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Introduction: Susceptibility predicts subsequent uptake of e-cigarettes (EC) by youth. This study identified factors associated with EC susceptibility among high school students who have never used a tobacco/nicotine product.

Methods: The Oklahoma Youth Tobacco Survey was administered to a random sample of 36 Oklahoma High Schools during the 2021-2022 school year (n = 1,220 participating students). Associations between EC susceptibility and covariates were identified using stepwise logistic regression for weighted survey data.

Results: More than one third of Oklahoma high school students who had never used tobacco or nicotine products (36.4%) were susceptible, and males had higher susceptibility than females (38.8 and 33.9%, respectively). In males, EC susceptibility was associated with race (Black, American Indian, and other were less susceptible), psychological distress (aOR = 2.4, 95% CI = 1.1, 4.8), disagreement that all tobacco products are dangerous (aOR = 3.1, 95% CI = 1.2, 7.9), and perception of little/no harm from secondhand vapor (aOR = 3.4, 95% CI = 2.1, 5.3). In females, identifying as gay, lesbian, or bisexual (aOR = 2.1, 95% CI = 1.1, 3.9), poor academic performance (aOR = 4.5, 95% CI = 1.6, 12.6), psychological distress (aOR = 2.6, 95% CI = 1.2, 5.5) and interacting with EC content on social media (aOR = 5.9, 95% CI = 1.9, 18.1) were associated with EC susceptibility.

Conclusion: Males and females had different patterns of susceptibility to EC use. Understanding groups of adolescents most susceptible to using nicotine products can help target prevention efforts at home, in schools, and within communities.

Introduction: Increasing electronic cigarette use among youth has led to a need for a novel intensity measure of e-cigarette use and its association with nicotine addiction variables.

Methods: Using a cross sectional study of the 2018-2019 PATH Wave 5 Youth survey, a new intensity metric of e-cigarette use, the average number of puffs per month as a function of frequency (days of use per month), number of uses per day and number of puffs per use, was developed for adolescent e-cigarette users. Using logistic regression, standard addiction measures were tested for association with higher quartile (Q) of e-cigarette intensity: Q1 (1-5 puffs), Q2 (6-50 puffs), Q3 (51-528 puffs), and Q4 (529+ puffs).

Results: Among 1,051 current youth e-cigarette users, cravings were associated with greater intensity of use (Q2: aOR= 1.90, 95% CI: 0.94-3.87; Q3: aOR = 6.91, 95% CI: 3.25-14.69; Q4: aOR =21.48, 95% CI 10.03-45.97). Craving associations exceeded the corresponding aORs for the identical regression using frequency of use. Higher intensity was significantly associated with being an older adolescent (aOR=1.85), best friend use (aOR: 3.35), not thinking about quitting (aOR: 2.51), and lower perceived addiction (aOR: 1.95).

Conclusions: This study found that an intensity metric (puffs per month) was strongly associated with cravings, best friend use, harm perception, and lack of intention to quit. This metric provides a more accurate picture of the intensity of youth e-cigarette use than other commonly used measures and may be important for understanding the current and future impact of the youth e-cigarette epidemic.

Implications: Adolescent addiction to e-cigarettes affects learning, memory, and attention. However, it is unknown whether intensity of use, puffs per month, differs from frequency, days of use per month, in relation to addiction measures. This study provides evidence that high intensity use characterized by puffs per month has a stronger association to cravings compared to frequency, which suggests puffs per month may be a better measure of nicotine exposure. This new intensity metric may give insights into youth e-cigarette use patterns, addiction, and appropriate treatment of intense but intermittent users.

Jackson SE, Brown J, Beard E.
Associations of Prevalence of E-cigarette Use with Quit Attempts, Quit Success, Use of Smoking Cessation Medication, and the Overall Quit Rate among Smokers in England: A Time-series Analysis of Population Trends 2007-2022
Nicotine Tob Res. 2024 Jan 12:ntae007. doi: 10.1093/ntr/ntae007. Epub ahead of print. PMID: 38214664.

Introduction: This study aimed to: (i) provide up-to-date estimates of how changes in prevalence of e-cigarette use have been associated with changes in smoking cessation activities and use of licensed treatments among smokers in England; and (ii) explore any changes in these associations over time.

Methods: Data were aggregated quarterly on 67,548 past-year smokers between Q1-2007 and Q4-2022. Explanatory variables were prevalence of (i) current e-cigarette use among smokers and (ii) e-cigarette use during a quit attempt. Outcomes were rates of quit attempts and overall quits among past-year smokers, and the quit success rate and use of licensed treatments among those who made a quit attempt.

Results: The success rate of quit attempts increased by 0.040% (95%CI 0.019; 0.062) for every 1% increase in the prevalence of e-cigarette use during a quit attempt. No clear evidence was found for an association between current e-cigarette use and the quit attempt rate (Badj=0.008 [95%CI -0.045; 0.061]) or overall quit rate (Badj=0.063 [-0.031; 0.158]); or between use of e-cigarettes during a quit attempt and the overall quit rate (Badj=0.030 [-0.054; 0.114]), use of prescription medication (varenicline/bupropion/NRT: Badj=-0.036 [-0.175; 0.102]), or use of over-the-counter NRT (Badj=-0.052 [-0.120; 0.015]). There was no clear evidence this pattern of associations has changed substantially over time.

Conclusions: Changes in prevalence of e-cigarette use in England through to 2022 have been positively associated with the success rate of quit attempts but not clearly associated with the quit attempt rate, overall quit rate, or use of licensed smoking cessation treatments.

Implications: If the association between the increase in e-cigarette use and the quit success rate is causal, then the use of e-cigarettes in quit attempts has helped in the region of 30,000 to 50,000 additional smokers in England to successfully quit each year since they became popular in 2013, over and above the number who were quitting before the advent of e-cigarettes.

Introduction: Trial evidence suggest that e-cigarettes may aid in quitting smoking, while observational studies have found conflicting results. However, many observational studies have not adjusted for important differences between e-cigarette users and non-users.

Methods: We aimed to determine the association between e-cigarette use frequency and motivation to use e-cigarettes to quit smoking, and smoking cessation using data from Canada's largest smoking cessation program. Participants who completed a baseline assessment and 6-month follow-up questionnaire were divided post hoc into 4 groups based on their self-reported e-cigarette use during the 30 days before baseline: 1) non-users; 2) users of e-cigarettes not containing nicotine; 3) occasional users; and 4) frequent users. Occasional and frequent users were further divided into two groups based on whether they reported using e-cigarettes to quit smoking. Abstinence at 6-month follow-up (7-day point prevalence abstinence) was compared among groups.

Results: Adjusted quit probabilities were significantly higher (both p<0.001) for frequent baseline e-cigarette users (31.6%; 95% CI = 29.3%, 33.8%) than for non-users (25.8%; 25.3%, 26.3%) or occasional users (24.2%; 22.5%, 26.0%). Unadjusted proportions favoured non-users over occasional users (p<0.001), but this was not significant after adjustment (p=0.06). People using e-cigarettes to quit smoking were not likelier than other users to be successful, but were likelier to report frequent e-cigarette use during follow-up.

Conclusions: Frequent baseline e-cigarette use predicted successful smoking cessation, compared to occasional and non-users. Use of e-cigarettes to quit did not predict smoking cessation, but was associated with continued use during follow-up, perhaps due in part to planned transitions to e-cigarettes.

Implications: Prior observational studies investigating e-cigarettes use for smoking cessation have found that occasional users have poorer outcomes than either frequent or non-users. Consistent with these studies, occasional users in our data also had poorer outcomes. However, after adjustment for variables associated with cessation success we found that cessation probabilities did not differ between occasional and non-users. These findings are consistent with trial data showing a benefit of e-cigarette use among people trying to quit smoking. Results of this study suggest that differences between trials and previous observational studies may be due to unaddressed confounding in the latter.

Introduction: In recent years, the nicotine in e-cigarettes has been available in either a 'free-base' (unprotonated) or 'nicotine salt' (protonated) form. Additionally, e-cigarette nicotine can be either 'synthetic' or 'tobacco-derived'. These dimensions of nicotine have implications for nicotine absorption, bioavailability and sensory experiences. However, it is unclear if the young people using e-cigarettes are aware of these nicotine dimensions.

Methods: Data came from a cohort of Ohio youth (aged 15-24) who reported using an e-cigarette in the past 4 months (N=271). Participants were enrolled and provided background information in 2021; their 12-month follow-up survey asked about the presence, form and type of nicotine in their usual e-cigarette. Individuals who reported that they could distinguish between tobacco-derived and synthetic nicotine were additionally asked to describe the difference.

Results: Of the 247 youth who reported that there was nicotine in their usual e-cigarette, 71.7% did not know whether it was free-base or nicotine salt and 75.7% did not know whether it was synthetic or tobacco-derived. Awareness was higher among youth who were using e-cigarettes at a greater frequency and quantity. The majority reported that they could not detect a difference between the experience of using synthetic vs tobacco-derived nicotine.

Tam J, Jimenez Mendoza E, Buckell J, Sindelar J, Meza R.
Responses to Real-world and Hypothetical E-cigarette Flavor Bans among US Young Adults Who Use Flavored E-cigarettes
Nicotine Tob Res. 2023 Dec 23:ntad258. doi: 10.1093/ntr/ntad258. Epub ahead of print. PMID: 38141252.

Introduction: E-cigarette flavor bans could reduce or exacerbate population health harms. To determine how US e-cigarette flavor restrictions might influence tobacco use behavior, this study assesses responses to real-world and hypothetical flavor bans among young adults who use flavored e-cigarettes.

Methods: An online, national survey of young adults ages 18-34 who use flavored e-cigarettes was conducted in 2021 (n=1,253), oversampling states affected by e-cigarette flavor restrictions. Participants were asked about their responses to real-world changes in the availability of flavored e-cigarettes. Unaffected participants were asked to predict their responses under a hypothetical federal e-cigarette flavor ban.

Results: The most common response to real-world changes in flavored e-cigarettes availability was to continue vaping (~80%). Among those who exclusively vaped, 12.5% switched to combustible tobacco. Quitting all forms of tobacco was selected by 5.3% of those exclusively vape vs. 4.2% who dual use. Under a hypothetical federal ban, more than half of respondents stated they would continue vaping; 20.9% and 42.5% of those who exclusively vape vs dual use would use combustible tobacco. Quitting all tobacco products was endorsed by 34.5% and 17.2% of those who exclusively vape vs dual use.

Conclusions: Young adults who vape flavored e-cigarettes have mixed responses to e-cigarette flavor bans. Under both real-world and hypothetical e-cigarette flavor bans, most who use flavored e-cigarettes continue vaping. Under a real-world ban, the second most common response among those who exclusively vape is to switch to smoking; under a hypothetical federal ban, it is to quit all tobacco.

Implications: This is the first national survey to directly ask young adults who use flavored e-cigarettes about their responses to real-world changes in flavored e-cigarette availability due to state and local flavor restrictions. The survey also asked individuals to predict their responses under a hypothetical federal e-cigarette flavor ban. Most who use flavored e-cigarettes would continue vaping following e-cig flavor restrictions, but many would switch to or continue using combustible tobacco, highlighting potential negative public health consequences of these policies. Policymakers must consider the impact of e-cigarette flavor bans on both e-cigarette and cigarette use.

Introduction: Given the rapid increase in the prevalence of e-cigarette use among youth, we updated Click City®: Tobacco, an existing, efficacious, online tobacco prevention program for 5th graders with a 6th-grade booster, to also target e-cigarette use.

Method: To evaluate the effectiveness of the updated 5th-grade program within a "real world" setting, we conducted a pragmatic randomized trial with 5th grade students in 43 schools across Arizona and Oregon, assessing change in intentions and willingness to use e-cigarettes/cigarettes, from baseline to one-week post-intervention. Students in intervention schools (n = 1327) received the updated version of Click City®: Tobacco; students in control schools (n = 1346) received their usual tobacco prevention curriculum.

Results: Students in intervention schools significantly decreased their intentions and willingness to use e-cigarettes and cigarettes, compared to students in control schools. The intervention also significantly changed all targeted etiological mechanisms predictive of intentions and willingness. The intervention was more effective for at-risk students, as defined by student's previous tobacco use, current family use of tobacco, and/or high in sensation-seeking. The effects of the intervention on all outcomes were similar as a function of state, gender, ethnicity, and historical timing (prior to COVID-19 pandemic school closures vs. after schools re-opened). Close to 90% of the students in the intervention condition completed the entire program, supporting fidelity of implementation, and teachers reported satisfaction with the program.

Conclusions: Findings suggest that Click City®: Tobacco is effective for all 5th grade students and can be delivered with fidelity across school settings.

Implications: The results of a randomized pragmatic effectiveness trial showed that the updated Click City®: Tobacco program decreased intentions and willingness to both vape e-cigarettes and smoke cigarettes among 5th grade students, particularly for those at high risk. Program effectiveness and lack of differences due to factors such as state, gender, ethnicity, and historical timing has universal implications, suggesting that all students can benefit from this program. Click City®: Tobacco received high ratings of program satisfaction from teachers and was implemented with fidelity. Findings suggest that Click City®: Tobacco is effective and can be easily implemented in schools.

Introduction: The USA and New Zealand have sought to establish a product standard to set a maximum nicotine level for cigarettes to reduce their addictiveness. This study examined support for very low nicotine cigarettes (VLNCs) in Australia, Canada, England and the USA between 2016 and 2020.

Methods: Repeated cross-sectional data were analysed from participants who currently smoke, formerly smoked or vaped and/or currently vape in the 2016 (n=11 150) and/or 2020 (n=5432) International Tobacco Control (ITC) Four Country Smoking and Vaping Survey. Respondents were asked if they would support a law that reduces the amount of nicotine in cigarettes to make them less addictive. Adjusted and weighted logistic regression analyses estimated the prevalence and predictors of support, such as country, age, sex, education, income, race and smoking/vaping status for VLNCs (support vs oppose/do not know).

Results: A majority of respondents supported a VLNC law, with support highest in Canada (69%; 2016 and 2020 combined), followed by England (61%), Australia (60%) and the USA (58%). Overall, support decreased from 62% in 2016 to 59% in 2020 (p=0.004), which did not differ by country. Levels of support differed by smoking/vaping status, where those who exclusively smoked daily showed the lowest level of support (59%) and those who exclusively vaped non-daily had the highest level of support (72%).

Conclusion: More than half of respondents in all four countries-including those who smoked daily-supported a hypothetical VLNC standard to render cigarettes less addictive. It is important to examine if support is sustained after policies are implemented.

Introduction: This study assessed the substitutability of plausible combustible menthol cigarette alternatives (MCAs) for usual brand menthol cigarettes (UBMCs) in adults who smoke menthol cigarettes.

Methods: Following three in-lab sampling sessions, 80 adults aged 21-50 who smoke menthol cigarettes chose their preferred MCA: (1) a menthol roll-your-own cigarette (mRYO), (2) a menthol filtered little cigar (mFLC) or (3) a non-menthol cigarette (NMC). Participants were instructed to completely substitute their preferred MCA for their UBMC for 1 week and complete daily diaries documenting adherence and subjective effects. At the final lab visit, participants completed concurrent choice and cross-price elasticity tasks with their substitute product and UBMC as the comparator.

Results: Most (65%) participants chose mRYO as their preferred product, followed by NMC and mFLC. Adherence to MCA was high for all products across the week (range: 63%-88%). Positive subjective effects for mRYO decreased over time but remained numerically higher than the other MCA products; craving reduction also decreased for NMC across phases. In the progressive ratio task, participants chose their UBMC in 61.7% of choices; this did not differ by preferred MCA, although the median breakpoint was highest for mRYO and similar for mFLC and NMC. Cross-price elasticity comparing UBMC and the preferred product indicated high substitutability of each MCA at phase 3 (I values -0.70 to -0.82).

Conclusions and relevance: mRYOs were the most preferred MCA among the study products, but all MCAs were acceptable substitutes for UBMC using behavioural and economic measures in a short-term trial period.

Background and aims: iCanQuit is a smartphone application (app) proven efficacious for smoking cessation in a Phase III randomized controlled trial (RCT). This study aimed to measure whether medications approved by the US Food and Drug Administration (FDA) for smoking cessation would further enhance the efficacy of iCanQuit, relative to its parent trial comparator-the National Cancer Institute's (NCI's) QuitGuide app.

Design: Secondary analysis of the entire parent trial sample of a two-group (iCanQuit and QuitGuide), stratified, doubled-blind RCT.

Setting: United States.

Participants: Participants who reported using an FDA-approved cessation medication on their own (n = 619) and those who reported no use of cessation medications (n = 1469).

Interventions: Participants were randomized to receive iCanQuit app or NCI's QuitGuide app.

Measurements: Use of FDA-approved medications was measured at 3 months post-randomization. Smoking cessation outcomes were measured at 3, 6 and 12 months. The primary outcome was 12-month self-reported 30-day point prevalence abstinence (PPA).

Findings: The data retention rate at the 12-month follow-up was 94.0%. Participants were aged 38.5 years, 71.0% female, 36.6% minority race/ethnicity, 40.6% high school or less education, residing in all 50 US States and smoking 19.2 cigarettes/day. The 29.6% of all participants who used medications were more likely to choose nicotine replacement therapy (NRT; 78.8%) than other cessation medications (i.e. varenicline or bupropion; 18.3 and 10.5%, respectively) and use did not differ by app treatment assignment (all P > 0.05). There was a significant (P = 0.049) interaction between medication use and app treatment assignment on PPA. Specifically, 12-month quit rates were 34% for iCanQuit versus 20% for QuitGuide [odds ratio (OR) = 2.36, 95% confidence interval (CI) = 1.59, 3.49] among participants reporting any medication use, whereas among participants reporting no medication use, quit rates were 28% for iCanQuit versus 22% for QuitGuide (OR = 1.41, 95% CI = 1.09, 1.82). Results were stronger for those using only NRT: 40% quit rates for iCanQuit versus 18% quit rates for QuitGuide (OR = 3.57, 95% CI = 2.20, 5.79).

Conclusions: The iCanQuit smartphone app for smoking cessation was more efficacious than the QuitGuide smartphone app, regardless of whether participants used medications to aid cessation. Smoking cessation medications, especially nicotine replacement therapy, might enhance the efficacy of the iCanQuit app.

Introduction: Digital cessation support appeals to pregnant smokers. In two pooled RCTs, MiQuit, a pregnancy-specific tailored text messaging intervention, did not show effectiveness for validated prolonged abstinence. However, secondary outcomes and potential moderators and mediators have not been investigated. We aimed to determine, using pooled RCT data: 1) MiQuit effectiveness for a range of smoking outcomes; 2) whether baseline tobacco dependence or quit motivation moderate effectiveness; 3) whether hypothesized mechanisms of action (quitting determination, self-efficacy, baby harm beliefs, lapse prevention strategies) mediate effectiveness.

Methods: Pooled data analysis from two procedurally identical RCTs comparing MiQuit (N=704) to usual care (N=705). Participants were smokers, <25 weeks pregnant, recruited from 40 English antenatal clinics. Outcomes included self-reported seven-day abstinence at four weeks post-baseline and late pregnancy, and prolonged abstinence. Late pregnancy outcomes were also biochemically validated. We used hierarchical regression and Structural Equation Modelling.

Results: MiQuit increased self-reported, seven-day abstinence at four weeks (OR=1.73 [95% CI 1.10-2.74]) and was borderline significant at late pregnancy (OR=1.34 [0.99-1.82]) but not for prolonged or validated outcomes. Effectiveness was not moderated by baseline dependence (Heaviness of Smoking "low" versus "moderate-high") or motivation (planning to quit ≤30 days [high] versus >30days [low]), but effects on self-reported outcomes were larger for the high motivation sub-group. MiQuit had a small effect on mean lapse prevention strategies (MiQuit 8.6 [SE 0.17], UC 8.1 [SE 0.17]; P=0.030) but not other mechanisms.

Conclusions: MiQuit increased short-term but not prolonged or validated abstinence and may be most effective for those motivated to quit sooner.

Implications: Digital cessation support appeals to pregnant smokers. MiQuit, a tailored, theory-guided text messaging program for quitting smoking in pregnancy, has not shown effectiveness for validated prolonged abstinence in two previous RCTs but its impact on other smoking outcomes and potential mechanisms of action are unknown. When pooling trial data, MiQuit increased self-reported short-term abstinence, including making a quit attempt and abstinence at four-week follow-up, but not late pregnancy, sustained or validated abstinence. MiQuit appeared effective at late pregnancy for participants with high quitting motivation, but its mechanisms of action remain uncertain. Additional support components are likely required to enhance effectiveness.

Background: Tobacco use has shifted in recent years, especially with the introduction of e-cigarettes. Despite the current variable and intersecting tobacco product use among tobacco users, most want to quit, which necessitates cessation programs to adapt to these variable trends (vs focusing on combustible cigarettes alone). The use of web-based modalities for cessation support has become quite popular in recent years and has been compounded by the COVID-19 pandemic. Therefore, understanding the current strengths and limitations of existing programs to meet the needs of current various tobacco users is critical for ensuring the saliency of such programs moving forward.

Objective: The purpose of this study was to understand the strengths and limitations of web-based cessation support offered through QuitNow to better understand the needs of a variety of end users who smoke, dual use, or vape.

Methods: Semistructured interviews were conducted with 36 nicotine product users in British Columbia. Using conventional content analysis methods, we inductively derived descriptive categories and themes related to the strengths and limitations of QuitNow for those who smoke, dual use, or vape. We analyzed the data with the support of NVivo (version 12; QSR International) and Excel (Microsoft Corporation).

Results: Participants described several strengths and limitations of QuitNow and provided suggestions for improvement, which fell under 2 broad categories: look and feel and content and features. Shared strengths included the breadth of information and the credible nature of the website. Individuals who smoke were particularly keen about the site having a nonjudgmental feeling. Moreover, compared with individuals who smoke, individuals who dual use and individuals who vape were particularly keen about access to professional quit support (eg, quit coach). Shared limitations included the presence of too much text and the need to create an account. Individuals who dual use and individuals who vape thought that the content was geared toward older adults and indicated that there was a lack of information about vaping and personalized content. Regarding suggestions for improvement, participants stated that the site needed more interaction, intuitive organization, improved interface esthetics, a complementary smartphone app, forum discussion tags, more information for different tobacco user profiles, and user testimonials. Individuals who vape were particularly interested in website user reviews. In addition, individuals who vape were more interested in an intrinsic approach to quitting (eg, mindfulness) compared with extrinsic approaches (eg, material incentives), the latter of which was endorsed by more individuals who dual use and individuals who smoke.

Conclusions: The findings of this study provide directions for enhancing the saliency of web-based cessation programs for a variety of tobacco use behaviors that hallmark current tobacco use.

Introduction: Prior studies report nicotine/tobacco use disparities for sexual and gender minority (SGM) youth but have insufficiently characterized SGM identity diversity.

Aims and methods: Adolescents (mean age = 15.2) from 11 high schools in Southern California completed surveys in Fall 2021. Ever use of combustible (cigarettes, cigars, hookah) and noncombustible (e-cigarettes, e-hookah, heated tobacco, smokeless/snus, oral nicotine) nicotine/tobacco (among overall sample, n = 3795) and susceptibility to future initiation of cigarettes, e-cigarettes, and flavored non-tobacco oral nicotine (among n = 3331 tobacco-naïve youth) were compared across four gender (male/masculine, female/feminine, transgender male/female, non-binary) and seven sexual (heterosexual, bisexual, pansexual, queer, questioning, gay/lesbian, asexual) identities.

Results: Non-binary (vs. cisgender male) youth had greater prevalence of ever combustible (prevalence ratio [PR] = 2.86, 95% confidence intervals (CI): 1.76 to 4.66) and non-combustible (PR = 1.94, 95% CI: 1.31 to 2.86) nicotine/tobacco use, and susceptibility to future nicotine/tobacco initiation (PR range = 2.32-2.68). Transgender (vs. cisgender male) youth had greater susceptibility to nicotine/tobacco use (PR range = 1.73-1.95), but not greater tobacco use prevalence. There was greater prevalence of non-combustible nicotine/tobacco use (PR range = 1.78-1.97) and susceptibility to nicotine/tobacco initiation (PR range = 1.36-2.18) for all sexual minority (vs. heterosexual) identities, except for asexual. Bisexual (PR = 2.03, 95% CI: 1.30 to 3.16) and queer (PR = 2.87, 95% CI: 1.31 to 6.27) youth had higher ever combustible tobacco use than heterosexual youth. Questioning (vs. heterosexual) youth were more susceptible to future tobacco initiation (PR range = 1.36-2.05) but did not differ in ever use.

Conclusions: Disparities in nicotine/tobacco use and susceptibility were present with similar effect sizes across most, but not all, SGM identities. Inclusive measurement of SGM identities in research and surveillance may inform more precise tobacco control efforts to reduce disparities.

Implications: Among high school students from Southern California with substantial diversity in sexual and gender identities, there was greater prevalence of tobacco use and susceptibility to future tobacco initiation for most, but not all, sexual and gender minority youth, including those with emerging sexual and gender identities such as non-binary, queer and pansexual. Additionally, findings indicate that tobacco control initiatives targeting youth who are questioning their sexual identities may be particularly important for preventing tobacco use initiation. This study reinforces the importance of measuring diversity within the LGBTQ + community for tobacco use research, and highlights how inclusive measurement can inform more precise tobacco control interventions.

Background: Past research has found significant nicotine use disparities for reservation-area American Indian adolescents when compared to national levels. However, adolescent nicotine use has changed markedly, with reduced smoking and rapid increases in nicotine vaping. This study presents 2021-2022 prevalence estimates of tobacco product use, perceived harm and availability for reservation-area American Indian youth, with comparisons to the Monitoring the Future (MTF) national study.

Methods: Participants were 8th, 10th and 12th grade students. American Indian data were 33 reservation-area schools in 2021-2022 (n=2420); MTF data were 308 schools in Spring 2022 (n=31,438). Measures were lifetime, 30-day cigarette smoking, smokeless tobacco use, and nicotine vaping; past-year nicotine vaping; daily smoking; perceived harmfulness and availability of these tobacco products. Prevalence and 95% confidence intervals were computed by grade.

Results: Estimated prevalence of lifetime, monthly and daily cigarette smoking among American Indian 8th and 10th graders was higher than national levels. Nicotine vaping prevalence was similar between samples. American Indian students were less likely to report tobacco product use poses great risk, but also less likely to report tobacco products are easily available.

Conclusions: Although estimated smoking prevalence among American Indian 8th and 10th graders was higher than national levels, prevalence appears lower than reported in earlier studies, suggesting declining disparities. Prevalence of nicotine vaping among reservation-area American Indian adolescents generally mirrors the national population; however, a lower percentage reported regular nicotine vaping poses a serious risk. This discrepancy suggests a need for prevention and intervention efforts culturally tailored for this population.

Introduction: Alaska Native and American Indian (ANAI) people have a smoking prevalence of 23%. Nicotine metabolite ratio (NMR) and genetic testing may enable tailored selection of tobacco cessation medication.

Aims and methods: The purpose of this study was to evaluate the relative contributions of NMR, cessation medication, demographics, and tobacco use history to cessation. Participants were recruited into an observational cohort study consisting of a baseline visit prior to their quit date and 6-week follow-up. Demographic and tobacco use surveys and blood, urine, and breath samples were collected at each visit. Electronic health records were queried for cessation medications. NMR was categorized into slow or normal nicotine metabolism phenotypes (<0.31 and ≥ 0.31, respectively). The main outcome was cessation at 6 weeks. Analyses consisted of descriptive statistics, medication and phenotype concordance, and estimates of relative risk (RR) of quitting.

Results: We enrolled 151 ANAI adults who smoked cigarettes daily. Two-thirds had normal nicotine metabolism phenotype. Retrospective medication and phenotype concordance was 39%. The overall quit rate was 25%. No demographic factors or tobacco use history were associated with quit success. Varenicline and bupropion increased the likelihood of quitting (RR = 2.93 [1.42, 6.03] and RR = 2.52 [1.12, 5.64], respectively) compared to nicotine replacement therapy. Non-optimal medication and phenotype concordance decreased likelihood of quit success (RR = 0.44 [0.22, 0.91]) compared to optimal concordance.

Conclusions: This exploratory study found associations between quit success and tobacco cessation medication as well as medication and phenotype concordance. Additional research is needed to assess use of NMR for treatment selection among ANAI people.

Implications: These results broadly support additional community-engaged research to improve medication and phenotype concordance in tribal health settings. Such future research on implementing meditcation and phenotype concordance holds promise to improve expectations, quit success, and health outcomes amongst individuals attempting to quit smoking.

Background: Detailed estimates of disparities in cigarette smoking across single- and multi-race groups and their intersections with ethnicity are lacking. This study estimates the prevalence of self-reported current smoking among intersecting adult race-ethnicity groups in the United States.

Methods: The analysis uses 2018-2019 data from the Tobacco Use Supplement - Current Population Supplement (TUS-CPS; n=137,471). Self-reported Hispanic origin and race were recoded into 19 mutually-exclusive race by ethnicity intersecting groups. Weighted race-ethnicity group smoking prevalence were compared to the overall population prevalence and one another.

Results: Compared to the US population current smoking prevalence (11.4% [95% CI=11.2%-11.6%]), smoking was particularly higher in non-Hispanic American Indian/Alaska Native (AI/AN) groups (20.7% [95% CI=17.8%-24.0%]) and non-Hispanic multiracial AI/AN/White (24.4% [95% CI = 20.3%-29.1%]) and AI/AN/Black (22.4% [95% CI = 14.4%-33.2%]) groups. Non-Hispanic single-race Asian (5.0% [95% CI = 4.4%-5.6%]) and Hispanic single-race White (7.2% [95% CI = 6.7%-7.7%]) smoking prevalence undercut the overall US population prevalence. In pairwise comparisons, smoking prevalence was higher in various non-Hispanic single- and multi-race AI/AN groups than non-AI/AN groups and was lower in various Hispanic groups than non-Hispanic groups.

Conclusion: Smoking prevalence disparities are not monolithic across complex diversity of race and ethnicity in the US. Accurate identification of priority populations in need of targeted tobacco control efforts may benefit by acknowledging multinomial heterogeneity across intersecting racial and ethnic identities.

Implication: Understanding racial and ethnic disparities in cigarette smoking can inform national strategies for reducing health inequities. This study examines cigarette smoking disparities among 19 adult intersecting race-ethnicity groups in the United States using the 2018-2019 TUS-CPS data. Results show higher smoking rates in some non-Hispanic American Indian/Alaska Native and Black groups, while lower rates are seen in Asian and Hispanic individuals. These findings emphasize the need for disaggregated data to tackle smoking disparities and guide targeted prevention efforts.

Introduction: Innovative smoking cessation approaches that overcome barriers such as traveling to program site or that require the staff and infrastructure for sustaining are likely needed to improve smoking quit rates among American Indian (AI) peoples in the United States. In this study, qualitative methods identified recommendations from AI peoples to guide alignment of an evidence-based smoking cessation smartphone app (i.e., QuitGuide) to the culture and needs of AI persons.

Methods: Semi-structured interviews were conducted with AI adults who smoke (n = 40) and with public health professionals (n = 6). Questions included: "The app asks if something triggered you to slip and lists several options. What options were you expecting to see on this list?" as well as how to make the app more engaging such as "What would make the app more helpful for AI peoples, like you, who want to quit smoking?." Constant comparative techniques were used to develop codes and themes.

Results: Loss, grief, and not accessing traditional tobacco were put forward as smoking triggers to be addressed in the app. Features that help users connect with and learn about AI cultures and promote healing, such as encouraging traditional tobacco use, being in community, embracing Native spirituality, and participating in cultural crafting were recommended. Some noted the need to motivate AI peoples to think about legacy and ability to care for younger generations and Indigenizing the app with Native imagery.

Conclusions: Themes pointed towards promotion of strengths-based factors, such as healing, cultural connectedness and traditional tobacco use, in the app.

Implications: Results will be used to culturally align a smartphone app for smoking cessation among AI peoples and may be insightful for other tribal, federal, and state public health efforts aimed at advancing health equity for AI peoples.

Introduction: American Indian (AI) people experience a disproportionate tobacco and marijuana burden which may have been exacerbated by the COVID-19 pandemic. Little is known about the tobacco and marijuana habits of American Indian individuals during the COVID-19 pandemic. The objective of this study is to examine tobacco and marijuana use as well as change in use during the COVID-19 pandemic among the American Indian community.

Methods: This cross-sectional study analyzes survey data from a convenience sample of American Indian individuals residing in California and Oklahoma and included adults with and without cancer that resided in both rural and urban areas (n=1068).

Results: During October 2020 - January 2021, 36.0% of participants reported current use of tobacco products, 9.9% reported current use of marijuana products, and 23.7% reported increased use of tobacco and/or marijuana in the past 30 days, with no difference between those with cancer and those without cancer. Tobacco use was associated with marital status, age, employment status, COVID-19 exposure, COVID-19 beliefs, and alcohol consumption. Marijuana use was associated with COVID-19 beliefs, alcohol consumption, and income level. Increased tobacco and/or marijuana use was associated with baseline use of those products. Nearly a quarter of participants reported increased use of tobacco and/or marijuana products during the COVID-19 pandemic.

Conclusions: We observed high rates of tobacco use during the COVID-19 pandemic, consistent with other studies. Research is needed to examine whether tobacco and marijuana use will decrease to pre-pandemic levels post-pandemic or if these behaviors will persist post-pandemic. Given these findings, there is a pressing need to increase access to evidence-based tobacco and marijuana treatment services in the AI population post COVID-19 pandemic.

Introduction: We quantified the linear trend in combustible tobacco smoking among adolescents in the United States from 2014 to 2020, then compared these trends across racial and ethnic category. We also tested the effect of e-cigarette use on these trends for all youth and across racial and ethnic categories.

Methods: We pooled and analyzed seven years of National Youth Tobacco Survey (NYTS) 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 (i.e., 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, odds of combustible tobacco smoking declined by 21.5% per year for NHWs, which was significantly greater than Hispanic/Latinos (17% per year; p=0.025), NHOs (15.4% per year; p=0.01), and NHBs (5.1% per year; p<0.001), 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 ethnicity. 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.

Background: In 2023, President Biden issued an executive order requiring cost-benefit analyses for new regulations to account for distributional effects. To inform new tobacco regulations, we estimate for the first time racial and ethnic disparities in spending and outcomes associated with smoking.

Methods: With the 2008-2019 Medical Expenditure Panel Survey linked to the National Health Interview Survey, n=118 084 adults-years, logit models estimate the per cent of the top 10 health conditions attributable to smoking. Two-part regression models estimate the share of and total annual healthcare spending attributable to smoking.

Results: White adults had higher ever-smoked rates, but minority smoking adults had twice as much of their annual medical spending associated with smoking than white smoking adults, 25% vs 12% (p<0.01). minority adults who smoked had 41% (p<0.05) higher risks of multiple chronic conditions associated with smoking than white adults. While the share of white smoking adults trying to quit declined to 53% in 2019, this desire increased to 63% for minorities. From 2008-2016, smoking comprised 7.5% of the nation's spending for white adults and 10.7% for minorities (p<0.05). In 2017-2019, this declined to 2.5% of the nation's spending for white adults and 8.9% for minorities (p<0.05). For any new antitobacco regulation, the cost savings would be $134 million per year for every 100 000 minorities averted from initiating smoking, 135% more than the $57 million saved annually for 100 000 white adults averted.

Introduction: E-cigarettes and heated tobacco products (HTPs) may serve as potential options for harm reduction for smokers if they possess reward profiles similar to cigarettes. Little is known about the abuse liability of HTPs and e-cigarettes versus cigarettes in racial/ethnic minority smokers.

Methods: Twenty-two nicotine-deprived people who smoke (Black [n=12] and White [n=10]) completed three visits that included a standardized 10-puff bout followed by a 50-minute ad libitum use assessment with their usual brand cigarette (UBC), an e-cigarette, and HTP. Visits were completed in a randomized crossover design and were separated by a minimum 48-hour washout period. Assessments included plasma nicotine, Cmax, and reductions in craving and withdrawal.

Results: UBC delivered significantly greater levels of nicotine compared to the e-cigarette (p<0.001) and HTP (p<0.01) during both the standardized and ad libitum sessions. HTP delivered more nicotine than the e-cigarette during the standardized puffing session (p=0.047) but not the ad libitum session. Only craving during the standardized puffing session and not the ad libitum session showed significant differences across products (p<0.001) such that UBC resulted in the greatest reduction followed by HTP and e-cigarette.

Discussion: Despite greater nicotine delivery from the UBC compared to e-cigarette and HTP, participants reported reductions in craving and withdrawal across products, particularly following ad libitum use.

Implications: Use of participant's usual brand cigarettes (UBC) resulted in greater nicotine delivery compared to both the e-cigarette and heated tobacco product (HTP). Despite this relative difference in nicotine delivery, participants reported reductions in craving and withdrawal across products, particularly following ad libitum use. These findings suggest that in this sample of Black and White people who smoke, HTPs and e-cigarettes provided significant relief from negative symptoms that maintain smoking.

Leinberger-Jabari A, Golob MM, Lindson N, Hartmann-Boyce J.
Effectiveness of Culturally Tailoring Smoking Cessation Interventions for Reducing or Quitting Combustible Tobacco: A Systematic Review and Meta-analyses
Addiction. 2023 Dec 17. doi: 10.1111/add.16400. Epub ahead of print. PMID: 38105395.

Background and aims: Standard approaches to smoking cessation may not be as effective for certain populations, and tailoring on cultural factors could improve their effectiveness. This systematic review measured the effectiveness of culturally tailoring smoking cessation interventions on quitting or reducing smoking combustible tobacco.

Method: We searched MEDLINE, PsychInfo, Embase and Cochrane Central Register from inception to 21 June 2023 for randomized controlled trials (RCTs) of community-based, primary care or web-based interventions for smoking cessation in adults who smoked tobacco, with measurement of smoking abstinence or reduction at least 3 months following baseline. We examined comparisons between either an intensity-matched culturally tailored intervention and a non-tailored intervention or a standard non-tailored intervention and the same intervention plus a culturally tailored adjunct. We sub-grouped studies according to the level of tailoring and performed subgroup analyses where appropriate. We assessed risk of bias and certainty of evidence.

Results: We identified 43 studies, 33 of which were meta-analyzed (n = 12 346 participants). We found moderate certainty evidence, limited by heterogeneity, that intensity-matched culturally tailored cessation interventions increased quit success when compared with non-tailored interventions at 3-month follow-up or longer (n = 5602, risk ratio [RR] = 1.29 95% confidence interval [CI] 1.10, 1.51, I² = 47%, 14 studies). We found a positive effect of adding a culturally tailored component to a standard intervention compared with the standard intervention alone (n = 6674, RR = 1.47, 95% CI 1.10, 1.95, I² = 74%, 18 studies), but our certainty in this effect was low due to imprecision and substantial statistical heterogeneity.

Conclusion: Culturally tailored smoking cessation interventions may help more people to quit smoking than a non-tailored intervention. Adapting or adding cultural components to smoking cessation interventions originally developed for majority populations could improve cessation rates in populations who do not fully identify with majority cultural norms.

Introduction: Members of dual-smoker couples (in which both partners smoke) are unlikely to try to quit smoking and are likely to relapse if they do make an attempt. The purpose of this study was to investigate the feasibility, tolerability, and preliminary outcomes of dyadic adaptations of financial incentive treatments (FITs) to promote smoking cessation in dual-smoker couples.

Aims and methods: We enrolled 95 dual-smoker couples (N = 190) in a three-arm feasibility RCT comparing two partner-involved FITs (single vs. dual incentives) against a no-treatment control condition. Participants in all conditions were offered nicotine replacement and psychoeducation. A 3-month follow-up provided information about retention, tolerability (ie, self-reported benefits and costs of the study), and preliminary efficacy (ie, program completion, quit attempts, point-prevalent abstinence, and joint quitting).

Results: Results suggest dyadic adaptations were feasible to implement (89% retention rate) and highly tolerable for participants (p < .001). Neither feasibility nor tolerability varied across the treatment arm. Preliminary efficacy outcomes indicated partner-involved FITs have promise for increasing smoking cessation in dual-smoker couples (OR = 2.36-13.06).

Conclusions: Dyadic implementations of FITs are feasible to implement and tolerable to participants.

Implications: The evidence that dyadic adaptations of FITs were feasible and tolerable, and the positive preliminary efficacy outcomes suggest that adequately powered RCTs formally evaluating the efficacy of dyadic adaptations of FITs for dual-smoker couples are warranted.

Introduction: Over the past decade, youth e-cigarette use has risen exponentially. At the same time, digital media use increased markedly while the use of traditional broadcast TV declined. In response, the U.S. Food and Drug Administration's The Real Cost public education campaign shifted to communicating the harms of e-cigarette via primarily digital and social platforms. This study evaluated longitudinal associations between exposure to campaign advertisements and changes in campaign-specific beliefs among US youth.

Methods: A nationally representative longitudinal cohort of youth (aged 11-16 years at baseline) was surveyed five times. Building on earlier work, we analyzed data from the last three waves (April-July 2020; January-April 2021; and August-October 2021; N = 2625). We assessed self-reported exposure to six ads and agreement with 11 beliefs that were each targeted by one or more ads. Eleven weighted panel regression models assessed whether ad exposure predicted changes in campaign-specific beliefs over time.

Results: We observed significant associations between ad exposure and increases in at least one campaign-specific belief for five of the six ads. Across the 11 beliefs, we observed associations between increased exposure and increases in 6 beliefs related to e-cigarettes and toxic metals, lung damage, dangerous ingredients, anxiety, cigarette use, and disappointing important people.

Conclusions: We found evidence that self-reported exposure to this digital and social media campaign was successful at influencing youth, providing support for the effectiveness of the campaign's adaption to address youth's changes in tobacco and media use habits.

Implications: The Food and Drug Administration's The Real Cost public education campaign educates youth about the dangers of e-cigarette use. This study evaluates longitudinal associations between exposure to The Real Cost's advertisements and changes in campaign-specific beliefs among youth. Considering evolving trends in youth media consumption, the campaign adapted its media approach to increase delivery across digital and social media platforms. Our findings indicate that the campaign reached its intended audience and increased youth beliefs around the harm of e-cigarettes and the consequences of e-cigarette use, offering evidence for the effectiveness of digital and social media youth prevention efforts within a fragmented digital environment.