Time to first report of signs of nicotine dependence among youth who use e-cigarettes and cigarettes in the United States: A nationally representative cohort study, findings from the Population Assessment of Tobacco and Health, 2013-2019.

OBJECTIVE: To determine the time to first report of signs of nicotine dependence among youth exclusive e-cigarette users and compare this time to that for exclusive cigarette users. METHODS: Secondary analysis of data (Waves 1-5; 2013-2019) from the Population Assessment of Tobacco and Health was conducted. Youth never tobacco users in the United States who reported exclusive past-30-day (P30D) e-cigarette or cigarette use (n = 2940, N = 5,391,642) in at least one wave were included in the current analysis. Survival analysis was used to estimate the time to the first report of three nicotine dependence indicators (i.e., "use within 30 minutes of waking"; "cravings" and "really needing to use") following the first report of P30D use. Multivariable Cox proportional hazard models were used to estimate adjusted hazard ratios (aHR). RESULTS: There were no significant differences in the time to first report of "use within 30 minutes of waking" (aHR = 1.1, 95% CI = 0.87-1.40) and "cravings" (aHR = 1.09, 95% CI = 0.81-1.47) between exclusive P30D e-cigarette use and exclusive P30D cigarette use. However, compared to exclusive P30D e-cigarette use, the hazard of first reporting "really needing to use" tobacco was 39% (aHR 1.39; 95% CI: 1.05-1.84) times higher for those who reported exclusive P30D cigarette use after controlling for covariates. CONCLUSION: Compared to exclusive P30D cigarette use, no differences in the time to first report of signs of nicotine dependence ("use within 30 minutes" and "cravings") were observed among exclusive P30D e-cigarette users. Policymakers and regulatory agencies should consider this evidence when assessing the abuse liability of e-cigarette products.

Racial and Ethnic Disparities in Adolescent Combustible Tobacco Smoking From 2014 to 2020: Declines Are Lagging Among Non-Hispanic Black Youth.

INTRODUCTION: We quantified the linear trend in combustible tobacco smoking among adolescents in the United States from 2014 to 2020, and then compared these trends across racial and ethnic categories. We also tested the effect of e-cigarette use on these trends for all-youth and across racial and ethnic categories. AIMS AND METHODS: We pooled and analyzed seven years of National Youth Tobacco Survey data for n = 124 151 middle and high school students from 2014 to 2020. Weighted logistic regression analyses calculated the annual change in combustible tobacco smoking (ie cigarettes, cigars, and hookah) from 2014 to 2020. Stratified analyses examined linear trends for non-Hispanic White (NHW), NH-Black (NHB), Hispanic/Latino, and NH-Other (NHO) youth. All-models controlled for sex, grade level, and past 30-day e-cigarette use. RESULTS: Combustible tobacco smoking from 2014 to 2020 dropped by more than 50% for NHW youth, more than 40% for Latino and NHO youth, compared to just 16% among NHB youth. From 2014 to 2020, the odds of combustible tobacco smoking declined by 21.5% per year for NHWs, which was significantly greater than Hispanic/Latinos (17% per year; p = .025), NHOs (15.4% per year; p = .01), and NHBs (5.1% per year; p < .001), adjusting for sex, grade, and e-cigarette use. Trends and disparities in trends by race and ethnicity were observed independent of e-cigarette use. CONCLUSIONS: Combustible tobacco smoking declined for all-youth but at significantly different rates across races and ethnicities. Notably, declines in combustible tobacco smoking are lagging among NHB youth. Interventions are critically needed to address this disparity. IMPLICATIONS: A direct, evidence-based intervention to reduce combustible tobacco smoking among NHB youth is critically needed. Such tobacco control initiatives should follow the Best Practices for Comprehensive Tobacco Control Framework, incorporating sustainable funding for school-based intervention, public health education, and adult cessation.

Perceptions of the Addictiveness of Low-Nicotine Cigarettes Versus Typical Cigarettes and Exposure to Tobacco Industry-Sponsored Corrective Campaign.

BACKGROUND: In 2017, the U.S. Food and Drug Administration (FDA) announced a regulatory plan to reduce the nicotine content of cigarettes. This study examines the association of exposure to industry-sponsored corrective statements on perceptions of the addictiveness of low-nicotine cigarettes relative to typical cigarettes within the general US population. METHODS: The study comprised 4975 US adult respondents of the 2019 Health Information National Trends Survey (HINTS 5, Cycle 3). Multinomial logistic regression models were used to examine associations between exposure to tobacco industry corrective messages and perceptions of the addictiveness of low-nicotine cigarettes relative to typical cigarettes. RESULTS: In the overall population, 4.1% reported that low-nicotine cigarettes were much more addictive than typical cigarettes, 67.5% said they were equally addictive, while 28.4% reported they were slightly/much less addictive. Adults exposed to industry-sponsored corrective messages had higher odds of perceiving low-nicotine cigarettes as equally addictive as typical cigarettes (aOR 1.57; 95% CI, 1.13-2.19) than those who saw no corrective messages. Those exposed to the corrective messages specifically about the addictiveness of smoking and nicotine had higher odds of perceiving low-nicotine cigarettes as equally addictive as typical cigarettes (aOR, 1.73; 95% CI, 1.07-2.81) compared to those who saw no corrective message. CONCLUSIONS: Our findings suggest that exposure to court-ordered tobacco industry corrective statements may have reinforced perceptions on the addictive potential of nicotine. However, study findings indicate a need for campaigns specifically tailored to address misperceptions observed in this study.

67.5% of US adults perceived low-nicotine cigarettes and typical cigarettes as being equally addictiveExposure to court-ordered corrective statements increased the odds of equal addictiveness perceptionExposure to corrective statements specifically tailored to addiction increased the odds of equal addictiveness perception.

Digital screen time and suicidality during high school: How important is cyberbullying? A mediation analysis using the youth risk behavioral surveillance survey, 2011-2019.

Elevated digital screen time (i.e., 2+ hours per day) is associated with suicidal ideations, planning, and attempts during adolescence. Recent studies suggest quality, rather than duration, of digital screen time is most impactful on adolescent mental health. We investigate the role of cyberbullying victimization on the relationship between elevated digital screen time and risk factors for completed suicide. We pooled five years of biennial Youth Risk Behavioral Surveillance (YRBS) survey data (2011-2019). Participants were n = 73,011 high school students in the United States (US). Elevated digital screen time reflected spending 3 h (or more) per day on leisure, digital media. Outcome variables were: (1) feeling sad/hopeless; (2) suicidal ideation; (3) suicidal planning; and (4) suicide attempt. Structural equation models (SEMs) tested the mediating effects of self-reported online bullying victimization (i.e., cyberbullying) on the effect of elevated digital screen time on suicidality. We controlled for age, sex, race/ethnicity, and survey year. Subsample analyses stratified by sex were also conducted. Overall, 40.5% of high school students reported elevated digital screen time and 15.4% reported cyberbullying. Cyberbullying mediated a substantial proportion of the relationship between digital screen time and feeling sad/hopeless (16%), suicidal ideation (18%), planned suicide attempt (18%), and past suicide attempt (26%), among high school students, controlling for covariates. Similar mediating effects were observed in models stratified by sex. Findings reinforce prior research demonstrating that the quality of leisure, digital media strongly influences the relationship between digital screen time and mental health during adolescence. Findings need replication via longitudinal designs.

Re: Impact of the "e-cigarette era" on cigarette smoking among youth: A population-level study.

Our original paper is: Harrell MB, Mantey DS, Baojiang C, Kelder SH, Barrington-Trimis J. Impact of the e-cigarette era on cigarette smoking among youth in the United States A population-level study. Preventive Medicine 2022; 164:107265). This is a response to correspondence received from Foxon and Juul Labs Inc. (JUUL) regarding our original paper.

Identifying disparities in suicidal thoughts and behaviors among US adolescents during the COVID-19 pandemic.

BACKGROUND: Suicidal thoughts and behaviors (STBs) became more common among racial and ethnic minorities and sexual and gender minorities (SGM) during the COVID-19 pandemic relative to White and non-SGM adolescents. This study examines associations between pandemic-related stressors and STBs among a nationally representative sample of adolescents to identify vulnerable subpopulations. METHODS: We analyzed data from 6769 high school students using the 2021 Adolescent Behaviors and Experiences Survey. Pandemic-related stressors were assessed via seven items related to negative experiences (e.g., parent job loss; food insecurity) during the COVID-19 pandemic. Logistic regression analyses estimated the association between pandemic-related stressors and four outcomes: (1) sadness/hopelessness; (2) suicidal ideation; (3) suicide planning; and (4) recent suicide attempt (i.e., past 12 months). Interactions were modeled by sex, race/ethnicity, and sexual identity. RESULTS: A greater number of pandemic-related stressors was associated with higher odds for sadness and hopelessness (aOR: 1.55; 95% CI:1.44-1.67), suicidal ideation (aOR: 1.48; 95% CI:1.39-1.57), suicide planning (aOR:1.47; 95% CI: 1.36-1.59), and recent suicide attempt (aOR: 1.64; 95% CI:1.42-1.88). Pandemic-related stressors were also more strongly associated with some types of STBs in males (relative to females) and SGM females (relative to heterosexual females). CONCLUSION: Study findings indicate that pandemic-related stressors are associated with STBs within the US adolescent population, particularly among male and SGM female adolescents. Researchers are encouraged to use this knowledge to ensure nationwide suicide prevention efforts adequately address inequities in suicide risk.

Remote Versus In-Person Learning During COVID-19: Comparison of E-Cigarette Susceptibility and Ever Use Among a Diverse Cohort of 6th-Grade Students in Texas.

BACKGROUND: In response to SARS-CoV2 (COVID-19), school districts incorporated remote learning as a mitigation strategy. This study examines the association between classroom setting (ie, on-campus versus remote) and e-cigarette susceptibility or ever use among a sample of Texas public middle school students. METHODS: Data from n = 985 students enrolled in the CATCH My Breath E-Cigarette Prevention Program trial were collected in Spring 2021. Participants were 6th-grade students in urban Texas. E-cigarette use was examined using the "at-risk" definition described by FDA, indicating either: (1) susceptible never user; or (2) experimental ever use. A multilevel, logistic regression model examined the association between classroom setting and e-cigarette susceptibility/ever use. Covariates included sex, race/ethnicity, academic achievement, household e-cigarette use, perceived school connectedness, and school-level economic status. Models account for nesting within school district. Analyses stratified by race/ethnicity were also conducted. RESULTS: Overall, 36.3% of the sample were susceptible never users or ever e-cigarette users. The sample was comprised of 55.0% on-campus and 45.0% remote learners. On-campus learners had greater odds of reporting e-cigarette susceptibility or ever use (aOR: 1.45; p = .014). These findings were observed among Latino (aOR: 1.77; p = .026) and White (aOR: 2.10; p = .099) but not African American/Black (aOR: 0.86; p = .728) youth. CONCLUSIONS: On-campus learning during the Spring 2021 semester was associated with greater risk for e-cigarette susceptibility or ever use among a diverse sample of 6th-grade students. E-cigarette susceptibility and ever use is a risk factor for progression to long-term e-cigarette use in later adolescence. IMPLICATIONS: As school districts prepare to return to on-campus learning in 2022, a focused approach to e-cigarette prevention may be needed to prevent widespread e-cigarette initiation and continued use. Further, study findings demonstrate a need for further research on the school environment as a determinant of e-cigarette use.

Perceived stress and E-cigarette use during emerging adulthood: A longitudinal examination of initiation, progression, and continuation.

E-cigarettes are the most commonly used tobacco product among youth and young adults in the US. Limited research has examined how stress impacts e-cigarette use among young people. We examine the longitudinal associations between perceived stress scale (PSS) score and e-cigarette use behaviors among a diverse cohort of emerging adults. We analyzed two waves of data collected in Fall 2019 (baseline) and Spring 2020 (6-month follow-up) of the Texas Adolescent Tobacco and Marketing Surveillance (TATAMS) system. Participants were classified into three mutually exclusive subsamples at baseline: (1) n = 1177 never e-cigarette users; (2) n = 806 ever but not current (past 30-day) e-cigarette users (i.e., ever users); and (3) n = 257 current (past 30-day) e-cigarette users. Three multivariate logistic regression models examined the relationship between PSS at baseline and: (1) initiation among never users; (2) progression to current use among ever users; and (3) continuation among current users, at 6-month follow-up. PSS scores were standardized using z-scores. Models controlled for race/ethnicity, sex, age, ever marijuana use, and ever use of other tobacco products. Mean age ranged from 18.6 to 19.4 among cohorts. Risk for e-cigarette progression among ever users (aOR: 1.30; 95%CI: 1.01-1.69) and e-cigarette continuation among current users (aOR: 1.33 (95%CI: 1.01-1.75) increased with each unit increase in PSS score at baseline. PSS at baseline was not associated with e-cigarette initiation among never users. PSS predicted greater risk of e-cigarette progression and continuation but not initiation among a diverse cohort of emerging adults. E-cigarette prevention and cessation strategies should consider perceived stress an important risk factor for e-cigarette use during emerging adulthood.

Impact of the e-cigarette era on cigarette smoking among youth in the United States: A population-level study.

To examine and compare trends in past 30-day cigarette smoking among adolescents in the US from 2002 to 2019, before and after the onset of the "e-cigarette era" in 2014. Using National Youth Tobacco Survey (NYTS) data from 2002 to 2019, we modeled the prevalence of past 30-day cigarette smoking over time. A total of n = 274,551 (weighted N = 340,403,754) middle and high school students were included in this study. Interrupted time series analyses were used to examine changes in cigarette smoking over time and compare trends in cigarette smoking pre- and post-2014. Models were applied to the full sample and stratified by middle (6th-8th grade) and high school (9th-12th grade). The observed number of current adolescent cigarette smokers post-2014 was compared to the predicted number, given trends in cigarette smoking prevalence observed pre-2014. Among all students, past 30-day cigarette smoking declined by approximately 0.75% per year from 2002 to 2013 (p < 0.001). Following a significant drop in prevalence from 2013 to 2014 (1.64%; p < 0.001), the decline in past 30-day cigarette smoking slowed significantly to approximately 0.37% per year (p < 0.001), from 2015 to 2019. We estimate that the onset of the "e-cigarette era" in 2014 corresponded to over 1.66 million (95% CI: 1.57 m - 1.75 m) more past 30-day cigarette smokers from 2015 to 2019, cumulatively. The rate of decline in past 30-day cigarette smoking prevalence among adolescents observed since 2002 slowed with the onset of the "e-cigarette era" in 2014, providing evidence at a population-level for the "gateway effect."

Home Smoke-Free Policies as Children Age: Urban, Rural, and Suburban Differences.

INTRODUCTION: Parents/guardians can effectively reduce tobacco smoking and secondhand smoke exposure among youth by adopting and enforcing rules against indoor tobacco smoking (ie, home smoke-free policies). We investigate home smoke-free policies from childhood to adolescence in the United States and across rural, suburban, and urban households. AIMS AND METHODS: We analyzed 2019-2020 National Survey of Children's Health data from n = 5,955 parents of youth aged 0-17, living at home with a tobacco smoker in the United States (U.S). Geographical categories were: rural, suburban, and urban. Home smoke-free policy reflected prohibiting tobacco smoking inside the home. Weighted logistic regressions examined the (1) association between youth age and home smoke-free policies, (2) interaction between geographic category and youth age, and (3) differing associations between youth age and home smoke-free policies by geography. Models controlled for youth race, ethnicity, sex, parental education, household annual income, and home structure. RESULTS: Approximately 13.2% of U.S. households with a smoker did not have a home smoke-free policy. Stratified analyses found one-year increase in youth age was associated with lower odds of having a home smoke-free policy in rural (aOR:0.91; 95%CI: 0.87-0.95) and urban (aOR: 0.96; 95%CI: 0.92-1.00; p = .039), but not suburban (aOR:1.00; 95%CI: 0.95-1.05) households, controlling for covariates. CONCLUSION: Odds of having a smoke-free home in the U.S. declined significantly in rural (9% per year) and urban (4%) but not suburban (0%) households. We quantify declines in home smoke-free policies as children age and identify geographic disparities for this environmental determinant of health. IMPLICATIONS: Health promotion efforts targeting secondhand smoke prevention is needed, particularly for parents of older youth. Furthermore, there is a clear geographic bias in secondhand smoke exposure among all youth particularly older youth. Tailored interventions are needed to address geographic disparities in secondhand smoke exposure among rural and urban youth.

Language Gap in Reach of "The Real Cost": Examination of a Federal Mass Media Campaign From 2017 to 2019.

INTRODUCTION: Approximately 25% of youth in the United States speak a language other than English at home. These youth may have less exposure to English-speaking media, including public smoking prevention initiatives such as the FDA's "The Real Cost" campaign. Research is needed to explore potential gaps in the reach of "The Real Cost" campaign among bilingual youth. AIMS AND METHODS: Data were pooled from the 2017-2019 National Youth Tobacco Surveys. Participants were n = 12 803 middle and high school students who were either: (1) susceptible never smokers; or (2) ever smokers that had smoked less than 100 cigarettes; these criteria reflect the FDA's definition of "target population" for "The Real Cost" campaign. Multiple, logistic regression analyses examined the relationship between speaking a language other than English at home (ie, bilingual) and self-reported exposure to "The Real Cost" campaign among both samples. Analyses controlled for sex, race/ethnicity, grade level, tobacco marketing exposure, and current tobacco use. RESULTS: The majority (61.7%) of youth who met "target population" criteria self-reported exposure to "The Real Cost" from 2017 to 2019. Regression analyses found that youth who reported speaking a language other than English at home were significantly less likely to self-report exposure to "The Real Cost" campaign (adjusted odds ratio: 0.85; p < .001), adjusting for covariates. CONCLUSIONS: Bilingual youth were significantly less likely to report exposure to "The Real Cost" campaign. Findings suggest the need to develop methods of increasing reach among bilingual youth, given the high smoking prevalence among these youth. IMPLICATIONS: This study highlights a social and cultural gap in the reach of the FDA's "The Real Cost" campaign. Agencies such as FDA should consider enhancing existing mass media campaigns to reach diverse communities, including the nearly 25% of youth who speak a language other than English.

Secondhand Smoke Exposure at Home and/or in a Vehicle: Differences Between Urban and Non-Urban Adolescents in the United States, From 2015 to 2018.

INTRODUCTION: Secondhand smoke exposure during adolescence is linked to increased risk for cigarette smoking susceptibility and initiation. Non-urban youth may encounter a disproportionate number social and environmental risk factors for secondhand smoke exposure. Research is needed to explore geographic disparities in secondhand smoke exposure. AIMS AND METHODS: Four years of National Youth Tobacco Survey (2015-2018) data were pooled. Participants were 69 249 middle and high school students. Multivariable logistic regression examined the relationship between geographic region and secondhand smoke exposure (1) at home and (2) in a vehicle. A multivariable, multinomial logistic regression examined the relationship between geographic region and number of sources of secondhand smoke exposure (ie, 0, 1 source, 2 sources). Covariates included sex, race/ethnicity, grade level, past 30-day tobacco use, and living with a tobacco user. RESULTS: From 2015 to 2018, ~28.4% of middle and high school students reported secondhand smoke exposure either at home, in a vehicle, or both. Non-urban youth had greater odds of reporting secondhand smoke exposure at home (Adj OR: 1.26; 95% CI: 1.15 to 1.38) and in a vehicle (Adj OR: 1.50; 95% CI: 1.35 to 1.65), compared with urban youth. Similarly, non-urban youth had greater odds of reporting secondhand smoke exposure via one source (RRR: 1.21; 95% CI: 1.11 to 1.31) and two sources (RRR: 1.61; 95% CI: 1.42 to 1.82), relative to no exposure, than urban youth. CONCLUSION: Secondhand smoke exposure at home and/or in a vehicle varies across geographic region. Targeted interventions should be developed and implemented to reduce secondhand smoke exposure among at-risk youth. IMPLICATIONS: Findings showcase the need to address secondhand smoke exposure in non-urban areas and how it impacts adolescents. Public health interventions and regulatory policies aimed at improving social norms and expanding health infrastructure in rural communities should be designed and implemented in order to prevent and reduce secondhand smoke exposure among non-urban youth.

A Longitudinal Examination of Behavioral Transitions among Young Adult Menthol and Non-Menthol Cigarette Smokers Using a Three-State Markov Model.

INTRODUCTION: Young adult cigarette smoking behaviors are complex and dynamic. Emerging research suggests a growing rate of switching from non-menthol to menthol cigarettes. Transitions across cigarette smoking states are not well understood. This research longitudinally explores transitions in cigarette smoking behaviors among 18-29 year olds. METHODS: We applied a Markov model to data collected biannually for 1542 initially 18-29 year old young adults (mean age: 20.9 years; SD = 2.6) in Texas, who provided 7021 total observations from Fall 2014 to Spring 2017. All participants were past 30 day menthol or non-menthol cigarette smokers at first observation. We examined transitions across three states of cigarette smoking (menthol, non-menthol, and nonsmoking) and compared predictors of each transition, during young adulthood. RESULTS: Descriptively, 22.2% of menthol and 14.3% of non-menthol smokers switched products while 25.6% of menthol and 26.0% of non-menthol smokers quit smoking. Among quitters, 20.0% relapsed via menthol and 28.2% relapsed via non-menthol cigarettes. Results from Markov model indicated that Hispanic/Latinos (Hazard Ratio [HR]: 3.69) and Asians (HR: 2.85) were significantly more likely to switch from non-menthol to menthol cigarettes, relative to non-Hispanic whites. Among recent quitters, the use of non-cigarette products was associated with increased risk of relapse via menthol (HR: 1.54) and non-menthol (HR: 1.85) cigarettes. CONCLUSION: A substantial proportion of young adult cigarette smokers transitioned across cigarette smoking states over the course of 2.5 years. Other tobacco use and nicotine dependence were impediments to becoming and remaining a non-smoker. Hispanic/Latinos and Asians, relative to non-Hispanic whites, had greater odds of transitioning from non-menthol smoking to both non-smoking and to menthol smoking. Findings suggest racial/ethnic differences in cigarette smoking transitions during young adulthood. IMPLICATIONS: This paper examined multidirectional transitions across cigarette smoking, including switching between menthol and non-menthol cigarettes, among young adults. Results indicate that Hispanic/Latino and Asian young adults are at increased risk of transition to menthol cigarette smoking compared with non-Hispanic white young adults. Findings highlight need for further study of Hispanic/Latino and Asian young adult smoking behaviors.

Sexual Minority Status and Marijuana Initiation during Adulthood: A Longitudinal Study Using Nationally Representative Data.

INTRODUCTION: Sexual minorities (i.e. individuals who identify as lesbian, gay, and bisexual) are at increased risk for marijuana use. However, little is known about initiation during adulthood. This study examines: (1) sexual minority status as a risk factor for marijuana initiation, and (2) the modifying effect of sex (labeled at birth) on this relationship. Methods: We analyzed Wave 1 (2013-2014) and Wave 2 (2014-2015) of the Population Assessment of Tobacco and Health, a nationally representative survey. Participants were n = 10,756 adult never marijuana users. A multivariable logistic regression examined the relationship between sexual minority status and initiation of marijuana use at Wave 2. Multivariable logistic regressions, stratified by sex, were used to assess for effect modification. Covariates were sex, age, race/ethnicity, income, currently attending college, and mental health well-being. Results: Approximately 1.1% of adults initiated marijuana use from Wave 1 to Wave 2. Sexual minority status was associated with 1.57 (95% CI: 1.00-2.46) greater odds of marijuana initiation. In stratified analyses, sexual minority status was associated with greater odds of marijuana initiation for females (Adj OR: 1.97; 95% CI: 1.19-3.26) but not males (Adj OR: 0.84: 95% CI: 0.33-2.16). Conclusions: Sexual minority status is a risk factor for marijuana initiation during adulthood. This relationship was only consistent for females, suggesting that sex may be an effect modifier. However, research designed and powered to directly detect this effect is needed. Findings highlight a need for public health interventions that reduce disparities in marijuana use among sexual minorities.

E-Cigarette Use Is Associated With Intentions to Lose Weight Among High School Students.

INTRODUCTION: Recent literature has demonstrated individuals may be using electronic cigarettes (e-cigarettes) as a method of weight loss and/or management. Furthermore, e-cigarette companies are developing and patenting technologies related to e-cigarettes and weight loss. This study aims to determine the association between intentions to lose weight and e-cigarette use behaviors among a nationally representative sample of high school students. METHODS: Data were obtained from the 2015 Youth Risk Behavior Surveillance survey. Participants were 12 847 students in grades 9-12 in the United States. Multivariate multinomial logistic regression models assessed the association between past 30-day e-cigarette use and weight loss intentions among 9-12 grade students. Subsample analyses were conducted, stratified by sex. Covariates included perceived weight, sex, race/ethnicity, grade, and past 30-day tobacco use. RESULTS: Overall, 23.7% of the sample used e-cigarettes in the past 30 days. E-cigarette use was associated with 1.38 (95% CI = 1.07% to 1.78%) greater risk of intentions to lose weight among the full sample, controlling for covariates. Among girls, e-cigarette use was associated with 1.44 (95% CI = 1.05% to 1.97%) greater risk of intentions to lose weight, controlling for covariates. Among boys, e-cigarette use was associated with 1.40 (95% CI = 1.04% to 1.88%) greater odds of intentions to gain weight, controlling for covariates. CONCLUSION: Findings show a significant association between e-cigarette use and intentions to lose weight among high school students, among the full sample. Interestingly, e-cigarette use was statistically associated with intentions to gain weight among boys. Longitudinal study is needed to further examine this relationship. IMPLICATIONS AND CONTRIBUTION: This is the one of the first studies reporting on e-cigarette use and weight loss intentions among adolescents, both highly prevalent among this population. These findings are an important development in the study of e-cigarette use given the established link between conventional cigarette smoking and weight loss and/or management.

Exposure to Point-of-Sale Marketing of Cigarettes and E-Cigarettes as Predictors of Smoking Cessation Behaviors.

Introduction: Cue-reactivity theory suggests that smoking-related visual cues such as point-of-sale (POS) marketing (eg, advertising, product displays) may undermine cessation attempts by causing an increase in nicotine cravings among users. This study examined the relationship between recall of exposure to POS marketing and subsequent cessation behaviors among young adult cigarette smokers. Methods: Participants included 813, 18-29 year old (m = 21.1, SD = 2.70), current cigarette smokers attending 24 Texas colleges. Multivariable logistic regression models examined the impact of baseline self-reported exposure to cigarette and e-cigarette advertising and product displays, on using e-cigarettes for cessation and successful cigarette cessation at 6-month follow-up. Two-way interactions between product-specific advertising and between product-specific displays were examined to determine if the marketing of one product strengthened the cue reactivity of the other. Baseline covariates included sociodemographic factors, past quit attempts, intentions to quit smoking, and nicotine dependence. Results: Exposure to e-cigarette displays was associated with lower odds of cigarette smoking cessation, controlling for covariates and conventional cigarette display exposure. E-cigarette advertising was positively associated with the use of e-cigarettes for cigarette cessation among participants exposed to low (ie, at least 1 SD below the mean) levels of cigarette advertising. Cigarette advertising was associated with the use of e-cigarettes for cigarette cessation only among those exposed to low levels of e-cigarette advertising. Exposure to cigarette displays was not associated with either outcome. Conclusion: Smoking-related cues at POS may undermine successful cigarette cessation. Exposure to product displays decrease odds of cessation. Advertising exposure increased odds for using e-cigarettes for cessation attempts, but may have guided smokers towards an unproven cessation aid. Implications: By examining the interaction of conventional cigarette and e-cigarette marketing exposure, this study adds a unique insight into the impact of retail tobacco marketing on cigarette smoking cessation behavior among young adults. These findings suggest that policies that balance encouraging cigarette smoking cessation while limiting marketing strategies should be considered, such as POS product displays, that may undermine successful cessation attempts.

Marketing Exposure Recall is Associated With Past 30-Day Single, Dual, Polytobacco Use Among US Adolescents.

Introduction: This study assesses the relationship between tobacco/e-cigarette marketing exposure and single, dual, and polytobacco product use, among adolescents. Given the increased use of noncigarette tobacco products (eg, cigars, e-cigarettes, hookah) among youth, it is imperative to understand if marketing exposure is associated with dual and polytobacco product use. Methods: Data were obtained from the 2014 National Youth Tobacco Survey and weighted to be representative of US middle and high school students. Multivariable multinomial logistic regression models were used to assess the relationships between product marketing (via internet, print, retail, and TV/movies) and past 30-day single, dual, and poly (three or more) tobacco product use. Three analyses were conducted using different categories as referent groups to allow for comprehensive examination of the relationships between all groups. Results: Marketing exposure was significantly correlated with a greater risk of single, dual, and polytobacco product use relative to nonusers. Relative to single product users, product marketing exposure was significantly correlated with a greater relative risk of dual and polytobacco use. There was no statistical difference in the association of marketing exposure between dual and polytobacco use, in any model. Conclusion: A positive relationship between tobacco product marketing exposure and number of tobacco products used was observed. The magnitude of the relationship grew from single product to dual/poly use. Restrictions of marketing of all tobacco products, similar to cigarettes, particularly in the retail setting, should be considered. Implications: This study has two primary public health implications. First, self-reported exposure to tobacco/e-cigarette marketing is widespread among adolescents of all tobacco product categories. Second, this widespread exposure to tobacco/e-cigarette marketing appears to not only be correlated with use of a single tobacco product (eg, cigarettes, e-cigarettes), but also multiple tobacco products. While longitudinal studies are needed to further investigate the relationships observed in this study, findings justify further study given the known relationship between tobacco marketing exposure and subsequent cigarette use.

Correlates of Blunt Smoking Among African American, Hispanic/Latino, and White Adults: Results From the 2014 National Survey on Drug Use and Health.

BACKGROUND: Blunt use is highly prevalent in the United States and has been associated with several negative health consequences, such as an increased risk for cardiovascular and pulmonary diseases. Although recent studies have identified characteristics (e.g., gender) that are associated with blunt use, it is unclear if these factors correlate with blunt use equally across racial/ethnic groups. METHODS: Using cross-sectional data from the 2014 National Survey on Drug Use and Health, this study aimed to determine if demographic, health and substance use correlates of current (i.e., past 30-day) and lifetime blunt use were similar across 37,628 non-Hispanic African American, Hispanic/Latino and non-Hispanic White adults. RESULTS: Findings revealed 8.3% of African American, 3.3% of Hispanic/Latino and 2.5% of White adults reported current blunt smoking. Across all racial/ethnic groups, age and current and lifetime cigarette and illicit drug use were associated with current and lifetime blunt use. However, gender, educational level, income, current alcohol use and self-reported health status were differentially associated with current and lifetime blunt use across racial/ethnic groups. Employment status and lifetime depression were not associated with blunt use behaviors among any of the racial/ethnic groups. CONCLUSIONS: The relationship between gender, socioeconomic status, alcohol use and self-reported health status and blunt use differs among African American, Hispanic/Latino and White adults. Researchers and providers should consider the heterogeneity in factors that are associated with blunt use when designing prevention and treatment interventions for African American, Hispanic/Latino and White adult blunt smokers.

Mental Health Status by Race, Ethnicity and Socioeconomic Status among Young Adults in Texas during COVID-19.

BACKGROUND: Differences in symptoms of depression and anxiety by race/ethnicity and socioeconomic status (SES) among a diverse cohort of young adults during the COVID-19 pandemic (Spring 2020-Fall 2021) have not been examined. METHOD: We analyzed four waves of biannual, panel data from n = 2629 emerging adults (16-25 years old) from the Texas Adolescent Tobacco and Marketing Surveillance study (TATAMS). We conducted a series of mixed effects ordinal logistic regression models to compare the independent and joint effects of race/ethnicity and SES on symptoms of (a) depression and (b) anxiety, adjusting for sex, cohort, and time. RESULTS: Symptoms of depression (aOR range: 1.54 - 2.19; 95% CI: 1.02 - 3.08) and anxiety (aOR range: 1.64 - 2.19; 95% CI: 1.22 - 2.79) were elevated among low SES young adults, across all racial/ethnic groups. Across SES groups, symptoms of depression were lower among non-Hispanic Blacks compared to non-Hispanic Whites (aOR range: 0.33 - 0.41; 95% CI: 0.18 - 0.62) and Hispanics /Latinos (aOR range: 0.33 - 0.38; 95% CI: 0.20 - 0.57); similarly, symptoms of anxiety were lower among non-Hispanic Blacks compared to non-Hispanic Whites (aOR range: 0.44; 95% CI: 25 - 0.77) and Hispanics/Latinos (aOR range: 0.47 - 0.56; 95% CI: 0.29 - 0.83). No significant interaction (joint effect) was observed between SES and race/ethnicity during this period. CONCLUSION: Low SES was persistently related to poor mental health. Lower odds of symptoms of anxiety and depression among non-Hispanic Black young adults may reflect the 'mental health paradox'. Overall, mental health policies should prioritize lower SES young adults regardless of race and ethnicity.