Use Of Other Tobacco Products Research Articles

E-cigarette use among high school students in the United States prior to the COVID-19 pandemic: Trends, correlates, and sources of acquisition

Detailed description of the prevalence and sources of e-cigarettes among youth is needed to inform effective regulatory policies. We used the Youth Risk Behavior Surveillance System data (2015–2019) to assess trends in current (past-30-day-use) and frequent (≥10 days in past-30-days) e-cigarette use among United States high schoolers before the COVID-19 pandemic. First, we assessed trends overall and then stratified by participants’ sociodemographic characteristics, use of other tobacco products, and experiences of psychosocial stress. We also evaluated past year quit attempts and the changing sources of e-cigarettes.Our sample size was 41,021 (15,356–2015; 12,873–2017; 12,792–2019). The prevalence of current e-cigarette use increased from 24.0% (95%CI:21.9%–26.3%) in 2015 to 32.7% (30.4%–35.1%) in 2019. The proportion of current users who reported frequent use also increased significantly from 22.6% (20.4%–24.8%) to 45.4% (42.7%–48.2%). Thus, an increasing proportion of US high school students who use e-cigarettes reported frequent use, indicating greater nicotine dependence. The increase in current and frequent e-cigarette use was more pronounced in youth who reported other substance use and psychosocial stressors such as bullying. Between 2017 and 2019, there was a decline in the proportion of youth who bought e-cigarettes online (6.9% to 3.2%) or from convenience stores (22.0% to 16.6%). Conversely, there was an increase in the proportion who borrowed (34.5% to 40.1%) or purchased e-cigarettes through other people (10.7% to 18.0%), indicating that most youth are evading age-related restrictions by obtaining e-cigarettes from other people. Finally, a considerable proportion of youth tobacco users are making quit attempts; 47.6% (45.1%–50.1%) in 2019.

Waterpipe smoking: Results from a population-based study in Qatar.

INTRODUCTIONWaterpipe smoking is common in the Eastern Mediterranean Region and is becoming more prevalent in Qatar. To better plan waterpipe smoking control strategies we aimed to: 1) determine the prevalence of waterpipe smoking and explore its patterns in Qatar; 2) describe the knowledge, attitudes, and practices related to smoking behaviors; 3) recognize locations of waterpipe smoking and symptoms experienced during waterpipe sessions; and 4) evaluate the frequency of waterpipe smoking and the initiation age.METHODSWe analyzed the data of a 7921 population-based survey of adults aged ≥18 years (nationals and expatriates), conducted in Qatar between March and December 2019. Out of 7105 surveys collected, 6904 were complete and included in the analysis.RESULTSOf the 6904, 570 (8.3%; 95% CI: 7.7–9.0) were waterpipe tobacco smokers, 425 (10.6%) males and 145 (5.1%) females. The highest prevalence of waterpipe smoking was reported among people aged 18–24 years (10.6%). Of the 575 waterpipe smokers, 56.3% (n=324) were exclusive waterpipe smokers. Use of other tobacco products among waterpipe smokers was higher among Qataris (52.3%) than expatriates (37.7%). Waterpipe cafés were the most common location for waterpipe smoking, however, females preferred restaurants; 83.3% reported that waterpipe smoking is harmful, while 39.3% considered that it is less harmful than cigarette smoking.CONCLUSIONSWaterpipe smoking prevalence is considerably high in Qatar, the second form of tobacco used. The formulation of new policies and enforcement of regulatory restrictions on waterpipe smoking are essential to reduce its uptake. Expansion in tobacco cessation services for women and poly-tobacco users is needed.

Correlates of tobacco product initiation among youth and young adults between waves 1–4 of the population assessment of tobacco and Health (PATH) study (2013–2018)

IntroductionWhile risk factors for cigarette smoking among youth and young adults are well-documented, less is known about the correlates of initiation of other tobacco products. This study aims to provide estimates and correlates of initiation among U.S. youth and young adults. MethodsData on youth aged 12–17 (n = 10,072) and young adults aged 18–24 (N = 5,727) who provided information on cigarettes, electronic nicotine delivery systems (ENDS), cigars, pipe, hookah and smokeless tobacco use in Wave 1 (W1: 2013–2014)-Wave 4 (W4: 2016–2018) of the nationally-representative PATH Study were used to calculate ever use initiation and correlates of initiation by W4. ResultsNearly 6 million youth and 2.5 million young adults used tobacco for the first time between W1-W4. Approximately one quarter of youth and young adult ENDS never users initiated ENDS between W1-W4 of the PATH Study. Among youth, use of other tobacco products, ever substance use, and high externalizing problems were associated with initiation of most products. Among young adults, use of other tobacco products and ever substance use were associated with initiation of most products. In both youth and young adults, Hispanics were more likely to initiate hookah use than their non-Hispanic White counterparts. While male sex was a risk factor for most tobacco product initiation across both age groups, it was not associated with hookah initiation. ConclusionsCigarette and non-cigarette products shared many correlates of initiation, although there are noteworthy demographic differences. Findings can help tailor product specific interventions to reach populations at risk during preliminary stages of use.

Perceived stress and E-cigarette use during emerging adulthood: A longitudinal examination of initiation, progression, and continuation

E-cigarettes are the most commonly used tobacco product among youth and young adults in the US. Limited research has examined how stress impacts e-cigarette use among young people. We examine the longitudinal associations between perceived stress scale (PSS) score and e-cigarette use behaviors among a diverse cohort of emerging adults. We analyzed two waves of data collected in Fall 2019 (baseline) and Spring 2020 (6-month follow-up) of the Texas Adolescent Tobacco and Marketing Surveillance (TATAMS) system. Participants were classified into three mutually exclusive subsamples at baseline: (1) n = 1177 never e-cigarette users; (2) n = 806 ever but not current (past 30-day) e-cigarette users (i.e., ever users); and (3) n = 257 current (past 30-day) e-cigarette users. Three multivariate logistic regression models examined the relationship between PSS at baseline and: (1) initiation among never users; (2) progression to current use among ever users; and (3) continuation among current users, at 6-month follow-up. PSS scores were standardized using z-scores. Models controlled for race/ethnicity, sex, age, ever marijuana use, and ever use of other tobacco products. Mean age ranged from 18.6 to 19.4 among cohorts. Risk for e-cigarette progression among ever users (aOR: 1.30; 95%CI: 1.01–1.69) and e-cigarette continuation among current users (aOR: 1.33 (95%CI: 1.01–1.75) increased with each unit increase in PSS score at baseline. PSS at baseline was not associated with e-cigarette initiation among never users. PSS predicted greater risk of e-cigarette progression and continuation but not initiation among a diverse cohort of emerging adults. E-cigarette prevention and cessation strategies should consider perceived stress an important risk factor for e-cigarette use during emerging adulthood.

A Daily Assessment Study of Smoking Cessation After a Head and Neck Cancer Diagnosis.

This intensive longitudinal study describes key events in the process of smoking cessation after a new head and neck cancer (HNC) diagnosis. Prior longitudinal studies show some cancer patients quit, while others continue to smoke, but details about the pattern in which these discrete outcomes arise are scarce. This study is meant to help rectify this gap in the literature. Participants were 42 HNC patients who reported current smoking at enrollment. Participants were recruited from an outpatient oncology clinic and completed a baseline questionnaire prior to begin a 30-day daily assessment. Few participants (9.52%) achieved 30-day continuous abstinence from smoking. On average, participants reported 9.64 ± 11.93 total days of abstinence. Nearly, all (94.44%, n = 34) participants made at least one quit attempt, with an average of 16.94 ± 11.30 quit attempt days. Fewer participants were able to achieve a 24-hour quit attempt (52.78%, n = 19), with a corresponding average of 5.50 ± 8.69 24-hour days. The median time to first 24-hour quit attempt was 13 days after enrollment. Based on smoking behavioral patterns, participants were categorized into five groups, the most common being "persistent attempters," which involved unsuccessful quit attempts throughout the study. Only 45% of participants (n = 19) used evidence-based treatment, the most common being cessation medication. This intensive longitudinal study found that cancer diagnosis can spur a lot of efforts to quit smoking. Unfortunately, this study suggests that many quit attempts are short lived, possibly a result of an absence or insufficient use of evidence-based treatments. For adults who are current smokers at the time of cancer diagnosis, there is a high likelihood of persistent cigarette smoking and use of other tobacco products in the weeks and months after a cancer diagnosis. Furthermore, this study shows that while a lot of quit attempts may occur, few are successful, which may be partly attributable to the low use of evidence-based tobacco treatment. Future research with cancer patients should aim to identify predictors of quit attempts and abstinence as well as treatment utilization.

Tobacco Use and Respiratory Symptoms Among Adults: Findings From the Longitudinal Population Assessment of Tobacco and Health (PATH) Study 2014-2016.

IntroductionWe examined the relationship between current tobacco use and functionally important respiratory symptoms.MethodsLongitudinal cohort study of 16 295 US adults without COPD in Waves 2–3 (W2–3, 2014–2016) of the Population Assessment of Tobacco and Health Study. Exposure—Ten mutually exclusive categories of tobacco use including single product, multiple product, former, and never use (reference). Outcome—Seven questions assessing wheezing/cough were summed to create a respiratory symptom index; cutoffs of ≥2 and ≥3 were associated with functional limitations and poorer health. Multivariable regressions examined both cutoffs cross-sectionally and change over approximately 12 months, adjusting for confounders.ResultsAll tobacco use categories featuring cigarettes (>2/3’s of users) were associated with higher risk (vs. never users) for functionally important respiratory symptoms at W2, for example, at symptom severity ≥ 3, risk ratio for exclusive cigarette use was 2.34 [95% CI, 1.92, 2.85] and for worsening symptoms at W3 was 2.80 [2.08, 3.76]. There was largely no increased symptom risk for exclusive use of cigars, smokeless tobacco, hookah, or e-cigarettes (adjustment for pack-years and marijuana attenuated the cross-sectional e-cigarette association from 1.53(95% CI 0.98, 2.40) to 1.05 (0.67, 1.63); RRs for these products were also significantly lower compared to exclusive use of cigarettes. The longitudinal e-cigarette–respiratory symptom association was sensitive to the respiratory index cutoff level; exclusive e-cigarette use was associated with worsening symptoms at an index cutoff ≥ 2 (RR = 1.63 [1.02, 2.59]) and with symptom improvement at an index cutoff of ≥ 3 (RR = 1.64 [1.04, 2.58]).Conclusions Past and current cigarette smoking drove functionally important respiratory symptoms, while exclusive use of other tobacco products was largely not associated. However, the relationship between e-cigarette use and symptoms was sensitive to adjustment for pack-years and symptom severity.ImplicationsHow noncigarette tobacco products affect respiratory symptoms is not clear; some studies implicate e-cigarettes. We examined functionally important respiratory symptoms (wheezing/nighttime cough) among US adults without COPD. The majority of adult tobacco users smoke cigarettes and have higher risk of respiratory symptoms and worsening of symptoms, regardless of other products used with them. Exclusive use of other tobacco products (e-cigarettes, cigars, smokeless, hookah) was largely not associated with functionally important respiratory symptoms and risks associated with their use was significantly lower than for cigarettes. The association for e-cigarettes was greatly attenuated by adjustment for cigarette pack-years and sensitive to how symptoms were defined.

Age of initiation of cigarillo use among young adults: Findings from the Population Assessment of Tobacco and Health (PATH) study, 2013-2017.

SignificanceYoung adults, especially those who identify as racial/ethnic minorities, are legal targets of the tobacco industry. Cigarillo initiation is a risk among these vulnerable groups. Estimating the age of initiation of cigarillo use among young adults may inform the timing of prevention interventions.MethodsWeighted interval-censored survival analyses of the Population Assessment of Tobacco and Health (PATH) young adult (ages 18–24 at their first wave of adult participation) annual datasets were conducted (2013–2017). Young adult never cigarillo users (n = 7,101; represents N = 24,023,488) at their first wave of adult participation (2013–2016) were followed-up through 2014–2017 to estimate the age of initiation of ever, past 30-day and fairly regular cigarillo use outcomes. Differences by sex and by race/ethnicity, accounting for previous use of other tobacco products and marijuana and blunt use, were assessed using weighted interval-censored Cox proportional hazards models.ResultsAmong PATH young adults, by age 21, 5.8% initiated ever cigarillo use, 4.1% initiated past 30-day cigarillo use, and 1.4% initiated fairly regular cigarillo use. By age 26, 15% initiated ever cigarillo use, and 10.4% initiated past 30-day cigarillo use. Males had higher risk of initiating ever (AHR: 1.63, 95% CI: 1.37–1.95) and past 30-day cigarillo use (AHR: 1.65, 95% CI: 1.32–2.06) at earlier ages than females. Non-Hispanic Blacks had higher risk of initiating ever (AHR: 2.81, 95% CI: 2.26–3.50), past 30-day (AHR: 4.88, 95% CI: 2.95–5.09) and fairly regular cigarillo use (AHR: 4.62, 95% CI: 2.70–7.93) at earlier ages than non-Hispanic Whites. Hispanics had higher risk of initiating past 30-day cigarillo use at earlier ages than non-Hispanic Whites (AHR: 1.51, 95% CI: 1.12–2.03). Non-Hispanic Other race (i.e., Asian, multiracial, etc.) had lower risk of initiating ever (AHR: 0.43, 95% CI: 0.28–0.65) and past 30-day cigarillo use (AHR: 0.40, 95% CI: 0.26–0.63) at earlier ages than Non-Hispanic Whites.ConclusionAlong with those aged 21 and younger, interventions should target young adults over the age of 21, specifically males, non-Hispanic Black and Hispanic young adults, to stall initiation and progression of cigarillo use behaviors.

Automated Detection of Vaping-Related Tweets on Twitter During the 2019 EVALI Outbreak Using Machine Learning Classification.

There are increasingly strict regulations surrounding the purchase and use of combustible tobacco products (i.e., cigarettes); simultaneously, the use of other tobacco products, including e-cigarettes (i.e., vaping products), has dramatically increased. However, public attitudes toward vaping vary widely, and the health effects of vaping are still largely unknown. As a popular social media, Twitter contains rich information shared by users about their behaviors and experiences, including opinions on vaping. It is very challenging to identify vaping-related tweets to source useful information manually. In the current study, we proposed to develop a detection model to accurately identify vaping-related tweets using machine learning and deep learning methods. Specifically, we applied seven popular machine learning and deep learning algorithms, including Naïve Bayes, Support Vector Machine, Random Forest, XGBoost, Multilayer Perception, Transformer Neural Network, and stacking and voting ensemble models to build our customized classification model. We extracted a set of sample tweets during an outbreak of e-cigarette or vaping-related lung injury (EVALI) in 2019 and created an annotated corpus to train and evaluate these models. After comparing the performance of each model, we found that the stacking ensemble learning achieved the highest performance with an F1-score of 0.97. All models could achieve 0.90 or higher after tuning hyperparameters. The ensemble learning model has the best average performance. Our study findings provide informative guidelines and practical implications for the automated detection of themed social media data for public opinions and health surveillance purposes.

Tobacco 21's Impact Amid the E-Cigarette Surge.

Nationwide implementation of Tobacco 21 (raising the legal sales age for all tobacco products to 21) is occurring against the backdrop of an electronic cigarette (e-cigarette) epidemic among young people, which makes Tobacco 21 evaluation difficult. To address this issue, we examined young adult use of e-cigarettes separately from use of other tobacco products. Our objective was to determine whether use changed after Tobacco 21 implementation and whether those changes differed by product. In Columbus, Ohio, which began enforcing Tobacco 21 in 2017, we surveyed incoming first-year undergraduates at a large, public university in 2016 (Cohort 1; n = 529) and re-contacted them in 2018. We surveyed a new sample of incoming first-year students in 2018 (Cohort 2; n = 611). Survey items assessed tobacco use, sources for obtaining tobacco, and attitudes surrounding Tobacco 21. Both cross-sectional (Cohort 1 vs Cohort 2) and prospective (pre-post Tobacco 21 in Cohort 1) analyses indicated a slight decline in most tobacco use from 2016 to 2018, but e-cigarette use more than doubled during the same period. Students enrolled throughout the transition to Tobacco 21 (Cohort 1) perceived little effect of Tobacco 21 on peer use. The largest proportions (35.3%-43.5%) of combustible tobacco were obtained outside Columbus; 61.8% of e-cigarette users reported obtaining e-cigarettes through borrowing. Tobacco 21 was associated with reductions in combustible and smokeless tobacco use, but its impact was not sufficient to curb the surge in e-cigarette use. Tobacco 21 should be contextualized as part of a broader network of tobacco control efforts, including additional youth-access regulations, that may be needed to address e-cigarette use among young people.

Who mixes tobacco with cannabis and does mixing relate to nicotine dependence?

BackgroundCannabis users who mix tobacco with cannabis are exposed to nicotine in the tobacco. We identified characteristics of young adult cannabis users who mix and investigated whether mixing frequency is associated with nicotine dependence (ND). MethodsData were collected in self-report questionnaires in 2017–20 from 788 young adults (44% male; mean (SD) age 30.6 (1.0) years) participating in a longitudinal investigation of the natural course of ND. Using multivariable logistic regression, we assessed whether any of 16 sociodemographic, lifestyle, psychosocial or other characteristics were associated with mixing among 313 past-year cannabis users. We also assessed whether mixing frequency was associated with ND among 289 past-year cannabis users who had ever smoked cigarettes controlling for age, sex, and other sources of nicotine (i.e., number of cigarettes smoked, other tobacco products, second-hand smoke exposure). ResultsOf 788 participants, 40 % (n = 313) reported past-year cannabis use. Of these, 150 (48 %) reported mixing. Younger age, lower education and income, past-year cigarette use, use of other tobacco products and illicit drugs, poor coping skills and gambling were associated with mixing. Number of ICD-10 ND criteria endorsed was associated with mixing < weekly (b(95 % CI) = 0.3(0.02,0.7)) and weekly/daily (0.5(0.1,0.9)) after controlling for other sources of nicotine. ConclusionMixing is associated with ND and therefore may threaten tobacco control efforts by rendering quitting cigarette smoking more difficult among smokers who mix tobacco with cannabis. Mixing tobacco with cannabis should be considered as an additional source of nicotine exposure in studies of ND in young people.

Age of e-cigarette initiation in USA young adults: Findings from the Population Assessment of Tobacco and Health (PATH) study (2013-2017).

IntroductionThere is a lack of research prospectively estimating the age of e-cigarette initiation in U.S. young adults.MethodsSecondary analysis of PATH young adults across 2013–2017 (waves 1–4) were conducted. We prospectively estimated age of initiation of: ever, past 30-day, and fairly regular e-cigarette use using weighted interval-censoring survival analyses. Interval-censoring Cox proportional hazard models adjusting for sex, race/ethnicity, and previous use of six other tobacco products (cigarettes, traditional cigars, filtered cigars, cigarillos, hookah, and smokeless tobacco) were fitted for each of the three e-cigarette initiation outcomes.ResultsAmong never e-cigarette users, by age 21, 16.8% reported ever use, 7.2% reported past 30-day use, and 2.3% reported fairly regular e-cigarette use. Males had increased risk of initiating ever, past 30-day, and fairly regular e-cigarette use at earlier ages compared to females. Hispanic young adults had increased risk of initiating ever and past 30-day e-cigarette use at earlier ages compared to Non-Hispanic White young adults. Previous use of other tobacco products before e-cigarette initiation increased the risk of an earlier age of e-cigarette initiation.ConclusionPrevention and education campaigns should focus on young adults in order to alleviate the public health burden of initiating e-cigarette use at earlier ages.

Age of Initiation of Dual Tobacco Use and Binge Drinking among Youth (12-17 Years Old): Findings from the Population Assessment of Tobacco and Health (PATH) Study.

Earlier exposure to binge drinking and tobacco use is associated with higher odds of substance use disorders. Using national youth data from the PATH study, we prospectively estimate the age of initiating past 30-day use of (1) cigarettes, e-cigarettes, and binge drinking, and (2) cigarettes, cigarillos, and binge drinking. Cox proportional hazard models were used to estimate differences in the age of initiation by sex, race/ethnicity, and previous use of other tobacco products. By age 21, 4.4% (95% CI: 3.7–5.2) and 2.0% (95% CI: 1.2–2.8) of youth reported initiation of past 30-day use outcomes (1) and (2), respectively. After controlling for sex and previous use of other tobacco products, statistically significant differences in the age of initiation by race/ethnicity were found for each outcome: Hispanic and non-Hispanic Black youth were less likely than non-Hispanic White youth to initiate past 30-day use of both outcomes (1) and (2) at earlier ages. Although the initiation of both outcomes remained relatively low by age 21, these incidences represent 1.56 million and 700,000 youth, respectively. This study provides the public with evidence to identify the particular ages at which education campaigns may be most effective to prevent youth from initiating these three substances. Further research is needed to estimate the age of initiation of other dual tobacco use patterns with binge drinking.

Co-occurring substance use and psychological distress among exclusive e-cigarette use and other tobacco use among sexual and gender minorities in Texas

BackgroundThere is a dearth of literature on sexual and gender minority (SGM) only data that examines the association between tobacco use, co-occurring substance use, and psychological distress. MethodsUsing SGM-only primary data collected between March 2016 and January 2017, participants were categorized based on recent tobacco use and prevalence estimates were calculated for exclusive e-cigarette use and use of other tobacco products. The strength of the association between tobacco use, recent hazardous alcohol use, illicit substance use, and having a diagnosis for depression, anxiety, or PTSD was estimated. Bivariate and adjusted multinomial logistic regression analyses were used to obtain estimates. ResultsA third of participants (32.91%) reported recent tobacco use. Of these, 8.79% were exclusive e-cigarette users and 24.12% used other tobacco products. Compared to non-tobacco users, e-cigarette users were more likely to have recently used illicit drugs (RRR= 3.00 [1.89, 4.77]) and participated in a substance use treatment program (RRR= 7.98 [1.76, 36.15]). Participants categorized as using other tobacco products, when compared to non-tobacco users, were more likely to have recently used illicit drugs (RRR= 2.05 [1.46, 2.86]), engaged in hazardous drinking (RRR= 2.27 [1.63, 3.16]), and participated in a substance use treatment program (RRR= 9.53 [3.14, 28,88]). They were also more likely to have been recently diagnosed with PTSD (RRR= 3.40 [1.82, 6.34]). ConclusionsSGM tobacco users are more likely to engage in hazardous drinking and illicit substance use and access substance use treatment services. There is an opportunity to reduce tobacco use among SGM individuals by developing, implementing, and evaluating tailored tobacco cessation interventions within substance use treatment facilities.

Age of initiation of hookah use among young adults: Findings from the Population Assessment of Tobacco and Health (PATH) study, 2013-2017.

To prospectively estimate the age of initiation of ever, past 30-day, and fairly regular hookah use among young adults (ages 18-24) overall, by sex, by race/ethnicity, and to explore the association of prior use of other tobacco products with these hookah use behaviors. Secondary data analyses of the first four waves (2013-2017) of the PATH study, a nationally representative longitudinal cohort study of US young adults. Young adult never hookah users at the first wave of adult participation in PATH waves 1-3 (2013-2016) were followed-up into waves 2-4 (2014-2017) to estimate the age of initiation of three outcomes: (i) ever use, (ii) past 30-day use, and (iii) fairly regular hookah use. Weighted interval-censoring Cox proportional hazards regression models were used to examine the differences in the estimated age of initiation by sex and by race/ethnicity while controlling for the total number of other tobacco products ever used at participants' first wave of PATH participation. In addition, to examine if prior use of other tobacco products was associated with the age of hookah initiation behaviors, six additional Cox models are reported for each hookah initiation behaviors. The largest increase in hookah use occurred between ages 18 and 19: 5.8% for ever use and 2.7% for past 30-day hookah use. By age 21, 10.5%, 4.7% and 1.2% reported initiation of ever, past 30-day and fairly regular hookah use, respectively. There were statistically significance differences in the age of initiation of hookah use behaviors by race/ethnicity. Educational interventions should target young adults before the age of 21, focusing efforts specifically on males, non-Hispanic Blacks and Hispanics, to stall initiation and progression of hookah use behaviors.

Trends in Nicotine Product Use Among US Adolescents, 1999-2020

With increasing e-cigarette use among US adolescents and decreasing use of other tobacco products, it is unclear how total use of nicotine products, and its long-term health risks, have changed. The Centers for Disease Control and Prevention's standard measure-any tobacco product use in the past 30 days-considers neither frequency of use nor product risk implications. To investigate how nicotine product use, including frequency of use, and its associated risks have changed among middle school and high school students since 1999. This cross-sectional study used data from the 1999-2020 National Youth Tobacco Survey, an in-school survey of a nationally representative sample of students in grades 6 through 12; each survey recruited between 15 000 and 36 000 participants. Nicotine product use in the past 30 days. Use of nicotine products assessed by nicotine product days (NPDs), the number of days that the average student consumed these products in the past 30 days. Risk-adjusted NPDs account for differential long-term health risks of various products. This study included 16 years of cross-sectional survey data. Each survey recruited between 15 000 and 36 000 participants in grades 6 through 12 (male students: mean, 50.4% [minimum, 48.5%; maximum, 58.4%]; mean age, 14.5 years [minimum, 14.0 years; maximum, 14.7 years]). Nationally representative cross-sectional data for high school students showed that NPDs decreased steadily from 5.6 days per month in 1999 (95% CI, 5.0-6.2 days per month) to 2.2 days per month in 2017 (95% CI, 1.9-2.6 days per month), increased to 4.6 days per month in 2019 (95% CI, 4.1-5.1 days per month), and then decreased to 3.6 days per month in 2020 (95% CI, 3.0-4.1 days per month). For a risk weight of 0.1 for e-cigarettes, compared with combustible products, risk-adjusted NPDs decreased from 2.5 days per month in 2013 (95% CI, 2.2-2.9 days per month) (prior to the popularity of e-cigarettes) to 2.0 days per month in 2019 (95% CI, 1.6-2.5 days per month) and 1.4 days per month in 2020 (95% CI, 1.0-1.8 days per month). However, with a risk weight of 1.0 for e-cigarettes (identical to that of combustible products), risk-adjusted NPDs increased to 5.3 days per month in 2019 (95% CI, 4.4-6.2 days per month) and 3.9 days per month in 2020 (95% CI, 3.1-4.7 days per month). Similar trends were found for middle school students. This study suggests that NPDs represent an improvement, albeit an imperfect one, compared with any 30-day tobacco product use by incorporating the frequency of use of various products. By distinguishing products, NPDs permit consideration of the health consequences associated with different mixes of products over time. Health risks of adolescent nicotine product use could have decreased during vaping's popularity if assessment of the long-term risks associated with vaping compared with those of smoking is low. There is a need to closely monitor youth nicotine and tobacco product use patterns.

Electronic Cigarette Cessation among Adolescents and Young Adults

Background E-cigarette use is common among adolescents and young adults, yet little is known about e-cigarette cessation among this group. The current study assessed e-cigarette cessation attempts, interest in e-cigarette cessation, and methods of e-cigarette cessation most favored by young e-cigarette users. Methods A cross-sectional survey was administered via Facebook and Instagram between February and April 2019 to enroll current, regular e-cigarette using adolescents and young adults who reported non-regular use of other tobacco products. Participants included 212 (51.4% female) adolescents and young adults (14 to 21 years of age) who reported six or more days of e-cigarette use and less than four days of other tobacco product use in the last 30 days. Results More than half (n = 110; 51.9%) of the participants reported at least one past serious e-cigarette quit attempt. Among those, the average number of past quit attempts was 2.9 (SD = 3.9). Of the 157 (74.1%) participants who indicated they were interested in quitting e-cigarettes, 78 (49.7%) endorsed health risks as their primary reason for wanting to quit e-cigarettes. The most frequently endorsed intervention methods to aid in e-cigarette cessation were those delivered via digital methods, such as smartphone apps. Conclusion The current study provides preliminary data to support continued development of e-cigarette cessation treatments for adolescents and young adults. Future research should evaluate the potential use of digital methods to aid in e-cigarette cessation.

Assessing Electronic Nicotine Delivery Systems Use at NCI-Designated Cancer Centers in the Cancer Moonshot-funded Cancer Center Cessation Initiative.

Assessing tobacco product use and delivering tobacco dependence treatment is an essential part of cancer care; however, little is known about electronic nicotine delivery systems (ENDS) or e-cigarette use assessment in cancer treatment settings. Given the importance of tailoring tobacco treatment, it is critical to understand how ENDS use is assessed in the electronic health record (EHR) in cancer care settings. Two questionnaires were completed by tobacco treatment program leads at 42 NCI-Designated Cancer Centers in the Cancer Center Cessation Initiative (January 1 to June 30 and July 1 to December 31, 2019). Items assessed how often smoking status and ENDS use were recorded in the EHR. An open-ended item recorded the text and response categories of each center's ENDS assessment question. All 42 centers assessed smoking status at both time periods. Twenty-five centers (59.5%) assessed ENDS use in the first half of 2019, increasing to 30 (71.4%) in the last half of 2019. By the end of 2019, 17 centers assessed smoking status at every patient visit while six assessed ENDS use at every visit. A checkbox/drop-down menu rather than scripted text was used at 30 centers (73.2%) for assessing smoking status and at 18 centers (42.9%) for assessing ENDS use. Our findings underscore the gap in systematic ENDS use screening in cancer treatment settings. Requiring ENDS use measures in the EHR as part of quality measures and providing scripted text scripts to providers may increase rates of ENDS use assessment at more cancer centers. PREVENTION RELEVANCE: This study identifies a gap in the systematic assessment of ENDS use among patients seen at 42 NCI-Designated cancer centers. Requiring the systematic assessment of both ENDS use and use of other tobacco products can inform evidence-based treatment of tobacco dependence and lead to improved cancer treatment outcomes.

The Relationship Between Trauma Exposure and Adult Tobacco Use: Analysis of the National Epidemiologic Survey on Alcohol and Related Conditions (III).

Previous research has examined cigarette smoking in trauma exposed populations. However, the relationships between trauma exposure and use of other tobacco products (eg, cigars, e-cigarettes) and specific trauma exposure characteristics that may be associated with tobacco use are understudied. Using the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions-III (N = 36 151 adults), we conducted weighted bivariate analyses of tobacco use among participants with no trauma exposure, trauma exposure, and trauma exposure with post-traumatic stress disorder (trauma + PTSD), stratified by tobacco product use. We also performed weighted logistic regressions testing relationships between trauma exposure and tobacco use, controlling for behavioral health (BH) conditions (mood, anxiety, substance use, personality disorders) and sociodemographics. Approximately 44% of participants had experienced trauma; 6% experienced trauma + PTSD. Trauma exposed participants had a higher prevalence of tobacco use (30%--46% vs. 22%) and poly-tobacco use (34%--35% vs. 28%) than unexposed participants. Cigarettes were the most used tobacco product; trauma + PTSD (19%), and trauma (15%) participants had a higher prevalence of e-cigarette use than unexposed participants (11%). Trauma exposure was associated with current tobacco use (AOR = 1.36 trauma + PTSD; 1.23 trauma) (but not former use), particularly among participants exposed to violence/abuse (AOR = 1.23). Personality and substance use disorders were strongly associated with current and former tobacco use. Trauma exposure, PTSD, and experiences of violence/abuse are associated with current tobacco use. BH conditions may also play a role in current and former tobacco use. Recognizing and addressing trauma exposure and BH conditions among tobacco users may improve cessation rates in these populations. This study contributes to research on tobacco use disparities in behavioral health populations by providing a comprehensive examination of tobacco use in trauma exposed individuals. Prior research has examined cigarette smoking, but not other tobacco product use in these populations. This study presents findings on multiple tobacco use behaviors (tobacco product, poly-tobacco use, cessation attempts) in trauma exposed populations and characteristics of trauma exposure (severity, type of traumatic event) associated with tobacco use. These findings underscore the importance of further examining the implications of trauma exposure for tobacco use and of screening and addressing trauma in cessation treatment.

ES24.02 The Rationale for FDA (and EMA) Regulatory Review of Tobacco Use in Clinical Trials

ES24.02 The Rationale for FDA (and EMA) Regulatory Review of Tobacco Use in Clinical Trials

Prevalence and trends in tobacco use among adolescents aged 13–15 years in 143 countries, 1999–2018: findings from the Global Youth Tobacco Surveys

Tobacco use is a leading preventable cause of morbidity and mortality worldwide. Little is known about recent prevalence and trends in tobacco use among adolescents globally. We aimed to assess the recent global prevalence of tobacco use in young adolescents and the secular trends in prevalence between 1999 and 2018. We used the most recent Global Youth Tobacco Surveys data on adolescents aged 13-15 years from 143 countries or territories that had done at least one survey between Jan 1, 2010, and Dec 31, 2018, to assess the recent prevalence of tobacco use; and data from 140 countries that had done two or more surveys between Jan 1, 1999, and Dec 31, 2018, to assess the trends in the prevalence of tobacco use. 530 234 adolescents were included from the 143 countries that had done at least one survey between 2010 and 2018. 1 192 312 adolescents were included from the 140 countries that had done two or more surveys between 1999 and 2018. The most recent global prevalence of cigarette smoking was 11·3% (95% CI 10·3-12·3) in boys and 6·1% (5·6-6·6) in girls, based on cigarette smoking on at least 1 day during the past 30 days, 6·0% (5·5-6·6) and 2·6% (2·4-2·9) based on smoking on at least 3 days, and 4·2% (3·8-4·6) and 1·6% (1·4-1·8) based on smoking on at least 6 days. The most recent prevalence of the use of tobacco products other than cigarettes (eg, chewing tobacco, snuff, dip, cigars, cigarillos, pipe, electronic cigarettes) on at least 1 day during the past 30 days was 11·2% (9·9-12·6) in boys and 7·0% (6·4-7·7) in girls. The most recent prevalence of any tobacco use on at least 1 day during the past 30 days was 17·9% (16·1-19·6) in boys and 11·5% (10·5-12·4) in girls. The prevalence of cigarette smoking on at least 1 day during the past 30 days decreased between the first and last surveys in 80 (57·1%) of 140 countries, was unchanged in 39 countries (27·9%), and increased in 21 countries (15·0%). However, the prevalence of the use of tobacco products other than cigarettes was unchanged or increased in 81 (59·1%) of 137 countries. The global prevalence of tobacco use among adolescents aged 13-15 years was substantial. Although the prevalence of cigarette smoking decreased over time in the majority of countries, the prevalence of the use of other tobacco products increased or did not change in the majority of countries during the past two decades. These findings re-emphasise the need to strengthen tobacco control efforts among young adolescents globally. Shandong University.