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.

Association between tobacco product use and asthma among US adults from the Population Assessment of Tobacco and Health (PATH) Study waves 2-4.

BACKGROUND: Research on cigarettes and adult asthma offers mixed findings, perhaps due to overlap with chronic obstructive pulmonary disease (COPD) and inadequate adjustment for other smoke exposures. Associations between other tobacco products, including e-cigarettes, and asthma are also understudied. RESEARCH QUESTION: Using Population Assessment of Tobacco and Health Study waves 2-4 (2014/2015-2016/2017) data, we assessed the relation between tobacco product use and asthma in persons unlikely to have COPD. STUDY DESIGN AND METHODS: Prospective study of 10 267 adults aged 18-39 years without COPD diagnoses. Past-month tobacco use at wave 2 was modelled first as combustible versus non-combustible use and second as specific product categories (former, cigarettes, e-cigarettes, cigars, hookah, smokeless tobacco). Outcomes included lifetime asthma prevalence at wave 2, incidence (waves 3 and 4) and Asthma Control Test score (lower=worse). Multivariable regressions adjusted for predictors of asthma, including other smoke exposures: cigarette pack-years, secondhand smoke and marijuana use. Sensitivity analyses examined findings when persons >39 years and those with both COPD and asthma were added, and when smoke exposure adjustments were removed. RESULTS: No product, including cigarettes and e-cigarettes, was associated with prevalence or incidence of asthma. Among people with asthma at wave 2, combustible tobacco (beta=-0.86, 95% CI (-1.32 to -0.39)) and cigarettes (beta=-1.14, 95% CI (-1.66 to -0.62)) were associated with worse asthma control. No tobacco product was associated with asthma control over time. In sensitivity analyses, tobacco use became associated with incident asthma as adults >39 years and those with asthma+COPD were added, and as adjustments for other smoke exposures were omitted. INTERPRETATION: Although cigarette use was associated with worse asthma control, there were no longitudinal associations between combustible tobacco or e-cigarette use and new onset or worsening asthma in these preliminary analyses. Research on tobacco and asthma should exclude COPD and adjust for smoking history and other smoke exposures.

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

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

Tobacco Product Use and Functionally Important Respiratory Symptoms Among US Adolescents/Young Adults.

OBJECTIVE: The relation between respiratory symptoms and the range of tobacco product use among US adolescents/young adults is not yet clear. This cross-sectional analysis examines tobacco product use and respiratory symptoms in a nationally representative sample of 21,057 adolescents/young adults aged 12-24 years from Wave 4 (2016-17) of the Population Assessment of Tobacco and Health Study. METHODS: Presence of functionally important respiratory symptoms was defined by questions regarding wheezing and nighttime cough at a cutoff score associated with poorer functional health status. Past-30-day tobacco use was analyzed 2 ways: never-tobacco users (reference) versus combustible users, noncombustible-only users, and former users; or frequency of use of cigarettes and/or e-cigarettes. Weighted Poisson regression adjusted for past-30-day marijuana use, secondhand smoke exposure, and asthma. RESULTS: Functionally important respiratory symptoms were present in 10.0% overall: 13.8% of combustible users, 9.0% of noncombustible users, 8.2% of noncurrent users and 9.7% of never users. Functionally important respiratory symptoms were associated with combustible tobacco use (relative risk [RR] = 1.52[95% CI 1.29, 1.80]), marijuana use (RR = 1.54[1.34, 1.77]) and secondhand smoke exposure (RR = 1.04[1.03, 1.05]). Higher cigarette smoking frequency was also associated with functionally important respiratory symptoms for frequency categories >14 days/month (eg, RR = 1.93[1.50, 2.49] for 15-29 days/month). Frequency of e-cigarette use was not associated with functionally important respiratory symptoms. CONCLUSIONS: During 2016-17, smoking cigarettes, marijuana use, and secondhand smoke exposure were cross-sectionally associated with functionally important respiratory symptoms in adolescents/young adults. Risk increased with increased frequency of cigarette use but not e-cigarette use. Given changes to contemporary e-cigarettes and use, findings may not generalize to newer products.

Exposure to Television Alcohol Brand Appearances as Predictor of Adolescent Brand Affiliation and Drinking Behaviors.

Adolescence and the transition to adulthood is an important developmental stage in the emergence of health risk behaviors, specifically underage alcohol use. Adolescents consume a tremendous amount of screened media (primarily streamed television), and media depictions of behaviors is prospectively linked to youth initiation of behaviors. With the arrival of streamed media technology, alcohol advertising can be nested within television content. This study describes alcohol brand depictions in television and evaluates impact of exposure to such depictions on adolescent drinking outcomes. A national sample of 2012 adolescents (Mage = 17.07; SD = 1.60 years, range 15-20; 50.70% female) reported on television viewership, alcohol brand affiliation, and drinking behavior, with follow-up one year later. Ten series (that remain relevant to youth today) across television ratings from a single television season were content coded for presence/salience of alcohol brand appearances. Adjusting for covariates (e.g., peer/parent drinking, youth sensation seeking, movie alcohol brand exposure), higher exposure to brand appearances in the television shows was associated with youth drinking. Aspirational and usual brand to drink corresponded to television alcohol brand prominence, and television brand exposure was independently associated with drinking initiation and hazardous drinking.

Validation of an Index for Functionally Important Respiratory Symptoms among Adults in the Nationally Representative Population Assessment of Tobacco and Health Study, 2014-2016.

The purpose of this study is to validate the seven-item wheezing module from the International Study of Asthma and Allergies in Children (ISAAC) in the nationally representative Population Assessment of Tobacco and Health Study. Adult participants with complete Wave 2-3 data were selected, including those with asthma but excluding those with COPD and other respiratory diseases (n = 16,295). We created a nine-point respiratory symptom index from the ISAAC questions, assessed the reliability of the index, and examined associations with self-reported asthma diagnosis. Threshold values were assessed for association with functional outcomes. The weighted prevalence for one or more respiratory symptom was 18.0% (SE = 0.5) for adults without asthma, 70.1% (SE = 1.3) for those with lifetime asthma, 75.7% (SE = 3.7) for adults with past-year asthma not on medications, and 92.6% (SE = 1.6) for those on medications. Cronbach's alpha for the respiratory symptom index was 0.86. Index scores of ≥2 or ≥3 yielded functionally important respiratory symptom prevalence of 7-10%, adequate sensitivity and specificity for identifying asthma, and consistent independent associations with all functional outcomes and tobacco use variables. Respiratory symptom index scores of ≥2 or ≥3 are indicative of functionally important respiratory symptoms and could be used to assess the relationship between tobacco use and respiratory health.

Improving Care for Childhood Obesity: A Quality Improvement Initiative.

Obesity affected 13.7 million children in the United States in 2015. The American Academy of Pediatrics (AAP) offers an evidence-based approach to obesity management, but adherence to recommendations is suboptimal. Our objective was to improve provider adherence to the AAP recommendations for care of patients with obesity by making systematic changes in our practice for patients of ages > 2 and younger than 19 years with a BMI > 95th percentile. METHODS: We performed a retrospective chart review of 417 qualifying encounters to assess adherence in the six months preceding the initiative. We measured adherence as a proportion of eligible patients who had (1) obesity on the problem list; (2) laboratory work offered; (3) counseling provided; (4) early follow-up recommended; (5) referral to a weight management program. In 2018, a multidisciplinary QI team conducted plan-do-study-act cycles to educate providers on the AAP recommendations and improve obesity-related care systems. The initiative lasted 18 months. RESULTS: During the initiative, we tracked 885 patient encounters via chart review. We witnessed continued improvement in 4 out of 5 measures. For early follow-up offered, we saw improvement after PDSA 1, followed by a decline after PDSA 3. Providers ordered laboratory tests in only 13% of encounters for eligible children ages younger than 6 years versus 45% for ages older than 6 years, an age-dependent disparity that persisted despite the QI initiative. CONCLUSION: Our pediatric practice sustained improvement in adherence to AAP recommendations. There is a need to assess the reasons behind the care disparity based on patient ages.

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.

The Effects of Nicotine on Development.

Recently, there has been a significant increase in the use of noncombustible nicotine-containing products, including electronic cigarettes (e-cigarettes). Of increasing popularity are e-cigarettes that can deliver high doses of nicotine over short periods of time. These devices have led to a rise in nicotine addiction in adolescent users who were nonsmokers. Use of noncombustible nicotine products by pregnant mothers is also increasing and can expose the developing fetus to nicotine, a known teratogen. In addition, young children are frequently exposed to secondhand and thirdhand nicotine aerosols generated by e-cigarettes, with little understanding of the effects these exposures can have on health. With the advent of these new nicotine-delivery systems, many concerns have arisen regarding the short- and long-term health effects of nicotine on childhood health during all stages of development. Although health studies on nicotine exposure alone are limited, educating policy makers and health care providers on the potential health effects of noncombustible nicotine is needed because public acceptance of these products has become so widespread. Most studies evaluating the effects of nicotine on health have been undertaken in the context of smoke exposure. Nevertheless, in vitro and in vivo preclinical studies strongly indicate that nicotine exposure alone can adversely affect the nervous, respiratory, immune, and cardiovascular systems, particularly when exposure occurs during critical developmental periods. In this review, we have included both preclinical and clinical studies to identify age-related health effects of nicotine exposure alone, examining the mechanisms underlying these effects.

Internet Alcohol Marketing Recall and Drinking in Underage Adolescents.

OBJECTIVE: Evidence suggests that adolescents are exposed to alcohol marketing in digital media. We aimed to assess recall of Internet alcohol marketing and its association with underage drinking. METHODS: New England adolescents age 12 to 17 years (N = 202) were recruited from a pediatric clinic. Subjects completed an online survey assessing: 1) general simple recall of Internet alcohol marketing and 2) image-prompted recall of specific Internet alcohol marketing channels (display ads, commercials, brand websites, and brand social media pages). Cross-sectional associations between recall (simple and image-prompted) and ever-drinking were each assessed in regression analysis adjusting for age, gender, race, parent education, ever-smoking, media use, sensation-seeking, peer/parent drinking, parent monitoring/responsiveness, and parent Internet monitoring. RESULTS: In this sample (Mage = 14.5 years; 55% female; 89% white; high parent education), 20% reported ever-drinking and 87% recalled Internet alcohol marketing. Of the latter, 67% recalled display ads, 67% Internet commercials, 5% websites, and 5% social media pages. In logistic regression, higher simple Internet alcohol advertising recall was independently associated with higher odds of ever-drinking for simple (adjusted odds ratio: 2.66 [1.04,6.83]) but not for image-prompted recall. CONCLUSIONS: Despite controlling for potential confounders, simple recall of Internet alcohol marketing was significantly associated with underage drinking whereas image-prompted recall was significant only in bivariate analysis, likely due to small sample and a more limited range of specific channels assessed than those accessed by adolescents. Further longitudinal studies using image-prompted recall and capturing a broader range of internet platforms could be used to better understand adolescent engagement with alcohol marketing and guide policy and prevention efforts.

A New Recall of Alcohol Marketing Scale for Youth: Measurement Properties and Associations With Youth Drinking Status.

OBJECTIVE: Adolescents are exposed to alcohol marketing through traditional advertising and through newer digital media channels. Cumulative marketing exposure across channels is of concern but has been insufficiently studied. This study explores the measurement of alcohol marketing exposure across channels and whether cumulative recalled exposure is independently associated with underage drinking. METHOD: Two hundred two New England adolescents (ages 12-17 years) were recruited from a general pediatrics clinic and completed an online survey. Recall of alcohol marketing across channels (e.g., Internet, magazines) was assessed, along with drinking behavior and relevant covariates (i.e., demographics, parental/peer drinking, smoking status, sensation seeking, Internet use, social media use, television use, and parental Internet monitoring). Confirmatory factor analysis was used to establish a latent construct of alcohol marketing exposure recall. Logistic regression tested associations between alcohol marketing recall and adolescent drinking, with covariates controlled for. RESULTS: Adolescents reported recall of alcohol marketing across all marketing channels. Alcohol marketing recall items were significantly correlated, with α = .83. The latent measurement model of alcohol marketing recall provided excellent fit to the data, χ2(17, n = 202) = 27.402, p = .052; root mean square error of approximation (.000-.092) = .055; Tucker-Lewis Index = .960; comparative fit index = .976; standardized root mean square residual = .037). Adjusted cross-sectional logistic regression analyses demonstrated that the latent alcohol marketing recall construct was significantly associated with underage drinking (adjusted odds ratio = 4.08, 95% CI [1.15, 14.46]) when relevant covariates were accounted for. CONCLUSIONS: The final measurement model provided support for construct validity of a novel alcohol marketing recall construct assessing cumulative cross-channel marketing exposure. Adolescent recall of alcohol marketing across channels was significantly associated with underage drinking, while associated factors such as peer/parental drinking were accounted for.

E-Cigarette Use and Future Cigarette Initiation Among Never Smokers and Relapse Among Former Smokers in the PATH Study.

OBJECTIVES: Any potential harm-reduction benefit of electronic cigarettes (e-cigarettes) could be offset by nonsmokers who initiate e-cigarette use and then smoke combustible cigarettes. We examined correlates of e-cigarette use at baseline with combustible cigarette smoking at 1-year follow-up among adult distant former combustible cigarette smokers (ie, quit smoking ≥5 years ago) and never smokers. METHODS: The Population Assessment of Tobacco and Health Study, a nationally representative, longitudinal study, surveyed 26 446 US adults during 2 waves: 2013-2014 (baseline) and 2014-2015 (1-year follow-up). Participants completed an audio computer-assisted interview in English or Spanish. We compared combustible cigarette smoking at 1-year follow-up by e-cigarette use at baseline among distant former combustible cigarette smokers and never smokers. RESULTS: Distant former combustible cigarette smokers who reported e-cigarette past 30-day use (9.3%) and ever use (6.7%) were significantly more likely than those who had never used e-cigarettes (1.3%) to have relapsed to current combustible cigarette smoking at follow-up (P < .001). Never smokers who reported e-cigarette past 30-day use (25.6%) and ever use (13.9%) were significantly more likely than those who had never used e-cigarettes (2.1%) to have initiated combustible cigarette smoking (P < .001). Adults who reported past 30-day e-cigarette use (7.0%) and ever e-cigarette use (1.7%) were more likely than those who had never used e-cigarettes (0.3%) to have transitioned from never smokers to current combustible cigarette smokers (P < .001). E-cigarette use predicted combustible cigarette smoking in multivariable analyses controlling for covariates. CONCLUSIONS: Policies and counseling should consider the increased risk for nonsmokers of future combustible cigarette smoking use as a result of using e-cigarettes and any potential harm-reduction benefits e-cigarettes might bring to current combustible cigarette smokers.

Public Support for Smoke-Free Section 8 Public Housing.

The U.S. Department of Housing and Urban Development (HUD) recently issued rules requiring that federally funded authorities administering public housing must have smoke-free policies. Importantly, this requirement does not extend to Section 8 housing. Under the Section 8 program, public housing vouchers provide subsidies for private rental housing to low-income residents. This study examines support for smoke-free policy options in Section 8 housing. Using a nationally representative survey of adults, we asked 3,070 respondents to agree or disagree with two potential policies. The majority (71%) supported prohibiting indoor smoking everywhere inside buildings that have Section 8 housing units. Alternatively, respondents were less supportive (38%) of a policy to prohibit smoking only inside units with Section 8 subsidies, and allowing smoking in nonsubsidized units. Prohibiting smoking in all units in multiunit housing (MUH) buildings would help protect the health of both the 2.2 million households who receive Section 8 subsidies and their neighbors.

Longitudinal e-Cigarette and Cigarette Use Among US Youth in the PATH Study (2013-2015).

BACKGROUND: Evidence is accumulating that youth who try Electronic Nicotine Delivery Systems (ENDS, e-cigarettes) may go on to try cigarettes. This analysis examines the bidirectional patterns of ENDS and cigarette use among US youth over one year and uses propensity score matching (PSM) to examine frequency of ENDS use on changes in cigarette smoking. METHODS: Our analysis included 11 996 participants who had two waves of available data (Wave 1 [W1] 2013-2014; Wave 2 [W2] 2014-2015) drawn from the longitudinal Population Assessment of Tobacco and Health Study. Cross-sectional weighted prevalence estimates are reported for cigarettes and ENDS. We used PSM to estimate the likelihood of ENDS use at W1 and to draw matched analytic samples, then used regression (logistic or linear) models to examine the effect of W1 ENDS use on W2 cigarette smoking. All statistical tests were two-sided. RESULTS: In weighted analyses, 69.3% of W1 past-30-day cigarette smokers exhibited past-30-day smoking at W2; 42.2% of W1 past-30-day ENDS users were using ENDS at W2. W1 ever use of either product was similarly associated with W2 new use of the other product. Unweighted PSM models indicated W1 cigarette-naïve ENDS use was associated with W2 ever-cigarette smoking (n = 676; adjusted odds ratio = 3.21, 95% confidence interval [CI] = 1.95 to 5.45, P < .001); W1 ever-ENDS use did not affect change in cigarette frequency at W2 (n = 1020, beta = 0.31, 95% CI = -0.76 to 1.39, P = .57); 1-5 days ENDS use compared with ever, no past-30-day ENDS use was associated with a statistically significant decrease of W2 smoking days (n = 256, beta = -2.64, 95% CI = -4.96 to -0.32; P = .03); and W1 6+ day ENDS users did not show a decrease in frequency of cigarette smoking. CONCLUSIONS: Ever-ENDS use predicts future cigarette smoking, and frequency of ENDS use has a differential impact on subsequent cigarette smoking uptake or reduction. These results suggest that both cigarettes and ENDS should be targeted in early tobacco prevention efforts with youth.

Youth Access to Tobacco Products in the United States: Findings From Wave 1 (2013-2014) of the Population Assessment of Tobacco and Health Study.

OBJECTIVES: Tobacco products in the US market are growing in diversity. Little is known about how youth access tobacco products given this current landscape. METHODS: Data were drawn from 15- to 17-year-olds from the Wave 1 youth sample of the US nationally representative Population Assessment of Tobacco and Health (PATH) Study. Past 30-day tobacco users were asked about usual sources of access to 12 different tobacco products, and if they had been refused sale because of their age. RESULTS: Among 15- to 17-year-olds, social sources ("someone offered" or "asked someone") were the predominant usual source of access for each tobacco product. "Bought by self" was the usual source of access for users of smokeless (excluding snus, 23.2%), cigarillos (21.0%), cigarettes (13.8%), hookah (12.0%), and electronic cigarettes (10.5%). Convenience stores and/or gas stations were the most often selected retail source for all products except hookah. Among youth who attempted purchase, 24.3% were refused sale of cigarettes, 23.9% cigarillos, and 13.8% smokeless tobacco. CONCLUSIONS: Most 15- to 17-year-old tobacco users obtain tobacco products through social sources; however, among those who purchased tobacco, the majority report not being refused sale because of age. At the time of survey, cigarette and cigar sales to under 18 years were prohibited in all 50 states, and electronic cigarettes sales in 47 states and two territories. 2014 Annual Synar Reports signaled increasing trends in retail violations of state and/or district laws prohibiting tobacco product sales to under 18 years. Monitoring illicit youth sales, conducting compliance check inspections, and penalizing violations remain important to reduce youth tobacco access at retail venues. IMPLICATIONS: Access to the spectrum of tobacco products by youth in the United States remains predominantly through social sources. However, of the minority of youth tobacco users in 2014 who purchased tobacco themselves, a few reported being refused sale: Convenience stores and/or gas stations were the most common retail source for tobacco products. The strategies of monitoring illicit youth sales, conducting compliance checks, and penalizing violations remain important to reduce youth tobacco access at retail venues. Limiting sources of youth tobacco access remains an important focus to reduce the burden of tobacco on the public health.

Mental Health Problems and Onset of Tobacco Use Among 12- to 24-Year-Olds in the PATH Study.

OBJECTIVE: To examine whether mental health problems predict incident use of 12 different tobacco products in a nationally representative sample of youth and young adults. METHOD: This study analyzed Wave (W) 1 and W2 data from 10,533 12- to 24-year-old W1 never tobacco users in the Population Assessment of Tobacco and Health (PATH) Study. Self-reported lifetime internalizing and externalizing symptoms were assessed at W1. Past 12-month use of cigarettes, electronic nicotine delivery systems (ENDS), traditional cigars, cigarillos, filtered cigars, pipe, hookah, snus pouches, other smokeless tobacco, bidis and kreteks (youth only), and dissolvable tobacco was assessed at W2. RESULTS: In multivariable regression analyses, high-severity W1 internalizing (adjusted odds ratio [AOR] = 1.5, 95% CI = 1.3-1.8) and externalizing (AOR = 1.3, 95% CI = 1.1-1.5) problems predicted W2 onset of any tobacco use compared to no/low/moderate severity. High-severity W1 internalizing problems predicted W2 use onset across most tobacco products. High-severity W1 externalizing problems predicted onset of any tobacco (AOR = 1.6, 95% CI = 1.3-1.8), cigarettes (AOR = 1.4, 95% CI = 1.0-2.0), ENDS (AOR = 1.8, 95% CI = 1.5-2.1), and cigarillos (AOR = 1.5, 95% CI = 1.0-2.1) among youth only. CONCLUSION: Internalizing and externalizing problems predicted onset of any tobacco use. However, findings differed for internalizing and externalizing problems across tobacco products, and by age, gender, and race/ethnicity. In addition to screening for tobacco product use, health care providers should screen for a range of mental health problems as a predictor of tobacco use. Interventions addressing mental health problems may prevent youth from initiating tobacco use.

Adolescent Use of Different E-cigarette Products.

: media-1vid110.1542/5804914521001PEDS-VA_2018-0260Video Abstract BACKGROUND: Little is known about the characteristics of electronic cigarettes (e-cigarettes) used by adolescents. Understanding the product landscape of adolescent e-cigarette use may inform counseling and policy strategies. METHODS: Results are from 13 651 adolescents in wave 1 and 12 172 adolescents in wave 2 of the Population Assessment of Tobacco and Health Study, a nationally representative longitudinal study. Past 30-day regular e-cigarettes users were asked about the characteristics of the e-cigarette they used most of the time. RESULTS: In waves 1 and 2, 2.1% and 2.8% of adolescents were regular users in the past 30 days, respectively. These adolescents more often used rechargeable rather than disposable devices (wave 1: 76.0%; wave 2: 82.9%) and refillable rather than nonrefillable devices (wave 1: 66.6%; wave 2: 84.4%) and tended not to use cartridge systems (wave 1: 33.7%; wave 2: 30.5%). Most adolescent past 30-day users (wave 1: 87.5%; wave 2: 89.4%) reported using flavored e-cigarettes. An increased frequency of use was associated with the use of rechargeable (wave 1 adjusted odds ratio [aOR]: 2.7; wave 2 aOR: 2.7) and refillable e-cigarettes (wave 1 aOR: 2.0; wave 2 aOR: 2.7; P < .05). Most users in wave 1 did not continue regular use in wave 2 (70.2%). Among those who continued to use and had reported using closed systems (nonrechargeable and/or nonrefillable) in wave 1, most had progressed to open systems (rechargeable and refillable) in wave 2. CONCLUSIONS: Most adolescents use open-system e-cigarettes, and frequent users are even more likely to use open-system e-cigarettes. The majority of regular users use rechargeable devices that are refillable. A change in product preferences across waves suggests a starter product phenomenon, with a graduation to products that have weaker quality controls and may increase health risks.

Longitudinal associations between youth tobacco and substance use in waves 1 and 2 of the Population Assessment of Tobacco and Health (PATH) Study.

BACKGROUND: While evidence suggests bidirectional associations between cigarette use and substance (alcohol or drug) use, how these associations are reflected across the range of currently available tobacco products is unknown. This study examined whether ever tobacco use predicted subsequent substance use, and ever substance use predicted subsequent tobacco use among 11,996 U.S. youth (12-17 years) from Waves 1 (2013-2014) and 2 (2014-2015) of the Population Assessment of Tobacco and Health (PATH) Study. METHODS: Ever use of cigarettes, e-cigarettes, traditional cigars, cigarillos, filtered cigars, pipe, hookah, snus pouches, smokeless tobacco excluding snus pouches, dissolvable tobacco, bidis, kreteks, alcohol, marijuana, prescription drugs, and other drugs (cocaine and other stimulants, heroin, inhalants, solvents, and hallucinogens) was assessed at Wave 1 followed by past 12-month use assessments at Wave 2. The analyses included covariates (demographics, mental health, sensation seeking, prior use) to mitigate confounding. RESULTS: Ever tobacco use predicted subsequent substance use. The magnitude of the associations was lowest for alcohol, higher for marijuana, and highest for other drugs. Ever substance use also predicted subsequent tobacco use. Specifically, ever alcohol, marijuana, and non-prescribed Ritalin/Adderall use predicted tobacco-product use. Ever e-cigarette and cigarette use exclusively and concurrently predicted subsequent any drug (including and excluding alcohol) use. E-cigarette and cigarette use associations in the opposite direction were also significant; the strongest associations were observed for exclusive cigarette use. CONCLUSION: Tobacco and substance use prevention efforts may benefit from comprehensive screening and interventions across tobacco products, alcohol, and drugs, and targeting risk factors shared across substances.