Characteristics of Adolescents' and Young Adults' Exposure to and Engagement with Nicotine and Tobacco Product Content on Social Media.

To inform policy and messaging, this study examined characteristics of adolescents' and young adults' (AYAs') exposure to and engagement with nicotine and tobacco product (NTP) social media (SM) content. In this cross-sectional survey study, AYAs aged 13-26 (N=1,163) reported current NTP use, SM use frequency, and exposure to and engagement with SM content promoting and opposing NTP use (i.e. frequency, source[s], format[s], platform[s]). Participants who used NTPs (vs. did not use) were more likely to report having seen NTP content (p-values<.001). Prevalent sources were companies/brands (46.6%) and influencers (44.4%); prevalent formats were video (65.4%) and image (50.7%). Exposure to content promoting NTP use was prevalent on several popular platforms (e.g. TikTok, Instagram, Snapchat); exposure to content opposing NTP use was most prevalent on YouTube (75.8%). Among those reporting content engagement (i.e. liking, commenting on, or sharing NTP content; 34.6%), 57.2% engaged with influencer content. Participants reported engaging with content promoting and opposing NTP use on popular platforms (e.g. TikTok, Instagram, YouTube). Participants with (versus without) current NTP use were significantly more likely to use most SM platforms and to report NTP content exposure and engagement (p-values<.05). Results suggest that NTP education messaging and enforcement of platforms' content restrictions are needed.

Oral nicotine product marketing expenditures in the USA from 2016 to 2023: trends over time by brand and targeted media outlets.

BACKGROUND: Oral nicotine products (ONPs) are increasing in sales, availability and flavours. In April 2022, the US Food and Drug Administration (FDA) obtained regulatory authority over non-tobacco nicotine products, which include many ONPs. Advertising practices for ONPs need monitoring to understand marketing strategies and inform FDA marketing authorisation decisions. METHODS: ONP advertisement (ad) expenditure data (January 2016-June 2023) were purchased (print, TV, radio, online video, online display and mobile; N=125 236) and adjusted to 2023 dollars. Descriptive statistics examined expenditures by ONP brand and media outlet over time. RESULTS: Velo spent the most on ONP advertising (89.8%), followed by Zyn (5.7%) and Black Buffalo (1.2%). Velo encompassed the majority of TV (98.1%), radio (99.9%) and mobile ad spend (87.3%); Zyn was the leader for online display (46.2%) and online video (71.1%); and Black Buffalo accounted for 100% of print ads. In 2023, (January-June), Zyn accounted for 88.0% of ad expenditures and Velo spent $0, though the total amount spent by Zyn was far less than Velo in prior years. TV ads (98.1% Velo) aired primarily on prime time/late night or 09:00-17:00 on weekends. Radio ads (99.9% Velo) aired primarily from 06:00 to 10:00, 12:00 to 14:00 and 15:00 to 19:00 on weekdays. Overall, expenditures focused on reaching a national audience, though print ads indicated potential male-targeted marketing. CONCLUSIONS: Following FDA's regulatory authority over non-tobacco nicotine products, ad expenditures for Velo dropped to $0. Ongoing surveillance of ONP ad trends can inform FDA marketing authorisation decisions by revealing brand-specific marketing strategies that may be targeted toward populations at increased risk of tobacco use.

The Role of Seed Users in Nurturing an Online Health Community for Smoking Cessation Among People With HIV/AIDS.

BACKGROUND: To nurture a new online community for health behavior change, a fruitful strategy is to recruit "seed users" to create content and encourage participation. PURPOSE: This study evaluated the impact of support from seed users in an online community for smoking cessation among people living with HIV/AIDS and explored the linguistic characteristics of their interactions. METHODS: These secondary analyses examined data from a randomized trial of a smoking cessation intervention for HIV+ smokers delivered via an online health community (OHC). The analytic sample comprised n = 188 participants randomized to the intervention arm who participated in the community. Independent variables were OHC interactions categorized by participant interlocutor type (study participant, seed user) and interaction type (active, passive). The primary outcome was biochemically verified 7-day abstinence from cigarettes measured 3 months post-randomization; 30-day abstinence was examined for robustness. RESULTS: Logistic regression models showed that participants' interactions with seed users were a positive predictor of abstinence but interactions with other study participants were not. Specifically, the odds of abstinence increased as the number of posts received from seed users increased. Exploratory linguistic analyses revealed that seed users wrote longer comments which included more frequent use of "we" and "you" pronouns and that study participants users used more first-person singular pronouns ("I"). CONCLUSIONS: Seeding a community at its inception and nurturing its growth through seed users may be a scalable way to foster behavior change among OHC members. These findings have implications for the design and management of an OHC capable of promoting smoking cessation.

Online health communities (OHCs) are a popular means for people with similar health concerns to exchange information and support. The success of OHCs depends on members' active participation and on the formation of meaningful relationships. Jumpstarting a new OHC with active members (seed users) can promote engagement and foster its growth. Using data from a multisite randomized controlled trial of a web-based smoking cessation intervention developed specifically for people living with HIV/AIDS (PLWH), we examined whether support provided by seed users in the OHC was a stronger predictor of abstinence from smoking compared with support from other tobacco users who are also trying to quit. These secondary analyses focused on 188 urban, predominantly Black PLWH who smoked that were randomized to the intervention arm and participated in the online community. The primary outcome was biochemically verified 7-day abstinence from cigarettes measured 3 months following study enrollment. Receiving support from seed users was a positive predictor of abstinence among smokers in the trial whereas interactions with other study participants did not relate to abstinence. These findings suggest that for a new OHC, seed users can be critical for generating engagement and promoting health behavior change.

Relationship Between Tobacco Product Use and Health-Related Quality of Life Among Individuals With COPD in Waves 1-5 (2013-2019) of the Population Assessment of Tobacco and Health Study.

Introduction: We examined the association between tobacco product use and health-related quality of life (HRQoL) among individuals with chronic obstructive pulmonary disease (COPD) in Waves 1-5 of the Population Assessment of Tobacco and Health (PATH) Study. Methods: Adults ≥40 years with an ever COPD diagnosis were included in cross-sectional (Wave 5) and longitudinal (Waves 1 to 5) analyses. Tobacco use included 13 mutually exclusive categories of past 30-day (P30D) single use and polyuse with P30D exclusive cigarette use and ≥5-year cigarette cessation as reference groups. Multivariable linear regression and generalized estimating equations (GEE) were used to examine the association between tobacco use and HRQoL as measured by the Patient-Reported Outcomes Measurement Information System (PROMIS) Global-10 questionnaire. Results: Of 1670 adults, 79.4% ever used cigarettes; mean (standard error [SE]) pack years was 30.9 (1.1). In cross-sectional analysis, P30D exclusive cigarette use, and e-cigarette/cigarette dual use were associated with worse HRQoL compared to ≥5-year cigarette cessation. Compared to P30D exclusive cigarette use, never tobacco use and ≥5-year cigarette cessation were associated with better HRQoL, while e-cigarette/cigarette dual use had worse HRQoL. Longitudinally (n=686), e-cigarette/cigarette dual use was associated with worsening HRQoL compared to both reference groups. Only never tobacco use was associated with higher HRQoL over time compared to P30D exclusive cigarette use. Conclusions: E-cigarette/cigarette dual use was associated with worse HRQoL compared to ≥5-year cigarette cessation and exclusive cigarette use. Never use and ≥5-year cigarette cessation were the only categories associated with higher HRQoL compared to exclusive cigarette use. Findings highlight the importance of complete smoking cessation for individuals with COPD.

Use of E-Cigarettes and Cigarettes During Late Pregnancy Among Adolescents.

Importance: Pregnant adolescents sometimes use cigarettes; however, little is known about e-cigarette use among pregnant adolescents, a population with increased health vulnerability. Objective: To examine yearly trends, sociodemographic and pregnancy-related determinants, and the association with small-for-gestational-age (SGA) birth of e-cigarette and/or cigarette use during late pregnancy among adolescents. Design, Setting, and Participants: This cohort study used existing data from the 2016-2021 Pregnancy Risk Assessment Monitoring System on 10 428 US adolescents aged 10 to 19 years who had a singleton birth with complete data on e-cigarette or cigarette use and SGA birth. Exposure: Adolescents reported e-cigarette and cigarette use during the last 3 months of pregnancy. Main Outcomes and Measures: SGA birth (birth weight below the 10th percentile for the same sex and gestational duration) was determined from birth certificates. Multivariable logistic regression was used to compare the odds of SGA birth across pregnant adolescents who exclusively used e-cigarettes, exclusively used cigarettes, used e-cigarettes and cigarettes, or did not use either. Results: Of the 10 428 pregnant adolescents, 72.7% were aged 18 or 19 years; 58.9% self-identified as White and 23.3% as Black; and 69.8% were non-Hispanic. The weighted prevalence of exclusive e-cigarette use during late pregnancy increased from 0.8% in 2016 to 4.1% in 2021, while the prevalence of exclusive cigarette use decreased from 9.2% in 2017 to 3.2% in 2021. The prevalence of dual use fluctuated, ranging from 0.6% to 1.6%. White pregnant adolescents were more likely than those who self-identified as another race and ethnicity to use e-cigarettes (2.7% vs 1.0% for American Indian or Alaska Native adolescents, 0.8% for Asian or other race adolescents, 0.6% for Black adolescents, and 0.7% for multiracial adolescents). Compared with those who did not use either product, adolescents who exclusively used e-cigarettes (16.8% vs 12.9%; confounder-adjusted odds ratio [AOR], 1.68 [95% CI, 0.89-3.18]) or who used cigarettes and e-cigarettes (17.6% vs 12.9%; AOR, 1.68 [95% CI, 0.79-3.53]) had no statistically significant difference in risk of SGA birth. However, adolescents who exclusively used cigarettes had a more than 2-fold higher risk of SGA birth (24.6% vs 12.9%; AOR, 2.51 [95% CI, 1.79-3.52]). Conclusions and Relevance: This cohort study suggests that pregnant adolescents increasingly used e-cigarettes, with the highest use among White adolescents. Results from this analysis found that, unlike cigarette use, e-cigarette use during late pregnancy was not statistically significantly associated with an increased risk of SGA birth among adolescents. Due to the uncertainty of this nonsignificant association, future research could benefit from a larger sample size.

Prioritizing common terminology and measures to advance research on oral nicotine product use.

This commentary calls for consistent measurement of oral nicotine product use by the scientific community, recommends specific measures where possible, and emphasizes areas in need of further research. We hope to expedite the use of consistent measures of oral nicotine product use so that this area of tobacco research can advance quickly.

Prevalence and Correlates of Cardiovascular, Pulmonary, Cancer, and Mental Health Comorbidities Among Adults With HIV Who Smoke.

ABSTRACT: Using data from the D.C. Cohort Longitudinal HIV Study, we examined (a) diagnosed mental health and (b) cardiovascular, pulmonary, or cancer (CPC) comorbidity among adults with HIV who smoked. Among 8,581 adults, 4,273 (50%) smoked; 49% of smokers had mental health, and 13% of smokers had a CPC comorbidity. Among smokers, non-Hispanic Black participants had a lower risk for mental health (prevalence ratio [PR]: 0.69; 95% confidence interval [CI] [0.62-0.76]) but a higher risk for CPC (PR: 1.17; 95% CI [0.84-1.62]) comorbidity. Male participants had a lower risk for mental health (PR: 0.88; 95% CI [0.81-0.94]) and CPC (PR: 0.68; 95% CI [0.57-0.81]) comorbidity. All metrics of socioeconomic status were associated with a mental health comorbidity, but only housing status was associated with a CPC comorbidity. We did not find any association with substance use. Gender, socioeconomic factors, and race/ethnicity should inform clinical care and the development of smoking cessation strategies for this population.

Childhood Cigarette Smoking and Risk of Chronic Obstructive Pulmonary Disease in Older U.S. Adults.

Rationale: It is not certain the extent to which childhood smoking adds chronic obstructive pulmonary disease (COPD) risk independent of lifetime cigarette exposure. Objectives: We examined the association between age started smoking cigarettes regularly, current smoking status, smoking history, and risk of COPD. Methods: Cross-sectional survey of U.S. adults ⩾40 years old in the 2020 National Health Interview Survey. Respondents who were ever cigarette smokers were asked when they began smoking regularly. Multivariable analysis assessed self-report of COPD diagnosis as a function of age started smoking (<15 yr vs. ⩾15 yr) adjusting for current smoking, cigarette pack-years, and covariates. Measurements and Main Results: Overall, 7.1% reported that they had COPD, 2.6% for never-smokers compared with 23.1% and 11.6% for smoking onset <15 and ⩾15 years, respectively. Persons who began smoking regularly at <15 years of age had higher pack-years of smoking (median, 29 vs. 15, respectively), and higher smoking intensity (median, 20 cigarettes/d for <15 yr vs. 10 cigarettes/d for ⩾15 yr for current smokers). In the multivariable analysis, the relative risk for COPD among childhood smokers was 1.41 (95% confidence interval, 1.22-1.63) compared with later-onset smokers. Substituting smoking duration for pack-years confounded the association between current smoking and COPD but did not change the childhood smoking estimate. In a stratified analysis, higher risk for childhood smoking was found at all current smoking intensity levels. Conclusions: Among adults aged ⩾40 years, one-fifth of childhood smokers have COPD. Lifetime cigarette smoking explained some but not all of the higher risk. If replicated, this suggests a lung development window of enhanced vulnerability to cigarette smoking.

Validating Wave 1 (2014) Urinary Cotinine and TNE-2 Cut-points for Differentiating Wave 4 (2017) Cigarette Use from Non-use in the United States Using Data from the PATH Study.

BACKGROUND: Sex and racial/ethnic identity-specific cut-points for validating tobacco use using Wave 1 (W1) of the Population Assessment of Tobacco and Health (PATH) Study were published in 2020. The current study establishes predictive validity of the W1 (2014) urinary cotinine and total nicotine equivalents-2 (TNE-2) cut-points on estimating Wave 4 (W4; 2017) tobacco use. METHODS: For exclusive and polytobacco cigarette use, weighted prevalence estimates based on W4 self-report alone and with exceeding the W1 cut-point were calculated to identify the percentage missed without biochemical verification. Sensitivity and specificity of W1 cut-points on W4 self-reported tobacco use status were examined. ROC curves were used to determine the optimal W4 cut-points to distinguish past 30-day users from non-users, and evaluate whether the cut-points significantly differed from W1. RESULTS: Agreement between W4 self-reported use and exceeding the W1 cut-points was high overall and when stratified by demographic subgroups (0.7%-4.4% of use was missed if relying on self-report alone). The predictive validity of using the W1 cut-points to classify exclusive cigarette and polytobacco cigarette use at W4 was high (>90% sensitivity and specificity, except among polytobacco Hispanic smokers). Cut-points derived using W4 data did not significantly differ from the W1-derived cut-points [e.g., W1 exclusive = 40.5 ng/mL cotinine (95% confidence interval, CI: 26.1-62.8), W4 exclusive = 29.9 ng/mL cotinine (95% CI: 13.5-66.4)], among most demographic subgroups. CONCLUSIONS: The W1 cut-points remain valid for biochemical verification of self-reported tobacco use in W4. IMPACT: Findings from can be used in clinical and epidemiologic studies to reduce misclassification of cigarette smoking status.

Co-use of cigarettes and cannabis among people with HIV: Results from a randomized controlled smoking cessation trial.

Significance: People with HIV (PWH) who smoke cigarettes have lower cessation rates than the general population. This study investigated whether changes in cannabis use frequency impedes cigarette cessation among PWH who are motivated to quit. Methods: Between 2016-2020, PWH who smoked cigarettes were enrolled in a randomized controlled trial for cigarette cessation. Analyses were limited to PWH who reported on their past 30-day (P30D) cannabis use during four study visits (baseline, 1-month, 3-month, and 6-month) (N=374). Descriptive statistics and multivariable logistic regression were used to evaluate changes in cannabis use frequency from baseline to 6 months and associations with cigarette abstinence at 6 months among PWH who reported no use during all four visits (n=176), as well as those who reported use during at least one visit and who increased (n=39), decreased (n=78), or had no change (n=81) in use frequency. Results: Among those who reported cannabis use during at least one visit (n=198), at baseline, 18.2% reported no use. At 6 months, 34.3% reported no use. Controlling for covariates, increased cannabis use frequency from baseline was associated with reduced odds of cigarette abstinence at 6 months versus decreased use frequency (aOR=0.22, 95% CI=0.03, 0.90) or no use at either time-point (aOR=0.25, 95% CI=0.04, 0.93). Conclusions: Increased cannabis use over 6 months was associated with reduced odds of cigarette smoking abstinence among PWH who were motivated to quit. Additional factors that influence cannabis use and cigarette cessation simultaneously are in need of further study.

Indicators of Tobacco Dependence Among Youth: Findings From Wave 1 (2013-2014) of the Population Assessment of Tobacco and Health Study.

BACKGROUND: Prior work established a measure of tobacco dependence (TD) among adults that can be used to compare TD across different tobacco products. We extend this approach to develop a common, cross-product metric for TD among youth. METHODS: One thousand one hundred and forty-eight youth aged 12-17 who used a tobacco product in the past 30 days were identified from 13 651 youth respondents in Wave 1 of the Population Assessment of Tobacco and Health (PATH) Study. FINDINGS: Analyses confirmed a single primary latent construct underlying responses to TD indicators for all mutually exclusive tobacco product user groups. Differential Item Functioning analyses supported the use of 8 of 10 TD indicators for comparisons across groups. With TD levels anchored at 0.0 (standard deviation [SD] = 1.0) among cigarette only (n = 265) use group, mean TD scores were more than a full SD lower for e-cigarette only (n = 150) use group (mean = -1.09; SD = 0.64). Other single product use group (cigar, hookah, pipe, or smokeless; n = 262) on average had lower TD (mean = -0.60; SD = 0.84), and the group with the use of multiple tobacco products (n = 471) experienced similar levels of TD (mean = 0.14; SD = 0.78) as the cigarette only use group. Concurrent validity was established with product use frequency among all user groups. A subset of five TD items comprised a common metric permitting comparisons between youth and adults. CONCLUSION: The PATH Study Youth Wave 1 Interview provided psychometrically valid measures of TD that enable future regulatory investigations of TD across tobacco products and comparisons between youth and adult tobacco product use group. IMPLICATIONS: A measure of tobacco dependence (TD) has been established previously among adults to compare TD across tobacco products. This study established the validity of a similar, cross-product measure of TD among youth. Findings suggest a single latent TD construct underlying this measure, concurrent validity of the scale with product use frequency across different types of tobacco users, and a subset of common items that can be used to compare TD between youth and adults who use tobacco.

Associations between biomarkers of nicotine/tobacco exposure and respiratory symptoms among adults who exclusively smoke cigarettes in the U.S.: Findings from the PATH Study Waves 1-4 (2013-2017).

Significance: Determining if tobacco-related biomarkers of exposure (BOE) are associated with respiratory symptoms is an important public health tool that can be used to evaluate the potential harm of different tobacco products. Methods: Adult data from people who exclusively smoked cigarettes (N = 2,438) in Waves 1-4 (2013-2017) of the Population Assessment of Tobacco and Health Study were stacked to examine associations between baseline and follow-up within wave pairs (W1-W2, W2-W3, W3-W4). Weighted generalized estimating equation models were used to evaluate associations between biomarkers of nicotine, tobacco-specific nitrosamines, acrolein, acrylonitrile, cadmium, and lead at baseline/follow-up and respiratory symptom(s) (wheezing/whistling in the chest, wheezing during exercise, and/or dry cough in the past 12 months) at follow-up. Results: Higher acrolein metabolite (CEMA) levels at follow-up were associated with increased odds of respiratory symptoms at follow-up for people who exclusively smoked cigarettes (aOR = 1.34; 95% CI = 1.06, 1.70), including when limited to those without a diagnosed respiratory disease (aOR = 1.46; 95% CI = 1.12, 1.90) and those who smoked daily (aOR = 1.40; 95% CI = 1.06, 1.84). Higher cadmium levels at baseline (while controlling for follow-up levels) were associated with reduced odds of respiratory symptoms at follow-up (aOR = 0.80; 95% CI = 0.65, 0.98) among people who exclusively smoked cigarettes without a respiratory disease. There were no significant associations between baseline/follow-up BOE and follow-up respiratory symptoms for people who smoked cigarettes non-daily. Conclusions: This research supports measuring biomarkers of acrolein, such as CEMA, as a potential intermediate measurement for increased respiratory symptom development. Measuring these biomarkers could help alleviate the clinical burden of respiratory disease.

Perceived racial/ethnic discrimination and cigarette smoking behaviors among a sample of people with HIV.

This study was a secondary analysis of baseline data from a clinical trial of an intensive group-based smoking cessation treatment for people with HIV (PWH) who smoke. It examined the cross-sectional relationship between perceived ethnic discrimination (PED) and cigarette smoking variables (i.e., nicotine dependence, motivation to quit smoking, self-efficacy to quit smoking) among PWH and explored whether depressive symptoms mediated the relationship between PED and smoking variables. Participants (N = 442; Mage = 50.6; 52.8% Male; 56.3% Black, non-Hispanic; 6.3% White, non-Hispanic; 13.3% Hispanic; 87.7% unemployed; 81.6% single) completed measures of demographics, cigarette smoking, depressive symptoms, and PED. Greater PED was related to lower self-efficacy to quit smoking, greater perceived stress, and greater depressive symptoms. In addition, depressive symptoms mediated the relationship between PED and two cigarette smoking variables (i.e., nicotine dependence, self-efficacy to quit smoking). Findings highlight the need for smoking interventions to target PED, self-efficacy, and depressive symptoms to improve smoking cessation variables among PWH.

People with HIV who smoke cigarettes non-daily.

Cigarette smoking is a leading cause of mortality in people with HIV (PWH) in the United States (US). A rising proportion of US tobacco users smoke non-daily, a phenomenon that is common among PWH. PWH who smoke non-daily may be attractive targets for cessation efforts, and, thus, a fuller understanding of non-daily smoking in PWH is important. We merged datasets from two randomized controlled tobacco treatment trials for PWH conducted in three cities from 2014-2020. The final dataset included 872 PWH. We analyzed sociodemographic characteristics and behavioral measures, such as nicotine dependence, motivation to quit, anxiety, and other substance use for associations with non-daily smoking, and we assessed non-daily smoking as a predictor of cessation. 13.4% of the sample smoked non-daily. In multivariable analyses, non-White race, higher anxiety, and higher motivation to quit were associated with non-daily smoking. PWH who smoked non-daily had 2.14 times the odds of those who smoked daily of quitting at six-months (95% C.I.:1.30-3.51, P=0.002). PWH who smoke non-daily differ in some demographic and behavioral characteristics from those who smoke daily. PWH reporting non-daily smoking were more likely to quit in our trials and targeting them should be a priority of future cessation efforts.

Longitudinal associations between receiving E-cigarette price promotions and subsequent E-cigarette use among U.S. Young adult cigarette smokers.

INTRODUCTION: E-cigarette price promotions (EPPs; i.e., marketed reductions in cost) may influence young adult cigarette smokers to try, dual use with, or completely transition to e-cigarettes. We assessed whether receiving EPPs was associated with subsequent e-cigarette use among this group. METHODS: Data were from Waves 4 (2016-2018) and 5 (2018-2019) of the nationally representative Population Assessment of Tobacco and Health (PATH) Study survey. Analysis was restricted to participants who were young adult (18-34 years) established, current cigarette smokers who did not use e-cigarettes at Wave 4 (baseline; n = 2,664; Sample 1), and a subsample of those who tried to quit smoking completely in the past year at Wave 5 (follow-up; n = 948; Sample 2). Multivariable logistic regressions were used to examine associations between receiving EPPs at baseline and past year use of e-cigarettes in general (Sample 1) and to help quit smoking (Sample 2) at follow-up, controlling for covariates. RESULTS: Overall, 4.1% and 4.9% of Sample 1 and 2 participants received EPPs, respectively; At follow-up, 33.4% of Sample 1 participants used e-cigarettes, and 12.0% of Sample 2 participants used e-cigarettes to quit smoking. Receiving EPPs was associated with subsequent past-year e-cigarette use in general (AOR = 2.07; 95% CI = 1.31 to 3.27), and past-year e-cigarette use to help with quitting smoking (AOR = 3.20; 95% CI = 1.48 to 6.90). DISCUSSION: EPPs may increase e-cigarette use among established, current smokers and may be used to quit smoking. Research is needed to understand how EPPs may be differentially associated with complete product transition versus dual/poly use among young adult smokers.

Predictors of E-cigarette and Cigarette Use Trajectory Classes from Early Adolescence to Emerging Adulthood Across Four Years (2013-2017) of the PATH Study.

INTRODUCTION: This study examines predictors of trajectories of cigarette and e-cigarette use among a cohort of US adolescents transitioning into young adulthood. Comparing trajectories of each tobacco product is important to determine if different intervention targets are needed to prevent progression to daily use. METHODS: Latent trajectory class analyses identified cigarette and e-cigarette use (never, ever excluding past 12-month, past 12-month (excluding past 30-day (P30D)), P30D 1-5 days, P30D 6+ days) trajectory classes, separately, among US youth (12-17; N = 10,086) using the first 4 waves (2013-2017) of data from the nationally representative PATH Study. Weighted descriptive analyses described the class characteristics. Weighted multinomial logistic regression analyses examined demographic, psychosocial, and behavioral predictors of class membership. RESULTS: Younger adolescents 12-15 years had lower tobacco use compared to 16-17 year olds and less stable classes. In the 16-17 year group, there were five unique trajectories of cigarette smoking, including a Persistent High Frequency class. Four e-cigarette use trajectories were identified; but not a persistent use class. Shared predictors of class membership for cigarettes and e-cigarettes included mental health problems, other tobacco use, marijuana use, and poorer academic achievement. Male sex and household tobacco use were unique e-cigarette trajectory class predictors. CONCLUSIONS: There was no evidence that initiation with e-cigarettes as the first product tried was associated with cigarette progression (nor cigarettes as first product and e-cigarette progression). Interventions should focus on well-established risk factors such as mental health and other substance use to prevent progression of use for both tobacco products. IMPLICATIONS: Using nationally representative data and definitions of use that take into account frequency and recency of use, longitudinal 4-year trajectories of e-cigarette and cigarette use among US adolescents transitioning into young adulthood were identified. Results among 16-17-year olds revealed a class of persistent high frequency cigarette smoking that was not identified for e-cigarette use. Cigarette use progression was not associated with e-cigarettes as the first product tried. Risk factors for progression of use of both products included mental health and other substance use, which are important prevention targets for both tobacco products.