Patterns of Alcohol, Marijuana, and Tobacco Use Among U.S. Adolescents and Young Adults by Disability Status: 2015-2019.

PURPOSE: To estimate the national prevalence of tobacco, marijuana, and alcohol use among U.S. adolescents (age 12-17) and young adults (aged 18-25; adolescents and young adults [AYAs]) with a disability and examine associations between disability and substance use from 2015 to 2019. METHODS: Data from the 2015-2019 National Survey on Drug Use and Health were used to estimate the prevalence of tobacco, marijuana, and alcohol use among AYAs with disabilities. Modified Poisson regression models evaluated linear time trends in past-month substance use and estimated adjusted prevalence ratios (aPRs) for past-month cigarette, any tobacco, alcohol, and marijuana use. RESULTS: Adolescents with any disability had a higher prevalence of past-month cigarette (aPR = 1.87; 95% CI 1.67-2.09), alcohol (aPR = 1.21; 95% CI 1.11-1.31), and marijuana use (aPR = 1.47; 95% CI 1.36-1.60) compared to those without disabilities. Cigarette smoking among adolescents decreased over this time period; however, the decline among adolescents without a disability was greater than those with any disability. Young adults with any disability had a higher prevalence of past-month cigarette (aPR = 1.42; 95% CI 1.35-1.48) and marijuana use (aPR = 1.39; 95% CI 1.34-1.45), but a lower prevalence of past-month alcohol use (aPR = 0.93; 95% CI 0.90-0.95) than those without disabilities. Alcohol use remained constant among young adults with any disability but decreased for those without disabilities. DISCUSSION: Population-level disparities in cigarette and marijuana use exist in AYAs with disabilities. Future studies should identify strategies tailored to AYAs with disabilities to encourage smoking cessation and prevent cannabis use disorder.

Latent Classes of Perceived Addictiveness Predict Marijuana, Alcohol, and Tobacco Use in Youth and Young Adults.

Background: Mass media substance use prevention efforts target addiction perceptions in young people. This study examined youth and young adults' (YAs) perceived addictiveness across several substances and the associations between addiction perceptions and substance use. Methods: Data were collected in 2019 in an online cohort study of Vermonters aged 12-25. Latent class analyses grouped participants by perceived addictiveness of nicotine, caffeine, alcohol, marijuana, cigarettes, electronic vapor products (EVPs), and opioids. Bivariate multinomial logistic and modified Poisson regression estimated associations between sociodemographics, substance use correlates, and subsequent use across latent classes. Results: Four latent classes captured addiction perceptions: high perceived addictiveness of EVPs, cigarettes, marijuana, and alcohol (Class 1: n = 317; 31.3%), low perceived addictiveness of marijuana, alcohol, and caffeine (Class 2: n = 151; 14.3%), low perceived addictiveness of marijuana (Class 3: n = 581; 46.5%), and low perceived addictiveness of nicotine, cigarettes, and EVPs (Class 4: n = 83; 7.9%). For each year increase in age, there was a 36% increased likelihood of being in Class 2 (vs. Class 1) and a 148% increased likelihood of belonging to Class 3 (vs. Class 1). Low perceived addictiveness classes were associated with ever and past 30-day marijuana and alcohol use and predicted past 30-day alcohol use at three-month follow-up. Membership in Classes 2 and 3 also predicted past 30-day marijuana use at Wave 3. Discussion: The strong association between age and latent classes defined by low perceived addictiveness suggests age group differences in addiction perceptions. Findings suggest that YAs may benefit from prevention messaging on addictiveness.

A systematic review and meta-analysis of interventions to induce attempts to quit tobacco among adults not ready to quit.

The prevalence of past-year smoking cessation remains below 10% in the U.S. Most who smoke are not ready to quit in the near future. Cessation requires both (a) initiating a quit attempt (QA) and (b) maintaining abstinence. Most research has focused on abstinence among people already motivated to quit. We systematically reviewed interventions to promote QAs among people not motivated to quit tobacco. We searched PubMed, CENTRAL, PsycINFO, Embase, and our personal libraries for randomized trials of tobacco interventions that reported QAs as an outcome among adults not ready to quit. We screened studies and extracted data in duplicate. We pooled findings of the 25 included studies using Mantel-Haenszel random effects meta-analyses when ≥ 2 studies tested the same intervention. Most (24) trials addressed cigarettes and one addressed smokeless tobacco. Substantial heterogeneity among trials resulted in a series of small meta-analyses. Findings indicate varenicline may increase QAs more than no varenicline, n = 320; RR = 1.4, 95% CI [1.1, 1.7]; I² = 0%, and nicotine replacement therapy (NRT) may increase QAs more than no NRT, n = 2,568; RR = 1.1, 95% CI [1.02, 1.3]; I² = 0%. Pooled effects for motivational counseling, reduction counseling, and very low nicotine content cigarettes showed no clear evidence of benefit or harm. The evidence was judged to be of medium to very low certainty due to imprecision, inconsistency, and risk of bias, suggesting that further research is likely to change interpretation of our results. Findings demonstrate the need for more high-quality research on interventions to induce QAs among adults not ready to quit tobacco. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Effects of Vaping Prevention Messages on Electronic Vapor Product Beliefs, Perceived Harms, and Behavioral Intentions among Young Adults: A Randomized Controlled Trial.

Youth have been the focus of electronic vapor product (EVP) prevention efforts though young adults had similar increases in current EVP use from 2015-2019. This study tested messages to reduce EVP use in young adults. Eight messages on vaping related harms and addictiveness combined with themes on social use and flavors were selected for inclusion in an online randomized controlled trial. Vermont young adults aged 18-24 (n = 569) were randomized to view the eight vaping prevention messages (n = 295) or eight messages on sun safety (n = 274). After completing baseline measures, participants viewed study messages and completed measures on message perceptions and perceived message effectiveness (PME), EVP-related beliefs, and EVP-related harm perceptions. Participants completed EVP-related beliefs and harm perception measures again at 1-month follow-up, as well as measures on tobacco and EVP-related behavioral intentions and behavior (ever and past 30-day use). Intervention participants reported positive impacts on vaping-related message responses. However, findings suggested no effect of vaping prevention messages on EVP-related beliefs, harm perceptions, or behaviors in the full sample. Exploratory analyses in the intervention condition showed that greater PME was associated with lower odds to intent to try cigarettes in the next year at follow-up.

Tailored text message and web intervention for smoking cessation in U.S. socioeconomically-disadvantaged young adults: A randomized controlled trial.

The prevalence of cigarette smoking in young adults is higher among those with socioeconomic disadvantage than those without. Low treatment-seeking among young adult smokers is compounded by few efficacious smoking cessation interventions for this group, particularly socioeconomically-disadvantaged young adults (SDYA) who smoke cigarettes. The goal of this study was to test a tailored smoking-cessation intervention for SDYA. 343 SDYA aged 18-30 living in the U.S. (85% female) who smoke cigarettes with access to a smartphone and interest in quitting smoking in the next six months were recruited online in Spring 2020 and randomized to referral to online quit resources (usual care control; n = 171) or a 12-week tailored text message smoking-cessation program with a companion web-based intervention (n = 172). Intent to treat analyses examined associations between study condition, self-reported 30-day point prevalence abstinence (PPA), and confidence to quit smoking at 12 weeks, controlling for potential confounders. Intervention group participants had greater self-reported 30-day PPA at 12-weeks than controls (adjusted relative risk 3.93, 95% CI 2.14-7.24). Among those who continued smoking, the intervention increased confidence to quit (0.81 points, 95% confidence interval 0.08-1.53). Weekly engagement in the intervention predicted greater cessation. A tailored text message intervention for SDYA increased smoking abstinence and confidence to quit at the end-of-treatment. Findings may have been influenced by recruitment at the start of the COVID pandemic but suggest that text messaging is an acceptable and efficacious cessation strategy for SDYA smokers. Future studies should examine the impact on longer-term smoking-cessation and importance of intervention tailoring for SDYA.

Disparities in Tobacco Use by Disability and Type: Findings From the 2019 National Health Interview Survey.

INTRODUCTION: People with disabilities report a higher prevalence of cigarette use than people without disabilities. However, evidence is limited on the relationships between disability type, degree of functional difficulty, and other tobacco product use. METHODS: Data from the 2019 U.S. National Health Interview Survey were used to estimate the prevalence and odds of tobacco product use for 6 disability types and degree of functional difficulty. Bivariate and multivariable analyses conducted in 2021 examined the associations between tobacco product use and disability type. RESULTS: Compared to adults who reported no difficulty, current cigarette use prevalence was higher for adults who reported a lot of difficulty/cannot do at all to vision (21.5% vs 13.1%), hearing (19.6% vs 13.6%), mobility (20.0% vs 12.9%), and cognitive (25.4% vs 12.9%) disability questions. The odds of current cigarette (AOR=1.32), pipe (AOR=1.85), and smokeless tobacco (AOR=1.57) use were significantly higher for adults who reported a lot of difficulty/cannot do at all to any disability question and significantly higher for current cigarette (AOR=1.24), e-cigarette (AOR=1.33), pipe (AOR=1.45), and smokeless tobacco (AOR=1.29) use for adults who reported some difficulty to any disability question than those who reported no difficulty. Pipe use was correlated with mobility difficulty (AOR=1.68), and smokeless tobacco use was correlated with hearing difficulty (AOR=1.95). CONCLUSIONS: People who reported difficulty with vision, hearing, mobility, or cognition had a higher cigarette use prevalence than people without disabilities. Other tobacco use differed by disability type. Future research should tailor tobacco interventions to reduce these disparities.

Optimizing Images for an E-Cigarette Messaging Campaign: Liking and Perceived Effectiveness.

INTRODUCTION: Given the prevalence of electronic vapor product (EVP) use among young people in the US, there is a need for effective vaping education campaigns. This study tested 32 images for liking and perceived effectiveness (PE) to identify optimal images for a messaging campaign. METHOD: Images were selected from current campaigns, warning labels, and other images based on young adult reasons for use. Images were coded for the presence of (1) people, (2) vapor, (3) device, (4) color, and (5) similarity to warning label image. Young adults (n = 200) were recruited from the Amazon Mechanical Turk platform. Participants were randomly assigned to view and rate six of the 32 images on liking as well as PE, which measured the potential impact of the image to discourage vaping appeal and use. RESULTS: Images containing vapor and/or a device or e-liquid were not well-liked but were perceived as effective in discouraging vaping (ps < 0.05). Images from warning labels were also not well-liked but were perceived as significantly more effective than those not from a warning (p < 0.01). Liking and effectiveness of features was similar for both EVP users and non-users. DISCUSSION: Images with specific features were rated as less likable but rated as higher on PE. However, the consistency of image features rated as effective by EVP users and non-users supports the utility of similar imagery for vaping prevention and reduction efforts.

Tobacco and Nicotine Use Among US Adult "Never Smokers" in Wave 4 (2016-2018) of the Population Assessment of Tobacco and Health Study.

INTRODUCTION: A common criterion for being labeled a "never smoker" is having smoked <100 lifetime cigarettes. This category is often used as an unexposed reference group to estimate the relative harm from cigarettes. We examined the amount of current and past cigarette and non-cigarette tobacco/nicotine use among adults who met this "never smoker" criterion. METHODS: We analyzed cross-sectional data from 17 179 adult "never smokers" (ie, reported <100 lifetime cigarettes) in Wave 4 (2016-2018) of the Population Assessment of Tobacco and Health (PATH) Study, a United States nationally representative sample. We used PATH-derived variables to describe "never smokers'" demographics as well as cigarette and non-cigarette tobacco/nicotine use. RESULTS: Approximately half of "never smokers" were young adults (49.3%). Most were white (68.6%) with some college or more (64.4%). Most "never smokers" had tried any cigarette or non-cigarette tobacco/nicotine in their lifetime (66.7%), 8.5% smoked cigarettes in the past 30 days, and 5.3% were current experimental (ie, some days or every day) cigarette smokers. By definition, "never smokers" reported smoking <100 lifetime cigarettes. One fifth (22.8%) had a lifetime history of established regular non-cigarette tobacco/nicotine use and 8.6% were current established regular non-cigarette tobacco/nicotine users. In total, 9.4% of "never smokers" were current experimental or established regular users of combustible tobacco. CONCLUSIONS: The 100-cigarette lifetime threshold includes substantial amounts of current and past tobacco use and thus does not represent lack of exposure to cigarette or non-cigarette tobacco. "Never smoker" reference groups may produce underestimates of the relative harms from cigarettes. IMPLICATIONS: The <100 lifetime cigarettes criterion may not capture what many would consider true "never smokers." Relying on the current definition of "never smokers" as a reference group will include a substantial number of those currently and recently using combustible tobacco and thus produce data that may underestimate the relative harm from cigarettes. Prospective longitudinal research is needed to compare how the 100-cigarette lifetime threshold versus other definitions of regular cigarette smoking differ in predictive validity of clinically meaningful outcomes and health harms to determine the optimal criteria to define established cigarette smoking.

Identifying message content to reduce vaping: Results from online message testing trials in young adult tobacco users.

INTRODUCTION: Young adults' e-cigarette use is associated with perceptions that e-cigarettes are less harmful or addictive than cigarettes, socially acceptable, and appealing. This study developed and tested vaping educational messages addressing these factors: 1) Harm Perceptions, 2) Addictiveness, 3) Social Use, and 4) Flavors. METHODS: Two message trials were conducted in U.S. Amazon Mechanical Turk workers aged 18-24 using a 2 (content: addiction, harm) × 3 (theme: alone, + flavors, + social) design with multiple messages in each of the six categories. Participants were assigned to view a random subset of messages and report on likeability and perceived message effectiveness (PME). Phase 1 (n = 200) tested 33 messages and 32 images. Phase 2 (n = 769) tested combinations of Phase 1's 24 most effective messages with 6 images rated most likeable or effective. Linear mixed effects models assessed the effect of content, theme, image, and their interactions on message response. RESULTS: In both trials, most participants were past 30-day tobacco users. Harm content messages produced higher PME ratings than addiction content messages, and flavor theme messages were correlated with higher likeability scores than "content alone" theme messages. In Phase 2, flavor and social message themes decreased the PME of harm messages. There was no effect of images on either outcome controlling for the independent or interaction effects of content, theme, and image. CONCLUSIONS: Messages conveying the harms of vaping may be best for reducing vaping in young adult tobacco users; flavor and social themes may diminish their effectiveness.

Both reducing cigarettes per day and transitioning to very low-nicotine-content cigarettes decreases demand for usual-brand cigarettes.

Reducing cigarettes per day (CPD) and transitioning to very low-nicotine-content (VLNC) cigarettes appear to decrease nicotine dependence. Other well-accepted measures of the addictiveness of cigarettes involve behavioral economic simulation models, such as the cigarette purchase task (CPT), which characterizes the reinforcing efficacy of cigarettes. Currently it is unclear whether reducing CPD or reducing nicotine through VLNC cigarettes leads to greater reductions in the reinforcing efficacy of cigarettes. The current paper reports a secondary analysis of a 5-week, 2-arm unblinded randomized trial, in which participants were instructed to gradually reduce to 70%, 35%, 15%, and 3% of baseline nicotine over 4 weeks by either (a) reducing CPD (n = 32) or (b) switching to VLNC cigarettes (n = 36). Participants completed the CPT for their usual-brand cigarettes at baseline and again at a 1-month follow-up. Demand was significantly reduced for participants' usual-brand cigarettes in both the CPD, t(18) = 7.65, p < .0001, and the VLNC groups, t(18) = 7.39, p < .0001, from prereduction procedure to the 1-month follow-up. Maximum consumption at zero price (intensity), and maximum expenditure (Omax), were reduced significantly for both the CPD group, t(16) = 3.23, p = .005; t(16) = 3.71, p = .002, respectively, and the VLNC group, t(22) = 3.62, p = .002; t(22) = 3.14, p = .005, respectively, prereduction procedure to the 1-month follow-up. Thus, despite the different mechanisms by which the value of cigarettes was manipulated, both interventions reduced the reinforcing efficacy of cigarettes. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Prospective associations between nicotine beliefs and tobacco-related susceptibility, curiosity, and use in U.S. adults.

Low harm perceptions of tobacco products have been associated with use of those products in youth and adults, but this relationship has not been assessed for nicotine beliefs. This study used data from a national sample of adults aged 18-40 in Wave 9 (Spring 2016) of the Truth Initiative Young Adult Cohort Study to examine correlations and prospective associations between the latent classes of nicotine beliefs and susceptibility, curiosity, and use of tobacco products in 3122 adults who also completed Wave 10 (Fall 2016). At Wave 9, four latent classes of beliefs characterized the role of nicotine in the health risks of smoking: Class 1, large role, 51%; Class 2, large role/don't know, 9.4%; Class 3, small role in health, 32.5%; and Class 4, none/small role in cancer, 7.5%. Latent classes of nicotine beliefs were highly correlated with susceptibility and curiosity to use cigarettes, e-cigarettes, and hookah, as well as past 30-day use of a range of tobacco products at Wave 9 among never users. Classes 3 and 4 had the highest prevalence of past 30-day tobacco use; never users in these classes reported the greatest susceptibility to try cigarettes, hookah, and e-cigarettes at Wave 9. Class 4 had higher odds of increased e-cigarettes use at follow-up compared to Class 1. There were few prospective associations between nicotine beliefs latent class, susceptibility, and curiosity at Wave 10. Nicotine beliefs are associated with tobacco-related outcomes and, if assessed, may provide novel information to guide tobacco prevention and intervention efforts.

Impact of alcohol and drug use on smoking and cessation in socioeconomically disadvantaged young adults.

INTRODUCTION: Population studies highlight that alcohol and marijuana use are correlated with cigarette smoking and other tobacco use. The aim of our study was to describe the ways in which alcohol and drug use may affect cigarette smoking and cessation in socioeconomically-disadvantaged young adult (SDYA) smokers. METHODS: Thirty-six SDYA smokers aged 18-29 participated in eight focus groups and two individual interviews in Burlington, Vermont in 2018. Structured focus groups addressed poly-tobacco use, other substance use and co-use with tobacco, and the contexts and facilitators that cue SDYA smoking. Participants were also asked their reasons for smoking, barriers to cessation, and messages or modalities that would make smoking cessation more novel or relevant. Three coders implemented the Framework Method to systematically code focus group transcripts. RESULTS: In this sample of SDYA smokers, four key themes emerged around the relationships between alcohol and drug use and smoking: 1) frequent co-use of tobacco and other substances, 2) changes in frequency of smoking when using other substances, including chain smoking when drinking and substituting cigarettes with marijuana, 3) cigarettes as a last remaining addiction for those in recovery from other substance use and, 4) fears that quitting smoking would cause relapse to other substances. DISCUSSION: Co-use of other substances emerged as a reason for smoking and a barrier to quitting, including a concern that quitting smoking would trigger drug or alcohol relapse. Findings support demand for interventions that address substance co-use to improve smoking cessation in SDYA smokers.

Smoking-Cessation Interventions for U.S. Young Adults: Updated Systematic Review.

CONTEXT: Recent data suggest that the onset of cigarette smoking is now more likely during young adulthood than adolescence. Additionally, the landscape of delivering smoking-cessation interventions has changed in the past decade, with the emergence of mobile phone and web-based approaches. The objective of this study is to update a 2010 systematic review of smoking-cessation interventions for U.S. young adults (aged 18-24 years). EVIDENCE ACQUISITION: Electronic searches were conducted in CINAHL, the Cochrane Library, Embase, PsycINFO, PubMed, Scopus, and Sociological Abstracts to identify eligible interventions from August 31, 2009 through July 17, 2019. Two independent coders critically evaluated the methodology and findings of all retrieved articles. Data analysis was conducted in 2019. EVIDENCE SYNTHESIS: A total of 17 RCTs and 1 nonrandomized study were added to the original 14 studies meeting the inclusion criteria for this review; these studies varied with respect to sample size, intervention, assessed outcomes, and smoking measures. Of the new studies, 3 increased cessation in the short term, 2 at 6 months, and 1 had short-term effects on cigarette reduction. Pooled analyses supported the use of interventions employing social cognitive theory, quitline counseling, and text message programs for short-term cessation in young adults. CONCLUSIONS: Of 32 included studies, 9 demonstrated efficacy of smoking cessation or reduction in U.S. young adults. There were no eligible pharmacologic interventions included in this review. Findings support the promise of 3 approaches for young adult cessation not included in the prior review: text message interventions, sustained quit-and-win contests, and multiple behavior interventions.

Latent Classes of Nicotine Beliefs Correlate with Perceived Susceptibility and Severity of Nicotine and Tobacco Products in US young adults.

BACKGROUND: Pervasive misperceptions about nicotine may influence uptake of quit smoking aids and the impact of policies addressing nicotine as a tobacco product constituent. METHODS: Latent class analyses were conducted using four items on nicotine beliefs asked of 4037 adults aged 18-40 in wave 9 (February-March 2016) of the Truth Initiative Young Adult Cohort Study. Confirmatory factor analyses identified three factors from 12 items: nicotine susceptibility (NSUS), nicotine severity (NSEV), and tobacco severity (TSEV). Analyses assessed correlations between latent classes, sociodemographics, and nicotine/tobacco factor scores. RESULTS: A four-class model of nicotine beliefs was the best fit, with the largest class believing that nicotine plays a major part in smoking risks (class 1, n = 2070; 52%). Class 2 shared that belief but also responded "Don't know" to addiction questions (class 2, n = 382; 11%). Fewer belonged in class 3, who reported that nicotine plays a small part in health risks (n = 1277; 30%), and class 4, who perceived nicotine as not cancer causing (n = 308; 7%). Latent class membership was correlated with sociodemographics, peer smoking, and past 30-day tobacco use. Classes 1 and 2 had similar NSUS scores and classes 3 and 4 had similar NSEV and TSEV scores. DISCUSSION: Differences in the perceptions of nicotine and tobacco-related harms can be partially explained by clustering of underlying nicotine beliefs. These classes of beliefs are correlated with sociodemographic predictors of smoking. These findings may help to identify specific beliefs or groups to be targeted by public education efforts on nicotine. IMPLICATIONS: The current study supports that underlying nicotine beliefs are associated with perceived harms of specific nicotine and tobacco products (relative to cigarettes), with greater false beliefs about nicotine correlated with greater perceived susceptibility to nicotine addiction. Two important inferences emerge from this study: first, that education to address nicotine beliefs may also reframe perceptions of the harms of nicotine and tobacco products; and second, that this type of education may differentially impact perceptions of the harms of nicotine products (e.g., nicotine replacement therapy and e-cigarettes) and tobacco products (e.g., cigars, smokeless, and hookah).

Impact of Brief Nicotine Messaging on Nicotine-Related Beliefs in a U.S. Sample.

INTRODUCTION: The current study pilot tested the effect of a single, brief exposure to nicotine education messages on beliefs about nicotine, nicotine-replacement therapy (NRT), E-cigarettes, and cigarettes with reduced nicotine content (RNC). METHODS: Five hundred and twenty-one U.S. adults (aged ≥18 years) completed a 15-minute survey on Amazon Mechanical Turk in 2018. After completing items on sociodemographics, literacy, and cancer risk behaviors, participants were randomized in a 2:1:1 ratio to 1 of 3 conditions: nicotine education (n=263), sun safety education (attention control, n=128), or no message control (n=130). All participants completed items regarding nicotine, NRT, E-cigarette, and RNC cigarette beliefs, as well as norms about nicotine use, behavioral control regarding cigarette/tobacco use, and intention to use cigarettes, NRT, E-cigarettes, and RNC cigarettes in the next 12 months. Analyses were conducted in 2019. RESULTS: Following exposure, nicotine education participants reported fewer false beliefs about nicotine (p<0.001), NRT (p<0.001), E-cigarettes (p<0.05), and RNC cigarettes (p<0.05) compared with the control conditions. Nicotine messaging doubled the probability of a correct response (false, 78.3% vs 36.8%) to nicotine is a cause of cancer and dramatically reduced the probability of responding don't know to this item (5.3% vs 26.0%). There was no impact of the intervention on beliefs about other substances within cigarette, norms, or behavioral intentions. CONCLUSIONS: Findings from the current study support the hypothesis that a brief nicotine messaging intervention-similar to the messages likely to be seen on warning labels or in media campaigns-is likely to correct misperceptions of nicotine, NRT, E-cigarettes, and RNC cigarettes.

Prevalence and correlates of nicotine and nicotine product perceptions in U.S. young adults, 2016.

INTRODUCTION: Nicotine is not a human carcinogen and combustion compounds in tobacco smoke, rather than nicotine, cause tobacco-related cardiovascular disease. Few recent studies examine the public's beliefs about nicotine in relation to smoking. METHODS: Participants aged 18-40 (n = 4,091) in Wave 10 (Fall 2016) of the Truth Initiative Young Adult Cohort Study responded to nineteen items on nicotine and nicotine product perceptions, including addictiveness and health harms of nicotine patch/gum and e-cigarettes compared to cigarettes. Analyses conducted in 2018 examined prevalence of perceptions and sociodemographic and tobacco use correlates of selected perceptions. RESULTS: The majority of young adults reported that nicotine was responsible for a "relatively" or "very large" part of the health risks (66%) and cancer (60%) caused by smoking. More than half of young adults (55%) believed that nicotine is a cause of cancer. Between 23% and 43% of young adults responded "don't know" to items on nicotine. Females, blacks, Hispanics, and those with less than some college education were more likely to report true or "don't know" vs. false to "nicotine is a cause of cancer" and had higher odds of believing that nicotine was responsible for a "relatively" or "very large" part of the health risks of smoking and cancer caused by smoking. Past 30-day tobacco users had lower odds of reporting these beliefs. CONCLUSIONS: Misperceptions of nicotine are widespread in young adults. Public education is needed to maximize the public health impact of FDA's required nicotine warning label and proposed nicotine reduction policies.

Tobacco Use and Cessation Behaviors in Young Adults: 2016 National Health Interview Survey.

OBJECTIVES: To examine differences in tobacco use and cessation between young adults (aged 18-24 years) and adults aged 25 years or older. METHODS: We used data from the 2016 US National Health Interview Survey (n = 33 028) to identify 13 494 current and former cigarette smokers (562 aged 18-24 years; 12 932 aged 25 years or older). We analyzed correlations between age group, cigarette smoking, cessation behaviors, and other tobacco and nicotine use. RESULTS: Among current and former smokers, those aged 18 to 24 years had lower odds of having quit for 1 year or longer and higher odds of having tried e-cigarettes, cigars, pipes, and smokeless tobacco compared with adults aged 25 years or older, as well as higher odds of daily e-cigarette and smokeless tobacco use. Young adult smokers used fewer cigarettes per day than did those aged 25 years or older (mean = 8.8 vs 12.3), had higher odds of making a past-year quit attempt (adjusted odds ratio [AOR] = 1.42), and had lower odds of having a health professional talk to them about smoking (AOR = 0.44). CONCLUSIONS: Greater experimentation with noncigarette products, lower cigarette consumption, and greater interest in quitting smoking invite novel intervention approaches to tobacco reduction, cessation, and relapse prevention in young adults.