2020 design and methods of the Population Assessment of Tobacco and Health (PATH) study during the COVID-19 pandemic.

The Population Assessment of Tobacco and Health (PATH) Study is a nationally representative, longitudinal study of the US population on tobacco use and its effects on health, collecting data annually since 2013. The COVID-19 pandemic interrupted in-person survey data collections around the world. In the USA, this included a PATH Study data collection focused on youth (13-17) and young adults (18-19) as well as other US surveys on tobacco use. Given that it was necessary to pause data collection and considering that tobacco-use behaviours could be expected to change along with pandemic-related changes in the social environment, the original design for the 2020 PATH Study data collection for youth and young adults was modified. Also, the PATH Study Adult Telephone Survey was developed to address the need for adult tobacco use monitoring in this unprecedented time. This article describes the modifications made to the 2020 PATH Study design and protocol to provide nationally representative data for youth and adults after the onset of the COVID-19 pandemic as well as the implications of these modifications for researchers.

Cardiovascular disease outcomes among established cigar users 40 years and older: Findings from the population assessment of tobacco and health (PATH) study, waves 1-5 (2013-2019).

This study examined associations between established cigar use and prevalence and incidence of cardiovascular diseases (CVD; congestive heart failure, stroke, or heart attack/needed bypass surgery) among U.S. adults, 40 years or older. Using Waves 1-5 (2013-2019) of the Population Assessment of Tobacco and Health (PATH) Study, incidence (Nindividuals (Nind) = 6,692; Nobservations (Nobs) = 23,738) and prevalence (Nind = 7,819; Nobs = 33,952) of CVD outcomes were examined using weighted generalized estimating equations (WGEEs) among adults who were exclusive current/former established cigar smokers (ever cigar smokers who have smoked fairly regularly), exclusive current/former established cigarette smokers (lifetime smokers of 100 or more cigarettes), dual current/former established cigarette and cigar smokers compared with never smokers of cigars or cigarettes, adjusting for covariates. The population-averaged incidence of CVD from one wave to next among exclusive current/former established cigar smokers during a six-year period based on WGEEs was low (overall average rate of 3.0 %; 95 % CI: 1.2, 7.0). Compared with never users, exclusive current/former established cigar smokers (OR = 1.67, 95 % CI: 1.11, 2.51) and exclusive current/former established cigarette smokers (OR = 2.12, 95 % CI: 1.45, 3.09) were more likely to have any CVD outcome in unadjusted analyses. When adjusted for covariates, only exclusive current/former established cigarette use was associated with CVD outcomes (AOR = 1.60, CI: 1.07, 2.40). Results suggest that exclusive established use of cigars or duration of exclusive cigar use was not associated with lifetime CVD prevalence compared with never cigar or cigarette smokers, which is important in understanding health outcomes in cigar users.

Changes in Tobacco Dependence and Association With Onset and Progression of Use by Product Type From Waves 1 to 3 of the Population Assessment of Tobacco and Health (PATH) Study.

INTRODUCTION: This study examined trajectories of tobacco dependence (TD) in relationship to changes in tobacco product use, and explored the effects of product-specific adding, switching, or discontinued use on dependence over time. AIMS AND METHODS: Data were analyzed from the first three waves from the Population Assessment of Tobacco and Health (PATH) Study, a nationally representative, longitudinal study of adults and youth in the United States. Data included 9556 wave 1 (2013-2014) adult current established tobacco users aged 18 or older who completed all three interviews and had established use at ≥2 assessments. Mutually exclusive groups included: users of cigarettes only, e-cigarettes only, cigars only, hookah only, any smokeless only, cigarette + e-cigarette dual users, and other multiple product users. A validated 16-item scale assessed TD across product users. RESULTS: People who used e-cigarettes exclusively at wave 1 had small increases in TD through wave 3. Wave 1 multiple product users' TD decreased across waves. TD for all other wave 1 user groups remained about the same. For wave 1 cigarette only smokers, switching to another product was associated with lower levels of TD than smokers whose use stayed the same. Movement to no established use of any tobacco product was consistently associated with lower TD for all product users. CONCLUSIONS: Except for wave 1 e-cigarette only users (who experienced small increases in TD), TD among U.S. tobacco product users was stable over time, with daily users less likely to vary from baseline. IMPLICATIONS: The level of TD among most U.S. tobacco users was stable over the first three waves of the PATH Study and trends in levels of TD were predominantly unrelated to changes in patterns of continued product use. Stable levels of TD suggest a population at persistent risk of health impacts from tobacco. Wave 1 e-cigarette users experienced small increases in levels of TD over time, perhaps due to increases in quantity or frequency of their e-cigarette use or increasing efficiency of nicotine delivery over time.

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.

Tobacco Use, Nicotine Dependence, and Cessation Methods in US Adults With Psychosis.

Importance: Adults with psychotic disorders have high premature mortality, partly due to the high prevalence of smoking in this population. Yet recent data are lacking on tobacco product use among US adults with a history of psychosis. Objective: To examine the sociodemographic characteristics and behavioral health status; types of tobacco products used; prevalence of use by age, sex, and race and ethnicity; and nicotine dependence severity and smoking cessation methods among community-dwelling adults with vs without psychosis. Design, Setting, and Participants: This cross-sectional study analyzed nationally representative, self-reported, cross-sectional data of adults (aged ≥18 years) who participated in the Wave 5 survey (conducted from December 2018 to November 2019) of the Population Assessment of Tobacco and Health (PATH) Study. Data analyses were conducted between September 2021 and October 2022. Exposure: PATH Study respondents were classified as having lifetime psychosis if they answered yes to whether they had ever received from a clinician (eg, physician, therapist, or other mental health professional) a diagnosis of schizophrenia, schizoaffective disorder, psychosis, or psychotic illness or episode. Main Outcomes and Measures: Use of any and major types of tobacco products, severity of nicotine dependence, and cessation methods. Results: Among the 29 045 community-dwelling adults who participated in the PATH Study (weighted median [IQR] age, 30.0 [22.0-50.0] years; weighted percentage estimates: 14 976 females (51.5%); 16.0% Hispanic, 11.1% non-Hispanic Black, 65.0% non-Hispanic White, and 8.0% non-Hispanic other race and ethnicity [American Indian or Alaska Native, Asian, Native Hawaiian or other Pacific Islander, and more than 1 race]), 2.9% (95% CI, 2.62%-3.10%) reported receiving a lifetime psychosis diagnosis. Compared with those without psychosis, people with psychosis had a higher adjusted prevalence of past-month any tobacco use (41.3% vs 27.7%; adjusted risk ratio [RR], 1.49 [95% CI, 1.36-1.63]) as well as cigarette smoking, e-cigarette use, and other tobacco product use overall and in most examined subgroups; they also had a higher past-month prevalence of dual cigarette and e-cigarette use (13.5% vs 10.1%; P = .02), polycombustible tobacco use (12.1% vs 8.6%; P = .007), and polycombustible and noncombustible tobacco use (22.1% vs 12.4%; P < .001). Among adults with past-month cigarette use, those with vs without psychosis had a higher adjusted mean nicotine dependence scores overall (54.6 vs 49.5; P < .001) and within the 45-years-or-older (61.7 vs 54.9; P = .002), female (56.9 vs 49.8; P = .001), Hispanic (53.7 vs 40.0; P = .01), and Black (53.4 vs 46.0; P = .005) groups. They were also more likely to make a quit attempt (60.0% vs 54.1%; adjusted RR, 1.11 [95% CI, 1.01-1.21]) and use counseling, a quitline, or a support group for tobacco cessation (5.6% vs 2.5%; adjusted RR, 2.25 [95% CI, 1.21-3.30]). Conclusions and Relevance: In this study, the high prevalence of tobacco use, polytobacco use, and making a quit attempt as well as the severity of nicotine dependence among community-dwelling adults with a history of psychosis highlighted the urgency for tailored tobacco cessation interventions for this population. Such strategies must be evidence-based and age, sex, and race and ethnicity appropriate.

Tobacco, Alcohol, Cannabis, and Other Drug Use in the US Before and During the Early Phase of the COVID-19 Pandemic.

Importance: Information about national substance use trends among youths and adults after mid-March 2020 is limited due to constraints on surveillance during the COVID-19 pandemic. Objective: To evaluate whether substance use prevalence in the early part of the pandemic (2020) differed from the prepandemic periods of 2018 to 2019 and 2016 to 2018. Design, Setting, and Participants: This cross-sectional study was a repeated analysis of 2016 to 2020 data from a nationally representative sample of youths and adults in the Population Assessment of Tobacco and Health (PATH) Study. Participants were representative of the US civilian noninstitutionalized population. Household residents age 13 years or older were interviewed in person from 2016 to 2019 and via telephone in 2020. Exposures: Age, calendar year. Main Outcomes and Measures: Past 30-day self-reported use of any tobacco, any alcohol, binge drinking, cannabis, and any other illegal or misused prescription drugs. Results: The overall nationally representative 2020 sample included 7129 youths (ages 13-17 years), 3628 young adults (ages 18-20 years), and 8874 adults (ages ≥21 years). Comparing 2018 to 2019 with 2020 among youths, prevalence of all substances used declined (eg, cannabis use declined in those aged 16-17 years from 14.9% to 7.6%; absolute difference, -7.3 percentage points [95% CI -8.8 to -5.8 percentage points]). Among young adults, prevalence of all substances other than any alcohol decreased significantly (eg, tobacco use declined from 37.8% to 22.8%; absolute difference, -15.1 percentage points [95% CI -16.8 to -13.3 percentage points]). In adults ages 21 to 24 years, any tobacco use declined from 39.0% to 30.9% (absolute difference, -8.2 percentage points [95% CI, -10.6 to -5.7 percentage points]), and alcohol use increased from 60.2% to 65.2% (absolute difference, 5.0 percentage points [95% CI, 2.3 to 7.7 percentage points]). Among adults aged 25 years or older, any tobacco use declined from 39.0% to 30.9% (absolute difference, -8.2 percentage points [95% CI, -10.6 to -5.7 percentage points]), cannabis use increased from 11.3% to 12.4% (absolute difference, 1.2 percentage points [95% CI, 0.3 to 2.0 percentage points]), and other substance use declined from 5.8% to 3.7% (absolute difference, -2.1 percentage points [95% CI, -2.9 to -1.4 percentage points]). Conclusions and Relevance: In this cross-sectional study, substance use decreased between 2019 and 2020 among those aged 13 to 20 years; consistent declines were not seen in older persons other than tobacco use reductions, and cannabis use increased among adults ages 25 years and older. While social changes during the COVID-19 pandemic could have affected substance use, findings should be interpreted with caution due to differences in data collection methods in 2016 to 2019 and 2020.

RETRACTED: Changes in Tobacco Dependence and Association With Onset and Progression of Use by Product Type From Wave 1 to Wave 3 of the Population Assessment of Tobacco and Health (PATH) Study.

INTRODUCTION: This study examined trajectories of tobacco dependence (TD) in relation to changes in tobacco product use and explored the effects of product-specific adding, switching, or discontinued use on dependence over time. AIMS AND METHODS: Data were analyzed from the first three waves of the Population Assessment of Tobacco and Health (PATH) Study, a nationally representative, longitudinal study of adults and youth in the United States. Data included 9556 Wave 1 (2013/2014) adult current established tobacco users who completed all three interviews and had established use at ≥2 assessments. Groups included cigarettes-only users, e-cigarettes-only users, cigars-only users, hookah-only users, any smokeless-only users, cigarette + e-cigarette dual users, and multiple product users. A validated 16-item scale assessed TD across product users. RESULTS: Wave 1 e-cigarette-only users' who maintained exclusive e-cigarette use increased levels of TD through Wave 3 as did those who added or switched to another product. Wave 1 multiple product users' TD decreased across waves. TD for all other Wave 1 user groups remained about the same. For Wave 1 cigarette-only smokers, switching to another product or moving to a pattern of no established use was associated with lower levels of TD than smokers whose use stayed the same. Movement to no established use of any tobacco product was consistently associated with lower TD for all other product users. CONCLUSIONS: Except for Wave 1 e-cigarette-only users, TD among US tobacco product users was stable over time, with daily users less likely to vary from baseline. IMPLICATIONS: The level of TD among most US tobacco users was stable over the first three waves of the PATH Study and trends in levels of TD were predominantly unrelated to changes in patterns of continued product use. Stable levels of TD suggest a population at persistent risk of health impacts from tobacco. Wave 1 e-cigarette users, including those maintaining exclusive e-cigarette use, experienced increasing levels of TD over time, perhaps because of increases in quantity or frequency of their e-cigarette product use or increasing efficiency of nicotine delivery over time.

Variability in Urinary Nicotine Exposure Biomarker Levels Between Waves 1 (2013-2014) and 2 (2014-2015) in the Population Assessment of Tobacco and Health Study.

INTRODUCTION: To date, no studies have evaluated the consistency of biomarker levels in people who smoke over a long-time period in real-world conditions with a large number of subjects and included use behavior and measures of nicotine metabolism. We evaluated the variability of biomarkers of nicotine exposure over approximately a 1-year period in people who exclusively smoke cigarettes, including intensity and recency of use and brand switching to assess impact on understanding associations with product characteristics. AIMS AND METHODS: Multivariate regression analysis of longitudinal repeated measures of urinary biomarkers of nicotine exposure from 916 adults in the Population Assessment of Tobacco and Health (PATH) Study with demographic characteristics and use behavior variables. Intraclass correlation coefficients (ICCs) were calculated to examine individual variation of nicotine biomarkers and the uncertainty of repeat measures at two time points (Waves 1 and 2). RESULTS: Age, race, and urinary creatinine were significant covariates of urinary cotinine. When including use behavior, recency, and intensity of use were highly significant and variance decreased to a higher extent between than within subjects. The ICC for urinary cotinine decreased from 0.7530 with no use behavior variables in the model to 0.5763 when included. Similar results were found for total nicotine equivalents. CONCLUSIONS: Urinary nicotine biomarkers in the PATH Study showed good consistency between Waves 1 and 2. Use behavior measures such as time since last smoked a cigarette and number of cigarettes smoked in the past 30 days are important to include when assessing factors that may influence biomarker concentrations. IMPLICATIONS: The results of this study show that the consistency of the nicotine biomarkers cotinine and total nicotine equivalents in spot urine samples from Waves 1 to 2 of the PATH Study is high enough that these data are useful to evaluate the association of cigarette characteristics with biomarkers of exposure under real-world use conditions.

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.

Tobacco Use and Incidence of Adverse Oral Health Outcomes Among US Adults in the Population Assessment of Tobacco and Health Study.

Importance: Evolving tobacco use patterns, including increasing electronic nicotine delivery systems (ENDS) use, warrant re-examination of the associations between tobacco use and oral health. Objective: To examine associations between tobacco product use and incidence of adverse oral health outcomes. Design, Setting, and Participants: This cohort study used nationally representative data from wave (W) 1 to W5 (2013-2019) of the Population Assessment of Tobacco and Health Study. Recruitment used a stratified address-based, area-probability household sample of the noninstitutionalized US civilian population. The W1 cohort included respondents aged 18 years and older without lifetime history of oral health outcomes at W1 or W3, depending on when the outcome was first assessed. Data analysis was performed from October 2021 to September 2022. Exposures: Current (every day or someday use) established (lifetime use of at least 100 cigarettes or "fairly regular" use of other products) use of cigarettes, ENDS, cigars, pipes, hookah, snus, and smokeless tobacco, excluding snus at W1 to W4. Main Outcomes and Measures: The primary outcomes were past 12-month self-reported diagnosis of gum disease and precancerous oral lesions (W2-W5) and bone loss around teeth, bleeding after brushing or flossing, loose teeth, and 1 or more teeth removed (W4-W5). Results: Sample sizes varied across the 6 oral health outcomes (13 149 respondents for the gum disease sample, 14 993 respondents for the precancerous oral lesions sample, 16 312 respondents for the bone loss around teeth sample, 10 286 respondents for the bleeding after brushing or flossing sample, 15 686 respondents for the loose teeth sample, and 12 061 respondents for the 1 or more teeth removed sample). Slightly more than half of adults (52%-54% across the 6 samples) were women, and the majority were of non-Hispanic White race and ethnicity. Cox proportional hazards models were developed with covariates that included time-dependent tobacco use variables mutually adjusted for each other. Cigarette smoking was positively associated with incidence of gum disease diagnosis (adjusted hazard ratio [AHR], 1.33; 95% CI, 1.11-1.60), loose teeth (AHR, 1.35; 95% CI, 1.05-1.75), and 1 or more teeth removed (AHR, 1.43; 95% CI, 1.18-1.74). Cigar smoking was positively associated with incidence of precancerous oral lesions (AHR, 2.18; 95% CI, 1.38-3.43). In addition, hookah smoking was positively associated with incidence of gum disease diagnosis (AHR, 1.78; 95% CI, 1.20-2.63), and ENDS use was positively associated with incidence of bleeding after brushing or flossing (AHR, 1.27; 95% CI, 1.04-1.54). No associations were observed between snus and smokeless tobacco excluding snus and incidence of oral health outcomes. Conclusions and Relevance: The observed associations of combustible tobacco use with incidence of several adverse oral health outcomes and ENDS use with incidence of bleeding after brushing or flossing highlight the importance of longitudinal studies and emphasize the continued importance of tobacco cessation counseling and resources in clinical practice.

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).

INTRODUCTION: While 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. METHODS: Data 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. RESULTS: Nearly 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. CONCLUSIONS: Cigarette 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.

Cardiovascular Outcomes among Combustible-Tobacco and Electronic Nicotine Delivery System (ENDS) Users in Waves 1 through 5 of the Population Assessment of Tobacco and Health (PATH) Study, 2013-2019.

BACKGROUND: Prior studies have not clearly established risk of cardiovascular disease (CVD) among smokers who switch to exclusive use of electronic nicotine delivery systems (ENDS). We compared cardiovascular disease incidence in combustible-tobacco users, those who transitioned to ENDS use, and those who quit tobacco with never tobacco users. METHODS: This prospective cohort study analyzes five waves of Population Assessment of Tobacco and Health (PATH) Study data, Wave 1 (2013-2014) through Wave 5 (2018-2019). Cardiovascular disease (CVD) incidence was captured over three intervals (Waves 1 to 3, Waves 2 to 4, and Waves 3 to 5). Participants were adults (40+ years old) without a history of CVD for the first two waves of any interval. Change in tobacco use status, from exclusive past 30 day use of any combustible-tobacco product to either exclusive past 30 day ENDS use, dual past 30 day use of ENDS and combustible-tobacco, or no past 30 day use of any tobacco, between the first two waves of an interval was used to predict onset of CVD between the second and third waves in the interval. CVD incidence was defined as a new self-report of being told by a health professional that they had congestive heart failure, stroke, or a myocardial infarction. Generalized estimating equation (GEE) analyses combined 10,548 observations across intervals from 7820 eligible respondents. RESULTS: Overall, there were 191 observations of CVD among 10,548 total observations (1.7%, standard error (SE) = 0.2), with 40 among 3014 never users of tobacco (1.5%, SE = 0.3). In multivariable models, CVD incidence was not significantly different for any tobacco user groups compared to never users. There were 126 observations of CVD among 6263 continuing exclusive combustible-tobacco users (adjusted odds ratio [AOR] = 1.44; 95% confidence interval (CI) 0.87-2.39), 15 observations of CVD among 565 who transitioned to dual use (AOR = 1.85; 0.78-4.37), and 10 observations of CVD among 654 who quit using tobacco (AOR = 1.18; 0.33-4.26). There were no observations of CVD among 53 who transitioned to exclusive ENDS use. CONCLUSIONS: This study found no difference in CVD incidence by tobacco status over three 3 year intervals, even for tobacco quitters. It is possible that additional waves of PATH Study data, combined with information from other large longitudinal cohorts with careful tracking of ENDS use patterns may help to further clarify this relationship.

Factors associated with changes in flavored tobacco products used: Findings from wave 2 and wave 3 (2014-2016) of the population assessment of tobacco and health (PATH) study.

INTRODUCTION: Flavored non-cigarette tobacco product use is widespread in the U.S. The availability of flavor options could be playing a role in recent increases in use, especially for non-cigarette tobacco products, among youth and young adults. Little is known about specific flavor preferences of youth and adult flavored tobacco product users, as well as how preferences may change over time. METHODS: This study analyzes PATH Study data from completed Wave 2 (2014-2015) and Wave 3 (2015-2016) youth (12-17 years), and adult (18 + years) interviews to estimate the prevalence of flavored non-cigarette tobacco product use. We assess flavor switching by examining changes between flavors and characteristics of those who changed flavors between waves. RESULTS: Across age groups, and at both waves, fruit-flavored products were the most frequently used flavor by past 30-day electronic nicotine delivery systems (ENDS), cigar, cigarillo, and hookah users. In the past 30 days, a higher proportion of youth and young adults used candy/sweets-flavored ENDS than adults. Among adult ENDS users, the odds of changing flavors were highest among younger users and decreased with increasing age. CONCLUSIONS: Flavored tobacco product use is prevalent across non-cigarette tobacco products. Stability in the number of flavors used, as well as specific flavors, is higher among adult tobacco users, while the use of multiple flavors, and change in specific flavor, is more prevalent among youth tobacco users. Additional longitudinal research can further examine the role flavors play in appeal, product trial, and switching.

Validation of the Wave 1 and Wave 2 Population Assessment of Tobacco and Health (PATH) Study Indicators of Tobacco Dependence Using Biomarkers of Nicotine Exposure Across Tobacco Products.

INTRODUCTION: This study examined the predictive relationships between biomarkers of nicotine exposure and 16-item self-reported level of tobacco dependence (TD) and subsequent tobacco use outcomes. AIMS AND METHODS: The Population Assessment of Tobacco and Health (PATH) Study surveyed adult current established tobacco users who provided urine biospecimens at Wave 1 (September 2013-December 2014) and completed the Wave 2 (October 2014-October 2015) interview (n = 6872). Mutually exclusive user groups at Wave 1 included: Cigarette Only, E-cigarette Only, Cigar Only, Hookah Only, Smokeless Tobacco Only, Cigarette Plus E-cigarette, multiple tobacco product users who smoked cigarettes, and multiple tobacco product users who did not smoke cigarettes. Total Nicotine Equivalents (TNE-2) and TD were measured at Wave 1. Approximate one-year outcomes included frequency/quantity used, quitting, and adding/switching to different tobacco products. RESULTS: For Cigarette Only smokers and multiple tobacco product users who smoked cigarettes, higher TD and TNE-2 were associated with: a tendency to smoke more, smoking more frequently over time, decreased likelihood of switching away from cigarettes, and decreased probability of quitting after one year. For other product user groups, Wave 1 TD and/or TNE-2 were less consistently related to changes in quantity and frequency of product use, or for adding or switching products, but higher TNE-2 was more consistently predictive of decreased probability of quitting. CONCLUSIONS: Self-reported TD and nicotine exposure assess common and independent aspects of dependence in relation to tobacco use behaviors for cigarette smokers. For other product user groups, nicotine exposure is a more consistent predictor of quitting than self-reported TD. IMPLICATIONS: This study suggests that smoking cigarettes leads to the most coherent pattern of associations consistent with a syndrome of TD. Because cigarettes continue to be prevalent and harmful, efforts to decrease their use may be accelerated via conventional means (eg, smoking cessation interventions and treatments), but also perhaps by decreasing their dependence potential. The implications for noncombustible tobacco products are less clear as the stability of tobacco use patterns that include products such as e-cigarettes continue to evolve. TD, nicotine exposure measures, and consumption could be used in studies that attempt to understand and predict product-specific tobacco use behavioral outcomes.

Association of e-Cigarette Use With Discontinuation of Cigarette Smoking Among Adult Smokers Who Were Initially Never Planning to Quit.

Importance: Cigarette smokers not planning to quit are often overlooked in population studies evaluating the risk-benefit potential of electronic nicotine delivery products (e-cigarettes). Objective: To evaluate whether e-cigarette use is associated with discontinuing cigarette smoking among smokers who were initially never planning to quit. Design, Setting, and Participants: This cohort study used US nationally representative data from the longitudinal Population Assessment of Tobacco and Health Study (waves 2-5 conducted between October 2014 and November 2019), with participants evaluated in 3 pairs of interviews. Adult daily cigarette smokers initially not using e-cigarettes and with no plans to ever quit smoking for good (2489 observations from 1600 individuals) were included. Exposures: e-Cigarette use (ie, daily use, nondaily use, or no use) at follow-up interview among smokers not using e-cigarettes at baseline interview. Main Outcomes and Measures: The main outcomes were discontinuation of cigarette smoking (ie, no cigarette smoking) and discontinuation of daily cigarette smoking (ie, no daily cigarette smoking) at follow-up interview. Generalized estimating equations were used to evaluate the association between the exposure and each outcome, controlling for demographic characteristics and cigarettes smoked per day at baseline interview; all estimates were weighted. Results: The weighted population of adult daily cigarette smokers who were not using e-cigarettes and had no plans to ever quit smoking, based on data from 1600 participants, was 56.1% male (95% CI, 53.4%-58.7%), 10.1% Hispanic (95% CI, 8.2%-12.3%), 10.1% non-Hispanic Black (95% CI, 8.7%-11.7%), 75.6% non-Hispanic White (95% CI, 72.9%-78.2%), and 4.2% of other non-Hispanic race (95% CI, 3.3%-5.4%); 29.3% were aged 55 to 69 years (95% CI, 26.2%-32.6%), 8.9% were aged 70 years or older (95% CI, 6.8%-11.5%), 36.8% did not graduate from high school (95% CI, 34.1%-39.6%), 55.2% had an annual household income of less than $25 000 (95% CI, 52.3%-58.1%), 37.6% smoked 20 to 29 cigarettes per day (95% CI, 34.7%-40.6%), and 12.7% smoked 30 or more cigarettes per day (95% CI, 10.9%-14.7%). Overall, 6.2% of the population (95% CI, 5.0%-7.5%) discontinued cigarette smoking. Discontinuation rates were higher among those who used e-cigarettes daily (28.0%; 95% CI, 15.2%-45.9%) compared with not at all (5.8%; 95% CI, 4.7%-7.2%; adjusted odds ratio [aOR], 8.11; 95% CI, 3.14-20.97). Furthermore, 10.7% (95% CI, 9.1%-12.5%) discontinued daily cigarette smoking, with higher rates of discontinuation observed among those who used e-cigarettes daily (45.5%; 95% CI, 27.4%-64.9%) compared with not at all (9.9%; 95% CI, 8.2%-11.8%; aOR, 9.67; 95% CI, 4.02-23.25). Nondaily e-cigarette use was not associated with cigarette discontinuation (aOR, 0.53; 95% CI, 0.08-3.35) or daily cigarette discontinuation (aOR, 0.96; 95% CI, 0.44-2.09). Conclusions and Relevance: In this cohort study, daily e-cigarette use was associated with greater odds of cigarette discontinuation among smokers who initially had no plans to ever quit smoking. These findings support the consideration of smokers who are not planning to quit when evaluating the risk-benefit potential of e-cigarettes for smoking cessation in the population.

E-Cigarette Flavors and Frequency of E-Cigarette Use among Adult Dual Users Who Attempt to Quit Cigarette Smoking in the United States: Longitudinal Findings from the PATH Study 2015/16-2016/17.

Potential mechanisms by which e-cigarette use may relate to combustible cigarette smoking cessation are not well-understood. We used U.S. nationally representative data to prospectively evaluate the relationship between e-cigarette flavor use and frequency of e-cigarette use among adult cigarette/e-cigarette dual users who attempted to quit smoking cigarettes. Analyses used Population Assessment of Tobacco and Health (PATH) Study data from adult dual users (2015/16) who attempted to quit smoking between 2015/16 and 2016/17 (Wave 3-Wave 4, n = 685, including those who did/did not quit by 2016/17). E-cigarette flavor use (usual/last flavor, past 30-day flavor; assessed in 2015/16) was categorized into Only tobacco; Only menthol/mint; Only non-tobacco, non-menthol/mint; and Any combination of tobacco, menthol/mint, other flavor(s). The key outcome, evaluated at follow-up in 2016/17, was frequent e-cigarette use, which was defined as use on 20+ of past 30 days. Logistic regression was used to evaluate associations between e-cigarette flavor use in 2015/16 and frequent e-cigarette use at follow-up in 2016/17. Dual users who attempted to quit smoking had greater odds of frequent e-cigarette use at follow-up when they used only non-tobacco, non-menthol/mint flavor than when they used only tobacco flavor as their regular/last e-cigarette flavor (OR = 1.9, 95% CI: 1.1-3.4); findings were no longer significant when adjusted for factors including e-cigarette device type (AOR = 1.4, 95% CI: 0.7-2.8). Past 30-day e-cigarette flavor use results were generally similar, although frequent e-cigarette use at follow-up was highest among those who used any combination of tobacco, menthol/mint, or other flavors. Findings indicate that e-cigarette flavor use among dual users who attempt to quit smoking may be related to e-cigarette use frequency overall, which may indicate a mechanism underlying findings for e-cigarette use and smoking cessation. Further longitudinal research may help to disentangle how e-cigarette characteristics uniquely impact e-cigarette use frequency and smoking cessation/sustained use.

School Use and Normative Perceptions of Electronic Nicotine Product Use Among Middle and High School Students-November 2018.

PURPOSE: This study examined U.S. middle and high school student observations of electronic nicotine product (ENP) use in and around the school building and students' normative perceptions of use among peers. METHODS: Adolescents and young adult participants enrolled in middle (n = 672) or high school (n = 962) were recruited from an online nationally representative panel and surveyed from November 2 to 15, 2018. They answered questions on observed ENP use in and around the school building as well as perceptions of use among peers. RESULTS: Nearly one in five U.S. middle and high school students believed that at least half of their peers used ENPs. Confirming anecdotal reports, nearly six in 10 reported ever seeing someone use ENPs in or around their school, most often outside the school building and in bathrooms or locker rooms. CONCLUSIONS: The findings of this study underscore the importance of targeted prevention strategies and education efforts to prevent and combat adolescent ENP use in and around schools.

Association of Electronic Nicotine Delivery System Use With Cigarette Smoking Progression or Reduction Among Young Adults.

Importance: The prevalence of electronic nicotine delivery systems (ENDS) use, including e-cigarettes, among US young adults (YAs) has raised questions about how these products may affect future tobacco and nicotine use among YAs. Given this prevalence and that young adulthood is a critical period for the establishment of tobacco and nicotine use, it is important to consider the association between ENDS use and cigarette smoking specifically in this age group. Objective: To examine whether ENDS use frequency or intensity is associated with changes in cigarette smoking among US YA ever smokers during 1 year. Design, Setting, and Participants: This cohort study used 3 waves of data (2013-2014, 2014-2015, and 2015-2016) from the Population Assessment of Tobacco and Health (PATH) Study, an ongoing longitudinal cohort study of adults and youth. Unweighted 1:6 propensity score matching was used to match participants on wave 1 risk factors for ENDS use at wave 2. The changes in smoking between wave 2 and wave 3 were assessed using the matched sample. In total, 1096 ENDS-naive, ever cigarette-smoking YAs (18-24 years of age) at wave 1 who participated in wave 2 and wave 3 and who had complete data in the PATH Study were included in the analyses, which were conducted from August 2018 to October 2019. Exposures: Never ENDS use (n = 987), any previous 30-day ENDS use (n = 109), 1 to 5 days of ENDS use in the previous 30 days (n = 75), and 6 or more days ENDS use in the previous 30 days at wave 2 (n = 34). Main Outcomes and Measures: The analytic sample was selected using multiple variables based on peer-reviewed literature supporting associations with ENDS use. The main outcomes-changes in cigarette smoking behavior between wave 2 and wave 3-were defined using 2 measures: (1) change in smoking frequency, defined as the number of smoking days in the previous 30 days at wave 3 vs wave 2, and (2) change in smoking intensity, defined as the number smoking days in the previous 30 days multiplied by the mean number of cigarettes consumed on smoking days at wave 3 vs wave 2. Results: The present cohort analyses included 1096 YA ever smokers who were ENDS naive at wave 1. The majority of the sample were women (609 [55.6%]) and White individuals (698 [63.7%]), and the mean (SD) age was 21.4 (1.9) years. In wave 1, 161 YAs (14.7%) were daily smokers in the previous 30 days. After propensity score matching, no statistically significant associations were observed between any definition of wave 2 ENDS use and changes in either the frequency or intensity of smoking at wave 3. Conclusions and Relevance: In this cohort study of US YA ever smokers, ENDS use was not associated with either decreased or increased cigarette smoking during a 1-year period. However, it is possible that the rapidly evolving marketplace of vaping products may lead to different trajectories of YA cigarette and ENDS use in the future.

Role of e-cigarettes and pharmacotherapy during attempts to quit cigarette smoking: The PATH Study 2013-16.

BACKGROUND: More smokers report using e-cigarettes to help them quit than FDA-approved pharmacotherapy. OBJECTIVE: To assess the association of e-cigarettes with future abstinence from cigarette and tobacco use. DESIGN: Cohort study of US sample, with annual follow-up. PARTICIPANTS: US adult (ages 18+) daily cigarette smokers identified at Wave 1 (W1; 2013-14) of the PATH Study, who reported a quit attempt before W2 and completed W3 (n = 2443). EXPOSURES: Use of e-cigarettes, pharmacotherapy (including nicotine replacement therapy), or no product for last quit attempt (LQA), and current daily e-cigarette use at W2. ANALYSIS: Propensity score matching (PSM) of groups using different methods to quit. OUTCOME MEASURES: 12+ months abstinence at W3 from cigarettes and from all tobacco (including e-cigarettes). 30+ days abstinence at W3 was a secondary outcome. RESULTS: Among daily smokers with an LQA, 23.5% used e-cigarettes, 19.3% used pharmacotherapy only (including NRT) and 57.2% used no product. Cigarette abstinence for 12+ months at W3 was ~10% in each group. Half of the cigarette abstainers in the e-cigarette group were using e-cigarettes at W3. Different methods to help quitting had statistically comparable 12+ month cigarette abstinence at W3 (e-cigarettes vs no product: Risk Difference (RD) = 0.01, 95% CI: -0.04 to 0.06; e-cigarettes vs pharmacotherapy: RD = 0.02, 95% CI:-0.04 to 0.09). Likewise, daily e-cigarette users at W2 did not show a cessation benefit over comparable no-e-cigarette users and this finding was robust to sensitivity analyses. Abstinence for 30+ days at W3 was also similar across products. LIMITATIONS: The frequency of e-cigarette use during the LQA was not assessed, nor was it possible to assess continuous abstinence from the LQA. CONCLUSION: Among US daily smokers who quit cigarettes in 2014-15, use of e-cigarettes in that attempt compared to approved cessation aids or no products showed similar abstinence rates 1-2 years later.

Predictive validity of the adult tobacco dependence index: Findings from waves 1 and 2 of the Population Assessment of Tobacco and Health (PATH) study.

BACKGROUND AND AIMS: Building on published work1 establishing concurrent validity of a self-report tobacco dependence (TD) index among users of different tobacco products in Wave 1 (W1) of the Population Assessment of Tobacco and Health (PATH) Study, the current study examines prospective relationships with tobacco use behaviors to establish predictive validity of the TD index. Hypotheses suggested high levels of W1 TD would be associated with persistent tobacco use at Wave 2 (W2). PARTICIPANTS: A U.S. nationally representative sample of 32,320 adult W1 and W2 interviews focused on 11,615 W1 adults who were current established tobacco users and completed the W2 interview. FINDINGS: Higher TD scores and greater changes in TD scores were associated with greater quantity and frequency of tobacco use at the W2 interview for Cigarette Only (n = 7068), Smokeless (smokeless or snus pouches) Only (n = 772), Cigarette plus E-Cigarette (n = 592), and Multiple Products (n = 1866) users, although not significantly so for E-Cigarette Only (n = 367), Cigar Only (traditional, cigarillo, or filtered) (n = 584), or Hookah Only (n = 366) users. Higher TD was associated with decreased odds of successful quitting for Cigarette and Multiple Product users. Higher TD was associated with increased odds of a quit attempt for those in the Hookah and Multiple Products user groups and was not associated with quit attempts or deceased odds of quit success among exclusive E-Cigarette, Cigar, Smokeless and Cigarette plus E-Cigarette users. CONCLUSION: Support for the predictive validity of the PATH Study measures of adult TD will enable regulatory investigations of TD across several tobacco products.