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.

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.

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.

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.

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.

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.

Assessing pediatric tobacco exposure using parent report: comparison with hair nicotine.

INTRODUCTION: The purpose of this study was to examine the relationships between screening questions for secondhand smoke (SHS) exposure and biomarker results using hair nicotine levels. Our ultimate goal was to develop sensitive and valid screening tools in pediatric clinical settings for SHS exposure. METHODS: Investigators developed a core set of questions regarding exposure. Data from two separate ongoing studies of well children and those with bronchopulmonary dysplasia (BPD) were used to assess the concordance between responses and hair nicotine levels. Sensitivity, a positive predictive value, and accuracy were examined. RESULTS: There was no single question with similar sensitivity in both populations. The question with the highest positive predictive value (90.8% well-cohort and 84.6% BPD cohort) for both the groups was whether the child had been exposed to in-home smoking in the last 7 days. The question with the highest accuracy for both groups was the number of smokers at home (0 vs ≥ 1), with an accuracy of 72.4% for well children and 79.0% for the BPD cohort. CONCLUSIONS: There was a wide variability in the performance of specific questions. These data demonstrate that a "one-size-fits-all" approach to screening for secondhand tobacco smoke exposure may not be appropriate for all pediatric populations.

Aspirational Brand Choice and Underage Alcohol Use.

OBJECTIVE: Marketing aims to foster brand allegiance, and alcohol is a heavily marketed commodity. We hypothesize that exposed youth who are able to identify an aspirational alcohol brand will be at higher risk for underage drinking. METHOD: U.S. youth ages 15-20 (N = 2,012; 51% female) were surveyed twice in 2011-2013. Aspirational brand was assessed by asking, "If you could drink any brand you want, what is the name of the brand of alcohol you would choose?" Multivariable logistic regression tested associations between having an aspirational brand at baseline and onset of ever, binge (≥6 drinks/occasion), and hazardous drinking (Alcohol Use Disorders Identification Test-Consumption ≥ 4). RESULTS: Baseline ever, binge, and hazardous drinking prevalence was 55%, 26%, and 19%, respectively; 47% reported having an aspirational brand, of whom 20% were nondrinkers. Top five reported brands were Budweiser, Smirnoff, Corona, Jack Daniels, and Bacardi, all heavily advertised brands. Older age, male gender, sensation seeking, and peer/parent drinking were associated with having an aspirational brand. After we controlled for these confounders, having an aspirational brand was independently associated cross-sectionally with greater risk of ever, binge, and hazardous drinking (adjusted odds ratio = 4.47, 95% CI [3.33, 6.00], 4.84 [3.41, 6.86], and 5.46 [3.63, 8.23], respectively) and longitudinally with initiation of binge and hazardous drinking (1.80 [1.19, 2.73] and 2.02 [1.33, 3.06], respectively). CONCLUSIONS: Having an aspirational alcohol brand is both common and independently associated with subsequent underage alcohol use and misuse. Further studies examining how youth interact with and are affected by branded advertising are critical to guide development of effective education and policy interventions.

Association Between Receptivity to Tobacco Advertising and Progression to Tobacco Use in Youth and Young Adults in the PATH Study.

Importance: Cigarette marketing contributes to initiation of cigarette smoking among young people, which has led to restrictions on use of cigarette advertising. However, little is known about other tobacco advertising and progression to tobacco use in youth and young adults. Objective: To investigate whether receptivity to tobacco advertising among youth and young adults is associated with progression (being a susceptible never user or ever user) to use of the product advertised, as well as conventional cigarette smoking. Design, Setting, and Participants: The Population Assessment of Tobacco and Health (PATH) Study at wave 1 (2013-2014) and 1-year follow-up at wave 2 (2014-2015) was conducted in a US population-based sample of never tobacco users aged 12 to 24 years from wave 1 of the PATH Study (N = 10 989). Household interviews using audio computer-assisted self-interviews were conducted. Exposures: Advertising for conventional cigarettes, electronic cigarettes (e-cigarettes), cigars, and smokeless tobacco products at wave 1. Main Outcomes and Measures: Progression to susceptibility or ever tobacco use at 1-year follow-up in wave 2. Results: Of the 10 989 participants (5410 male [weighted percentage, 48.3%]; 5579 female [weighted percentage, 51.7%]), receptivity to any tobacco advertising at wave 1 was high for those aged 12 to 14 years (44.0%; 95% confidence limit [CL], 42.6%-45.4%) but highest for those aged 18 to 21 years (68.7%; 95% CL, 64.9%-72.2%). e-Cigarette advertising had the highest receptivity among all age groups. For those aged 12 to 17 years, susceptibility to use a product at wave 1 was significantly associated with product use at wave 2 for conventional cigarettes, e-cigarettes, cigars, and smokeless tobacco products. Among committed never users aged 12 to 17 years at wave 1, any receptivity was associated with progression toward use of the product at wave 2 (conventional cigarettes: adjusted odds ratio [AOR], 1.43; 95% CL, 1.23-1.65; e-cigarettes: AOR, 1.62; 95% CL, 1.41-1.85; cigars: AOR, 2.01; 95% CL, 1.62-2.49; and smokeless [males only]: AOR, 1.42; 95% CL, 1.07-1.89) and with use of the product (conventional cigarettes: AOR, 1.54; 95% CL, 1.03-2.32; e-cigarettes: AOR, 1.45; 95% CL, 1.19-1.75; cigars: AOR, 2.07; 95% CL, 1.26-3.40). Compared with those not receptive to any product advertising, receptivity to e-cigarette advertising, but not to cigarette advertising, was independently associated with those aged 12 to 21 years having used a cigarette at wave 2 (AOR, 1.60; 95% CL, 1.08-2.38). Conclusions and Relevance: Receptivity to tobacco advertising was significantly associated with progression toward use in adolescents. Receptivity was highest for e-cigarette advertising and was associated with trying a cigarette.

Co-occurrence of tobacco product use, substance use, and mental health problems among youth: Findings from wave 1 (2013-2014) of the population assessment of tobacco and health (PATH) study.

INTRODUCTION: Cigarette use is associated with substance use and mental health problems among youth, but associations are unknown for non-cigarette tobacco product use, as well as the increasingly common poly-tobacco use. METHODS: The current study examined co-occurrence of substance use and mental health problems across tobacco products among 13,617 youth aged 12-17years from Wave 1 (2013-2014) of the nationally representative Population Assessment of Tobacco and Health (PATH) Study. Participants self-reported ever cigarette, e-cigarette, smokeless tobacco, traditional cigar, cigarillo, filtered cigar, hookah, and other tobacco product use; alcohol, marijuana, and other drugs; and lifetime substance use, internalizing and externalizing problems. RESULTS: In multivariable regression analyses, use of each tobacco product was associated with substance use, particularly cigarillos and marijuana (AOR=18.9, 95% CI: 15.3-23.4). Cigarette (AOR=14.7, 95% CI: 11.8-18.2) and cigarillo (AOR=8.1, 95% CI: 6.3-10.3) use were strongly associated with substance use problems and tobacco users were more likely to report internalizing (AOR=1.6, 95% CI: 1.4-1.8) and externalizing (AOR=1.4, 95% CI: 1.3-1.6) problems. Female tobacco users were more likely to have internalizing problems than male tobacco users. Poly-tobacco users were more likely than exclusive users to use substances (AOR=3.4, 95% CI: 2.7-4.3) and have mental health (AOR=1.2, 95% CI: 1.0-1.5) and substance use (AOR=4.7, 95% CI: 3.4-6.6) problems. CONCLUSIONS: Regardless of the tobacco product used, findings reveal high co-occurrence of substance use and mental health problems among youth tobacco users, especially poly-tobacco users. These findings suggest the need to address comorbidities among high risk youth in prevention and treatment settings.

Co-occurrence of tobacco product use, substance use, and mental health problems among adults: Findings from Wave 1 (2013-2014) of the Population Assessment of Tobacco and Health (PATH) Study.

BACKGROUND: Although non-cigarette tobacco product use is increasing among U.S. adults, their associations with substance use and mental health problems are unclear. This study examined co-occurrence of tobacco use, substance use, and mental health problems, and its moderation by gender, among 32,202U.S. adults from Wave 1 (2013-2014) of the nationally representative longitudinal Population Assessment of Tobacco and Health (PATH) Study. METHODS: Participants self-reported current cigarette, e-cigarette, traditional cigar, cigarillo, filtered cigar, hookah, smokeless tobacco and other tobacco product use; past year alcohol, marijuana, and other drug use; and past year substance use, internalizing and externalizing problems. RESULTS: Compared to non-current tobacco users, current users were more likely to report alcohol or drug use (adjusted odds ratio (AOR)=2.6; 95% confidence interval (CI): 2.3, 2.9), with the strongest associations observed for cigarillo and hookah users. Across all tobacco product groups, users were more likely to report internalizing (AOR=1.9; 95% CI: 1.7, 2.1), externalizing (AOR=1.6; 95% CI: 1.5, 1.8), and substance use (AOR=3.4; 95% CI: 2.9, 4.1) problems than non-users. Gender moderated many of these associations and, of these, all non-cigarette tobacco product associations were stronger among females. CONCLUSIONS: This nationally representative study of U.S. adults is the first to comprehensively document tobacco use, substance use, and mental health comorbidities across the range of currently available tobacco products, while also demonstrating that female tobacco users are at increased risk for substance use and mental health problems. These findings may point to gender differences in vulnerability and suggest that interventions incorporate gender-specific approaches.

Tobacco Use Disorder: A Family Disease.

This clinical case presentation discusses a family in which 3 generations are affected by tobacco. The discussants discuss approaches to be taken to minimize the exposure of an infant to tobacco smoke from older relatives, behavioral and pharmacological approaches to assist smoking cessation, and concerns regarding electronic cigarettes.

Internet Alcohol Marketing and Underage Alcohol Use.

BACKGROUND AND OBJECTIVE: Internet alcohol marketing is not well studied despite its prevalence and potential accessibility and attractiveness to youth. The objective was to examine longitudinal associations between self-reported engagement with Internet alcohol marketing and alcohol use transitions in youth. METHODS: A US sample of 2012 youths aged 15 to 20 was surveyed in 2011. An Internet alcohol marketing receptivity score was developed, based on number of positive responses to seeing alcohol advertising on the Internet, visiting alcohol brand Web sites, being an online alcohol brand fan, and cued recall of alcohol brand home page images. We assessed the association between baseline marketing receptivity and both ever drinking and binge drinking (≥6 drinks per occasion) at 1-year follow-up with multiple logistic regression, controlling for baseline drinking status, Internet use, sociodemographics, personality characteristics, and peer or parent drinking. RESULTS: At baseline, ever-drinking and binge-drinking prevalence was 55% and 27%, respectively. Many (59%) reported seeing Internet alcohol advertising, but few reported going to an alcohol Web site (6%) or being an online fan (3%). Higher Internet use, sensation seeking, having family or peers who drank, and past alcohol use were associated with Internet alcohol marketing receptivity, and a score of 1 or 2 was independently associated with greater adjusted odds of initiating binge drinking (odds ratio 1.77; 95% confidence interval, 1.13-2.78 and odds ratio 2.15; 95% confidence interval, 1.06-4.37 respectively) but not with initiation of ever drinking. CONCLUSIONS: Although high levels of engagement with Internet alcohol marketing were uncommon, most underage youths reported seeing it, and we found a prospective association between receptivity to this type of alcohol marketing and future problem drinking, making additional research and ongoing surveillance important.

Cued recall of alcohol advertising on television and underage drinking behavior.

IMPORTANCE: Alcohol is the most common drug among youth and a major contributor to morbidity and mortality worldwide. Billions of dollars are spent annually marketing alcohol. OBJECTIVE: To examine the reach of television alcohol advertising and its effect on drinking among underage youth. DESIGN, SETTING, AND PARTICIPANTS: Longitudinal telephone- and web-based surveys conducted in 2011 and 2013 involving 2541 US adolescents 15 to 23 years of age at baseline, with 1596 of these adolescents completing the follow-up survey. Cued recall of television advertising images for top beer and distilled spirits brands that aired nationally in 2010-2011 (n = 351). Images were digitally edited to remove branding, and the respondents were queried about 20 randomly selected images. An alcohol advertising receptivity score was derived (1 point each for having seen the ad and for liking it, and 2 points for correct brand identification). Fast-food ads that aired nationally in 2010-2011 (n = 535) were similarly queried to evaluate message specificity. MAIN OUTCOMES AND MEASURES: Among the underage youth at baseline, we determined (1) the onset of drinking among those who never drank, (2) the onset of binge drinking among those who were never binge drinkers, and (3) the onset of hazardous drinking among those with an Alcohol Use Disorders Identification Test consumption subscore of less than 4. Multivariate regressions were used to predict each outcome, controlling for covariates (demographics, drinking among friends and parents, and sensation seeking), weighting to the US population, and using multiple imputation to address loss to follow-up. RESULTS: Underage participants were only slightly less likely than participants of legal drinking age to have seen alcohol ads (the mean percentage of ads seen were 23.4%, 22.7%, and 25.6%, respectively, for youth 15-17, 18-20, and 21-23 years of age; P < .005). The transition to binge and hazardous drinking occurred for 29% and 18% of youth 15 to 17 years of age and for 29% and 19% of youth 18 to 20 years years of age, respectively. Among underage participants, the alcohol advertising receptivity score independently predicted the onset of drinking (adjusted odds ratio [AOR], 1.69 [95% CI, 1.17-2.44]), the onset of binge drinking (AOR, 1.38 [95% CI, 1.08-1.77]), and the onset of hazardous drinking (AOR, 1.49 [95% CI, 1.19-1.86]). Fast-food advertising receptivity was not associated with any drinking outcome. CONCLUSIONS AND RELEVANCE: Receptivity to television alcohol advertising predicted the transition to multiple drinking outcomes. The findings are consistent with the idea that marketing self-regulation has failed to keep television alcohol advertising from reaching large numbers of underage persons and affecting their drinking patterns.

Associations between initial water pipe tobacco smoking and snus use and subsequent cigarette smoking: results from a longitudinal study of US adolescents and young adults.

IMPORTANCE: Many adolescents and young adults use alternative tobacco products, such as water pipes and snus, instead of cigarettes. OBJECTIVE: To assess whether prior water pipe tobacco smoking and snus use among never smokers are risk factors for subsequent cigarette smoking. DESIGN, SETTING, AND PARTICIPANTS: We conducted a 2-wave national longitudinal study in the United States among 2541 individuals aged 15 to 23 years old. At baseline (October 25, 2010, through June 11, 2011), we ascertained whether respondents had smoked cigarettes, smoked water pipe tobacco, or used snus. At the 2-year follow-up (October 27, 2012, through March 31, 2013), we determined whether baseline non-cigarette smokers had subsequently tried cigarette smoking, were current (past 30 days) cigarette smokers, or were high-intensity cigarette smokers. We fit multivariable logistic regression models among baseline non-cigarette smokers to assess whether baseline water pipe tobacco smoking and baseline snus use were associated with subsequent cigarette smoking initiation and current cigarette smoking, accounting for established sociodemographic and behavioral risk factors. We fit similarly specified multivariable ordinal logistic regression models to assess whether baseline water pipe tobacco smoking and baseline snus use were associated with high-intensity cigarette smoking at follow-up. EXPOSURES: Water pipe tobacco smoking and the use of snus at baseline. MAIN OUTCOMES AND MEASURES: Among baseline non-cigarette smokers, cigarette smoking initiation, current (past 30 days) cigarette smoking at follow-up, and the intensity of cigarette smoking at follow-up. RESULTS: Among 1596 respondents, 1048 had never smoked cigarettes at baseline, of whom 71 had smoked water pipe tobacco and 20 had used snus at baseline. At follow-up, accounting for behavioral and sociodemographic risk factors, baseline water pipe tobacco smoking and snus use were independently associated with cigarette smoking initiation (adjusted odds ratios: 2.56; 95% CI, 1.46-4.47 and 3.73; 95% CI, 1.43-9.76, respectively), current cigarette smoking (adjusted odds ratios: 2.48; 95% CI, 1.01-6.06 and 6.19; 95% CI, 1.86-20.56, respectively), and higher intensity of cigarette smoking (adjusted proportional odds ratios: 2.55; 95% CI, 1.48-4.38 and 4.45; 95% CI, 1.75-11.27, respectively). CONCLUSIONS AND RELEVANCE: Water pipe tobacco smoking and the use of snus independently predicted the onset of cigarette smoking and current cigarette smoking at follow-up. Comprehensive Food and Drug Administration regulation of these tobacco products may limit their appeal to youth and curb the onset of cigarette smoking.

Energy drink consumption and the risk of alcohol use disorder among a national sample of adolescents and young adults.

OBJECTIVE: To assess the association between energy drink use and hazardous alcohol use among a national sample of adolescents and young adults. STUDY DESIGN: Cross-sectional analysis of 3342 youth aged 15-23 years recruited for a national survey about media and alcohol use. Energy drink use was defined as recent use or ever mixed-use with alcohol. Outcomes were ever alcohol use and 3 hazardous alcohol use outcomes measured with the Alcohol Use Disorders Identification Test (AUDIT): ever consuming 6 or more drinks at once (6+ binge drinking) and clinical criteria for hazardous alcohol use as defined for adults (8+AUDIT) and for adolescents (4+AUDIT). RESULTS: Among 15-17 year olds (n = 1508), 13.3% recently consumed an energy drink, 9.7% ever consumed an energy drink mixed with alcohol, and 47.1% ever drank alcohol. Recent energy drink use predicted ever alcohol use among 15-17-year-olds only (OR 2.58; 95% CI 1.77-3.77). Of these 15-17-year-olds, 17% met the 6+ binge drinking criteria, 7.2% met the 8+AUDIT criteria, and 16.0% met the 4+AUDIT criteria. Rates of energy drink use and all alcohol use outcomes increased with age. Ever mixed-use with alcohol predicted 6+ binge drinking (OR 4.69; 95% CI 3.70-5.94), 8+AUDIT (OR 3.25; 95% CI 2.51-4.21), and 4+AUDIT (OR 4.15; 95% CI 3.27-5.25) criteria in adjusted models among all participants, with no evidence of modification by age. CONCLUSIONS: Positive associations between energy drink use and hazardous alcohol use behaviors are not limited to youth in college settings.

Receptivity to television fast-food restaurant marketing and obesity among U.S. youth.

BACKGROUND: Advertisement of fast food on TV may contribute to youth obesity. PURPOSE: The goal of the study was to use cued recall to determine whether TV fast-food advertising is associated with youth obesity. METHODS: A national sample of 2541 U.S. youth, aged 15-23 years, were surveyed in 2010-2011; data were analyzed in 2012. Respondents viewed a random subset of 20 advertisement frames (with brand names removed) selected from national TV fast-food restaurant advertisements (n=535) aired in the previous year. Respondents were asked if they had seen the advertisement, if they liked it, and if they could name the brand. A TV fast-food advertising receptivity score (a measure of exposure and response) was assigned; a 1-point increase was equivalent to affirmative responses to all three queries for two separate advertisements. Adjusted odds of obesity (based on self-reported height and weight), given higher TV fast-food advertising receptivity, are reported. RESULTS: The prevalence of overweight and obesity, weighted to the U.S. population, was 20% and 16%, respectively. Obesity, sugar-sweetened beverage consumption, fast-food restaurant visit frequency, weekday TV time, and TV alcohol advertising receptivity were associated with higher TV fast-food advertising receptivity (median=3.3 [interquartile range: 2.2-4.2]). Only household income, TV time, and TV fast-food advertising receptivity retained multivariate associations with obesity. For every 1-point increase in TV fast-food advertising receptivity score, the odds of obesity increased by 19% (OR=1.19, 95% CI=1.01, 1.40). There was no association between receptivity to televised alcohol advertisements or fast-food restaurant visit frequency and obesity. CONCLUSIONS: Using a cued-recall assessment, TV fast-food advertising receptivity was found to be associated with youth obesity.