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ImportanceLittle is known about whether concurrent use of tobacco and cannabis is associated with higher or lower levels of mental health problems than use of either substance alone among youths.ObjectiveTo examine the association between concurrent use of tobacco and cannabis and mental health problems in a national sample of US youths.Design, setting, and participantsThis cross-sectional study analyzed publicly available wave 6 data within the Population Assessment of Tobacco and Health (PATH) Study, a nationally representative cohort study of US youths aged 14 to 17 years, collected from March to November 2021. This analysis used wave 6 single-wave weights to obtain statistically valid estimates for cross-sectional analyses generalizable to the wave 4 cohort sample. Data were analyzed from November 15, 2023, to April 20, 2024.ExposurePast 30-day use of any tobacco and cannabis products was self-reported and categorized into 4 exclusive patterns: concurrent, tobacco only, cannabis only, and nonuse.Main outcomes and measuresSelf-reported past-year internalizing and externalizing mental health problems were measured using the modified version of the Global Appraisal of Individual Needs-Short Screener and separately categorized into 3 levels: low (0-1 symptoms), moderate (2-3 symptoms), and high (≥4 symptoms).ResultsA total of 5585 youths were included in the study, with a weighted proportion of 51.3% being male and 72.5% aged 15 to 17 years. In terms of race and ethnicity, 1606 youths (25.7%) were Hispanic, 626 (12.7%) were non-Hispanic Black, 2481 (50.5%) were non-Hispanic White, and 555 (11.0%) were non-Hispanic other. The prevalence of concurrent use (3.4% [95% CI, 2.9%-4.0%]) was comparable to tobacco-only use (3.9% [95% CI, 3.2%-4.6%]), but greater than cannabis-only use (2.5% [95% CI, 2.1%-2.9%]). High levels of internalizing and externalizing problems were most common for the concurrent use group (internalizing: 47.4% [95% CI, 39.2%-55.9%]; externalizing: 61.6% [95% CI, 54.1%-68.7%]), followed by the cannabis-only use group (internalizing: 44.8% [95% CI, 35.7%-54.1%]; externalizing: 48.5% [95% CI, 39.1%-57.9%]), the tobacco-only use group (internalizing: 41.4% [95% CI, 33.7%-49.5%]; externalizing: 46.3% [95% CI, 38.3%-54.5%]), and the nonuse group (internalizing: 22.4% [95% CI, 21.1%-23.8%]; externalizing: 30.4% [95% CI, 28.9%-31.9%]). After controlling for covariates in ordinal logistic regression models, concurrent use of tobacco and cannabis was associated with greater odds of reporting higher levels of externalizing problems compared with tobacco-only use (adjusted odds ratio [AOR], 1.83 [95% CI, 1.15-2.91]) and cannabis-only use (AOR, 1.85 [95% CI, 1.11-3.06]). However, there were no statistically significant differences in the odds of internalizing problems between concurrent use and use of tobacco or cannabis alone.Conclusions and relevanceIn this cross-sectional study of the PATH Study wave 6 youth data, concurrent use of tobacco and cannabis was linked to higher levels of externalizing mental health problems than use of single substances, indicating a potential need to combine mental health support with tobacco and cannabis cessation interventions for youths.

PurposeCo-use of tobacco and cannabis is a common and complex behavior. The lack of harmonized measures of co-use yields confusion and inconsistencies in synthesizing evidence about the health effects of co-use. We aimed to classify co-use patterns based on temporal proximity and describe preferred products and motives for each pattern in order to improve co-use surveillance.MethodsWe conducted semi-structured interviews in a sample of 34 young adults (Mage = 22.8 years, 32.4 % female) during 2017-2019 in California, USA. We employed a qualitative thematic analysis to identify timing, reasons, and contexts for tobacco and cannabis co-use and classify co-use patterns.ResultsFour emergent patterns of co-use with increasing temporal proximity between tobacco use and cannabis use were: Same-month different-day co-use (Pattern 1); Same-day different-occasion co-use (Pattern 2); Same-occasion sequential co-use (Pattern 3); and Same-occasion simultaneous co-use (Pattern 4). Participants used various product combinations within each pattern. Similar motives for all patterns were socialization, product availability, and coping with stress/anxiety. Unique motive for temporally distant patterns (Patterns 1 and 2) was seeking substance-specific effects (e.g., stimulant effect from nicotine, relaxation effects from cannabis), while unique motives for temporally close patterns (Patterns 3 and 4) were seeking combined effects from both substances (e.g., more intense psychoactive effects, mitigating cannabis adverse effects) and behavioral trigger (e.g., cannabis use triggers tobacco use).ConclusionsOur classification of co-use patterns can facilitate consistency for measuring co-use and assessing its health impacts. Future research should also measure product types and motives for different patterns to inform intervention efforts.

California Proposition 56 increased the state tobacco tax by $2 per cigarette pack effective April 1, 2017. Between 2015-2020 San Francisco (SF) and some cities in Alameda County enacted local flavored tobacco sales restrictions. SF also increased its Cigarette Litter Abatement Fee, from $0.20/pack in 2015 to $1.00 in 2020. Compare the change in tobacco prices before (2015) and after (2019/20) the implementation of a $2 increase in tobacco excise tax and local flavored tobacco policies in SF and Alameda Counties. Descriptive study of the pre-to-post policy analysis design. We drew a proportional random sample of retailers (N=463) in SF and Alameda Counties, by city. Using multivariable, single- and multiple-level linear regressions, we compared inflation-adjusted average tobacco prices in 2015 vs. 2019/20 by county and by flavor policy, accounting for socio-demographics. Change in inflation-adjusted average tobacco prices in 2015 vs. 2019/20 by county and flavor policy, accounting for socio-demographics. Between 2015-2019/20, the increase in cigarette prices was higher than the $2 tax increase, and higher in SF than Alameda County (+$4.6 vs +$2.5). SF retailers stopped selling Newport menthol cigarettes and Blu brand menthol e-cigarettes in 2019/20. Adjusted average cigarette prices increased significantly more in SF and Alameda County cities with comprehensive or partial flavor policies versus cities without flavor policies (by $3.23 and $2.11). Local flavor policies affected menthol product availability and may have had positive spillover effects and indirectly increased pack prices.

PurposePerceived harm is associated with substance use. Changes in product and policy landscapes may impact perceived harms of tobacco and cannabis. This study aimed to examine changes in young adults' perceived harms of tobacco and cannabis and their associations with use behavior during a period including both before and after legalization of cannabis.MethodsWe conducted a panel survey of California Bay Area young adults (mean age = 23.5 years old, 64.4% female) in 2014 and 2019-2020. Participants (N = 306) reported past 30-day use and perceived harms of tobacco and cannabis at both waves. Perceived harms to health of cannabis and tobacco (cigarettes, e-cigarettes, hookah, smokeless tobacco, and secondhand tobacco smoke) were measured from 1-"Not at all harmful" to 7-"Extremely harmful." Mixed-effects logistic regressions examined associations between perceived harms and use of tobacco and cannabis, controlling for demographics.ResultsParticipants perceived lower harm for cannabis than for tobacco products. Perceived harms of e-cigarettes, hookah, and smokeless tobacco significantly increased over time; while perceived harms of cigarettes, secondhand tobacco smoke, and cannabis did not change. Increased perceived harm of e-cigarettes was associated with lower odds of any tobacco use (OR = 0.72, 95%CI = 0.56, 0.92), and increased perceived harm of cannabis was associated with lower odds of any cannabis use (OR = 0.51, 95%CI = 0.42, 0.62).ConclusionsFindings suggest that perceived harms of e-cigarettes and cannabis play important roles in driving young adult use behaviors. Risk communication efforts that increase perceptions of health harms related to e-cigarettes and cannabis may decrease use of tobacco and cannabis among young people.

ObjectiveTo describe how young adults use electronic cigarettes (electronic nicotine delivery systems (ENDS)) for smoking cessation and reasons why they may or may not successfully quit smoking.MethodsLongitudinal qualitative data were collected annually from 2017 to 2019 for 25 young adult tobacco users (aged 18-29 years) in California (USA) who used ENDS to quit/reduce smoking. Thematic and trajectory analyses were used to identify key within-person and between-person changes in tobacco/nicotine use over time.ResultsFive types of tobacco use transition were identified among baseline dual users of cigarettes and ENDS: sustained dual use without reduced smoking (n=8), transition to exclusive daily ENDS use (n=6), sustained dual use with reduced smoking (n=5), transition back to exclusive smoking (n=4) and transition to neither smoking nor vaping (n=2). Participants' ENDS use behaviour varied over time in terms of vaping quantity and device characteristics (eg, changing nicotine concentrations/flavours, switching between multiple devices). Three themes that related to successfully replacing cigarettes with ENDS were perceived positive physical effects, perceived satisfaction and enjoyment and context changes. Four themes for unsuccessful replacement were perceived negative physical discomforts, perceived addictiveness and harm, unsatisfactory substitution for cigarettes and device malfunction.ConclusionsYoung adults' experiences with using ENDS as a smoking cessation aid were highly variable. Adequate nicotine delivery and perceived safety and benefits contributed to successfully reducing or quitting cigarettes. Providing behavioural counselling and standardising ENDS products may enhance cessation for young adults.

BackgroundCo-use of tobacco and cannabis is highly prevalent among young US adults. Same-day co-use of tobacco and cannabis (ie, use of both substances on the same day) may increase the extent of use and negative health consequences among young adults. However, much remains unknown about same-day co-use of tobacco and cannabis, in part due to challenges in measuring this complex behavior. Nuanced understanding of tobacco and cannabis co-use in terms of specific products and intensity (ie, quantity of tobacco and cannabis use within a day) is critical to inform prevention and intervention efforts.ObjectiveWe used a daily-diary data collection method via smartphone to capture occurrence of tobacco and cannabis co-use within a day. We examined (1) whether the same route of administration would facilitate co-use of 2 substances on the same day and (2) whether participants would use more tobacco on a day when they use more cannabis.MethodsThis smartphone-based study collected 2891 daily assessments from 147 cigarette smokers (aged 18-26 years, n=76, 51.7% female) during 30 consecutive days. Daily assessments measured type (ie, cigarette, cigarillo, or e-cigarette) and intensity (ie, number of cigarettes or cigarillos smoked or number of times vaping e-cigarettes per day) of tobacco use and type (ie, combustible, vaporized, or edible) and intensity (ie, number of times used per day) of cannabis use. We estimated multilevel models to examine day-level associations between types of cannabis use and each type of tobacco use, as well as day-level associations between intensities of using cannabis and tobacco. All models controlled for demographic covariates, day-level alcohol use, and time effects (ie, study day and weekend vs weekday).ResultsSame-day co-use was reported in 989 of the total 2891 daily assessments (34.2%). Co-use of cigarettes and combustible cannabis (885 of the 2891 daily assessments; 30.6%) was most commonly reported. Participants had higher odds of using cigarettes (adjusted odds ratio [AOR] 1.92, 95% CI 1.31-2.81) and cigarillos (AOR 244.29, 95% CI 35.51-1680.62) on days when they used combustible cannabis. Notably, participants had higher odds of using e-cigarettes on days when they used vaporized cannabis (AOR 23.21, 95% CI 8.66-62.24). Participants reported a greater intensity of using cigarettes (AOR 1.35, 95% CI 1.23-1.48), cigarillos (AOR 2.04, 95% CI 1.70-2.46), and e-cigarettes (AOR 1.48, 95% CI 1.16-1.88) on days when they used more cannabis.ConclusionsTypes and intensities of tobacco and cannabis use within a day among young adult smokers were positively correlated, including co-use of vaporized products. Prevention and intervention efforts should address co-use and pay attention to all forms of use and timeframes of co-use (eg, within a day or at the same time), including co-use of e-cigarettes and vaporized cannabis, to reduce negative health outcomes.

BackgroundLittle is known about whether people who use both tobacco and cannabis (co-use) are more or less likely to have mental health disorders than single substance users or non-users. We aimed to examine associations between use of tobacco and/or cannabis with anxiety and depression.MethodsWe analyzed data from the COVID-19 Citizen Science Study, a digital cohort study, collected via online surveys during 2020-2022 from a convenience sample of 53,843 US adults (≥ 18 years old) nationwide. Past 30-day use of tobacco and cannabis was self-reported at baseline and categorized into four exclusive patterns: tobacco-only use, cannabis-only use, co-use of both substances, and non-use. Anxiety and depression were repeatedly measured in monthly surveys. To account for multiple assessments of mental health outcomes within a participant, we used Generalized Estimating Equations to examine associations between the patterns of tobacco and cannabis use with each outcome.ResultsIn the total sample (mean age 51.0 years old, 67.9% female), 4.9% reported tobacco-only use, 6.9% cannabis-only use, 1.6% co-use, and 86.6% non-use. Proportions of reporting anxiety and depression were highest for the co-use group (26.5% and 28.3%, respectively) and lowest for the non-use group (10.6% and 11.2%, respectively). Compared to non-use, the adjusted odds of mental health disorders were highest for co-use (Anxiety: OR = 1.89, 95%CI = 1.64-2.18; Depression: OR = 1.77, 95%CI = 1.46-2.16), followed by cannabis-only use, and tobacco-only use. Compared to tobacco-only use, co-use (OR = 1.35, 95%CI = 1.08-1.69) and cannabis-only use (OR = 1.17, 95%CI = 1.00-1.37) were associated with higher adjusted odds for anxiety, but not for depression. Daily use (vs. non-daily use) of cigarettes, e-cigarettes, and cannabis were associated with higher adjusted odds for anxiety and depression.ConclusionsUse of tobacco and/or cannabis, particularly co-use of both substances, were associated with poor mental health. Integrating mental health support with tobacco and cannabis cessation may address this co-morbidity.

IntroductionChildren's exposure to secondhand smoke is an underaddressed public health threat. The Clinical Effort Against Secondhand Smoke Exposure (CEASE) is a validated framework that trains pediatric providers to screen, counsel, refer to quitlines, and prescribe tobacco cessation medications to adult caregivers of children.MethodsA physician champion at a major urban academic center delivered a longitudinal didactic curriculum of CEASE principles to medical and nurse practitioner students and pediatrics and family medicine residents. At the end of each session, participants completed an anonymous survey measuring changes in self-perceived knowledge, comfort, and familiarity with smoking cessation skills and concepts. Using a separate end-of-year questionnaire, we also surveyed a group of pediatric residents to compare the impact of CEASE training on clinical practice. Finally, we tracked the number of referrals to the state's quitline for the duration of the training.ResultsFifty-two trainees (55% students, 45% residents) responded to the evaluation survey administered immediately following training. There were statistically significant improvements in median scores after CEASE training for comfort in screening, counseling, motivational interviewing, referring to smokers' helplines, and providing caregivers with nicotine replacement therapy (NRT) prescriptions. Fifty-one percent of pediatric residents (41 of 80) responded to the end-of-year survey, which showed statistically significant differences in the number of patients/caregivers offered a referral to California's quitline and prescription of NRT according to completion of CEASE training.DiscussionCEASE training successfully improved the self-efficacy of health professions students and residents in smoking cessation techniques for adult caregivers of children.

We examined flavored non-cigarette tobacco availability in brick-and-mortar vape shops in San Francisco (SF) and Alameda Counties, California (USA), comparing cities organized by flavored tobacco sales restriction policy. A total of 22 brick-and-mortar vape shops were identified and audited in October-November 2019; shops were located in SF City-County and nine cities in Alameda County. Fisher Exact Tests were used to assess differences in the availability of products between vape shops in cities with versus without comprehensive or partial flavored tobacco sales restrictions enacted before November 21, 2019 (n = 15 shops in six cities with policies vs n = 7 shops in four cities without policies). In the six cities with any flavored sales restrictions, fewer vape shops sold menthol/mint flavored JUUL pods (27% vs 71%, p = 0.074), candy/fruit (53% vs 100%, p = 0.051) and menthol/mint (53% vs 100%, p = 0.051) nicotine e-cigarette liquids compared to cities without flavored tobacco sales restrictions, but results were borderline significant. Tobacco-flavored JUUL pods (47% vs 71%, p = 0.381), tobacco-flavored nicotine e-cigarette liquids (67% vs 100%, p = 0.135), and flavored e-cigarette liquids without nicotine (candy/fruit: 87% vs 71%, p = 0.565 and menthol/mint: 87% vs 57%, p = 0.274) were not included in the policies, and availability was not significantly different between cities with or without policies. Enactment of local policies was associated with lower flavored e-cigarette tobacco product availability but not tobacco-flavored or non-nicotine product availability; federal policies restricting sales of flavored tobacco products may reduce access to flavored e-cigarette products in vape shops.

Background: The COVID-19 pandemic has been accompanied by increases in cannabis consumption, which might relate to dispensary marketing activities. As part of an ongoing project monitoring cannabis dispensary websites in Northern California and Reno, Nevada, we noticed many websites added announcements and "pop-up" communications in response to lockdowns. This brief report describes the cannabis dispensary website communications related to COVID-19 with the aim to provide insight into emerging marketing messages that may increase cannabis consumption in times of crisis. Methods: Content analysis of COVID-19 announcements present on cannabis dispensary websites in San Francisco/Alameda Counties (n = 32), and the Reno area (n = 15) in April-May 2020 shortly after lockdowns were implemented. Results: COVID-19 announcements were present on 25/32 (78%) of dispensary websites in San Francisco/Alameda and 9/15 (60%) of websites in the Reno area. Almost all COVID-19 announcements (88% San Francisco/Alameda, 89% Reno) announced operational changes such as delivery or curbside pickup services, 72% and 56% respectively announced patron/employee safety measures. Health related messages were present; about half of website announcements referred to government/health authorities, 44% of Reno area announcements used healthcare rhetoric, and some San Francisco/Alameda announcements included suggestions for using cannabis to mitigate infection risk or manage anxiety. Conclusions: Most cannabis dispensaries in the study region implemented COVID-19 pandemic operational changes to maintain product availability, and many positioned their identity with health - either by referring to health authorities, or using health rhetoric, and a minority gave health advice. Cannabis dispensary websites provide a timely snapshot of marketing practices that may contribute to increases in cannabis use during stressful events.

Heterogeneity in the clinical presentation of SARS-CoV-2 infection and COVID-19 progression underscores the urgent need to identify individual-level susceptibility factors that affect infection vulnerability and disease severity. Tobacco product use is a potential susceptibility factor. In this Personal View, we provide an overview of the findings of peer-reviewed, published studies relating tobacco product use to SARS-CoV-2 infection and COVID-19 outcomes, with most studies focusing on cigarette smoking in adults. Findings pertaining to the effects of tobacco product use on the incidence of SARS-CoV-2 infection are inconsistent. However, evidence supports a role for cigarette smoking in increasing the risk of poor COVID-19 outcomes, including hospital admission, progression in disease severity, and COVID-19-related mortality. We discuss the potential effects of tobacco use behaviour on SARS-CoV-2 transmission and infection, and highlight the pathophysiological changes associated with cigarette smoking that could promote SARS-CoV-2 infection and increased disease severity. We consider the biological mechanisms by which nicotine and other tobacco product constituents might affect immune and inflammatory responses to SARS-CoV-2 infection. Finally, we identify current knowledge gaps and suggest priorities for research to address acute and post-acute health outcomes of COVID-19 during and after the pandemic.

Cannabis use may confer high COVID-19 risk. This study examined self-reported changes in cannabis use that US adults attributed to the pandemic and factors associated with any changes. We conducted a national, cross-sectional survey among US adults in August 2020. The analytic sample included 957 past-year cannabis users (Mage = 43 years old; 51% male). Weighted multinomial regression examined associations between forms and reasons of cannabis used, perceived addictiveness and safety, co-use of cannabis with tobacco/alcohol, state legalization, and the outcome (self-reported increase/decrease in cannabis use vs. no change). Overall, 14.8% reported decreasing cannabis use due to the pandemic, 16.1% reported increasing, and 65.4% reported not changing. Factors associated with increased cannabis use included past-year use of vaporized (AOR = 1.7, 95% CI = 1.0, 3.0) or edible cannabis (AOR = 2.4, CI = 1.3, 4.3), and simultaneous use of cannabis and tobacco (AOR = 2.6; CI = 1.4, 5.2). Young adults (18-29 years old) had higher odds of self-reporting both increased (AOR = 4.8; CI = 1.8, 13.1) and decreased use (AOR = 3.3; CI = 1.5, 7.5). The pandemic has had a mixed impact on cannabis use, with participants reporting both increased and decreased use. Efforts may target users of vaporized and edible cannabis, co-users of cannabis and tobacco, and young adults to prevent increased cannabis use during the pandemic.

PurposeDescribe racial/ethnic patterns of flavored tobacco use to illuminate equity implications of flavored tobacco policies.MethodsUsing data on US young adults (ages 18-34; n = 8,114) in the Population Assessment of Tobacco and Health Study Wave 5 (2018-2019) and survey-weighted logistic regression, we estimated any flavors (regular brand) and mint/menthol (vs. other flavors) use by race/ethnicity among cigarette, e-cigarette, cigar, blunt, hookah, smokeless tobacco, and any tobacco product users.ResultsAny flavored tobacco use was common and was significantly higher for Black (75.1%; OR: 1.4; 95% CI: 1.2, 1.7) and Hispanic/Latinx (77.2%; OR: 1.4; 95% CI: 1.1, 1.7) users than White users (73.5%). The most pronounced difference across products was in menthol cigarette use between Black and White smokers (OR: 4.5; 95% CI: 3.5, 5.9). Among flavored product users, mint/menthol use was significantly higher for Latinx blunt and hookah users.DiscussionRacial/ethnic disparities in flavored tobacco use include and extend beyond menthol cigarettes. Comprehensive flavored tobacco restrictions that include mint/menthol and non-cigarette products will likely have more equitable impact.

Introduction: Many cannabis dispensaries market and sell their products online through websites designed to attract and maintain customers; often, these websites incorporate a variety of product claims and other marketing tactics. This study evaluated website content, product pricing and discounts on dispensary websites in California and Nevada, states that legalized recreational cannabis in 2016. Methods: We content coded product availability, marketing claims and discounts on cannabis dispensary websites in the San Francisco Bay Area (N = 34) and Reno (N = 15) from March to June 2020 using a web crawler to scrape pricing information for four product types. We conducted bivariate analyses comparing both locations. Results: Prices were significantly lower for flower, edibles, and concentrates in Reno compared to the Bay Area, but not cartridges. In both areas, a range of marketing claims were made regarding the health effects of certain products. The most common were that cannabis products treated pain, nausea/vomiting, spasms, anxiety, insomnia, and depression. Products were also said to promote creativity and euphoria. Other marketing claims related to potency, pleasure enhancement, and improved social interactions. Discounts targeted to senior citizens and veterans were found on over half of all websites. Conclusions: Dispensary websites in the Bay Area and Reno frequently make health-related claims which should not be allowed in absence of scientific evidence. Non-health related claims are similar to those used for selling e-cigarettes and other tobacco products. Monitoring cannabis dispensary websites provides insight into local sales tactics and may help identify subpopulations for research on behavioral impacts of cannabis marketing activities.

ObjectivesCannabis use is common among people who use tobacco. However, little is known about the relationship between change in use of tobacco and cannabis over time. We examined the longitudinal associations between use of the two substances in a realworld smoking cessation context.MethodsThis study analyzed data from a 3-month smoking cessation program delivered via Facebook in the San Francisco Bay Area, USA during 2016-2020. The sample included 487 participants who smoked cigarettes ( Mage = 25.4 years old, 39.6% Male, 40.3% White). The regressors (ie, frequency or number of days during the past 30 days using cigarettes, e-cigarettes, and cigars) and the outcome (ie, frequency of cannabis use) were measured at both baseline and 3-month follow-up. Random-effects modeling examined the longitudinal associations between the regressors and the outcome controlling for alcohol use and baseline demographics.ResultsParticipants who increased (or decreased) their frequency of use of cigarettes (β = 0.17, 95% confidence interval [CI] = 0.10, 0.24), e-cigarettes (β = 0.11, 95% CI = 0.05, 0.17), or cigars (β = 0.19, 95% CI = 0.06, 0.32) also increased (or decreased) their frequency of cannabis use after 3 months. Sexual minority participants (vs heterosexuals) (β = 2.12, 95% CI = 0.01, 4.24) and those whose education attainment being high school or less (vs higher education) (β = 3.89, 95% CI = 1.25, 6.53) were more likely to increase their frequency of cannabis use over time.ConclusionsThe findings indicated positive associations between change in use of tobacco and cannabis use. Promoting cessation among people who use tobacco may help to reduce their cannabis use.

ObjectiveThis study examined differences in the availability and advertising of flavored tobacco products before and after flavored tobacco sales restrictions were enacted in Alameda and San Francisco Counties in California.Main outcome measuresData were collected from a sample of tobacco retailers in Alameda and San Francisco Counties at two time points: 2015, before flavored tobacco policies were enacted, and in 2019-2020, after some cities had enacted policies. Retailers were separated by city into Category 1 (n = 442)-retailers in cities that enacted a flavored tobacco policy between the two data collection periods, and Category 2 (n = 89), those that had not. Means comparison tests were conducted to evaluate significant differences over time and by category.ResultsThere was significantly reduced availability of menthol cigarettes, flavored little cigars, smokeless tobacco, vape pens, and Blu brand menthol e-cigarettes between 2015 and 2020 in Category 1 retailers. Category 2 retailers had reduced availability only for Blu menthol e-cigarettes and demonstrated an increase in smokeless tobacco availability. Exterior store advertising for cigarettes, little cigars, cigars, and e-cigarettes also decreased significantly in Category 1 cities relative to Category 2 cities; 8.1% of Category 1 stores were advertising flavored tobacco products in 2019-2020 compared to 36.2% of Category 2 stores. There was also a 78% reduction in flavored ads between 2015-2019 in Category 1 cities compared to a 38% decrease in Category 2 cities. Tobacco advertising inside Category 2 stores increased. Finally, Category 2 cities had significantly greater availability of cigalikes, mod or tank vapes, flavored e-cigarettes, and e-liquids compared to Category 1 cities.ConclusionsComprehensive flavored sales restriction policies reduce flavored tobacco availability and tobacco advertising, which may help prevent youth tobacco initiation and exposure.

BackgroundAdolescent and young adult use of electronic nicotine delivery systems ("vaping") has increased rapidly since 2018. There is a dearth of evidence-based vaping cessation interventions for this vulnerable population. Social media use is common among young people, and smoking cessation groups on social media have shown efficacy in the past. The objective of this study is to describe the protocol for a randomized controlled trial (RCT) testing the efficacy of an Instagram-based vaping cessation intervention for adolescents and young adults.MethodsAdolescents and young adults aged 13-21 residing in California who have vaped at least once per week in the past 30 days will be recruited through social media ads, community partners, and youth serving organizations. Participants will be randomly assigned to intervention or control conditions: the intervention group takes place on Instagram, where participants receive up to 3 posts per weekday for 25 days over 5 weeks; the control group will be directed to kickitca.org, a website offering links to chatline and texting cessation services operated by the California Smokers' Helpline. The primary outcome is biochemically verified 7-day point prevalence abstinence for nicotine vaping; secondary outcomes are vaping reduction by 50% or more, vaping quit attempts, readiness to quit vaping, confidence in ability to quit, desire to quit, commitment to abstinence, and use of evidence-based cessation strategies. Both the primary outcome and secondary outcomes will be assessed immediately, 3 months, and 6 months after the treatment.DiscussionThis is the first RCT to test a vaping cessation intervention delivered through Instagram. If effective, it will be one of the first evidence-based interventions to address vaping among adolescents and young adults and add to the evidence base for social media interventions for this population.Trial registrationClinicalTrials.gov: NCT04707911, registered on January 13, 2021.

BackgroundSocial media offer a promising channel to deliver e-cigarette cessation interventions to adolescents and young adults (AYAs); however, interventions delivered on social media face challenges of low participant retention and decreased engagement over time. Peer mentoring has the potential to ameliorate these challenges.ObjectiveThe aim of this study was to understand, from both the mentee and potential mentor perspective, the needs, expectations, and concerns of AYAs regarding peer mentoring to inform the development of social media-based peer mentoring interventions for e-cigarette cessation among AYAs.MethodsSeven focus groups, including four mentee groups and three potential mentor groups, were conducted with 26 AYAs who had prior experience with e-cigarette use and attempts to quit in the context of a social media-based e-cigarette cessation intervention. Discussion focused on preferred characteristics of peer mentors, expectations about peer mentoring, mentoring mode, mentor training, incentives for peer mentors, preferred social media platforms for intervention delivery, supervision, and concerns. Focus group transcripts were coded and analyzed using a thematic analysis approach.ResultsOverall, participants were receptive to peer mentoring in social media-based cessation interventions and believed they could be helpful in assisting e-cigarette cessation. Participants identified the most important characteristics of peer mentors to be of similar age and to be abstinent from e-cigarette use. Participants expected peer mentors would share personal experiences, provide emotional support, and send check-ins and reminders. Peer mentors supporting a group of mentees in combination with one-on-one mentoring as needed was the preferred mentoring mode. A group of 10 mentees with a mentor:mentee ratio of 1:3-5 was deemed acceptable for most participants. Participants expressed that mentor training should include emotional intelligence, communication skills, and the scientific evidence about e-cigarettes. Although monetary incentives were not the main motivating factor for being a peer mentor, they were viewed as a good way to compensate mentors' time. Instagram was considered an appropriate social media platform to deliver a peer-mentored intervention due to its functionality. Participants did not express many privacy concerns about social media-based peer mentoring, but mentioned that boundaries and community agreements should be set to keep relationships professional.ConclusionsThis study reflects the needs and preferences of young people for a peer mentoring intervention to complement a social media program to support e-cigarette cessation. The next step will be to establish the feasibility, acceptability, and preliminary efficacy of such a peer mentoring program.

The prevalence of smoking among young adults aged 19-28 years old in the United States persists at rates of 14.3%. Young adults underutilize pharmacotherapy for smoking cessation, and the use of e-cigarettes has increased. We analyzed comments from online smoking-cessation support groups to understand young-adult smokers' views of pharmacotherapy and e-cigarettes, to provide a more in-depth insight into the underutilization of pharmacotherapy. A qualitative analysis was performed on comments about pharmacotherapy and e-cigarettes from participants enrolled in online smoking-cessation support groups in 2016-2020. A codebook was developed with a deductive approach to code the comments, followed by thematic analysis. Eighteen themes were identified, with four dominant themes: interest, benefit, knowledge, and flavor. Participants expressed less interest in both nicotine-replacement therapy and e-cigarettes; moreover, they expressed unfamiliarity with and misconceptions about pharmacotherapy, and recognized the enticing flavors of e-cigarettes. Participants often felt e-cigarettes were not useful for smoking cessation, but the flavors of e-cigarettes were appealing for use. Participants had mixed opinions about the use of e-cigarettes for smoking cessation, but predominantly felt e-cigarettes were not useful for smoking cessation. The use of social media may be an effective way to address misconceptions about pharmacotherapy for smoking cessation and increase willingness to accept assistance.

Purpose of reviewCancer incidence and mortality are decreasing, but inequities in outcomes persist. This paper describes the San Francisco Cancer Initiative (SF CAN) as a model for the systematic application of epidemiological evidence to reduce the cancer burden and associated inequities.Recent findingsSF CAN is a multi-institutional implementation of existing evidence on the prevention and early detection of five common cancers (i.e., breast, prostate, colorectal, liver, and lung/tobacco-related cancers) accounting for 50% of cancer deaths in San Francisco. Five Task Forces follow individual logic models designating inputs, outputs, and outcomes. We describe the progress made and the challenges faced by each Task Force after 5 years of activity.SummarySF CAN is a model for how the nation's Comprehensive Cancer Centers are ideally positioned to leverage cancer epidemiology for evidence-based initiatives that, along with genuine community engagement and multiple stakeholders, can reduce the population burden of cancer.

BackgroundMultiple drug use involves particular pleasures and risks, and is disproportionately practiced by some minority and socially marginalized groups. The unique patterns, intentions, and social contexts of multiple drug use for these groups are poorly understood.MethodsOur mixed method integrates geo-enabled smartphone survey data collection with a qualitative mapping interview method. This brief report presents data from one study participant to demonstrate this method's potential contributions to multiple drug use research for priority groups in different settings.Results'Jason's' data revealed the interrelated dynamics within his drug use repertoire and links between his substance use to rural life as a transgender person with autism spectrum disorder (ASD). Cigarettes played a role in coping with acute stress from repeatedly being misgendered. Cannabis intoxication helped manage social interactions as a person with ASD, while 'chasing' with cigarettes calibrated cannabis intoxication. Methamphetamine use related to managing body dysmorphia in a rural context with poor access to transgender health services.ConclusionThis mixed method can integrate reliable and ecologically valid assessments of multiple drug use repertoires and combination patterns with the place-embedded experiences, intersecting identities, structural barriers, and intentions related to multiple drug use for different priority groups.

BackgroundLegalization of medical and recreational cannabis in US states has been accompanied by increases in availability, acceptability, and diversity in methods of cannabis use, as well as an increase in devices and methods for cannabis-tobacco co-use. Updated and specific survey measures of cannabis and cannabis-tobacco co-use are needed.MethodsWe employed a mixed-methods approach to identify sources of specification and measurement error in cannabis and cannabis-tobacco co-use measures. We surveyed and interviewed 36 young adult (age 18-29) cannabis and tobacco co-users in California (2017-2018), triangulated with document analysis of online cannabis websites and forums. We investigated how survey reports of cannabis use and cannabis-tobacco co-use compared to narrative descriptions provided during in-depth interviews. We identify key strategies for researchers collecting self-reported survey data to enhance accuracy and comprehensiveness of measures.FindingsPotential sources of survey error included: broad variation in cannabinoid content and concentration, inconsistent interpretation of questions between participants and researchers (e.g. blunts were not considered co-use), and substantial variation in dosage within and between products. No evidence of survey recall bias or response editing was detected.ConclusionTo enhance survey accuracy, we recommend surveys specify which cannabis delivery methods and forms are included and excluded in each measure, differentiate between cannabis products, and explicitly include or exclude CBD product use.

This study evaluated whether neighborhood-level disorder, social cohesion, and perceived safety, were associated with days of cannabis use in the prior month in a representative sample of young adults in Alameda and San Francisco Counties in California (N = 1272). We used multiscale geographically weighted regression, modeled by county, to measure associations between cannabis use days and neighborhood attributes, adjusting for sociodemographic characteristics and self-rated health. Positive associations were found between number of cannabis use days and neighborhood disorder, and greater perceived safety. Higher levels of social cohesion predicted fewer cannabis use days. Racial/ethnic, sex and, socioeconomic compositions of participants residing in areas with significant neighborhood-level associations varied substantially, suggesting that risk factors for young adult cannabis use may be highly localized. Public health efforts in cannabis education and intervention should be tailored to fit the culture and composition of local neighborhoods.

Purpose. Peer crowd-targeted campaigns are a novel approach to engage high-risk young adults in tobacco use prevention and cessation. We elicited the perspectives of young adult key informants to understand how and why two social branding interventions were effective: (1) "COMMUNE," designed for "Hipsters" as a movement of artists and musicians against Big Tobacco, and (2) "HAVOC," designed for "Partiers" as an exclusive, smoke-free clubbing experience. Design. Qualitative study (27 semistructured qualitative phone interviews). Setting. Intervention events held in bars in multiple U.S. cities. Participants: Twenty-seven key informants involved in COMMUNE or HAVOC as organizers (e.g., musicians, event coordinators) or event attendees. Measures. We conducted semistructured, in-depth interviews. Participants described intervention events and features that worked or did not work well. Analysis. We used an inductive-deductive approach to thematically code interview transcripts, integrating concepts from intervention design literature and emergent themes. Results: Participants emphasized the importance of fun, interactive, social environments that encouraged a sense of belonging. Anti-tobacco messaging was subtle and nonjudgmental and resonated with their interests, values, and aesthetics. Young adults who represented the intervention were admired and influential among peers, and intervention promotional materials encouraged brand recognition and social status. Conclusion. Anti-tobacco interventions for high-risk young adults should encourage fun experiences; resonate with their interests, values, and aesthetics; and use subtle, nonjudgmental messaging.

ObjectiveSexual minority (SM) young adults have higher rates of substance use than heterosexuals, but little is known about daily use of multiple substances, which confer numerous health risks for this population. Using daily diary data from a smartphone-based study, we examined the associations between sexual identity (i.e., SM vs. heterosexual) and patterns of same-day multiple substance use (i.e., cigarettes and alcohol, cigarettes and cannabis, alcohol and cannabis, and all 3 substances).MethodYoung adult smokers (N = 147, aged 18-26, 51.7% female, 41.5% SM, 40.8% White) reported consecutive daily assessments on substance use over 30 days. We used generalized estimating equations to examine associations between sexual identity and patterns of same-day multiple substance use, controlling for demographic factors and psychological distress.ResultsOf 2,891 daily assessments, 16.7% reported same-day use of cigarettes and alcohol, 18.1% cigarettes and cannabis, 1.5% alcohol and cannabis, and 15.0% use of all 3 substances. SM participants (vs. heterosexuals) had significantly greater odds of reporting days with use of cigarettes and cannabis [Adjusted Odds Ratio (AOR) = 2.05, 95% Confidence Interval (CI) [1.04, 4.01]] and use of all three substances (AOR = 2.79, 95% CI [1.51, 5.14]) than days with single substance use or no use.ConclusionsThese findings warrant tailored interventions addressing multiple substance use among SM young adults and temporally accurate measures of multiple substance use patterns. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

IntroductionSmoking cigarettes under the influence of alcohol or cannabis is associated with perceived pleasure. However, it is unclear whether these changes in perceived reward impact the extent of concurrent use of cigarettes with alcohol or cannabis. The current study investigated if self-reported changes in perceived reward from concurrent use of cigarettes with alcohol or cannabis are related to the extent of concurrent use in real-world contexts using a smartphone-based Ecological Momentary Assessment (EMA) study.MethodsThe sample included 126 diverse young adult smokers in the San Francisco Bay Area who reported current alcohol or cannabis use at baseline (M = 22.8 years, 50.8% male, 40.5% sexual minority, 39.7% Non-Hispanic White). Participants completed an online baseline survey and 30 days of smartphone-based daily EMA surveys of cigarette, alcohol, and cannabis use. The baseline assessed self-reported changes in perceived pleasure of smoking cigarettes while using alcohol or cannabis separately. EMA surveys included detailed questions about concurrent use (i.e., the extent of smoking while using another substance) covering the previous day. A total of 2,600 daily assessments were analyzed using mixed models.ResultsHigher perceived pleasure from smoking cigarettes while drinking alcohol or using cannabis at baseline were both associated with a greater extent of concurrent use of cigarettes with alcohol (b = 0.140; SE = 0.066; t = 2.1; p = .035) and cannabis (b = 0.136; SE = 0.058; t = 2.4; p = .019) on a given day.ConclusionsResults suggest that perceived reward from concurrently using cigarettes with alcohol or cannabis is associated with the extent of concurrent use. Findings can inform tailored smoking cessation interventions.

BackgroundIn June 2018, San Francisco voters upheld the first comprehensive prohibition on sales of flavoured tobacco products (all products including menthol, everywhere in the city with no exceptions).MethodsThis paper used data collected by the San Francisco Department of Public Health as part of its implementation and enforcement of San Francisco's city-wide ban on the sale of flavoured tobacco products. Every licensed tobacco retailer was visited and inspected. The San Francisco Department of Public Health and volunteers conducted an educational campaign from September 2018 to December 2018, including emailing all licensed tobacco retailers about the law, mailing a fact sheet poster, conducting four listening sessions and visiting permitted tobacco retailers to educate them about the law and solicit questions.ResultsCompliance inspections started in December 2018, which found that compliance was 17%. Compliance increased in January 2019 and averaged 80% between January 2019 and December 2019. After the phase-in period, all retailers were visited as part of routine inspections. This effort resulted in 80% compliance.ConclusionIncluding retailer education prior to enforcement can result in compliance with a comprehensive ban on the sale of menthol and other flavoured tobacco products.

BackgroundWith the spread of COVID-19, significant concerns have been raised about the potential increased risk for electronic cigarette (e-cigarette) users for COVID-19 infection and related syndromes. Social media is an increasingly popular source for health information dissemination and discussion, and can affect health outcomes.ObjectiveThis study aims to identify the topics in the public vaping discussion in COVID-19-related Twitter posts in order to get insight into public vaping-related perceptions, attitudes and concerns, and to discern possible misinformation and misconceptions around vaping in the COVID-19 pandemic.MethodsUsing the tweets ID database maintained by Georgia State University's Panacea Lab, we downloaded the tweets related to COVID-19 from March 11, 2020, when the World Health Organization declared COVID-19 a pandemic, to February 12, 2021. We used R to analyze the tweets that contained a list of 79 keywords related to vaping. After removing duplicates and tweets created by faked accounts or bots, the final data set consisted of 11,337 unique tweets from 7,710 different users. We performed the latent Dirichlet allocation (LDA) algorithm for topic modeling and carried out a sentiment analysis.ResultsDespite fluctuations, the number of daily tweets was relatively stable (average number of daily tweets = 33.4) with a sole conspicuous spike happening on a few days after August 11, 2020 when a research team published findings that teenagers and young adults who vape face a much higher risk of COVID-19 infection than their peers who do not vape. Topic modeling generated 8 topics: linkage between vaping and risk of COVID-19 infection, vaping pneumonia and the origin of COVID-19, vaping and spread of COVID-19, vaping regulation, calling for quitting vaping, protecting youth, similarity between e-cigarette or vaping-associated lung injury (EVALI) and COVID-19, and sales information. Daily sentiment scores showed that the public sentiment was predominantly negative, but became slightly more positive over the course of the study time period.ConclusionsWhile some content in the public discourse on vaping before the COVID-19 pandemic continued in Twitter posts during the COVID-19 time period, new topics emerged. We found a substantial amount of anti-vaping discussion and dominantly negative sentiment around vaping during COVID-19, a sharp contrast to the predominantly pro-vaping voice on social media in the pre-COVID-19 period. Continued monitoring of social media conversations around vaping is needed, and the public health community may consider using social media platforms to actively convey scientific information around vaping and vaping cessation.

ObjectiveTo characterise the thematic content of tobacco industry-sponsored advocacy websites in the USA and to compare these sites to identify differences in products, target audience, policies or themes.MethodsIn 2017, US-based Google and purposive searches identified six US tobacco industry-sponsored advocacy websites. A coding guide based on existing literature, tobacco policy issues and iterative review of the websites was developed and, descriptive analyses of themes on individual websites and overall were conducted.ResultsWe identified 18 themes; the most common of these were: tobacco taxes (13.9%), providing advocacy resources (10.6%) and pleas for action (10.3%). Related themes were aggregated into four broad categories: advocacy (36.7%), taxes (31.4%), legislation is excessive or unnecessary (21%), and support for weaker tobacco control policies (10.9%). Websites targeting consumers provided more resources to facilitate advocacy than websites targeting retailers.ConclusionsWebsites promoting protobacco advocacy are an important and evolving strategy for the tobacco industry. Websites are particularly well suited to leverage marketing activities (eg, building relationships with retailers and consumers) to achieve policy objectives. Monitoring these tactics may allow advocates to counter and anticipate industry opposition to tobacco policy.

BackgroundCigarette lifestyle marketing with psychographic targeting has been well documented, but few studies address non-cigarette tobacco products. This study examined how young adults respond to e-cigarette advertisements featuring diverse peer crowds - peer groups with shared identities and lifestyles - to inform tobacco counter-marketing design.MethodsFifty-nine young adult tobacco users in California participated in interviews and viewed four to five e-cigarette advertisements that featured characters from various peer crowd groups. For each participant, half of the advertisements they viewed showed characters from the same peer crowd as their own, and the other half of the advertisements featured characters from a different peer crowd. Advertisements were presented in random order. Questions probed what types of cues are noticed in the advertisements, and whether and how much participants liked or disliked the advertisements.ResultsResults suggest that participants liked and provided richer descriptions of characters and social situations in the advertisements featuring their own peer crowd more than the advertisements featuring a different peer crowd. Mismatching age or device type was also noted: participants reported advertisements showing older adults were not intended for them. Participants who used larger vaporizers tended to dislike cigalike advertisements even if they featured a matching peer crowd.ConclusionPeer crowd and lifestyle cues, age and device type are all salient features of e-cigarette advertising for young adults. Similarly, educational campaigns about e-cigarettes should employ peer crowd-based targeting to engage young adults, though messages should be carefully tested to ensure authentic and realistic portrayals.

Given the emerging tobacco landscape, dual use of cigarettes and e-cigarettes has increased among young adults, but little is known about its associated factors. Peer crowds, defined as macro-level connections between individuals with similar core values (e.g., "Hip Hop" describing a group that prefers hip hop music and values strength, honor, and respect), are a promising way to understand tobacco use patterns. We examined associations between peer crowds and tobacco use patterns by using data from a cross sectional survey of 1340 young adults in the San Francisco Bay Area in 2014. Outcomes were the past 30-day use of: neither cigarettes nor e-cigarettes; cigarettes but not e-cigarettes; e-cigarettes but not cigarettes; and both cigarettes and e-cigarettes. Peer crowds included Hipster, Hip Hop, Country, Partier, Homebody, and Young Professional. Multinomial regression analysis indicated that peer crowds were significantly associated with different tobacco use patterns. Compared to Young Professionals, Hip Hop and Hipster crowds were more likely to dual use; Hipsters were more likely to use e-cigarettes only, and Country participants were more likely to smoke cigarettes only. These findings suggest that tobacco control campaigns and cessation interventions should be tailored to different young adult peer crowds and address poly-tobacco use.

PurposeTo evaluate the impact of a Social Branding intervention in bars and nightclubs on smoking behavior.DesignQuasi-experimental controlled study.SettingBars and nightclubs in San Diego and San Francisco (intervention) and Los Angeles (control).Participants"Hipster" young adults (age 18-26) attending bars and nightclubs.InterventionAnti-tobacco messages delivered through monthly anti-tobacco music/social events, opinion leaders, original art, direct mail, promotional activities, and online media.MeasuresA total of 7240 surveys were collected in 3 cities using randomized time location sampling at baseline (2012-2013) and follow-up (2015-2016); data were analyzed in 2018. The primary outcome was current smoking.AnalysisMultivariable logistic regression assessed correlates of smoking, adjusting for covariates including electronic cigarette use; differences between cities were evaluated using location-by-time interactions.ResultsSmoking in San Francisco decreased at a significantly faster rate (51.1%-44.1%) than Los Angeles (45.2%-44.5%) (P = .034). Smoking in San Diego (mean: 39.6%) was significantly lower than Los Angeles (44.8%, P < .001) at both time points with no difference in rate of change. Brand recall was not associated with smoking behavior, but recall was associated with anti-tobacco attitudes that were associated with smoking.ConclusionThis is the first controlled study of Social Branding interventions. Intervention implementation was accompanied by decreases in smoking (San Francisco) and sustained lower smoking (San Diego) among young adult bar patrons over 3 years.

IntroductionYoung adults have high combustible cigarette and e-cigarette use rates, and low utilization of evidence-based smoking cessation strategies compared to older adults. It is unknown whether young adults who try to quit smoking without assistance, with evidence-based strategies, or with e-cigarettes, are equally successful compared to older adults.Aims and methodsThis analysis used a population-based sample from the Population Assessment of Tobacco and Health study of young adult (aged 18-24, n = 745) and older adult (aged 25-64, n = 2057) established cigarette smokers at Wave 1 (2013-2014) who reported having made a quit attempt at Wave 2 (2014-2015). Cessation strategies were: behavioral therapy, pharmacotherapy, product substitution, 2+ strategies, and unassisted. Logistic regression estimated associations between cessation strategy and short-term cessation status at Wave 2 (quit, no quit); multinomial logistic regression predicted long-term cessation patterns at Waves 2 and 3 (sustained quit, temporary quit, delayed quit, no quit).ResultsNo cessation strategy (ref: unassisted) significantly predicted short-term cessation. No cessation strategy (ref: unassisted) significantly predicted long-term cessation patterns for young adults. Substitution with e-cigarettes predicted short-term cessation for older daily smokers of ≥5 cigarettes/day (adjusted odds ratio [AOR]: 1.70; 95% confidence interval: 1.08, 2.67) but did not predict long-term cessation patterns.ConclusionsDespite differences in cessation strategy use between young and older adult smokers, strategy effectiveness largely did not differ by age group. No strategy examined, including e-cigarettes, was significantly associated with successful cessation for young adults. More work is needed to identify effective interventions that help young adult smokers quit.Implications(1) Neither behavioral support, pharmacotherapy, nor product substitution was associated with short-term cessation for young or older adults compared to quitting unassisted. (2) Neither behavioral support, pharmacotherapy, nor product substitution was associated with longer-term cessation for young or older adults compared to quitting unassisted. (3) Substitution with e-cigarettes predicted short-term cessation for older daily smokers of ≥5 cigarettes/day but was not associated with longer-term cessation.

IntroductionYoung adults have high smoking rates and low utilization of evidence-based smoking cessation strategies. We investigated smoking cessation intentions, strategy use, and socioeconomic predictors of strategy use among young adult smokers (age 18-24) and compared patterns with those of older adults (age 25-64).MethodsWe used a population-based sample from the Population Assessment of Tobacco and Health (PATH) study of young adult (n = 1,881) and older adult (n = 6,366) established smokers of conventional cigarettes at Wave 1 (2013-2014), who were surveyed at Wave 2 (2014-2015). Simple regression analysis compared intentions to quit between age groups. Among Wave 1 smokers who reported a Wave 2 quit attempt (young adults [YA] n = 748; older adults [OA] n = 2,068), bivariate and multinomial logistic regression estimated differences in use of behavioral support, pharmacotherapy, product substitution, and unassisted quit attempts. Interaction terms estimated age-group differences in relationships between predictors and cessation strategy use.ResultsYoung adults planned to quit on a longer time frame, expressed lower interest in quitting, and were more confident they would be successful, compared with older adults. Young adults were significantly less likely to use pharmacotherapy (adjusted odds ratio: 0.15; confidence interval: 0.09, 0.24; reference: quitting unassisted). Both groups reported using product substitution (YA: 31.6%; OA: 28.5%), primarily with e-cigarettes, more than any evidence-based cessation strategy. Socioeconomic predictors of cessation strategy use did not differ between age groups.ConclusionsMore research on why young adult smokers underutilize evidence-based cessation support is needed, as are innovative efforts to increase intentions to quit and utilization of cessation assistance.ImplicationsYoung adulthood is a key transition time for tobacco use, and early cessation substantially reduces the risk of morbidity and mortality from smoking. In the context of high e-cigarette and polytobacco use, this study finds young adults have significantly less intention to quit than older adults and are less likely to use evidence-based cessation strategies to help quit. Innovative methods are needed to increase young adult intentions to quit and use of evidence-based cessation assistance.

PurposeThe rise of noncigarette, alternative tobacco product (ATP) use among adolescents may be due in part to an increase in retail availability of ATPs. We examined whether proximity and density of tobacco retailers near students' homes are associated with a higher likelihood of initiating ATP use over time.MethodsUsing data from 728 adolescents (aged 13-19 years at baseline) residing in 191 different neighborhoods and attending 10 different California high schools, longitudinal multilevel and cross-classified random effect models evaluated individual-level, neighborhood-level, and school-level risk factors for ATP initiation after 1 year. Covariates were obtained from the American Community Survey and the California Department of Education.ResultsThe sample was predominantly female (63.5%) and was racially and ethnically diverse. Approximately one third of participants (32.5%) reported ever ATP use at baseline, with 106 (14.5%) initiating ATP use within 1 year. The mean number of tobacco retailers per square mile within a tract was 5.66 (standard deviation = 6.3), and the average distance from each participant's residence to the nearest tobacco retailer was .61 miles (standard deviation = .4). Living in neighborhoods with greater tobacco retailer density at baseline was associated with higher odds of ATP initiation (odds ratio = 1.22, 95% confidence interval = 1.07-2.12), controlling for individual and school factors.ConclusionsTobacco retailers clustered in students' home neighborhood may be an environmental influence on adolescents' ATP use. Policy efforts to reduce adolescent ATP use should aim to reduce the density of tobacco retailers and limit the proximity of tobacco retailers near adolescents' homes and schools.

Neighborhood characteristics and the built environment are important determinants in shaping health inequalities. We evaluate the role of a retail density ordinance in reducing concentration of tobacco stores based on neighborhood characteristics and land use pattern in San Francisco. The study evaluated the spatial distribution of tobacco retailers before and after the ordinance to identify geographic pockets where the most significant reduction had occurred. A generalized additive model was applied to assess the association between the location of the closure of tobacco retailer and socio-demographic characteristics and land use pattern. We did not find a meaningful change in the overall concentration of retailers based on neighborhood income and ethnicity but found a significant association based on patterns of land use. Our findings suggest that future polices must account for the differential distribution of retailers based on land use mix to lower concentration in areas where it is needed the most.

Background and aimsStudies assessing the cognitive performance effects of nicotine show inconsistent results and tobacco industry funding has been correlated with study outcomes. We conducted a systematic review of the primary literature assessing the cognitive performance effects of nicotine and assessed potential associations between tobacco and pharmaceutical industry affiliation and reported study conclusions.MethodsWe searched PubMed, EMBASE, PsycINFO, BIOSIS, and Web of Science for peer-reviewed journal articles published between 2009 and 2016 that: (1) were randomized controlled trials; (2) investigated the effects of nicotine on cognitive performance in a laboratory setting; (3) administered nicotine to healthy adults (18-60 years); and (4) included participants were nonsmokers or minimally deprived smokers (⩽2 hours of abstaining from smoking). Study disclosures and tobacco industry documents were reviewed to determine industry funding.ResultsSearches yielded 3,771 abstracts; 32 studies were included in the review. The majority of studies investigated the effects of nicotine on attention (n = 22). Nicotine had a non-uniform effect on attention: studies reported positive (41%; n = 9), mixed (41%; n = 9), and no effect (18%; n = 4). The majority of study authors had received prior tobacco industry funding (59%; n = 19), however over half of tobacco-industry funded authors did not report this (53%; n = 10).ConclusionsNicotine does not appear to be associated with consistent cognitive performance effects. Although no association was found between reported outcomes and tobacco or pharmaceutical industry funding, findings likely underestimate the influence of industry funding due to strict inclusion criteria and incomplete data on pharmaceutical industry funding.Clinical trial registrationNot applicable.

This study conducted a content analysis of 639 news articles about e-cigarettes in China from 2004-2019 to examine longitudinal changes in media frames and media tones about e-cigarettes in Chinese newspapers. Results indicated that policy frame was the most frequently used frame, followed by human impact frame, information frame, and uncertainty frame. Dividing the time period of 2004-2019 into four phases (i.e., 2004-2006, 2007-2010, 2011-2017 and 2018-2019), the study found that the frequency of the information frame significantly decreased over time, while the policy frame and uncertainty frame significantly increased, with the policy frame being the dominant frame in recent years. In contrast, the use of the economic frame and morality frame fluctuated, both reaching peaks in the phase of 2007-2010 and decreasing in the most recent phase. Overall, the tone of the large majority of news articles was unfavorable, and the turning point occurred in the phase of 2007-2010 when the percentage of news articles with negative tone exceeded those with positive tone for the first time. Framing of e-cigarette news articles in China demonstrated the pivotal role of policy makers in defining the e-cigarette issue, and the influence of the international public health community, as an important and reliable information source, on defining the health risk of e-cigarettes, which has implication for not only e-cigarette control, but tobacco control in China in general.

PurposeTo compare the relationship between anti-tobacco industry attitudes and intention and attempts to quit smoking across 6 young adult peer crowds.DesignA cross-sectional bar survey in 2015.SettingSeven US cities (Albuquerque, Los Angeles, Nashville, Oklahoma City, San Diego, San Francisco, and Tucson).ParticipantsTwo thousand eight hundred seventeen young adult bar patrons who were currently smoking.MeasuresIntention to quit in the next 6 months and having made a quit attempt in the last 12 months were binary outcomes. Anti-industry attitudes were measured by 3 items indicating support for action against the tobacco industry. Peer crowd affiliation was measured using the I-Base Survey.AnalysisAdjusted multivariable logistic regression models examined the association between anti-industry attitudes and the outcomes for the total sample and for each peer crowd.ResultsOverall, anti-industry attitudes were positively associated with both intention to quit (odds ratio [OR] = 1.37, 95% confidence interval [CI] = 1.24-1.52) and attempt to quit (OR = 1.14, 95% CI = 1.03-1.27). Intriguingly, the relationship between anti-industry attitudes and intention to quit differed by peer crowd affiliation, with significant associations for Homebody, Partier, Hipster, and Hip Hop, but not for Young Professional and Country.ConclusionsDeveloping health communication messages that resonate with unique peer crowd values can enhance the relevance of public health campaigns. Tobacco control practitioners should tailor anti-industry messages to promote intention to quit smoking among the highest risk young adults.

Little is known about why bisexual people use tobacco at higher rates than any other sexual identity group. Non-binary sexualities, such as bisexuality, exist within the socially constructed borderland between homosexuality and heterosexuality. Exploration of the everyday smoking contexts and practices of bisexual individuals may reveal unique mechanisms driving tobacco use. We employed a novel mixed method, integrating real-time, smartphone-administered surveys of (non)smoking situations, location tracking, spatial visualization of participant data, and subsequent map-led interviews. Participants (n = 17; ages 18-26, California) identified as bisexual, pansexual, and/or queer. Most were cisgender women. Survey smoking patterns and situational predictors were similar to other young adults'. However, interviews revealed unique roles of tobacco use in participants' navigation of differently sexualized spaces in everyday life: 1) stepping away from uncomfortable situations related to bisexual identity; 2) facilitating belonging to LGBTQ+ community; and 3) recovering from bisexual identity perception management. Similar studies can examine the place-embedded practices and spatio-temporal patterns of other substance use and other stigmatized identity experiences.

Background. Tobacco companies have actively promoted the substitution of cigarettes with purportedly safer tobacco products (e.g., smokeless tobacco, e-cigarettes) as tobacco harm reduction (THR). Given the tobacco, e-cigarette, and pharmaceutical industries' substantial financial interests, we quantified industry influence on support for THR. Objectives. To analyze a comprehensive set of articles published in peer-reviewed journals assessing funding sources and support for or opposition to substitution of tobacco or nicotine products as harm reduction. Search Methods. We searched PubMed, Embase, Web of Science, and PsycINFO with a comprehensive search string including all articles, comments, and editorials published between January 1, 1992, and July 26, 2016. Selection Criteria. We included English-language publications published in peer-reviewed journals addressing THR in humans and excluded studies on modified cigarettes, on South Asian smokeless tobacco variants, on pregnant women, on animals, not mentioning a tobacco or nicotine product, on US Food and Drug Administration-approved nicotine replacement therapies, and on nicotine vaccines. Data Collection and Analysis. We double-coded all articles for article type; primary product type (e.g., snus, e-cigarettes); themes for and against THR; stance on THR; THR concepts; funding or affiliation with tobacco, e-cigarette, pharmaceutical industry, or multiple industries; and each author's country. We fit exact logistic regression models with stance on THR as the outcome (pro- vs anti-THR) and source of funding or industry affiliation as the predictor taking into account sparse data. Additional models included article type as the outcome (nonempirical or empirical) and industry funding or affiliation as predictor, and stratified analyses for empirical and nonempirical studies with stance on THR as outcome and funding source as predictor. Main Results. Searches retrieved 826 articles, including nonempirical articles (21%), letters or commentaries (34%), editorials (5%), cross-sectional studies (15%), systematic reviews and meta-analyses (3%), and randomized controlled trials (2%). Overall, 23.9% disclosed support by industry; 49% of articles endorsed THR, 42% opposed it, and 9% took neutral or mixed positions. Support from the e-cigarette industry (odds ratio [OR] = 20.9; 95% confidence interval [CI] = 5.3, 180.7), tobacco industry (OR = 59.4; 95% CI = 10.1, +infinity), or pharmaceutical industry (OR = 2.18; 95% CI = 1.3, 3.7) was significantly associated with supportive stance on THR in analyses accounting for sparse data. Authors' Conclusions. Non-industry-funded articles were evenly divided in stance, while industry-funded articles favored THR. Because of their quantity, letters and comments may influence perceptions of THR when empirical studies lack consensus. Public Health Implications. Public health practitioners and researchers need to account for industry funding when interpreting the evidence in THR debates.

BackgroundIn response to a changing regulatory and consumer landscape, tobacco companies developed new strategies to promote cigarettes and smoking. We examined one of these strategies: to fund and conduct scientific research related to potential benefits of nicotine, and to use their findings to promote nicotine.MethodsQualitative analysis of previously secret tobacco industry documents from the Truth (formerly Legacy) Tobacco Documents Library (industrydocuments.library.ucsf.edu/tobacco), triangulated with data from other sources, including the online search engine Google, from the 1970s to December 2017.ResultsAfter publication of the 1988 Surgeon General's report on nicotine addiction, tobacco companies (particularly RJ Reynolds) intensified efforts to promote the benefits of nicotine while downplaying its addictiveness and health risks. Activities included building relationships with academic institutions and funding scientific studies of the benefits of nicotine on cognition and other performance areas through intramural and extramural programmes. Companies then promoted their research findings through public relations campaigns, often minimising nicotine's health risks by comparing it to caffeine or coffee. These comparisons appeared in highly publicised scientific meetings and interviews with the press. Nicotine-positive messages reappeared in the popular press and on some company websites in the 2010s.ConclusionsTobacco companies implemented strategies to promote benefits of nicotine to scientific and general audiences while minimising its health risks. These strategies reappeared at the time novel tobacco products like electronic cigarettes were introduced. A greater awareness of the source of claims related to purported benefits of nicotine could inform discussions about emerging tobacco products.