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.

Urinary anatalline and nicotelline cut-points to distinguish between exclusive and dual use of tobacco products.

OBJECTIVE: This study measured anatalline and nicotelline, two minor tobacco alkaloids, to discriminate between exclusive smokeless tobacco (SLT) use, exclusive electronic nicotine delivery systems (ENDS) use, exclusive cigarette use, dual SLT and cigarette use, and dual ENDS and cigarette use. METHODS: N = 664 urine samples from participants in the Population Assessment of Tobacco and Health Study were analyzed for anatalline and nicotelline. Geometric means and 95% confidence intervals were calculated for biomarker levels and their ratios. Non-parametric Receiver Operating Characteristic analyses were used to determine optimal cut-points of natural log-transformed biomarker ratios for distinguishing between tobacco use groups. RESULTS: The anatalline/nicotelline ratio distinguished exclusive cigarette from exclusive SLT use (threshold = 18.1, sensitivity = 89.3%, specificity = 86.4%, AUC = 0.90), and exclusive SLT from exclusive ENDS use (threshold = 12.8, sensitivity = 96.4%, specificity = 76.3%, AUC = 0.90) very well, but had reduced sensitivity and specificity when distinguishing exclusive cigarette from exclusive ENDS or any dual use with cigarettes. CONCLUSIONS: This research fills a gap in understanding the public health consequences of SLT and ENDS use by providing objective measures that can signal use of these products alone or in combination with cigarettes.

Race/ethnicity-based discrimination, depressive symptoms, and smoking-related variables among people with HIV participating in a randomized clinical trial for cigarette smoking cessation.

People with HIV smoke cigarettes at a high prevalence, and it is important to identify modifiable variables related to smoking in this population. Race/ethnicity-based discrimination is common among people with HIV from minoritized racial and ethnic groups and results in significant adverse effects. The goal of this study was to examine the relationship between race/ethnicity-based discrimination, depression, and smoking-related variables among people with HIV who smoke. This was a secondary analysis of data from a prospective, randomized controlled smoking cessation trial for people with HIV. Participants were recruited from three HIV clinical care sites and randomly assigned to an HIV-tailored group therapy intervention or a control condition. Participants completed measures of demographics, smoking-related variables, race/ethnicity-based discrimination, and depressive symptoms at baseline and were followed up 3- and 6-months after study completion. Depressive symptoms had an indirect effect on the relationship between race/ethnicity-based discrimination and self-efficacy to quit smoking at 3-month follow-up. Depressive symptoms mediated the relationship between race/ethnicity-based discrimination and both nicotine dependence and self-efficacy to quit smoking at 6-month follow-up. Findings highlight the importance of considering race/ethnicity-based discrimination and depressive symptoms in the development and implementation of smoking cessation treatment interventions for people with HIV.

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.

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.

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.

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.

E-cigarette Marketing Expenditures in the United States From 2016 to 2021: Targeted Media Outlets Geared Toward People Who Are at Increased Risk for Tobacco Use.

INTRODUCTION: E-cigarette advertising exposure is linked to e-cigarette initiation and use. Thus, monitoring trends in e-cigarette advertising practices is important to understand e-cigarette use patterns observed over recent years. AIMS AND METHODS: E-cigarette advertising expenditures (January 2016-July 2021; Numerator Ad Intel) for 154 U.S. market areas were harmonized with U.S. Census sociodemographic data through Nielsen zip code designations by market area. Descriptive statistics and multivariable linear regressions were used to examine trends in e-cigarette advertising expenditures across media outlets and associations between sociodemographic characteristics and e-cigarette advertising over time. RESULTS: E-cigarette advertising expenditures peaked in 2018/2019, followed by a sharp decline in 2020. Expenditures were concentrated primarily on print (58.9%), TV (20.6%), and radio (14.4%). Major print outlets were Sports Illustrated, Rolling Stone, and Star magazines. Top TV channels were AMC, Investigation Discovery, and TBS. TV advertisements were purchased commonly during popular movies and TV series (eg King of Queens, Everybody Loves Raymond, The Walking Dead). Higher expenditures were associated with U.S. market areas that had (1) a larger percentage of non-rural zip codes (radio), (2) smaller male populations (radio), and (3) larger White or Caucasian, Black or African American, American Indian or Alaska Native, Asian, and Other or Multiracial populations (radio, print, online display, and online video). CONCLUSIONS: E-cigarette companies advertised in print magazines geared toward males and youth and young adults, radio commercials focused in urban areas with smaller male populations, and nationwide TV commercials. Declines in e-cigarette advertising expenditures in 2020 demonstrate the potential impact that federal policies may have on protecting populations who are at higher risk for tobacco use from predatory advertising practices. IMPLICATIONS: E-cigarette advertising exposure is associated with the initiation and use of e-cigarettes. This study shows how e-cigarette marketing expenditures in the United States may have targeted specific consumers (eg youth and young adults) between 2016 and 2021. The precipitous drop in advertising expenditures across all outlets during early 2020 corresponds with the implementation of the Tobacco 21 federal policy, the federal enforcement policy to remove most unauthorized flavored e-cigarette cartridges from the U.S. market, preparations for FDA's premarket review of e-cigarette products, and the decision by several TV broadcast companies to stop showing e-cigarette ads. The potential impact of federal policies may have far-reaching implications for protecting populations who are at high risk for tobacco use and its health consequences.

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.

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.

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.

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.

Improved motivation and readiness to quit shortly after lung cancer screening: Evidence for a teachable moment.

BACKGROUND: For patients at high risk for lung cancer, screening using low-dose computed tomography (lung cancer screening [LCS]) is recommended. The purpose of this study was to examine whether screening may serve as a teachable moment for smoking-related outcomes. METHODS: In a smoking-cessation trial, participants (N = 843) completed 2 phone interviews before randomization: before LCS (T0) and after LCS (T1). By using logistic and linear regression, the authors examined teachable moment variables (perceived risk, lung cancer worry) and outcomes (readiness, motivation, and cigarettes per day [CPD]). RESULTS: Participants were a mean ± SD age of 63.7 ± 5.9 years, had 47.8 ± 7.1 pack-years of smoking, 35.2% had a high school diploma or General Educational Development (high school equivalency) degree or less, and 42.3% were undergoing their first scan. Between T0 and T1, 25.7% of participants increased readiness to quit, 9.6% decreased readiness, and 64.7% reported no change (P < .001). Motivation to quit increased (P < .05) and CPD decreased between assessments (P < .001), but only 1.3% self-reported quitting. Compared with individuals who reported no lung cancer worry/little worry, extreme worry was associated with readiness to quit in the next 30 days (odds ratio, 1.8; 95% CI, 1.1-3.0) and with higher motivation (b = 0.83; P < .001) at T1. Individuals undergoing a baseline (vs annual) scan were more ready to quit in the next 30 days (odds ratio, 1.8; 95% CI, 1.3-2.5). CONCLUSIONS: During the brief window between registering for LCS and receiving the results, the authors observed that very few participants quit smoking, but a significant proportion improved on readiness and motivation to quit, particularly among individuals who were undergoing their first scan and those who were extremely worried about lung cancer. These results indicate that providing evidence-based tobacco treatment can build upon this teachable moment.

Association of tobacco product use with chronic obstructive pulmonary disease (COPD) prevalence and incidence in Waves 1 through 5 (2013-2019) of the Population Assessment of Tobacco and Health (PATH) Study.

BACKGROUND: We examined the association of non-cigarette tobacco use on chronic obstructive pulmonary disease (COPD) risk in the Population Assessment of Tobacco and Health (PATH) Study. METHODS: There were 13,752 participants ≥ 40 years with Wave 1 (W1) data for prevalence analyses, including 6945 adults without COPD for incidence analyses; W1-5 (2013-2019) data were analyzed. W1 tobacco use was modeled as 12 mutually-exclusive categories of past 30-day (P30D) single and polyuse, with two reference categories (current exclusive cigarette and never tobacco). Prevalence and incidence ratios of self-reported physician-diagnosed COPD were estimated using weighted multivariable Poisson regression. RESULTS: W1 mean (SE) age was 58.1(0.1) years; mean cigarette pack-years was similar for all categories involving cigarettes and exclusive use of e-cigarettes (all > 20), greater than exclusive cigar users (< 10); and COPD prevalence was 7.7%. Compared to P30D cigarette use, never tobacco, former tobacco, and cigar use were associated with lower COPD prevalence (RR = 0.33, (95% confidence interval-CI) [0.26, 0.42]; RR = 0.57, CI [0.47, 0.70]; RR = 0.46, CI [0.28, 0.76], respectively); compared to never tobacco use, all categories except cigar and smokeless tobacco use were associated with higher COPD prevalence (RR former = 1.72, CI [1.33, 2.23]; RR cigarette = 3.00, CI [2.37, 3.80]; RR e-cigarette = 2.22, CI [1.44, 3.42]; RR cigarette + e-cigarette = 3.10, CI [2.39, 4.02]; RR polycombusted = 3.37, CI [2.44, 4.65]; RR polycombusted plus noncombusted = 2.75, CI]1.99, 3.81]). COPD incidence from W2-5 was 5.8%. Never and former tobacco users had lower COPD risk compared to current cigarette smokers (RR = 0.52, CI [0.35, 0.77]; RR = 0.47, CI [0.32, 0.70], respectively). Compared to never use, cigarette, smokeless, cigarette plus e-cigarette, and polycombusted tobacco use were associated with higher COPD incidence (RR = 1.92, CI [1.29, 2.86]; RR = 2.08, CI [1.07, 4.03]; RR = 1.99, CI [1.29, 3.07]; RR = 2.59, CI [1.60, 4.21], respectively); exclusive use of e-cigarettes was not (RR = 1.36, CI [0.55, 3.39]). CONCLUSIONS: E-cigarettes and all use categories involving cigarettes were associated with higher COPD prevalence compared to never use, reflecting, in part, the high burden of cigarette exposure in these groups. Cigarette-but not exclusive e-cigarette-use was also strongly associated with higher COPD incidence. Compared to cigarette use, only quitting tobacco was protective against COPD development.

Longitudinal associations between U.S. youth exposure to E-cigarette marketing and E-cigarette use harm perception and behavior change.

E-cigarette marketing tactics to reach and appeal to youth are rapidly changing. This study examined to what extent youth e-cigarette marketing exposure was associated with e-cigarette use behavior change one year later, during a time when youth e-cigarette use was starting to surge in the U.S. Using nationally representative longitudinal public-use data from the Population Assessment of Tobacco and Health (PATH) Study, we examined associations between recalled e-cigarette marketing exposure (2016-2018) at Wave (W) 4 and e-cigarette use harm perception and behavior change (ever, current, and regular use) one year later (W4.5; 2017-2018) among W4 never tobacco users (n = 9405). Recall of exposure to e-cigarette marketing through different channels was also examined in multivariable models controlling for socio-demographic factors and established e-cigarette use risk factors. Results show that the most frequently recalled channels of e-cigarette marketing exposure were retail stores (50.3%), television (22.2%), and websites/social media (20.2%). Over one year, 21.2%, 7.8%, 3.4%, and 1.2% of respondents reported reduced harm perceptions, and ever, current, and regular use of e-cigarettes, respectively, at follow-up. Recalled exposure to e-cigarette marketing was associated with reduced e-cigarette harm perception (AOR = 1.20; 95% CI = 1.05-1.37) and ever (AOR = 1.26; 95% CI = 1.01-1.56) and current use (AOR = 1.40; 95% CI = 1.02-1.92) at follow-up. E-cigarette marketing exposure through websites/social media was associated with reduced harm perceptions and all stages of e-cigarette use change, including regular use. Identifying marketing techniques and channels that change youth e-cigarette harm perceptions and influence e-cigarette use progression is essential to inform e-cigarette regulatory policies and prevention campaigns.

Exposure to Nicotine and Toxicants Among Dual Users of Tobacco Cigarettes and E-Cigarettes: Population Assessment of Tobacco and Health (PATH) Study, 2013-2014.

INTRODUCTION: Concurrent use of tobacco cigarettes and e-cigarettes ("dual use") is common among tobacco users. Little is known about differences in demographics and toxicant exposure among subsets of dual users. AIMS AND METHODS: We analyzed data from adult dual users (current every/some day users of tobacco cigarettes and e-cigarettes, n = 792) included in the PATH Study Wave 1 (2013-2014) and provided urine samples. Samples were analyzed for biomarkers of exposure to nicotine and selected toxicants (tobacco-specific nitrosamine NNK [NNAL], lead, cadmium, naphthalene [2-naphthol], pyrene [1-hydroxypyrene], acrylonitrile [CYMA], acrolein [CEMA], and acrylamide [AAMA]). Subsets of dual users were compared on demographic, behavioral, and biomarker measures to exclusive cigarette smokers (n = 2411) and exclusive e-cigarette users (n = 247). RESULTS: Most dual users were predominant cigarette smokers (70%), followed by daily dual users (13%), non-daily concurrent dual users (10%), and predominant vapers (7%). Dual users who smoked daily showed significantly higher biomarker concentrations compared with those who did not smoke daily. Patterns of e-cigarette use had little effect on toxicant exposure. Dual users with high toxicant exposure were generally older, female, and smoked more cigarettes per day. Dual users who had low levels of biomarkers of exposure were generally younger, male, and smoked non-daily. CONCLUSIONS: In 2013-2014, most dual users smoked cigarettes daily and used e-cigarettes occasionally. Cigarette smoking appears to be the primary driver of toxicant exposure among dual users, with little-to-no effect of e-cigarette use on biomarker levels. Results reinforce the need for dual users to stop smoking tobacco cigarettes to reduce toxicant exposure. IMPLICATIONS: With considerable dual use of tobacco cigarettes and e-cigarettes in the United States, it is important to understand differences in toxicant exposure among subsets of dual users, and how these differences align with user demographics. Findings suggest most dual users smoke daily and use e-cigarettes intermittently. Low exposure to toxicants was most common among younger users, males, and intermittent smokers; high exposure to toxicants was most common among older users, females, and heavier cigarette smokers. Results underscore the heterogeneity occurring within dual users, and the need to quit smoking cigarettes completely in order to reduce toxicant exposure.

Menthol and Mint Cigarettes and Cigars: Initiation and Progression in Youth, Young Adults and Adults in Waves 1-4 of the PATH Study, 2013-2017.

INTRODUCTION: This study examined in youth (12-17 years), young adults (18-24 years), and adults (25+ years): (1) the prevalence of the first menthol cigarette and menthol/mint cigar use among new tobacco users; (2) association between the first menthol/mint use, subsequent tobacco use, and nicotine dependence ~1 year later compared with the first non-menthol/mint use. AIMS AND METHODS: Longitudinal analysis of data from Waves 1 to 4 of the Population Assessment of Tobacco and Health (PATH) Study (2013-2017; 10 086 youth and 21 281 adults). Main outcome measures were past 12-month and past 30-day cigarette and cigar use, and nicotine dependence. RESULTS: Youth and young adult new cigarette users are more likely to smoke a menthol cigarette or indicate that they do not know the flavor compared with adults aged 25+. A greater proportion of adults aged 25+ first used menthol/mint-flavored cigars (13.4%) compared with youth (8.5%) and young adults (7.4%). Among young adults, first use of a menthol cigarette is associated with past 12-month use of cigarettes at the subsequent wave and first use of any menthol/mint-flavored cigars is associated with past 30-day use of these products at the subsequent wave in both youth and young adults. In youth and adults, there were no significant relationships between first use of a menthol/mint cigarette or cigar and nicotine dependence scores at a subsequent wave in multivariable analyses. CONCLUSIONS: The first use of menthol/mint cigarettes and cigars is associated with subsequent cigarette and cigar use in young people aged 12-24. IMPLICATIONS: This study examined the relationship between initiation with menthol cigarettes and menthol/mint cigars, subsequent tobacco use, and nicotine dependence in US youth, young adults, and adults who participated in Waves 1-4 of the Population Assessment of Tobacco and Health study. New use of menthol cigarettes was associated with greater past 12-month cigarette use in young adults and new use of menthol/mint-flavored cigars was associated with greater past 30-day cigar use in youth and young adults compared with non-menthol use. Initiation with menthol/mint cigarette and cigar products may lead to subsequent use of those products.

Implementing and Evaluating a Mentor Training to Improve Support for Early-Career Scholars in Tobacco Regulatory Science.

INTRODUCTION: To implement and evaluate a blended online and in-person training to help mentors of early-career researchers appreciate the complexities of Tobacco Regulatory Science (TRS), refine TRS mentoring skills, and become acquainted with resources for providing effective guidance to TRS mentees. METHODS: TRS mentors engaged in a two-part pilot test of the training program. Authors evaluated both the online and in-person training using retrospective pre-post evaluations, which measure learning at the conclusion of a training program, and post-program focus groups. Twenty learners completed the online training, and 16 learners attended the in-person training module. Nine participants completed evaluations for the online module, and 12 participants completed evaluations for the in-person module. RESULTS: Program assessments revealed that participants found that the training achieved its overall goals. The majority of respondents (87.5%) rated the online portion of the training as valuable. For the in-person training, participants reported statistically significant improvements regarding confidence in: helping mentees to identify skills and training to effectively pursue TRS, assisting mentees in weighing career trajectories, and guiding mentees in conducting research responsive to TRS regulatory priorities. CONCLUSIONS: The novel mentoring program was well received by faculty seeking to strengthen skills for mentoring early-career TRS researchers to navigate the complex landscape of TRS, explore diverse funding opportunities, and discern potential career trajectories. It provided unique content to address issues outside the traditional tobacco research training curriculum and offered specific information on regulatory policies, priorities, and opportunities. IMPLICATIONS: This research documents the deployment and evaluation of a blended online and in-person training program for investigators mentoring early-career researchers working in TRS. Our assessment discovered that participants found the training to be valuable to their overall mentoring objectives. The training comprises a novel curriculum for investigators engaged in mentoring early-career researchers in a unique field, thus filling a deficit in the published literature by presenting a curriculum that has been customized to the unique needs of TRS mentors.

Longitudinal transitions of exclusive and polytobacco electronic nicotine delivery systems (ENDS) use among youth, young adults and adults in the USA: findings from the PATH Study Waves 1-3 (2013-2016).

OBJECTIVE: Electronic nicotine delivery systems (ENDS; including e-cigarettes) are rapidly evolving in the US marketplace. This study reports cross-sectional prevalence and longitudinal pathways of ENDS use across 3 years, among US youth (12-17 years), young adults (18-24 years) and adults 25+ (25 years and older). DESIGN: Data were from the first three waves (2013-2016) of the Population Assessment of Tobacco and Health Study, a nationally representative, longitudinal cohort study of US youth and adults. Respondents with data at all three waves (youth, n=11 046; young adults, n=6478; adults 25+, n=17 188) were included in longitudinal analyses. RESULTS: Weighted cross-sectional ever use of ENDS increased at each wave. Across all three waves, young adults had the highest percentages of past 12-month, past 30-day (P30D) and daily P30D ENDS use compared with youth and adults 25+. Only about a quarter of users had persistent P30D ENDS use at each wave. Most ENDS users were polytobacco users. Exclusive Wave 1 ENDS users had a higher proportion of subsequent discontinued any tobacco use compared with polytobacco ENDS users who also used cigarettes. CONCLUSIONS: ENDS use is most common among young adults compared with youth and adults 25+. However, continued use of ENDS over 2 years is not common for any age group. Health education efforts to reduce the appeal and availability of ENDS products might focus on reducing ENDS experimentation, and on reaching the smaller subgroups of daily ENDS users to better understand their reasons for use.

Longitudinal pathways of exclusive and polytobacco hookah use among youth, young adults and adults in the USA: findings from the PATH Study Waves 1-3 (2013-2016).

OBJECTIVE: The goal of this study is to examine cross-sectional rates of use and longitudinal pathways of hookah use among US youth (ages 12-17), young adults (ages 18-24), and adults 25+ (ages 25 and older). DESIGN: Data were drawn from the first three waves (2013-2016) of the Population Assessment of Tobacco and Health Study, a nationally representative, longitudinal cohort study of US adults and youth. Respondents with data at all three waves (youth, n=11 046; young adults, n=6478; adults 25+, n=17 188) were included in longitudinal analyses. RESULTS: Young adults had higher ever, past 12-month (P12M) and past 30-day cross-sectional prevalence of hookah use at each wave than youth or adults 25+. The majority of Wave 1 (W1) hookah users were P12M users of other tobacco products (youth: 73.9%, young adults: 80.5%, adults 25+: 83.2%). Most youth and adult W1 P12M hookah users discontinued use in Wave 2 or Wave 3 (youth: 58.0%, young adults: 47.5%, adults 25+: 63.4%). Most W1 P12M hookah polytobacco users used cigarettes (youth: 49.4%, young adults: 59.4%, adults 25+: 63.2%) and had lower rates of quitting all tobacco than exclusive hookah users or hookah polytobacco users who did not use cigarettes. CONCLUSIONS: Hookah use is more common among young adults than among youth or adults 25+. Discontinuing hookah use is the most common pathway among exclusive or polytobacco hookah users. Understanding longitudinal transitions in hookah use is important in understanding behavioural outcomes at the population level.