Likelihood Of E-cigarette Use Research Articles

Two-part models identifying predictors of cigarette, e-cigarette, and cannabis use and change in use over time among young adults in the US.

Limited longitudinal research has examined differential interpersonal and intrapersonal correlates of young adult use and use frequency of cigarettes, e-cigarettes, and cannabis. This study aimed to address these limitations. We analyzed five waves of longitudinal data (2018-2020) among 3006 US young adults (Mage = 24.55, 44% male, 32% sexual minority, ~30% racial/ethnic minority). Two-part latent growth models examined likelihood of past-month cigarette, e-cigarette, and cannabis use (binary part) and days used (continuous part) and identified predictors (depressive symptoms, personality traits, adverse childhood experiences [ACEs], parental use) of baseline use and changes over time. Regarding baseline past-month use (27% cigarettes, 38% e-cigarettes, 39% cannabis), depressive symptoms, ACEs, and parental substance use predicted use outcomes (i.e., likelihood, frequency) for each product; extraversion predicted cigarette and e-cigarette use outcomes; openness predicted e-cigarette and cannabis use outcomes; conscientiousness negatively predicted cigarette and cannabis use outcomes; and agreeableness negatively predicted cannabis use frequency. Regarding longitudinal changes, conscientiousness predicted accelerated increase of cigarette use frequency at later timepoints; depressive symptoms predicted increases in likelihood of e-cigarette use but the association weakened over time; and parental cannabis use predicted decreased cannabis use frequency but the association weakened over time. Young adult substance use interventions should target high-risk subgroups and focus on distinct factors impacting use, including chronic, escalating, and decreasing use. This study advances the literature regarding distinct predictors of different substance use outcomes and provides unique data to inform interventions targeting young adult cigarette, e-cigarette, and cannabis use.

Parenting practices, mental health, and electronic cigarette use among U.S. young adolescents: A longitudinal panel analysis, 2013–2018

PurposeThis study examined prospective association of parenting practices related to tobacco use with adolescent e-cigarette use and the moderating role of mental health among U.S. young adolescents. MethodsWe study used multi-wave longitudinal data (2013–2018) drawn from the Population Assessment of Tobacco and Health Study. A total of 5114 young adolescents (12–14 years) who were not lost to follow-ups across four waves (Wave 1–4) comprised the study sample. Weighted logistic regression models along with generalized linear mixed modeling assessed the within-subject associations of parenting practices related to tobacco use (tobacco availability at parent/guardian's home, past-year parent talk about tobacco use, and rules about non-combustible tobacco use at home) with adolescent current e-cigarette use. ResultsPrevalence of having home rules about non-combustible tobacco use increased (74.5%–80.2%) and that of parent talk about tobacco use decreased (52.0%–33.9%) over time while tobacco availability at home did not show a specific trend. Tobacco availability at home was associated with increased odds of adolescent e-cigarette use (adjusted odd ratio[OR] = 2.25, 95% confidence interval[CI] = 1.72–2.95), and having home rules about non-combustible tobacco use was linked to decreased likelihood of e-cigarette use (adjusted OR = 0.72, 95% CI = 0.55–0.92). The magnitude of negative association between having rules about non-combustible tobacco and adolescent e-cigarette use was stronger among adolescents with internalizing problems but weaker among those with externalizing problems. ConclusionsOur findings highlight the important role of home-based interventions in discouraging young adolescents from e-cigarette use. Parents/guardians should consider adolescents' mental health to provide more efficient home- and/or clinical-based e-cigarette use prevention.

Profile of Brazilian Undergraduates Who Use Electronic Cigarettes: a Cross-Sectional Study on Forbidden Use.

The use of electronic cigarettes (e-cigarettes) persists in Brazil, despite restrictions on sales, imports, and advertising. This study aimed to identify the prevalence of e-cigarette use and user profiles among university students. This cross-sectional study used a convenience sample of 3083 university students (female = 2253, male = 830; M=26.1; SD =8.43) who completed an online survey. We employed logistic regression models and network analysis to determine the profile of e-cigarette users. The prevalence of e-cigarette use in the past year was 12.2% (n =377). Men, single individuals, Caucasians, secular individuals, and non-heterosexual individuals were more likely to engage in e-cigarette use. Intense use of alcohol, tobacco products, and illicit drugs increased the likelihood of e-cigarette use. Brazilian college students continue to use electronic cigarettes despite the prohibition. The pattern of alcohol abuse and tobacco product use among e-cigarette users is concerning. These risky behaviors render young and highly educated individuals targets for public policies to control and regulate electronic cigarettes in the country.

Association between pain and e-cigarette use stratified by cigarette smoking status: Results from National Health Interview Survey (NHIS) 2019–2020

IntroductionPrevious studies have shown frequent co-morbidities between pain and tobacco use. However, the investigation in use of e-cigarettes, a relatively new tobacco product, at the intersection of pain and cigarette smoking is still lacking. This study used a US national dataset to examine associations between pain experience (pain lasting 3 months) and e-cigarette use, stratified by cigarette smoking status. MethodsThis study used a pooled dataset of the 2019 and 2020 National Health Interview Survey (NHIS) (N = 63,565). We estimated multivariable binomial logistic regressions predicting current e-cigarette use by pain experience, after controlling for survey year, age, sex, race/ethnicity, sexual orientation, education level, health insurance status, other tobacco use, diagnosis of anxiety and depression, use of pain management methods (e.g., physical therapy, behavioral therapy), and prescribed opioid pain reliever use among the overall population, and stratified by cigarette smoking status – never, former, and current cigarette smoking. ResultsAfter controlling for covariates, past-3-month pain experience was associated with current e-cigarette use (aOR = 1.26; 95 % CI = 1.08, 1.46) in the overall population. When stratified by current cigarette smoking, pain experience was associated with current e-cigarette use among current combustible cigarette smokers (aOR = 1.62, 95 % CI = 1.20, 2.18). However, there was no significant difference in e-cigarette use by pain experience among non-current cigarette smokers (p = 0.103). ConclusionsWe observed a higher likelihood of e-cigarette use among US adults experiencing pain. Future studies are needed to investigate mechanisms linking pain and e-cigarette use to inform smoking/vaping prevention and cessation interventions.

Association between E-Cigarette Advertising Exposure and Use of E-Cigarettes among a Cohort of U.S. Youth and Young Adults.

Youth and young adult (YYA) use of e-cigarettes increased rapidly between 2010 and 2019 in the United States, during which exposure to e-cigarette advertising was also increased. We aimed to examine whether exposure to e-cigarette advertising among YYAs may lead to subsequent e-cigarette use. A cohort of 3886 YYAs ages 13–24 was recruited from two survey panels in 2018 and followed up until 2019. Survey data were collected online and by telephone. The primary outcome was past 30-day use of e-cigarettes at the follow-up survey. Among 2304 YYAs who retained at the follow-up survey and were not past 30-day e-cigarette users at baseline, both youth and young adults exposed to e-cigarette advertising at baseline had elevated odds of past 30-day e-cigarette use at follow-up (Youth adjusted odds ratio (aOR): 2.77, 95% CI: 1.23, 6.24; Young adults aOR: 2.34, 95% CI: 1.08, 5.11) compared with those not reporting baseline advertising exposure. The majority of YYAs reported exposure to e-cigarette advertising at baseline (Youth: 63.7%, 95% CI: 59.8, 67.4; Young adults: 58.3%, 95% CI: 53.6, 62.8). Our findings suggest that exposure to e-cigarette advertising was associated with an increase in subsequent past 30-day use of e-cigarettes among YYAs. Restricting advertising targeted at YYAs may reduce the likelihood of e-cigarette use among YYAs.

The Influence of Mental Health and Respiratory Symptoms on the Association Between Chronic Lung Disease and E-Cigarette Use in Adults in the United States.

Adults with chronic lung disease use electronic cigarettes (e-cigarette) at higher rates than those without chronic lung disease. Because e-cigarettes have now been shown to cause adverse pulmonary effects and impair immune responses, it is particularly important to identify the factors that contribute to e-cigarette use in individuals with chronic lung disease. We tested whether mental health explains the association between chronic lung disease and e-cigarette use, and whether the association between chronic lung disease and e-cigarette use is conditional on the presence of respiratory symptoms. Data were obtained from the 2018 Behavioral Risk Factor Surveillance System. Logistic regression was used to test the association between chronic lung disease status and e-cigarette use when controlling for demographic variables and comorbidities. Structural equation modeling was then used to evaluate (a) whether the number of bad mental health days in the past 30 days explained the association between chronic lung disease and e-cigarette use, and (b) if respiratory symptoms moderated the association between chronic lung disease and e-cigarette use. The prevalence of lifetime and current e-cigarette use was significantly higher in those with than in those without chronic lung disease, as was the number of bad mental health days in the past 30 days. Mediation analysis indicated a statistically significant indirect effect of chronic lung disease on the likelihood of e-cigarette use (lifetime and current) through mental health. However, our analyses did not indicate a statistically significant interaction between chronic lung disease and respiratory symptoms in the likelihood of e-cigarette use. The association between chronic lung disease and e-cigarette use may be due, in part, to poorer mental health among individuals with chronic lung disease. These findings provide preliminary evidence that improving the mental health of individuals with chronic lung disease could reduce e-cigarette use in this vulnerable population.

Lockdown, bottoms up? Changes in adolescent substance use across the COVID-19 pandemic

The COVID-19 pandemic notably altered adolescent substance use during the initial stage (Spring 2020) of the pandemic. The purpose of this longitudinal study is to examine trajectories of adolescent substance use across the pandemic and subsequent periods of stay-at-home orders and re-opening efforts. We further examined differences as a function of current high school student versus graduate status. Adolescents (n = 1068, 14–18 years, Mage = 16.95 years and 76.7% female at T1) completed 4 different self-report surveys, starting during the first stay-at-home order and ending approximately 14 months later. Negative binomial hurdle models predicted: (1) the likelihood of no substance use and (2) frequency of days of substance use. As hypothesized, results demonstrated significant increases in adolescents’ likelihood of alcohol use, binge drinking, and cannabis use once initial stay-at-home orders were lifted, yet few changes occurred as a result of a second stay-at-home order, with rates never lowering again to that of the first lockdown. Further, graduates (and particularly those who transitioned out of high school during the study) demonstrated a greater likelihood and frequency of substance use and were more stable in their trajectories across periods of stay-at-home orders than current high school students. Unexpectedly, however, there was a strong increase in current high school students’ likelihood of e-cigarette use and a significant linear increase in participants’ frequency of e-cigarette use over the study. Results suggest adolescent substance use, and in particular, e-cigarette use among current high school students, may be of increasing concern as the pandemic evolves.

Is E-cigarette Use Associated With Persistence or Discontinuation of Combustible Cigarettes? A 24-Month Longitudinal Investigation in Young Adult Binge Drinkers.

It remains unclear whether electronic cigarette (e-cigarette) use promotes persistent combustible tobacco use or smoking discontinuation over time. Alcohol use is associated with a greater risk of adverse health effects of tobacco, and higher likelihood of e-cigarette use, making drinkers a high-priority subpopulation. This study examined longitudinal patterns of combustible tobacco and e-cigarette use over 24 months in young adult binge drinkers. A pooled dataset of 1002 (58.5% female; M age = 22.14) binge drinkers from the United States (60%) and Canada (40%) was used. The primary outcomes were past month combustible tobacco and e-cigarette use. Nicotine dependence was measured using the Fagerström Test of Cigarette Dependence. Alcohol severity was measured using the Young Adult Alcohol Consequences Questionnaire. Latent transition analysis (LTA) was used to identify patterns of cigarette smoking and e-cigarette use over 24 months. The LTA yielded a four-class solution: (1) e-cigarettes-only users (prevalence over time: 7.75%-10.10%), (2) dual-product users (2.61%-9.89%), (3) combustible-only smokers (8.12%-20.70%), and (4) nonusers (61.66%-80.06%). Dual-product users predominantly transitioned to complete abstinence or exclusively e-cigarette use. In combustible-only smokers, the most common transition was to abstinence, followed by persistence of combustible-only status. At 24 months, 63% of e-cigarettes-only users transitioned to abstinence, with 37% continuing e-cigarettes-only use and 0% transitioning to dual or combustible cigarette use. Dual-product use in young adult binge drinkers was associated with discontinuation of combustible tobacco over time, and e-cigarette-only use was not associated with subsequent combustible tobacco use. These findings suggest that concurrent or exclusive e-cigarette use is not a risk factor for the persistence or development of combustible tobacco use in this subpopulation, with dual-product use reflecting a transitional pattern away from combustible use, toward discontinuation.

Longitudinal and bidirectional associations between family conflict and adolescents' e-cigarette use.

This study examined potential longitudinal and bidirectional relationships between family conflict and adolescent e-cigarette use, and whether gender moderated these associations. Adolescents (NT1 = 1334; Mage = 13.11, SD = 0.82; 52% female; 50% White) from the United States completed surveys in the spring of 2016 and again in the fall of 2017. Logistic regression analyses indicated that after controlling for previous e-cigarette use, family conflict was positively associated with a greater likelihood of e-cigarette use 6 months later. Results from multiple regression analyses indicated that after controlling for previous family conflict, e-cigarette use was associated with increases in later family conflict, particularly for girls. Study findings highlight reducing family conflict and supporting family functioning as a possible intervention target for adolescent e-cigarette use, a major public health problem.

How Does Online e-cigarette Advertisement Promote Youth’s e-cigarettes Use? The Mediating Roles of Social Norm and Risk Perceptions

ABSTRACT The adoption of the internet, social media, and e-cigarettes are on the rise among U.S. youth. Uses of social media and online platforms increase the probability for youth to encounter e-cigarette advertisements. Departing from this line of reasoning, we examine the underlying mechanisms of how online e-cigarettes exposure promotes youth’s e-cigarette use. Drawing on insights from the social construction of risk model, this study looks at how perceived social norms and risk perception mediate the link between online e-cigarette advertisement exposure and e-cigarette use. Youth aged 12–17 from the Public Assessment of Tobacco and Health (PATH) Study Waves 2–4 (2014–2018) were included (N = 6,067). Controlling for demographic and other known risk factors for e-cigarette use, respondents who had been exposed to online e-cigarette ads at Wave 2 perceived higher levels of positive social norms of e-cigarette use at Wave 3 (β = 0.13, p < .001) which was associated with lower e-cigarette risk perception at Wave 3 (β = −0.22, p < .001). Lower e-cigarette risk perception at Wave 3 resulted in a higher likelihood of e-cigarette use at Wave 4 (AOR = 0.51, p < .001). Online e-cigarettes ads exposure at Wave 2 predicted e-cigarette use at Wave 4 (AOR = 1.87, p < .001). The results indicate that norm perception associated with online e-cigarettes ads may twist youth’s e-cigarette risk perception that is associated with subsequent usage. Interventions to curb youth’s e-cigarette use can target social norms of e-cigarette use and restrict e-cigarette advertisement exposure to youth.

Electronic cigarette use among adolescents and young adults in Nigeria: Prevalence, associated factors and patterns of use.

BackgroundElectronic cigarettes (e-cigarettes) have emerged in the Nigerian market, and if used without supervision, may have damaging effects on the physical and mental health of users. Therefore, there is a need to determine the patterns of use, especially among adolescents and young adults. This study aims to assess the prevalence and factors associated with electronic cigarette use, as well as the relationship between their use and anxiety among adolescents and young adults in Lagos, Nigeria.MethodAn online cross-sectional study among participants aged between 15–35 years. The survey had three sections: sociodemographic information, the pattern of e-cigarette use, and a 7-item Generalized Anxiety Disorder (GAD-7) scale. Bivariate and multivariable logistic regression analysis was used to identify factors associated with e-cigarette use. P-values <0.05 were considered significant. Statistical analysis was done using STATA-15.0 software.ResultsData from a total of 949 respondents was analysed. Participants had a mean age of 23.36 years (±3.97) and were predominantly female (55.64%). The prevalence of e-cigarette ever-use was 7.9% (95% CI: 5.8,10.0). Older age and being male were independently associated with higher odds of e-cigarette use. After adjusting for age and sex, alcohol use (p<0.001), friend’s use (p<0.001), and other tobacco product or substance use (p:0.05) remained significantly associated with higher odds of e-cigarette use. There was no association between anxiety levels and e-cigarette use.ConclusionThese findings suggest a higher likelihood of e-cigarette use among alcohol consumers, poly-tobacco or substance users and individuals with friends who use e-cigarettes. Health providers and policy makers in Nigeria might consider preventive measures aimed at young adults with the identified risk factors, as well as close monitoring of trends in e-cigarette use in the coming years.

Social media and E-cigarette use among US youth: Longitudinal evidence on the role of online advertisement exposure and risk perception

ObjectivesPrevious studies revealed a link between social media use and e-cigarette use among U.S. youth, but less is known about the mechanisms through which they interconnect. This study examined how social media and e-cigarette use are connected through online advertisement exposure and risk perception of e-cigarettes among U.S. youth. MethodsYouth aged 12–17 from the Public Assessment of Tobacco and Health (PATH) Study Waves 2–4 (2014–2018) were included (N = 6,208). This study integrated the incidental exposure framework and the risk perception framework to guide study conceptualization and variable selection. Generalized structural equation modeling was performed to investigate the sequential mediation relationship between social media and e-cigarette use through online e-cigarette advertisement exposure and risk perception of e-cigarette use. ResultsYouth respondents with more social media use were more likely to be exposed to e-cigarette advertisement at Wave 2 (OR = 1.13, p < 0.001), which led to lower e-cigarette risk perception at Wave 3 (β = -0.07, p < 0.001). Higher e-cigarette risk perception at Wave 3 resulted in lower likelihood of e-cigarette use at Wave 4 (OR = 0.57, p < 0.001). High social media use at Wave 2 was directly associated with high likelihood of e-cigarette use at Wave 4 (OR = 1.11, p < 0.001). ConclusionsThe results indicate that social media use is associated with increased e-cigarette use through online e-cigarette advertisement exposure and subsequently decreased e-cigarette risk perception among U.S. youth. Our findings underscore the importance of regulating online e-cigarette advertisement, with the emphasis of avoiding information that could twist youth’s risk perception of e-cigarettes, which may in turn curtail youth e-cigarette use.

Binge Drinking Moderates the Association Between Chronic Lung Disease and E-Cigarette Use.

There is a paucity of research on e-cigarette use among adults with chronic lung disease. Accordingly, little is known about the factors that may contribute to e-cigarette use in this population. The purpose of this study was to evaluate the relationship between chronic lung disease and e-cigarette use and to determine whether binge drinking moderates this relationship. Data were derived from the 2018 Behavioral Risk Factor Surveillance System (BRFSS). Logistic regression was used to test the association between chronic lung disease status and e-cigarette use, controlling for demographic variables and chronic health conditions. We conducted moderation analyses to test the hypothesis that the association between chronic lung disease and lifetime e-cigarette use would be modified by binge drinking. The prevalence of lifetime e-cigarette use was higher among adults with chronic lung disease than among those without, and more frequent binge drinking was associated with an increased likelihood of lifetime e-cigarette use independent of chronic lung disease status. Binge drinking moderated the relationship between chronic lung disease and lifetime use of e-cigarettes such that the association between chronic lung disease and e-cigarette use was weaker among those who engaged in more episodes of binge drinking in the past 30 d. Among those without chronic lung disease, binge drinking was associated with an increased likelihood of e-cigarette use. E-cigarette use appears to be more common among adults with chronic lung disease. Although binge drinking was positively associated with e-cigarette use, more frequent binge drinking weakened the relationship between chronic lung disease and e-cigarette use. Though future studies are needed to determine precisely how binge drinking affects this association, it is possible that individuals with chronic lung disease who binge drink more frequently use e-cigarettes less frequently, despite an increased likelihood of having ever used an e-cigarette. (ClinicalTrials.gov registration NCT04135404.).

Descriptive and Injunctive Norms Related to E-Cigarettes.

E-cigarette use has rapidly increased in prevalence in the United States, and rates of use are even higher among military personnel compared to the general population. Descriptive and injunctive norms have previously been shown to impact tobacco use. However, little research has been conducted related to e-cigarette descriptive and injunctive norms, and no research has addressed e-cigarette norms among a military population. From July, 2018 to February, 2019, 22 focus groups (N=164) were conducted among airmen, military training leaders, and technical training instructors. The focus groups aimed to gain insight into facilitators and barriers to tobacco use during technical training, where airmen receive training for their specific jobs. Study procedures were approved by the institutional review board of the 59th Medical Wing in San Antonio. Focus group recordings were transcribed, and transcripts coded. Themes related to descriptive and injunctive norms were examined for the current study. Many interviewees mentioned the prevalence of e-cigarette use, either generally ("…a lot of people vape but that's kind of the thing nowadays") or with specific estimates of how many airmen use ("vaping, probably at least 60-70%"). However, injunctive norms were not commonly discussed, with only a couple of interviewees mentioning that e-cigarette use is the "cool" trend or they feel peer pressure. Descriptive norms were more commonly mentioned than injunctive norms, which may indicate that injunctive norms are not as influential for e-cigarette use. Additionally, all estimates related to e-cigarette prevalence were higher than actual rates of use, showing an overestimation of use, which previous literature has shown increases likelihood of e-cigarette use. Future research should specifically ask about injunctive norms as well as determine if descriptive and injunctive norms influence actual e-cigarette use behaviors among military personnel.

E-cigarette use among adults in China: findings from repeated cross-sectional surveys in 2015–16 and 2018–19

The use of e-cigarettes among adults is increasing globally. Since 2018, policies in China have restricted e-cigarette use; however, little information is available on the national trend in e-cigarette use before regulations were implemented. Therefore, we sought to estimate the trend in e-cigarette use in China before policy implementation and explored associated factors. We assessed two nationally representative cross-sectional datasets from the China Chronic Disease and Nutrition Surveillance (CCDNS) surveys initiated in 2015 (June, 2015, to May, 2016) and 2018 (August, 2018, to June, 2019). The surveys were done at 298 national disease surveillance points in 31 provinces in mainland China, and used a multistage, stratified, cluster-randomised sampling design, recruiting community-based Chinese adults aged 18 years and older. Within the standard CCDNS survey, face-to-face questionnaire interviews were used to collect self-report data on e-cigarette use in the preceding 30 days. E-cigarette users were those who self-reported e-cigarette use on 1 day or more in the past 30 days. Prevalence estimates of past 30-day e-cigarette use were weighted to represent the Chinese adult population accounting for the complex sampling design. Populations for the years 2015-16 and 2018-19 were standardised with the 2010 population census to gain comparable estimates. Multivariable logistic regression models adjusted for age, sex, urban or rural residence, household income, occupation, and education level were applied to identify factors associated with the likelihood of e-cigarette use among the total population, ever smokers (current and former), and never smokers across both surveys. Our study included 189 306 Chinese adults from the 2015 survey (100 405 [53·0%] women; mean age 43·6 years [SD 14·6]) and 184 475 Chinese adults from the 2018 survey (102 373 [55·5%] women; mean age 43·4 years [13·9]). The weighted prevalence of past 30-day e-cigarette use among Chinese adults increased from 1·3% (95% CI 1·1-1·5%) in 2015-16 to 1·6% (95% CI 1·4-1·8%) in 2018-19 (an increase of 0·3% [95% CI 0·1-0·6]; Rao-Scott χ2 p=0·0086). Based on weighted proportion data, e-cigarette users were predominantly men (97·4% [95% CI 96·7-98·1] in 2015-16 and 97·0% [95·4-98·6] in 2018-19) and current conventional smokers (93·0% [90·7-95·2] in 2015-16 and 96·2% [95·1-97·3] in 2018-19). Across both surveys, the odds of e-cigarette use were significantly associated with obesity (odds ratio 1·6 [95% CI 1·3-2·1]; p=0·0007), awareness of smoking hazards (1·2 [1·0-1·4]; p=0·022), and smoking status (in current smokers, 135·2 [87·7-208·6]; and in former smokers, 33·5 [21·3-52·7]; p<0·0001). Among current smokers, the odds were increased with daily cigarette consumption (2·1 [1·5-2·8]; p<0·0001), smoking more than 20 cigarettes per day (1·8 [1·5-2·3]; p<0·0001), and an attempt to quit smoking (within the past 12 months, 1·9 [1·5-2·4]; and before the past 12 months, 1·5 [1·3-1·9]; p<0·0001). In never smokers, the odds were increased in those aware of the hazards of smoking (2·4 [1·2-4·7]; p=0·011). E-cigarette use in China remains low but has increased substantially between 2015 and 2019. Our study identified increased e-cigarette use among subpopulations, and use patterns, that warrant further attention from public health policy makers in China. Chinese Central Government, National Key Research and Development Program of China.

Mental Health and the Association between Asthma and E-cigarette Use among Young Adults in The United States: A Mediation Analysis.

Background: Asthma is associated with a greater likelihood of e-cigarette use among young adults, which may increase the risk of pulmonary complications. Because substance use trajectories emerge in early adulthood, it is important to identify factors that may be important in addressing this new public health threat. One such factor may be poor mental health. Methods: Data were extracted from the 2018 Behavioral Risk Factor Surveillance System (BRFSS). Current and former asthma status was measured by self-reported lifetime and current asthma status; mental health functioning was measured by the number of self-reported bad mental health days during the past 30 days; e-cigarette use was measured by self-reported current e-cigarette use. We tested the hypothesis that mental health mediates the association between asthma status and e-cigarette use among young adults using structural equation modeling. Results: The prevalence of e-cigarette use was significantly higher among young adults with current (9.90%) or former asthma (13.09%) than those without asthma (9.58%). Furthermore, the number of bad mental health days in the past 30 days was significantly greater among young adults with current or former asthma than among those without asthma (Mean (Standard Deviation): 6.85 (0.42), 4.18 (0.85) versus 3.83 (0.17)), respectively. Finally, we found a statistically significant indirect effect of asthma on the likelihood of e-cigarette use through mental health such that the higher prevalence of e-cigarette use among those with current or former asthma was statistically accounted for by a greater number of bad mental health days in the past 30 days. Conclusions: Consistent with mediation, poorer mental health accounted for the higher prevalence of e-cigarette use among those with asthma. However, longitudinal studies are needed to interrogate causal relationships, including the effects of e-cigarette use on mental health. Mental health services may play an important role in improving health and wellbeing in this vulnerable population.

Awareness and use of e-cigarettes among university students in Shanghai, China.

INTRODUCTIONThe use of electronic cigarettes (e-cigarettes) in adults is increasing globally, and similar trends may be observed in the young population. Our objective was to estimate the awareness and use of e-cigarettes among the students from two comprehensive universities in Shanghai, China, and to identify the factors that may influence their decision to use e-cigarettes and their possible adverse effects.METHODSAn online cross-sectional survey was conducted among the students of Shanghai Jiao Tong University and Fudan University. A total of 869 students (412 males and 457 females), mean age 21.09 years (SD=2.44), were recruited in 2018. Multivariate binary logistic regression analyses were performed to explore the associations between ever e-cigarette use and influencing factors.RESULTSOf the responding students, 88.4% were aware of e-cigarettes, 4.6% had used e-cigarettes at least once in their lifetime, and 1.7% were current e-cigarettes users. Males and smokers were more likely to use e-cigarettes (ever used e-cigarettes even once) than females (OR=3.51; 95% CI: 1.69–7.27; p=0.001) and non-smokers (OR=28.58; 95% CI: 14.03–58.20; p<0.001). University students were easily motivated to use e-cigarettes when their peers also used them, and the risk ratio was 4.15 (95% CI: 2.11–8.19) compared with if their peers never used e-cigarettes. The major factors found to motivate university students to use e-cigarettes were the belief that e-cigarettes were less harmful or not harmful (55.0%) and the perception that e-cigarettes were helpful to quit smoking (37.5%). The survey also indicated that 72.4% of the respondents heard about e-cigarettes from television advertisements, 42.7% from websites online, and 41.2% from their parents and friends.CONCLUSIONSUniversity students who were males, cigarette smokers and whose peers used e-cigarettes were more likely to use e-cigarettes. The use of traditional cigarettes should be controlled strictly in order to reduce the likelihood of e-cigarette use among university students.

Bullying Victimization and e-Cigarette Use among Middle and High School Students.

Bullying has been associated with several adverse health outcomes, including substance use. However, little is known about the association between bullying and e-cigarette use. This study examined the association between bully victimization and the frequency of e-cigarette use. Data from the 2016-2017 Canadian Student Tobacco, Alcohol and Drugs Survey were used (N=49,543). The target population consists of Canadian students enrolled in grades 7-12. Multivariable logistic regression models were used to examine the association between bullying victimization status and e-cigarette use. Among the students included in the study, 14.1% were bullied less than once a week. Bullying victimization was statistically significantly associated with higher odds of any e-cigarette use in the last 30 days. Likewise, those bullied daily or almost daily were more likely to use e-cigarettes more frequently compared to students not bullied. We found a statistically significant difference in analysis stratified by sex, with female bullying victims having higher odds of all measures of e-cigarette use. Bullying victims were significantly more likely to use an e-cigarette, and findings appeared to vary by sex. Female bullying victims had a higher likelihood of e-cigarette use.

E-Cigarette Outcome Expectancies among Nationally Representative Samples of Adolescents and Young Adults

Objectives: We conducted nationally representative surveys of adolescents and young adults to examine associations between e-cigarette outcome expectancies and e-cigarette use. Background: E-cigarette use among adolescents and young adults has grown rapidly in recent years, yet little research has examined the beliefs that may underlie this behavior among nationally representative samples. Methods: N = 1,298 adolescents (13–17) and 2,219 young adults (18–25) were surveyed using a probability-based web panel. Participants completed a survey that included a new outcome expectancy measure examining 3 positive (enjoyment, social influences, advantage over cigarettes) and 2 negative (health concerns, smoker association) expectancy domains and ever having used e-cigarettes [ever use]. Results: Confirmatory factor analyses demonstrated a good fit of the outcome expectancies’ factor structure to the data. All outcome expectancies were associated with e-cigarette use in both populations in univariate analyses. In multiple logistic regression models controlling for several covariates, higher expected enjoyment was positively associated with a greater likelihood of e-cigarette use (aOR = 2.10, p < .05) among adolescents. Among young adults, enjoyment (aOR = 3.08, p < .001) was positively associated with a greater likelihood of use while both health concerns (aOR = 0.70, p < .01) and smoker association (aOR = 0.73, p < .05) were negatively associated with e-cigarette use. Conclusions: This study suggests that expected enjoyment is robustly associated with e-cigarette use among both adolescents and young adults. Health concerns may also play a role in e-cigarette use. Implications for e-cigarette prevention efforts and future research directions are discussed.

E-Cigarettes and the Drug Use Patterns of Adolescents.

This study examines the role of e-cigarettes in the drug use patterns of adolescents. Of specific interest is whether adolescent e-cigarette users fall into a group of (1) youth who do not use traditional drugs of abuse or (2) polysubstance users. Using latent class analysis, we identify major "classes" of substance users on the basis of recent use of e-cigarettes, alcohol, marijuana, cigarettes, and prescription drugs. Analyses are conducted separately for adolescents in 8th, 10th, and 12th grades. Data come from 16 615 participants in the 2014 Monitoring the Future survey. Youth who do not use traditional drugs of abuse account for about 50% of e-cigarette users in 8th grade, 35% in 10th grade, and 17% in 12th grade. These youth come from a large "low-level users" group found in each grade, characterized by low probability of use for all substances (e-cigarette probability in this group for 8th graders = .046; 10th graders = .071; 12th graders = .027). Other e-cigarette users come from a smaller, "poly-users" group found in each grade, characterized by high-to-moderate probabilities (.83-.21) of using e-cigarettes and other substances. Specific to 12th grade is a third, additional polysubstance group characterized by high likelihood of e-cigarette use (.93). The proportion of e-cigarette users who do not use traditional drugs of abuse is larger at younger ages. Longitudinal panel studies starting at 8th and 10th grades may best inform the current debate on whether e-cigarette use is a risk or protective factor for future transition to the use of other substances. The proportion of e-cigarette users who do not use traditional drugs of abuse is larger at younger ages. Longitudinal panel studies starting at 8th and 10th grades may best inform the current debate on whether e-cigarette use is a risk or protective factor for future transition to the use of other substances.