The Compassion Club: A New Proposal for Transformation of Tobacco Retail.

INTRODUCTION: One major assumption in the current tobacco industry is the distribution of tobacco products through a system of commercial for-profit retail. However, other models of distribution that do not rely on this mechanism exist. AIMS AND METHODS: In this review, we examine the potential of a nonprofit Compassion Club model and discuss how the current existence of independent vape stores might provide the infrastructure to allow the transformation of tobacco distribution. RESULTS: Compassion Clubs exist internationally with different levels of regulation and legality and have generally been focused on the distribution of illegal drugs or hard-to-access pharmaceuticals. They provide access to drugs for existing users, limit access by novices, limit negative impacts from illicit markets, and provide social support focused on reducing harms associated with drug use. CONCLUSIONS: With decreasing prevalence of tobacco use in many countries and growing interest in a tobacco endgame, a Compassion Club model of distribution could help transition tobacco away from the model of commercial widely available distribution. More work is needed to develop the regulations and policies that might guide a compassion club model. IMPLICATIONS: Compassion clubs are a model for the distribution of psychoactive substances that are focused on harm reduction and social support rather than profit. There has been little discussion about the possibility that this promising model could be applied to help transform the tobacco industry. Many independent vape stores already demonstrate aspects of the compassion club model that could be used to support a transition.

Return on investment of Canadian tobacco control policies implemented between 2001 and 2016.

OBJECTIVES: To determine the return on investment (ROI) associated with tobacco control policies implemented between 2001 and 2016 in Canada. METHODS: Canadian expenditures on tobacco policies were collected from government sources. The economic benefits considered in our analyses (decrease in healthcare costs, productivity costs and monetised life years lost, as well as tax revenues) were based on the changes in smoking prevalence and attributable deaths derived from the SimSmoke simulation model for the period 2001-2016. The net economic benefit (monetised benefits minus expenditures) and ROI associated with these policies were determined from the government and societal perspectives. Sensitivity analyses were conducted to check the robustness of the result. Costs were expressed in 2019 Canadian dollars. RESULTS: The total of provincial and federal expenditures associated with the implementation of tobacco control policies in Canada from 2001 through 2016 was estimated at $2.4 billion. Total economic benefits from these policies during that time were calculated at $49.2 billion from the government perspective and at $54.2 billion from the societal perspective. The corresponding ROIs were $19.8 and $21.9 for every dollar invested. Sensitivity analyses yielded ROI values ranging from $16.3 to $28.3 for every dollar invested depending on the analyses and perspective. CONCLUSIONS: This analysis has found that the costs to implement the Canadian tobacco policies between 2001 and 2016 were far outweighed by the monetised value associated with the benefits of these policies, making a powerful case for the investment in tobacco control policies.

Machine learning applications in tobacco research: a scoping review.

OBJECTIVE: Identify and review the body of tobacco research literature that self-identified as using machine learning (ML) in the analysis. DATA SOURCES: MEDLINE, EMABSE, PubMed, CINAHL Plus, APA PsycINFO and IEEE Xplore databases were searched up to September 2020. Studies were restricted to peer-reviewed, English-language journal articles, dissertations and conference papers comprising an empirical analysis where ML was identified to be the method used to examine human experience of tobacco. Studies of genomics and diagnostic imaging were excluded. STUDY SELECTION: Two reviewers independently screened the titles and abstracts. The reference list of articles was also searched. In an iterative process, eligible studies were classified into domains based on their objectives and types of data used in the analysis. DATA EXTRACTION: Using data charting forms, two reviewers independently extracted data from all studies. A narrative synthesis method was used to describe findings from each domain such as study design, objective, ML classes/algorithms, knowledge users and the presence of a data sharing statement. Trends of publication were visually depicted. DATA SYNTHESIS: 74 studies were grouped into four domains: ML-powered technology to assist smoking cessation (n=22); content analysis of tobacco on social media (n=32); smoker status classification from narrative clinical texts (n=6) and tobacco-related outcome prediction using administrative, survey or clinical trial data (n=14). Implications of these studies and future directions for ML researchers in tobacco control were discussed. CONCLUSIONS: ML represents a powerful tool that could advance the research and policy decision-making of tobacco control. Further opportunities should be explored.

Impact of Canada's menthol cigarette ban on quitting among menthol smokers: pooled analysis of pre-post evaluation from the ITC Project and the Ontario Menthol Ban Study and projections of impact in the USA.

INTRODUCTION: Between 2015 and 2018, Canada banned menthol cigarettes. This study pooled data from two pre-post cohort studies (the Ontario Menthol Ban Study, and the International Tobacco Control Policy Evaluation (ITC) Canada Survey, conducted in seven provinces) to derive more precise estimates of the impact of Canada's menthol ban on quitting and to apply these estimates to project the impact of a menthol ban in the USA. METHODS: Weighted multivariable logistic analyses compared post-ban quit success of menthol smokers with non-menthol smokers (for daily smokers and for all (daily + non-daily) smokers), controlling for sex, age, ethnicity, education, baseline smoking status, baseline cigarettes per day and study regions. Projections to the USA were created by multiplying the effect size of the Canadian menthol ban on quitting (percentage of increased quitting among menthol smokers) by the number of menthol smokers overall and among African Americans, from the 2019 National Survey on Drug Use and Health. RESULTS: After the menthol cigarette ban, menthol smokers were more likely than non-menthol smokers to have quit smoking among daily smokers (difference=8.0%; 95% CI: 2.4% to 13.7%,p=0.005) and all (daily+non-daily) smokers (difference=7.3%; 95% CI: 2.1% to 12.5%,p=0.006). The projected number of smokers who would quit after a US menthol ban would be 789 724 daily smokers (including 199 732 African Americans) and 1 337 988 daily+non-daily smokers (including 381 272 African Americans). CONCLUSIONS: This pooled analysis of Canada's menthol cigarette ban provides the foundation for estimating the impact of menthol bans in the USA and other countries. Projections suggest that a US menthol cigarette ban would have a substantial impact on increasing quitting.

Evaluating Web-Based Care for Mental Health and Substance Use Issues for Lesbian, Gay, Bisexual, Transgender, Queer, Questioning, and 2-Spirit Youths in the Context of the COVID-19 Pandemic: Community-Based Participatory Research Study.

BACKGROUND: Mental health (MH) and substance use (SU) care supports are often difficult to access for the lesbian, gay, bisexual, transgender, queer, questioning, and 2-spirit (LGBTQ2S+) population. There is little known on how the shift to web-based care has affected and changed the experiences of LGBTQ2S+ youths within the MH care system. OBJECTIVE: This study sought to examine how web-based care modalities have affected access to care and quality of care for LGBTQ2S+ youths seeking MH and SU services. METHODS: Researchers used a web-based co-design method to explore this population's relationship with MH and SU care supports, focusing on the experiences of 33 LGBTQ2S+ youths and their relationship with MH and SU supports during the COVID-19 pandemic. A participatory design research method was used to gain experiential knowledge of LGBTQ2S+ youths' lived experience with accessing MH and SU care. Thematic analysis was used to examine the resulting audio-recorded data transcripts and create themes. RESULTS: Themes related to web-based care included accessibility, web-based communication, provision of choice, and provider relationship and interactions. Barriers to care were identified in particular for disabled youths, rural youths, and other participants with marginalized intersecting identities. Unexpected benefits of web-based care were also found and emphasize the idea that this modality is beneficial for some LGBTQ2S+ youths. CONCLUSIONS: During the COVID-19 pandemic, a time where MH- and SU-related problems have increased, programs need to reevaluate current measures so that the negative effects of web-based care modalities can be reduced for this population. Implications for practice encourage service providers to be more empathetic and transparent when providing services for LGBTQ2S+ youths. It is suggested that LGBTQ2S+ care should be provided by LGBTQ2S+ folks or organizations or service providers who are trained by LGBTQ2S+ community members. Additionally, hybrid models of care should be established in the future so that LGBTQ2S+ youths have the option to access in-person services, web-based ones, or both as there can be benefits to web-based care once it has been properly developed. Implications for policy also include moving away from a traditional health care team model and developing free and lower-cost services in remote areas.

Prevalence and factors associated with self-reported exposure to secondhand cannabis smoke in the United States and Canada in 2019.

Little is known about exposure to secondhand cannabis smoke (SHCS) among residents of detached single-family homes and multiunit housing (MUH). Using data from the 2019 International Cannabis Policy Study, the prevalence of (a) self-reported exposure to SHCS at home (n = 33,024) and (b) self-reported SHCS incursions into MUH (defined as SHCS from another unit/the outdoors, n = 15,634) was estimated in (1) Canada; (2) US states where non-medical cannabis use was legal, and (3) US states where it remained illegal. Factors associated with exposures and incursions were assessed using weighted logistic regression. Overall, 16.9% of residents in Canada, 20.6% in US legal states, and 15.5% in US illegal states reported exposure to SHCS in their homes at least once in the previous month. One quarter (25.7%) of Canadian MUH residents, 26.6% from US legal states, and 20.1% from US illegal states reported at least monthly incursions. Sociodemographic factors associated with incursions suggested MUH residents reporting incursions lived in qualitatively different MUH than those not reporting incursions. Irrespective of the legality of non-medical cannabis use, smoke-free policies in MUH should protect residents from involuntary exposure to all types of secondhand smoke.

E-Cigarette Dependence in Youth.

INTRODUCTION: The majority of e-cigarette vaping youth use nicotine when vaping. Some then become dependent on the nicotine, which can result in subsequent health effects. There has been limited evaluation of convergent validity of e-cigarette dependence measures for use specifically in youth. The aim of this study was to investigate and validate various e-cigarette dependence measures for use in youth populations. AIMS AND METHODS: One thousand two hundred and five Canadian youth aged 16-24 who completed a cross-sectional online survey reported vaping at least monthly and were thus included in the analysis. E-cigarette dependence was assessed using a modified Penn State Electronic Cigarette Dependence Index (PS-ECDI), the E-Cigarette Dependence Scale (EDS), a self-perceived vaping dependence question, and time to first vape after waking. Internal consistency, convergent validity, and concurrent validity of the measures were assessed. RESULTS: Both the PS-ECDI and the EDS exhibited a good degree of internal consistency (α = 0.8472 and 0.8405, respectively). All measures exhibited convergent validity against each other and against time to first vape upon waking (p < .001), as well as concurrent validity against vaping frequency and nicotine concentration (p < .001). The PS-ECDI was inferior to the EDS, self-perceived measure, and time from waking when predicting daily vaping frequency, but, along with the self-perceived measure, was superior to the EDS and time from waking when predicting monthly vaping. CONCLUSIONS: All measures exhibit convergent and concurrent validity, as well as internal consistency. Depending on the needs of the study, it would be appropriate to use any of these measures when assessing e-cigarette dependence in adolescent and young-adult populations. IMPLICATIONS: The PS-ECDI and the self-perceived measure are equally effective in predicting monthly vaping, but the self-perceived measure was superior in predicting daily vaping. Thus, the one-item self-perceived measure of dependence is appropriate for use and preferable to the 11-item PS-ECDI or the 4-item EDS in situations of limited time or where subjects are at risk of respondent fatigue, and is superior to time to first vape after waking to predict vaping frequency.

A Machine Learning Approach to Identify Predictors of Frequent Vaping and Vulnerable Californian Youth Subgroups.

INTRODUCTION: Machine learning presents a unique opportunity to improve electronic cigarette (vaping) monitoring in youth. Here we built a random forest model to predict frequent vaping status among Californian youth and to identify contributing factors and vulnerable populations. METHODS: In this prospective cohort study, 1281 ever-vaping twelfth-grade students from metropolitan Los Angeles were surveyed in Fall and in 6-month in Spring. Frequent vaping was measured at the 6-month follow-up as nicotine-containing vaping on 20 or more days in past 30 days. Predictors (n = 131) encompassed sociodemographic characteristics, substance use and perceptions, health status, and characteristics of the household, school, and neighborhood. A random forest was developed to identify the top ten predictors of frequent vaping and interactions by sociodemographic variables. RESULTS: Forty participants (3.1%) reported frequent vaping at the follow-up. The random forest outperformed a logistic regression model in prediction (C-Index = 0.87 vs. 0.77). Higher past-month nicotine concentration in vape, more daily vaping sessions, and greater nicotine dependence were the top three of the ten most important predictors of frequent vaping. Interactions were found between age and perceived discrimination, and between age and race/ethnicity, as those who were younger than their classmates and either reported experiencing discrimination frequently or identified as Asian or Native American/Pacific Islander were at increased risk of becoming frequent vapers. CONCLUSIONS: Machine learning can produce models that accurately predict progression of vaping behaviors among youth. The potential association between frequent vaping and perceived discrimination warrants more in-depth analyses to confirm if discrimination constitutes a cause of increased vaping. IMPLICATIONS: This study demonstrates the utility of machine learning in predicting status of frequent vaping over 6 months and understanding predictors and nuanced intersectionality by sociodemographic attributes. The high performance of the random forest model has practical implications for a personalized risk calculator that supports vaping prevention program. Public health officials need to recognize the importance of social factors that contribute to frequent vaping, particularly perceived discrimination. Youth subpopulations, including younger high school students and Asians or Native Americans/Pacific Islanders, might require specially designed interventions to help prevent habit-forming in vaping.

Taking global leadership in banning menthol and other flavours in tobacco: Canada's experience.

Measures to ban or restrict menthol and other flavours in tobacco products are under consideration or newly implemented in an increasing number of jurisdictions across the world. As one of the world leaders, Canada's experience in successfully developing and implementing such measures can be instructive for other jurisdictions. This paper explores the history of how Canada was able to implement tobacco flavour bans including menthol, examines some of the challenges and presents lessons learnt for other jurisdictions. The crucial motivation for these bans emerged from surveillance data showing high rates of flavoured tobacco use by youth, including menthol cigarette smoking, that was publicised by non-governmental organisations. Further data showed that early legislation in 2009 contained loopholes (cigar size exemptions and menthol exemptions) that limited the benefits of the legislation. Leadership by the provinces created an environment in which the federal ban on menthol ingredients in 2017 was a clear and obvious step to ensure implementation across the country. The Canadian measures have been successful at reducing the use of flavoured tobacco including menthol cigarettes and facilitating smoking cessation. Lessons learnt include the downsides of exemptions, the lack of a contraband issue (despite an existing supply in Canada), the benefits of availability of youth flavour prevalence data and the success of subnational regulations to advance national regulation.

Co-use and Mixing Tobacco With Cannabis Among Ontario Adults.

INTRODUCTION: The legalization of nonmedical cannabis in 2018 may have important implications for tobacco use in Canada. There is a risk of renormalizing tobacco use with co-use of tobacco and cannabis introducing nontobacco users to tobacco. Co-use is the use of both substances by the same individual at the same time or on different occasions, as well as mixed together. This study assessed the prevalence of co-use and mixing of tobacco and cannabis among Ontario adults and the characteristics of the users. AIMS AND METHODS: Data from the 1996 to 2017 cycles of the Centre for Addiction and Mental Health Monitor (n = 4481) were used to examine trends in prevalence and the proportion of Ontario adults co-using and mixing tobacco and cannabis. Logistic regression was used to study associations between user characteristics and co-use and mixing. RESULTS: Co-use of cigarettes and cannabis among cannabis users declined from 59.8% in 1996 to 41.7% in 2017. Past-year e-cigarette use was the only predictor of co-use. From 2015 to 2017, 31.1% (95% confidence interval 27.0, 35.9) of Ontario adults who used cannabis reported mixing it with tobacco in the past year. Being white, past-year e-cigarette use, having moderate or high nicotine dependence, and having moderate or high risk for cannabis problems were significant predictors of mixing among cannabis users. CONCLUSION: Given the well-established negative health effects associated with tobacco use, alongside a growing evidence base for negative health effects of cannabis smoking, co-use and mixing could pose a considerable public health concern in the context of legalization. IMPLICATIONS: Considerable effort has been expended to reduce tobacco smoking. However, current efforts to reduce tobacco smoking may be diminished since this study found the prevalence of mixing tobacco and cannabis among cannabis users in Ontario to be higher than expected. Mixing tobacco and cannabis may introduce nontobacco smokers to tobacco, exposing them to health risks associated with both cannabis and tobacco smoke. Therefore, there is a need to monitor changes in tobacco use and understanding implications for tobacco control and cessation programs within the changing environment of cannabis legalization in Canada and other jurisdictions.

Prior Daily Menthol Smokers More Likely to Quit 2 Years After a Menthol Ban Than Non-menthol Smokers: A Population Cohort Study.

BACKGROUND AND AIMS: The province of Ontario, Canada, banned the use of menthol-flavored tobacco products as of January 1, 2017. This study aims to assess the longer-term impact of a menthol ban on smoking behavior at 2 years, which is unknown. METHODS: Population cohort study with baseline survey (n = 1821) conducted September-December 2016 and follow-up survey January-August 2019 among current smokers in Ontario (16+) prior to the menthol ban. Poisson regression was used to assess the probability of quitting smoking by pre-ban menthol status, controlling for differences in smoking and demographic characteristics, with multiple imputations used to address missing data. FINDINGS: Menthol smokers were more likely to report having quit smoking (12% [daily menthol] and 10% [occasional menthol] vs. 3% [non-menthol]; p < .001) than non-menthol smokers in the 2 years after a menthol ban. After adjustment for smoking and demographic characteristics, daily menthol smokers had higher likelihood of quitting smoking (adjusted relative risk [ARR] 2.08; 95% confidence interval [CI] 1.20-3.61) and reported more quit attempts (ARR 1.45; 95% CI 1.15-1.82). Among those who attempted to quit, menthol smoking was not associated with relapse (daily ARR = 0.96; 95% CI: 0.86, 1.07; occasional ARR = 0.99; 95% CI: 0.90, 1.08). However, there was a statistically significant interaction among menthol users who reported using other flavored tobacco products 1 year after the ban (ARR = 0.26 [95% CI: 0.08, 0.90]). CONCLUSIONS: The study found increased probability of quitting among daily menthol smokers and more quit attempts among daily and occasional menthol smokers compared with non-menthol smokers in Ontario 2 years after the implementation of a menthol ban. IMPLICATIONS: This study examines quitting behavior 2 years after a menthol ban in Ontario, Canada. Those who were daily menthol smokers prior to the ban were more likely to quit smoking and make more quit attempts in the 2 years after the ban. While there was no difference in the likelihood of relapse between menthol and non-menthol smokers among those who attempt to quit, there were indications that pre-ban daily menthol smokers who used other tobacco products after the ban were likely to quit.

Evaluating a Real World Ban on Menthol Cigarettes: An Interrupted Time-Series Analysis of Sales.

BACKGROUND: Menthol in cigarettes has been shown to increase regular cigarette smoking and nicotine dependence, and decrease success in smoking cessation. Owing to these reasons, in May 2015, the province of Ontario introduced a menthol ban on tobacco products that came into effect in January 2017 prior to a Federal Canadian Ban in October 2017. The objective of this article was to assess the effect of a provincial menthol ban on cigarette wholesale sales in Ontario. METHODS: Wholesale data submitted by tobacco manufacturers to Health Canada pursuant to the federal Tobacco Reporting Regulations from October 2012 to September 2017 were analyzed using interrupted time-series analysis. Changes in sales of cigarettes with and without menthol were estimated, using the province of British Columbia as a comparison. Analyses were seasonally adjusted. RESULTS: Sales of menthol and nonmenthol cigarettes increased from 2013 until the implementation of the 2017 provincial ban. Subsequently, a sharp decline of 55 million menthol cigarettes and 128 million total cigarettes was observed in Ontario. As a comparison, no significant changes were observed in British Columbia. CONCLUSION: This study supports the conclusion that implementation of a menthol ban in Ontario was associated with significant reduction of menthol cigarette sales and total cigarettes sales, compared to British Columbia where there was no provincial menthol ban. This suggests that menthol regulations in jurisdictions with a larger percentage of menthol smokers are likely to be highly effective. IMPLICATIONS: The 2017 menthol ban was associated with significant reduction of menthol cigarette sales and total cigarette sales suggesting that menthol regulations will have important effects on cigarette consumption.

Real-World Effectiveness of Pharmaceutical Smoking Cessation Aids: Time-Varying Effects.

BACKGROUND: There are a limited number of studies that have examined the real-world effectiveness of smoking cessation aids and relapse longitudinally in population-representative samples. This study examines the association between use of nicotine gum, patch, bupropion, and varenicline and time to relapse as well as any changes in the association with increased length of abstinence. METHODS: Data of 1821 current adult smokers (18+) making their first serious quit attempt were compiled from 4504 individuals enrolled in the Ontario Tobacco Survey, a representative telephone survey of Ontario adults, which followed smokers every 6 months for up to 3 years. Use of cessation aids at the time of initial report of a quit attempt was analyzed. A flexible parametric survival model was developed to model length of abstinence, controlling for potential confounders. RESULTS: The best fit model found knots at 3, 13, 43, and 212 days abstinent, suggesting different rates of relapse in the periods marked by those days. Use of the patch and varenicline was associated with lower rates of relapse, but no positive effect was found for bupropion or nicotine gum. The effectiveness of the patch reversed in effect after the first month of abstinence. CONCLUSIONS: This study is one of few reports of long-term quitting in a population-representative sample and demonstrates that the effectiveness of some pharmacological cessation aids (the patch and varenicline can be seen in a population sample). Previous failures in real-world studies of the effectiveness of smoking cessation aids may reflect differences in the products individuals use and differences in the timing of self-reported cessation. IMPLICATIONS: While a large number of randomized controlled trials have shown the efficacy of many pharmaceutical smoking cessation aids, evidence of their effectiveness in observational studies in the real world is ambiguous. This study uses a longitudinal cohort of a representative sample of smokers to show that the effectiveness of pharmaceutical cessation aids can be demonstrated in real-world use situations, but effectiveness varies by product type and has time-varying effects.

Ban on menthol-flavoured tobacco products predicts cigarette cessation at 1 year: a population cohort study.

OBJECTIVES: The province of Ontario, Canada, banned the use of menthol-flavoured tobacco products as of 1 January 2017. The long-term impact of a menthol ban on smoking behaviour has not been previously evaluated. METHODS: Population cohort study with baseline survey conducted September-December 2016 and follow-up January-August 2018 among residents of Ontario, Canada, 16 years old and over who reported current smoking (past 30 days) at baseline survey and completed follow-up (n=913) including 187 reporting smoking menthol cigarettes daily, 420 reported smoking menthol cigarettes occasionally, and 306 were non-menthol cigarette smokers. Relative rates of making a quit attempt and being a non-smoker at follow-up were estimated with Poisson regression controlling for smoking and demographic characteristics at baseline. RESULTS: At follow-up, 63% of daily menthol smokers reported making a quit attempt since the ban compared with 62% of occasional menthol smokers and 43% of non-menthol smokers (adjusted relative rate (ARR) for daily menthol smokers compared with non-menthol smokers: 1.25; 95% CI 1.03 to 1.50). At follow-up, 24% of daily menthol smokers reported making a quit since the ban compared with 20% of occasional menthol smokers and 14% of non-menthol smokers (ARR for daily menthol smokers compared with non-menthol smokers: 1.62; 95% CI 1.08 to 2.42). CONCLUSIONS: The study found higher rates of quitting among daily and occasional menthol smokers in Ontario 1 year after the implementation of a menthol ban compared with non-menthol smokers. Our findings suggest that restrictions on menthol may lead to substantial improvements in public health.

Targeting mailed nicotine patch distribution interventions to rural regions of Canada: protocol for a randomized controlled trial.

BACKGROUND: Quitting smoking is the most effective way of reducing the risk of cancer among smokers. One way of helping people stop smoking is to provide them with free Nicotine Replacement Therapy (NRT), such as when NRT is sent to people by postal mail as part of a mass distribution initiative. Our previous research indicated that there may be a substantial impact on increasing quit rates of a mailed NRT intervention in rural areas. The current research seeks to confirm this finding and to understand the social determinants of health driving these anticipated large effects. METHODS/DESIGN: Telephone numbers will be randomly selected from across rural regions of Canada in order to recruit adult smokers interested in completing a smoking survey and willing to be interviewed again in 6 months. The survey will ask participants about their smoking history, demographic characteristics, and a hypothetical question: would they be interested in receiving nicotine patches if they were provided to them free of charge? Half of the smokers interested in receiving nicotine patches will be selected by chance and offered the NRT package. The other half of smokers will not be offered the nicotine patches. In addition, the municipality where each participant lives will be identified and, once the relevant general population data becomes available, attempts will be made to link participant data to relevant municipal characteristics (e.g., smoking rates, availability of health services). Characteristics of the participants and the municipalities in which they live will be used to explain why the nicotine patch intervention may have a larger impact in some rural regions compared to others. DISCUSSION: The findings from the proposed RCT are timely and of high relevance as the distribution of nicotine patches has substantial potential to combat the public health problem of cigarette related cancer, other diseases, and premature death from tobacco use. Targeting such tobacco cessation initiatives to rural regions may substantially increase the impact of this intervention, helping to optimize the use of limited prevention resources while aiming to save the maximum number of lives. CLINICAL TRIALS REGISTRATION: ClinicalTrials.gov NCT04606797 , October, 27, 2020.

Tailored Web-Based Smoking Interventions and Reduced Attrition: Systematic Review and Meta-Analysis.

BACKGROUND: The increasing number of internet users presents an opportunity to deliver health interventions to large populations. Despite their potential, many web-based interventions, including those for smoking cessation, face high rates of attrition. Further consideration of how intervention features impact attrition is needed. OBJECTIVE: The aim of this systematic review is to investigate whether tailored web-based smoking cessation interventions for smokers are associated with reduced rates of attrition compared with active or passive untailored web-based interventions. The outcomes of interest were dropout attrition at 1-, 3-, 6-, and 12-month follow-ups. METHODS: Literature searches were conducted in May 2018 and updated in May 2020 on MEDLINE (Medical Literature Analysis and Retrieval System Online), PsycINFO (Psychological Information), EMBASE (Excerpta Medica dataBASE), CINAHL (Cumulated Index to Nursing and Allied Health Literature), Scopus, and the Cochrane Tobacco Addiction Group Specialized Register with the following search terms: smoking cessation, tailored, or web- or internet-based. Included studies were published in English before or in May 2020 using a randomized controlled trial design. Studies were restricted to those with web-based delivery, a tailored intervention group, an untailored control group, and a reported outcome of smoking cessation. Studies were assessed for methodological quality using the Cochrane Risk of Bias tool. Two reviewers independently extracted the study characteristics and the number of participants lost to follow-up for each treatment group. RESULTS: A total of 13 studies were included in the systematic review, of which 11 (85%) were included in the meta-analysis. Tailoring had no statistically significant effect on dropout attrition at 1-month (risk ratio [RR]=1.02, 95% CI 0.95-1.09; P=.58; I2=78%), 3-month (RR=0.99, 95% CI 0.95-1.04; P=.80; I2=73%), 6-month (RR=1.00, 95% CI 0.95-1.05; P=.90; I2=43%), or 12-month (RR=0.97, 95% CI 0.92-1.02; P=.26; I2=28%) follow-ups. Subgroup analyses suggested that there was a statistically significant effect of tailoring between the active and passive subgroups at 1-month (P=.03), 3-month (P<.001), and 6-month (P=.02) follow-ups but not at 12-month follow-up (P=.25). CONCLUSIONS: The results suggest that tailoring of web-based smoking cessation interventions may not be associated with reduced rates of dropout attrition at 1-, 3-, 6-, or 12-month follow-ups. Significant differences between studies that include untailored active and passive control groups suggest that the role of tailoring may be more prominent when studies include a passive control group. These findings may be because of variability in the presence of additional features, the definition of smokers used, and the duration of smoking abstinence measured. Future studies should incorporate active web-based controls, compare the impact of different tailoring strategies, and include populations outside of the Western countries.

Association of flavoured cigar regulations with wholesale tobacco volumes in Canada: an interrupted time series analysis.

INTRODUCTION: This study examines the association of Federal Canadian regulations passed in 2009 addressing flavours (excluding menthol) in small cigars with changes in cigar sales. METHODS: Quarterly wholesale unit data as reported to Health Canada from 2001 through 2016 were analysed using interrupted time series analysis. Changes in sales of cigars with and without flavour descriptors were estimated. Analyses were seasonally adjusted. Changes in the flavour types were assessed over time. RESULTS: The Federal flavour regulations were associated with a reduction in the sales of flavoured cigars by 59 million units (95% CI -86.0 to -32.4). Increases in sales of cigars with descriptors other than flavours (eg, colour or other ambiguous terms) were observed (9.6 million increase (95% CI -1.3 to 20.5), but the overall level (decline of 49.6 million units (95% CI -73.5 to -25.8) and trend of sales of cigars (6.9 million units per quarter (95% CI -8.1 to -5.7)) declined following the ban. Sensitivity analysis showed that there was no substantial difference in effect over time comparing Ontario and British Columbia, suggesting that other provincial tobacco control legislation was not associated with the changes in levels. Analyses suggested that the level change was sensitive to the specification of the date. CONCLUSION: This study demonstrates that flavour regulations have the potential to substantially impact tobacco sales. However, exemptions for certain flavours and product types may have reduced the effectiveness of the ban, indicating the need for comprehensive, well-designed regulations.

Is blue the new green? Repackaging menthol cigarettes in response to a flavour ban in Ontario, Canada.

BACKGROUND: As of 1 January 2017, the Canadian province of Ontario banned the distribution and sale of menthol tobacco products. There is limited knowledge about how tobacco companies will adapt their packaging in response to a menthol ban. METHODS: We conducted a content analysis of preban traditional menthol (no capsule) and menthol capsule cigarette packs and their postban replacements. Preban and postban packs were matched using tobacco company descriptions of replacement brands in business-to-business marketing materials, advertising on cigarette pack cellophane and a tobacco company website. RESULTS: A total of 63 menthol (n=30) and 'non-menthol alternative' (n=33) cigarette packs were included in the analysis. Approximately half of the preban packs were menthol capsule cigarettes and half traditional menthol cigarettes. While some postban brands continued to convey menthol-like qualities via the colour and/or brand descriptor 'green', 'blue' was the most common colour and brand descriptor postban. Packs shifted from using 'menthol' and/or 'fresh' as taste descriptor preban to using 'smooth' postban; some postban packs had 'non-menthol alternative' or 'without menthol/capsules' written on their cellophane. The presence of innovative filter technologies continued in the postban samples. CONCLUSION: Results suggest that tobacco companies attempted to maintain menthol smokers in Ontario by aggressive preban promotion of menthol capsule cigarettes, continued promotion of innovative filter technologies and by directing smokers to non-menthol alternatives whose packaging both in text and in colour connoted menthol-like qualities (eg, green) and reduced harshness or harm (eg, blue, white, silver, smooth taste).

Early Risk Factors for Daily Cannabis Use in Young Adults.

OBJECTIVES: Daily cannabis use can portend problematic use or dependence. We aimed to identify early risk factors for daily cannabis use in young adults. METHODS: Data were available in a longitudinal investigation of 1294 grade 7 students age 12 to 13 years at inception recruited in 10 secondary schools in Montreal, Canada, in 1999. Data on daily cannabis use were collected in mailed self-report questionnaires from 878 participants (67.9% of 1294) at age 20. The associations between each of 23 potential risk factors measured in grade 7 and daily cannabis use at age 20 were modeled using logistic regression. RESULTS: At age 20, 44% of participants reported past-year cannabis use; 10% reported daily use. Older age; male sex; higher levels of family stress and other stress; use of alcohol, cigarettes, and other tobacco products; parent(s), sibling(s), and friend(s) smoke cigarettes; higher body mass index; higher impulsivity and novelty seeking; and lower self-esteem increased the odds of daily cannabis use. CONCLUSIONS: Children at risk of daily cannabis use as young adults can be identified early. They may benefit from early intervention to prevent problematic cannabis use.