Past 30-day E-cigarette Users Research Articles

E-cigarette and combustible cigarette cessation patterns, reasons, and methods among adolescents, young adults, and adults

Research is limited regarding adolescents’ and young adults’ (AYA) patterns, methods of, and reasons for cigarette or e-cigarette cessation. Further, while adults may try to use e-cigarettes to quit combustible cigarettes, little is known about how adults then quit e-cigarettes. This study utilizes a national, cross-sectional online survey of 6131 diverse participants aged 13–40 years to examine reasons for quitting e-cigarettes or cigarettes, quit methods, and quit attempt outcomes among AYAs and adults. In our sample, 3137 (51.2%) had ever used an e-cigarette, of whom 2310 (37.7%) were aged 13-24 years and 827 (13.5%) were 25-40 years old; 2387 (38.9%) had ever used a combustible cigarette (1440 [23.5%] were 13-24 years old and 947 [15.4%] were 25-40 years old). Among e-cigarette ever-users, 39.4% of 13–24-year-olds intended to quit in the next 6 months, and 36.9% had a serious plan for quitting in the next 30 days; 25.2% wanted to decrease the amount they used while 34.8% wanted to quit completely. Similar rates were found among e-cigarette ever users aged 25–40 years, as well as past 30-day e-cigarette users, cigarette ever-users, and past 30-day cigarette users across all ages. “Cold turkey” (41.0%) followed by “tried to cut down slowly by vaping/smoking less often or fewer puffs” (25.5%) was the most common quit method among e-cigarette ever-users and cigarette ever-users of all ages. Further study of effective tobacco cessation methods to help both AYAs and adults successfully quit nicotine, whether from cigarettes or e-cigarettes, is urgently needed.

Prospective study of e-cigarette use and respiratory symptoms in adolescents and young adults

RationaleElectronic cigarette (e-cigarette) aerosol contains volatile aldehydes, including flavourings and oxidant metals with known pulmonary toxicity.ObjectivesTo evaluate the associations of e-cigarette use with symptoms of wheeze, bronchitic symptoms and shortness...

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.

Consumption of JUUL vs. Other E-Cigarette Brands among U.S. E-Cigarette Users: Evidence from Wave 5 of the PATH Study.

This study examines the use of JUUL vs. other e-cigarette brands among U.S. youth (12–17 years), young adult (18–24 years), and adult (25 years and above) e-cigarette users. Data were from the Population Assessment of Tobacco and Health (PATH) study Wave 5 survey (2019). The study population was past 30-day e-cigarette users who knew the brand of e-cigarettes they usually/last used (N = 2569). JUUL use was reported by 65.2% of youth, 60.7% of young adult, and 25.6% of adult e-cigarette users in our study sample. The share of JUUL consumed in the past 30 days, measured by the total number of puffs, was 15.4% by youth, 55.5% by young adults, and 29.1% by adults. By contrast, the share of other e-cigarettes consumed was 4.2% by youth, 28.9% by young adults, and 66.9% by adults. Youth JUUL users were more likely to use e-cigarettes within 30 min after waking (aOR = 2.30, 95% CI: 1.12–4.75) than youth users of other brands of e-cigarettes. Additionally, youth e-cigarette users who currently smoked cigarettes were less likely to use JUUL (aOR = 0.55, 95% CI: 0.30–0.99). This study concludes that JUUL consumption was disproportionally higher among youth and young adults in the U.S. in 2019.

Preferences, use, and perceived access to flavored e-cigarettes among United States adolescents and young adults

BackgroundCiting concern over youth use, the Food and Drug Administration announced a prioritized enforcement policy against cartridge-based (reusable pod) e-cigarettes in non-menthol, non-tobacco flavors, effective February 2020. Data are needed regarding youth e-cigarette access and use behaviors following this policy. MethodsThis cross-sectional national (USA) online panel survey, conducted March/April 2021, included 2253 participants ages 14–20 who ever used e-cigarettes ≥3 times (73% past 30-day users). Participants reported their flavor preferences, use reasons, and perceived ease of access. Latent class analysis categorized participants according to their preferred e-cigarette flavors, and multinominal logistic regression identified sociodemographic and behavioral correlates of class membership. ResultsMost past 30-day e-cigarette users used reusable pod (77%) or modern disposable (68%) devices, ≥1 non-tobacco (92%), sweet (76%), and/or menthol flavors including fruit-ice (70%) (flavor and device categories not mutually exclusive). Most past 30-day users (70%) and non-users (63%) perceived it would be somewhat or very easy to acquire e-cigarettes in flavors they like. Latent class analysis identified four e-cigarette flavor preference classes: mint (34% of sample), no preference (29%), fruit/sweet (28%), and dislikes ≥1 flavor (10%). Relative to no preference, membership in fruit/sweet (RRR: 1.87; 95% CI: 1.37, 2.57) and mint (RRR: 3.85; 95% CI: 2.77, 5.36) classes was associated with using e-cigarettes ≥50 times. Fruit/sweet membership was inversely associated with combustible tobacco use (RRR: 0.50; 95% CI: 0.38, 0.66). ConclusionYoung e-cigarette users maintained ample access to flavored and cartridge-based products. Stronger access restrictions and enforcement are required to reduce youth e-cigarette use.

Influence of Flavors and Nicotine Concentration on Nicotine Dependence in Adolescent and Young Adult E-Cigarette Users

Objective: The objective of this study is to examine the relationships between e-cigarette flavors, nicotine concentration, and their interaction on measures of nicotine dependence. Methods: Survey data are drawn from a cross-sectional convenience sample of past 30-day e-cigarette users aged 15 to 24 years (N = 2037) collected between October 2020 and November 2020. Participants were asked to provide information about the e-cigarette products they used most regularly. Only those with available information on flavors (fruit, mint, menthol/ice, and tobacco), nicotine concentration (0-2.9%, 3-4.9%, and 5% or greater), and time to first vape after waking (within 30 minutes, greater than 30 minutes) were included in analyses (N = 1430). Generalized linear regression models were used with log link and binary distribution to assess the relationship between flavors, nicotine concentration, and nicotine dependence. Effect modification by nicotine concentration was assessed using an interaction term for flavors by nicotine concentration. Models were adjusted for age, race/ethnicity, gender, and financial situation. Findings: Fruit, mint, and menthol flavor user groups had a very similar dose-response relationship between nicotine concentration and prevalence of vaping within 30 minutes. These groups showed that the prevalence of vaping within 30 minutes gradually increased as nicotine concentration increased. Meanwhile, tobacco flavor user groups demonstrated a decrease in prevalence of vaping within 30 minutes, as nicotine concentration increased. Conclusion: Results highlight the need for understanding how e-cigarette product characteristics like flavors and nicotine concentration can facilitate nicotine dependence to e-cigarettes. Findings suggest that comprehensive e-cigarette product regulation of all flavors and reducing nicotine concentration will help to reduce the risk for nicotine dependence among young people.

Biomarkers of nicotine exposure correlate with the Hooked on Nicotine Checklist among adolescents in California, United States

BackgroundThe Hooked on Nicotine Checklist (HONC) has been used to assess nicotine dependence (loss of autonomy over tobacco) among adolescents. Existing HONC validation studies for non-cigarette products, such as electronic cigarettes (e-cigarettes), have generally not considered biomarkers of nicotine exposure. MethodsWithin a cross-sectional sample of California (USA) high school students (total N = 1396; mean age 15.2 years; 56% female; 54% Hispanic/Latinx), self-reported past 30-day users of any tobacco (including e-cigarettes) completed a modified 10-item HONC questionnaire and provided saliva samples (N = 318 samples, including N = 234 exclusive past 30-day e-cigarette users). Samples were analyzed for cotinine using liquid chromatography-tandem mass spectrometry (lower limit of quantification: 1.0 ng/mL). ResultsAcross four categories of HONC score corresponding to an increasing number of reported dependence symptoms (scores: 0, 1, 2–4, 5–10), the prevalence of quantifiable salivary cotinine increased among past 30-day tobacco users (20%, 21%, 38%, 55%, respectively, P-for-trend < 0.001) and among past 30-day exclusive e-cigarette users (15%, 22%, 31%, 42%, respectively, P-for-trend = 0.001). Among participants with quantifiable cotinine levels, HONC total score and cotinine were positively correlated among past 30-day tobacco users (n = 89; Spearman rho = 0.449; P < 0.001) and past 30-day exclusive e-cigarette users (n = 49; Spearman rho = 0.520; P < 0.001). HONC score was also associated with past 30-day frequency of tobacco product use and reported use of tobacco within 30 min of waking. ConclusionsThese results support the validity of HONC to assess nicotine dependence among adolescents. Dependence symptoms may be experienced at low levels of nicotine exposure.

Cooling e-cigarette flavors and the association with e-cigarette use among a sample of high school students.

IntroductionE-liquid flavor is typically presented by flavor category (e.g. menthol, mint, fruit, dessert). Cooling sensations produced by flavor additives such as menthol enhance appeal of e-cigarettes among youth, but not all e-liquids that produce cooling sensations are labeled as menthol. Sensory experiences produced by flavors may allow for a new way to capture e-cigarette flavor use. This study aims to examine use of flavors that produce cooling sensations among youth and its association with e-cigarette use behaviors.MethodsA 2019 survey of high school students (n = 4875) examined use of e-cigarette flavors that produced cooling sensations (cooling flavors) among past 30-day e-cigarette users. E-cigarette use behaviors (flavor use, nicotine use, frequency of use) were examined between those who did and did not use cooling flavors. A binary logistic regression was used to examine associations between vaping frequency, nicotine (vs. non-nicotine) use, and vaping cooling flavors while controlling for demographics, number of flavors vaped in the past month, and vaping age of onset.Results51.6% (n = 473/916) of the analytic sample endorsed vaping cooling flavors. There were no demographic differences by vaping cooling flavors. Vaping cooling flavors was associated with vaping more frequently (AOR:1.04,95% CI:1.03,1.05) and vaping nicotine (AOR:2.37,95% CI:1.53,3.67).ConclusionVaping cooling flavors was associated with greater nicotine vaping and frequency of e-cigarette use. Assessing sensory experience, such as cooling, in addition to flavor category may more fully capture e-cigarette flavor use and its impacts on youth e-cigarette use behaviors.

E-cigarette use and adverse respiratory symptoms among adolescents and Young adults in the United States

E-cigarette use among adolescents and young adults has been associated with adverse respiratory symptoms, including symptoms of asthma and bronchitis. This investigation examined whether such associations differ by primary type of e-cigarette device used. This cross-sectional study included data from four study populations in California and Connecticut, United States, ages 13–21 years (N = 10,483), who self-reported their tobacco use behaviors and health status from 2018 to 2020. Adverse respiratory symptoms were grouped as bronchitis, asthma exacerbation, and shortness of breath. Associations with e-cigarette use were examined by frequency of e-cigarette use (regardless of device type) and most-frequently use device type in the past 30 days (pod, pen/tank, disposable, or mod). Multivariable modeling accounted for demographic variables and use of other tobacco and cannabis. Results were pooled at the study level via random-effects meta-analysis. Across the four studies, e-cigarette use >5 days/month versus never use was associated with bronchitic symptoms (summary odds ratio, sOR: 1.56; 95% confidence interval, CI: 1.37, 1.77) and shortness of breath (sOR: 1.68; 95% CI: 1.35, 2.08) but not statistically significantly with asthma exacerbations (sOR: 1.36; 95% CI; 0.95, 1.95). Among past 30-day e-cigarette users, associations with respiratory symptoms did not differ by device type. In these populations, e-cigarette use was positively associated with symptoms of bronchitis and shortness of breath, but adjusted odds of symptoms did not differ meaningfully by device type. These findings suggest that risk of these respiratory outcomes is elevated among more frequent e-cigarette users regardless of device type used.

Stealth Vaping Among College Students on Four Geographically Distinct Tobacco-Free College Campuses: Prevalence and Practices.

To offset tobacco use among college students, many universities have implemented tobacco-free campus policies. Given how easily e-cigarette users can discreetly vape in places where it is prohibited without being detected (ie, stealth vape), it is important to assess whether students are subverting these policies. This study examined the prevalence of stealth vaping on-campus among students at multiple universities, including frequency and methods for stealth vaping. A convenience sample of college students was obtained from four geographically distinct, large, public universities with established policies prohibiting all forms of tobacco use on campus. Participants (N = 863 current e-cigarette users) reported on demographics and e-cigarette use. Those who previously stealth vaped on-campus (n = 422) completed additional questions, including common locations, techniques, and devices/e-liquids used for stealth vaping. Nearly half (48.9%) of past 30-day e-cigarette users reported previously stealth vaping on-campus. Among stealth vapers, 48.1% owned a smaller device for stealth vaping and 38.9% used e-liquids with low visibility vapors. Common on-campus stealth vaping locations included bathrooms, libraries, parking garages, and classrooms. Techniques used for stealth vaping included deep inhale, blowing a hit into one's clothes, and swallowing a hit. A large percentage of respondents commonly violated campus tobacco-free policies by stealth vaping. For such policies to be effective at reducing on-campus e-cigarette use, there is a need for enhanced monitoring and enforcement. More research is needed to better understand factors influencing stealth vaping behaviors and public health implications. This sample of college student e-cigarette users commonly violated campus smoke- and tobacco-free policies by stealth vaping on campus. Respondents used a range of methods (eg, smaller device and low visibility e-liquids) and locations (eg, bathrooms, libraries, and parking garages) for stealth vaping. If campus policies are to be effective at reducing on-campus e-cigarette use, there is a need for enhanced monitoring and enforcement. E-cigarette devices specifically designed and marketed to facilitate stealth vaping (eg, resembling USB flash drives and pens) may require regulatory action. More research is needed to better understand factors influencing stealth vaping behaviors and public health implications.

Effect of a hypothetical modified risk tobacco product claim on heated tobacco product use intention and perceptions in young adults

IntroductionModified risk tobacco product (MRTP) claims for heated tobacco products (HTPs) that convey reduced exposure compared with conventional cigarettes may promote product initiation and transition among young people. We assessed...

Youth Observation of E-Cigarette Use in or Around School, 2019

E-cigarette use increased dramatically among U.S. students during 2017-2019, and school plays an important role in preventing and reducing youth substance use. This study examines the prevalence and correlates of self-reported youth observation of e-cigarette use on school grounds. Data from the 2019 National Youth Tobacco Survey (N=19,018) were analyzed to examine the prevalence and factors associated with youth observation of e-cigarette use in or around the school. Multivariable logistic regressions were performed to assess the associations between youth observation of e-cigarette use and the susceptibility to initiate cigarettes or e-cigarettes. Analyses were conducted in 2020. In 2019, about 63.9% of students (16.8 million) reported noticing youth use of e-cigarettes in or around the school, with bathroom or locker room as the most common location (33.2%). Female (versus male) students; high-school (versus middle-school) students; non-Hispanic Whites (versus other groups); former and past 30-day e-cigarette users (versus never users); students with exposure to tobacco marketing (versus none); and students living with a household member using e-cigarettes (versus not) had higher odds of reporting the observation of vaping in schools. Among never tobacco users (n=11,518), observation of vaping in schools was associated with higher odds of being susceptible to smoking cigarettes (AOR=1.2, 95% CI=1.0, 1.3) and using e-cigarettes (AOR=1.7, 95% CI=1.6, 1.9), especially among middle-school students. E-cigarette use is common on school grounds, and youth observation of vaping in schools may increase the risk of initiating tobacco use in the future. School vaping policy and education programs are needed to curb youth e-cigarette use.

Young Adult E-cigarette Use and Retail Exposure in 6 US Metropolitan Areas.

Given the need to understand e-cigarette retail and its impact, we examined sociodemographic, tobacco and marijuana use, and e-cigarette retail experiences as correlates of (1) past 30-day e-cigarette use, (2) past 30-day advertising/media exposure, and (3) point-of-sale age verification among young adults. We analyzed baseline survey data (September-December, 2018) among 3006 young adults (ages 18-34) in 6 metropolitan areas (Atlanta, Boston, Minneapolis, Oklahoma City, San Diego, Seattle) in a 2-year longitudinal study. In this sample (Mage = 24.6, 42.3% male, 71.6% white, 11.4% Hispanic), 37.7% (N = 1133) were past 30-day e-cigarette users; 68.6% (N = 2062; non-users: 66.0%, users: 72.9%) reported past 30-day e-cigarette-related advertising/media exposure. Among e-cigarette users, vape shops were the most common source of e-cigarettes (44.7%) followed by online (18.2%). Among users, 34.2% were "almost always" asked for age verification. In multilevel logistic regression, e-cigarette use and advertising/media exposure were correlated (and both correlated with being younger). E-cigarette use also correlated with other tobacco product and marijuana use (and being male and white). Infrequent age verification correlated with commonly purchasing e-cigarettes online (and being older and black). Increased efforts are needed to reduce young adult advertising/media exposure and increase retailer compliance among retailers, particularly online and vape shops.

Prospective associations of e-cigarette use with cigarette, alcohol, marijuana, and nonmedical prescription drug use among US adolescents

BackgroundAs e-cigarette use continues to increase in the U.S., research is needed to understand its prospective risk for cigarette smoking and other substance use in young adulthood, including alcohol, marijuana, and nonmedical prescription drugs (NMPDs). MethodsThis study used data from the Monitoring the Future (MTF) study a nationally representative annual survey of 12th graders (modal age 18) in the US. The analytic sample included 2014–2016 MTF cohorts that were selected and completed follow up one year later (modal age 19; n = 717). Using logistic regression, we examined cross-sectional and prospective associations of past 30-day e-cigarette use with past 30-day cigarette, alcohol, marijuana, and NMPD use. We examined prospective associations among the full sample and associations with incidence of each of these substances among those who reported no history of use in 12th grade. ResultsIn cross-sectional analysis, those who reported past 30-day e-cigarette use at age 18 were more likely to report past 30-day cigarette use, alcohol use, marijuana use, and NMPD use at age 19. In multivariable longitudinal analysis, past 30-day e-cigarette users at age 18 were more likely to report past 30-day cigarette, marijuana, and NMPD use at age 19, including e-cigarette users who had no history of using these substances at age 18. ConclusionsThis study suggests that e-cigarette use may be an indicator of future substance use risk in young adulthood. Adolescent e-cigarette users may benefit from secondary prevention efforts to mitigate this risk.

Negative health symptoms reported by youth e-cigarette users: Results from a national survey of US youth

BackgroundE-cigarettes are the most prevalent tobacco product among US youth, but little is known about the health symptoms users experience. MethodsBetween August 2016 and May 2017, we conducted a nationally representative cross-sectional telephone survey of 975 US youth ages 13–17. Respondents who reported ever trying e-cigarettes were asked whether they ever experienced six physical health symptoms they thought were caused by e-cigarette use. We examined whether symptoms varied by demographics and tobacco use. ResultsApproximately 12.4% of respondents (n = 141) reported ever trying e-cigarettes. Of lifetime e-cigarette users, 37.0% reported past 30-day e-cigarette use, 17.2% reported past 30-day cigarette use, and 23.7% reported past 30-day use of another tobacco product. Most (63.3%) reported a symptom, most often cough (42.3%), followed by dizziness or lightheadedness (31.5%), headache or migraine (25.4%), dry or irritated mouth or throat (14.9%), shortness of breath (13.7%), change in or loss of taste (3.5%), and other (5.7%; nausea, dry eyes, earache, and tight chest). Headaches were more common among past 30-day e-cigarette users than non-users (43.8% vs. 14.6%). Shortness of breath was more common among past 30-day cigarette (33.8% vs. 9.5%) and other tobacco users (31.6% vs. 8.2%). Past 30-day cigarette users were also more likely to report any symptom (86.0% vs. 58.6%). ConclusionsMost youth e-cigarette users attribute health symptoms to their e-cigarette use. Past 30-day users were more likely to report certain symptoms than non-users. Findings can educate health practitioners and school nurses about common symptoms youth may experience and inform prevention messages.

Use of Flavored E-Cigarettes and the Type of E-Cigarette Devices Used among Adults and Youth in the US-Results from Wave 3 of the Population Assessment of Tobacco and Health Study (2015-2016).

The United States (U.S.) Food and Drug Administration has expressed concern about flavored e-cigarettes (e.g., JUUL brand) because they are appealing to youth who may be unaware that the product is addictive. The Population Assessment of Tobacco and Health Study Wave 3 provided data on flavor categories, type of e-cigarette product, and smoking status among past 30-day youth and adult e-cigarette users in the US. Most past 30-day youth and adult users reported using only one flavor category, with fruit (53% youth, 31% adult) being the most commonly reported category. Adults were far more likely to report using tobacco flavor alone, compared to any other individual flavor category or flavor category combinations (OR: 21.08, 95%CI: 5.92, 75.12). Whereas, youth were more likely to report using multiple flavor categories (OR: 2.03, 95%CI: 1.55, 2.65), with the most reported pairing being fruit and candy (36%). The variety of flavors on the market appeals to consumers of all ages. Although most past 30-day e-cigarette users reported only one flavor category, non-tobacco flavors were far more common among youth. Differences in flavor preferences among adult versus youth vapers may have implications for the role of flavors in both the initiation of youth vaping and adult vaping for smoking cessation.

Limited utility of detailed e-cigarette use measures: An analysis of NESARC-III

IntroductionThe heterogeneity of e-cigarette products and e-liquids pose challenges to surveillance of e-cigarette exposure. The goal of this study was to evaluate the internal consistency of e-cigarette use frequency, quantity, and duration measures in a national population-based survey. MethodsData were drawn from the 2012–2013 for the National Epidemiologic Survey on Alcohol and Related Conditions-III (n = 36,309; NESARC-III). Adults who used e-cigarettes/e-liquid during the past year (≤18 years old; n = 1,229) were asked about their age of first use, recency of use, quantity (i.e., cartridges, drops), nicotine concentration, and duration (hours). Several internal consistency parameters were compared for e-cigarette measures in past-year (n = 750) and past 30-day e-cigarette users (n = 472) overall, and by frequency of use (i.e., infrequent [≤3 days/month], non-daily [1–6 days/week], daily). ResultsThere were no significant differences in quantity, nicotine concentration, or duration by frequency of use in past 30-day e-cigarette users. One-third of past 30-day and almost half of past-year users did not know the nicotine concentration of their cartridge or e-liquid. Correlations between all e-cigarette use measures were low, with the highest correlations seen between e-liquid quantity and cartridge quantity in all past 30-day users (r = 0.28) and those reporting any e-liquid use (r = 0.40). Cronbach's alpha and mean interitem correlations were low across all user groups. ConclusionsLow to moderate correlation across e-cigarette measures in e-cigarette users implies low internal consistency of these measures in a population survey. Findings suggest measures such as quantity and nicotine concentration might more appropriate in samples of recent experienced e-cigarette users than in general population samples.

Youth and young adult exposure to and perceptions of news media coverage about e-cigarettes in the United States, Canada and England

News media coverage has the potential to shape awareness and perceptions of e-cigarettes, but little is known about youth and young adult exposure to e-cigarette news. We analyzed news exposure measures on Wave 1 of the ITC Youth Tobacco and E-cigarette Survey, conducted in Canada, England, and the U.S. Web-based surveys were completed by 16–19-year-olds in July/August 2017 (n = 12,064). The prevalence of exposure to e-cigarette news and its perceived valence is provided. Logistic regression was used to model the odds of news exposure, and the association between news exposure and e-cigarette harm perceptions, susceptibility, and quitting intentions. Overall, 17.1% of young people reported hearing or seeing e-cigarette news at least ‘sometimes’ in the past 30 days. The majority of those exposed (n = 2052) perceived the content of the news stories to be mostly negative (35.7%) or mixed (34.8%) about e-cigarettes, versus mostly positive (19%). Perceived exposure to mostly negative e-cigarette stories was lower among past 30-day e-cigarette users and youth in England. Participants exposed to mostly negative e-cigarette news were more likely to perceive that e-cigarettes cause at least some harm and, among past 30 day users, have intentions to quit e-cigarettes in the next month. Exposure to mostly positive news was associated with higher odds of e-cigarette susceptibility among never triers. Young people report exposure to e-cigarette news with varied perceptions of its valence. E-cigarette news exposure may shape e-cigarette harm perceptions and use intentions, as well as reflect existing beliefs and product interest.

Adverse symptoms users attribute to e-cigarettes: Results from a national survey of US adults

BackgroundLittle is known about the prevalence of adverse symptoms electronic cigarette (e-cigarette) users report experiencing. MethodsBetween August 2016 and May 2017, we conducted a nationally representative cross-sectional telephone survey of 4964 US adults age 18 and over. Respondents who reported ever trying e-cigarettes were asked whether they ever experienced six symptoms they thought were caused by e-cigarette use. In weighted analyses, we assessed whether symptoms varied by demographics, e-cigarette use frequency, and cigarette smoking status. ResultsApproximately one-fourth of respondents (n = 1,624, 26.8%) reported ever trying e-cigarettes. Most were current (40.3%) or former (30.7%) cigarette smokers, with 29.0% never smokers. Just over half (58.2%) reported at least one symptom and on average 1.6 (SE = 0.1) symptoms. Symptoms included cough (40.0%), dry or irritated mouth or throat (31.0%), dizziness or lightheadedness (27.1%), headache or migraine (21.9%), shortness of breath (18.1%), change in or loss of taste (12.9%), or other (6.2%; most commonly nausea, tight chest, congestion). Among past 30-day e-cigarette users, current and never cigarette smokers were more likely than former smokers to report any symptoms (AOR = 5.25, CI = 2.05–13.46 and AOR = 2.58, CI = 0.85–7.81, respectively). ConclusionsA majority of e-cigarette users reported at least one symptom, most commonly cough or dry or irritated mouth or throat. Former cigarette smokers who used e-cigarettes in the past 30 days were less likely than current or never smokers to report adverse symptoms of e-cigarette use. Future research should examine frequency of symptoms among different user groups to understand how e-cigarettes may influence public health.

Association Between Initial Use of e-Cigarettes and Subsequent Cigarette Smoking Among Adolescents and Young Adults

The public health implications of e-cigarettes depend, in part, on whether e-cigarette use affects the risk of cigarette smoking. To perform a systematic review and meta-analysis of longitudinal studies that assessed initial use of e-cigarettes and subsequent cigarette smoking. PubMed, EMBASE, Cochrane Library, Web of Science, the 2016 Society for Research on Nicotine and Tobacco 22nd Annual Meeting abstracts, the 2016 Society of Behavioral Medicine 37th Annual Meeting & Scientific Sessions abstracts, and the 2016 National Institutes of Health Tobacco Regulatory Science Program Conference were searched between February 7 and February 17, 2017. The search included indexed terms and text words to capture concepts associated with e-cigarettes and traditional cigarettes in articles published from database inception to the date of the search. Longitudinal studies reporting odds ratios for cigarette smoking initiation associated with ever use of e-cigarettes or past 30-day cigarette smoking associated with past 30-day e-cigarette use. Searches yielded 6959 unique studies, of which 9 met inclusion criteria (comprising 17 389 adolescents and young adults). Study quality and risk of bias were assessed using the Newcastle-Ottawa Scale and the Risk of Bias in Non-randomized Studies of Interventions tool, respectively. Data and estimates were pooled using random-effects meta-analysis. Among baseline never cigarette smokers, cigarette smoking initiation between baseline and follow-up. Among baseline non-past 30-day cigarette smokers who were past 30-day e-cigarette users, past 30-day cigarette smoking at follow-up. Among 17 389 adolescents and young adults, the ages ranged between 14 and 30 years at baseline, and 56.0% were female. The pooled probabilities of cigarette smoking initiation were 30.4% for baseline ever e-cigarette users and 7.9% for baseline never e-cigarette users. The pooled probabilities of past 30-day cigarette smoking at follow-up were 21.5% for baseline past 30-day e-cigarette users and 4.6% for baseline non-past 30-day e-cigarette users. Adjusting for known demographic, psychosocial, and behavioral risk factors for cigarette smoking, the pooled odds ratio for subsequent cigarette smoking initiation was 3.62 (95% CI, 2.42-5.41) for ever vs never e-cigarette users, and the pooled odds ratio for past 30-day cigarette smoking at follow-up was 4.28 (95% CI, 2.52-7.27) for past 30-day e-cigarette vs non-past 30-day e-cigarette users at baseline. A moderate level of heterogeneity was observed among studies (I2 = 60.1%). e-Cigarette use was associated with greater risk for subsequent cigarette smoking initiation and past 30-day cigarette smoking. Strong e-cigarette regulation could potentially curb use among youth and possibly limit the future population-level burden of cigarette smoking.