying prices of e-cigarettes, in 2017. Results: With reduction in e-cigarette prices, more than 50% of current smokers reported they would reduce or quit smoking, but with greater increases in price, the rates of not only those who would quit (12.5–19.4%), but also those who would increase smoking rose (15.1–25.1%). Current smokers (vs. former/never) were more likely to increase e-cigarette use at reduced e-cigarette prices. Among current smokers, pre-filled users were less likely to quit smoking with reduced prices. At higher prices, pre-filled users were more likely to quit e-cigarettes (former smokers), but also more likely to start smoking (never smokers). Among former smokers, recent quitters were more likely to restart smoking with any e-cigarette price changes, and less likely to reduce or quit e-cigarettes with increased prices. Conclusions: Both smoking and e-cigarette use seem to be sensitive to e-cigarette price changes. Increases in e-cigarette price may have both positive and negative effects on smoking behavior, and e-cigarette price changes may disproportionately affect pre-filled users and recent quitters.     

Predictors of youth e-cigarette use susceptibility in a U.S. nationally representative sample

ObjectivesGiven that nicotine is one of the most addictive substances and that adolescents who are exposed to nicotine via e-cigarettes can progress to conventional cigarette smoking, there is a need to identify youth who are susceptible to e-cigarette use and prevent them from initiating e-cigarette use. Susceptibility to e-cigarette use, defined as the absence of a firm decision not to use e-cigarettes, is a useful concept that can be used to predict e-cigarette initiation and identify youth who have high risk of initiating e-cigarettes. This study was conducted to investigate factors that affect youth susceptibility to e-cigarette use.MethodsYouth who have never smoked conventional cigarettes and who had seen or heard of e-cigarettes but never used them (N = 9853) were drawn from the Population Assessment of Tobacco and Health (PATH) Study Wave 1 youth dataset collected from 2013 to 2014. Data were analyzed using logistic regression to investigate intrapersonal and environmental determinants of youth susceptibility to e-cigarette use.ResultsOverall, 24.2% (n = 2410) of youth who have never used e-cigarettes were susceptible to e-cigarette use. Psychological problems and rebelliousness were associated with increased susceptibility. Ever use of alcohol, marijuana, and other substances and household secondhand smoke exposure were found to be risk factors. Perceptions of e-cigarettes as addictive and harmful worked as protective factors.ConclusionsThe results revealed determinants of e-cigarette use susceptibility. Multi-level intervention approach is needed to prevent youth from being susceptible to e-cigarette initiation.     

Associations of risk factors of e-cigarette and cigarette use and susceptibility to use among baseline PATH study youth participants (2013–2014)

IntroductionImproved understanding of the distribution of traditional risk factors of cigarette smoking among youth who have ever used or are susceptible to e-cigarettes and cigarettes will inform future longitudinal studies examining transitions in use.MethodsMultiple logistic regression analysis was conducted using data from youth (ages 12–17 years) who had ever heard of e-cigarettes at baseline of the PATH Study (n = 12,460) to compare the distribution of risk factors for cigarette smoking among seven mutually exclusive groups based on ever cigarette/e-cigarette use and susceptibility status.ResultsCompared to committed never users, youth susceptible to e-cigarettes, cigarettes, or both had increasing odds of risk factors for cigarette smoking, with those susceptible to both products at highest risk, followed by cigarettes and e-cigarettes. Compared to e-cigarette only users, dual users had higher odds of nearly all risk factors (aOR range = 1.6–6.8) and cigarette only smokers had higher odds of other (non-e-cigarette) tobacco use (aOR range = 1.5–2.3), marijuana use (aOR = 1.9, 95%CI = 1.4–2.5), a high GAIN substance use score (aOR = 1.9, 95%CI = 1.1–3.4), low academic achievement (aOR range = 1.6–3.4), and exposure to smoking (aOR range = 1.8–2.1). No differences were observed for externalizing factors (depression, anxiety, etc.), sensation seeking, or household use of non-cigarette tobacco.ConclusionsAmong ever cigarette and e-cigarette users, dual users had higher odds of reporting traditional risk factors for smoking, followed by single product cigarette smokers and e-cigarette users. Understanding how e-cigarette and cigarette users differ may inform youth tobacco use prevention efforts and advise future studies assessing probability of progression of cigarette and e-cigarette use.     

E-cigarette use is associated with susceptibility to tobacco use among Australian young adults

BackgroundCalls have been made to relax current Australian regulations related to e-cigarettes to increase the accessibility of the devices for smoking cessation purposes. However, e-cigarettes have been found to increase risk of initiation of conventional cigarette smoking, especially among young adults. To assist in guiding the development of policy in Australia, the present study examined whether e-cigarette use among Australian young adults who have never smoked a tobacco cigarette is associated with susceptibility to future tobacco cigarette use.MethodAn online web panel provider recruited 519 never smokers aged 18–25 years (55% female; average age = 21.21 years, SD = 2.32). Respondents completed an online survey that assessed their curiosity about tobacco smoking, willingness and intentions to smoke, and a number of individual and social factors. Cross-sectional regression analyses were conducted to assess the association between e-cigarette use and susceptibility to tobacco cigarette use while controlling for multiple covariates.ResultsCuriosity about tobacco smoking, willingness to smoke, and intentions to smoke were significantly higher among users of e-cigarettes than never users. The relationship between e-cigarette use and susceptibility to future tobacco cigarette use remained significant after controlling for numerous covariates.ConclusionE-cigarette use, even just one or two puffs, has the potential to increase susceptibility to tobacco cigarette use among Australian young adults. Findings suggest that increasing the availability of e-cigarettes by relaxing current strict regulations surrounding their sale may have unintended consequences.     

Electronic cigarette awareness and use among adults in Hong Kong

IntroductionElectronic cigarettes (e-cigarettes) have gained popularity rapidly in the Western world but data in the East are scarce. We examined the awareness and ever use of e-cigarettes, and reasons for e-cigarette use in a probability sample of adults in Hong Kong.MethodsCross-sectional data were collected in 2014 from Chinese adults aged 15–65 in Hong Kong (819 never smokers, 800 former smokers, 800 current smokers) via computer-assisted telephone interviews (response rate: 73.8%). Analysis was limited to a subset of 809 respondents (i.e., 357 never smokers, 269 former smokers, 183 current smokers) who were randomly selected to answer questions on e-cigarettes. Chi-square analyses compared e-cigarette awareness and ever use by gender, age, education, and cigarette smoking status. Multivariable logistic regression examined if e-cigarette awareness was associated with demographic variables and cigarette smoking status.Results75.4% of adults had heard of e-cigarettes, and 2.3% reported having used e-cigarettes. Greater awareness was associated with male gender and higher education. Ever use of e-cigarettes was higher among males (3.6%, p = .03), younger adults (aged 15–29, 5.2%, p = .002), and current cigarette smokers (11.8%, p < .001). Common reasons for using e-cigarettes were curiosity (47.4%), the stylish product design (25.8%), and quitting smoking (13.6%).ConclusionsAwareness of e-cigarettes was widespread in Hong Kong. Although the use of e-cigarettes was low, its relation with younger age and current smoking is of concern. Health surveillance of e-cigarette use is needed. Interventions should target young adults and cigarette smokers, and address the marketing messages, especially the effect of e-cigarettes on smoking cessation.     

Exclusive versus dual use of tobacco and electronic cigarettes among adolescents in Poland, 2010–2016

Globally, electronic cigarette (e-cigarette) use among adolescents has increased, along with concerns about potential health implications from exclusive and concurrent tobacco and e-cigarette use (i.e., “dual use”). This study used data from a cross-sectional survey administered to 5708 students aged 15–19 in secondary and technical schools throughout two regions of Poland. Data from 2010–2011 (n = 1760); 2013–2014 (n = 1970) and 2015–2016 (n = 1978) were analyzed to assess changes in use of cigarettes and e-cigarettes from 2010–2016, and correlates of exclusive and dual use, daily use, and intensity of product use from 2013–2016. In this sample, e-cigarette trial and past 30-day exclusive e-cigarette use significantly increased over time (2010–2011: 2%; 2013–2014: 8%; 2015–2016: 11% (p < .05)). Dual use increased from 2010–2011 (4%) to 2013–2014 only (23%, p < .05); and remained stable from 2013–2014 to 2015–2016 (24%, p = .60). Most dual users reported using cigarettes before trying e-cigarettes (82% in 2013–2014, 76% in 2015–2016). Analyses comparing dual users to exclusive users showed significant differences in frequency and intensity of product use, similar findings were observed within dual users. Following the introduction of e-cigarettes, both total tobacco use and total cigarette use increased. Among youth in Poland, e-cigarettes do not seem to replace conventional cigarettes, but instead contribute to a more diverse array of available products from which youth can experiment.     

E-cigarette- specific symptoms of nicotine dependence among Texas adolescents

IntroductionThe 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.MethodsThis 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.ResultsExclusive 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).ConclusionsThis 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.     

Fatigue severity and electronic cigarette beliefs and use behavior

Electronic cigarette (e-cigarette) use has risen dramatically in the United States. Clinically significant fatigue may represent one previously unexplored individual difference factor related to e-cigarette use patterns and e-cigarette specific cognitive processes. Fatigue reflects the experience of being tired, lacking energy, and feeling exhausted. Although fatigue is a normal bodily response, severe or chronic fatigue is maladaptive. Thus, the current study sought to evaluate clinically significant fatigue and its relation to perceived barriers for quitting e-cigarettes, perceived risks and perceived benefits of e-cigarette use, and e-cigarette dependence among 625 adult e-cigarette smokers (51.8% female, M_age = 34.91 years, SD = 10.29). Results indicated that severe fatigue was significantly related to greater perceived barriers to quitting (p < .001), perceived risks (p < .001) and perceived benefits (p < .001) of e-cigarette use, and greater e-cigarette dependence (p < .001); effects that were evident after adjusting for a range of other factors (e.g., combustible cigarette use, pain severity). These novel empirical results highlight the severity of fatigue as a potentially important construct in efforts to better understand beliefs related to e-cigarette use and e-cigarette dependence.     

Electronic cigarette use outcome expectancies among college students

Background

E-cigarette use outcome expectancies and their relationships with demographic and e-cigarette use variables are not well understood. Based on past cigarette as well as e-cigarette use research, we generated self-report items to assess e-cigarette outcome expectancies among college students. The objective was to determine different dimensions of e-cigarette use expectancies and their associations with e-cigarette use and use susceptibility.

Methods

Self-report data were collected from 307 multiethnic 4- and 2-year college students [M age = 23.5 (SD = 5.5); 65% Female; 35% current cigarette smokers] in Hawaii. Data analyses were conducted by using factor and regression analyses.

Results

Exploratory factor analysis among e-cigarette ever-users indicated 7 factors: 3 positive expectancy factors (social enhancement, affect regulation, positive sensory experience) and 4 negative expectancy factors (negative health consequences, addiction concern, negative appearance, negative sensory experience). Confirmatory factor analysis among e-cigarette never-users indicated that the 7-factor model fitted reasonably well to the data. Being a current cigarette smoker was positively associated with positive expectancies and inversely with negative expectancies. Higher positive expectancies were significantly associated with greater likelihood of past-30-day e-cigarette use. Except addiction concern, higher negative expectancies were significantly associated with lower likelihood of past-30-day e-cigarette use. Among e-cigarette never-users, positive expectancy variables were significantly associated with higher intentions to use e-cigarettes in the future, adjusting for current smoker status and demographic variables.

Conclusions

E-cigarette use expectancies determined in this study appear to predict e-cigarette use and use susceptibility among young adults and thus have important implications for future research.