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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., (© The Author(s) 2018. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Introduction: Socio-economic disparities in smoking rates persist, in Ontario, despite public health care and universal tobacco control policies. Mechanisms for continuing disparities are not fully understood. Unequal access or utilization of assistance for cessation may contribute. The objective of this research was to use longitudinal data on smokers to examine the associations between socioeconomic status (SES) and access to care measures and assisted and unassisted quit attempts., Methods: Data were taken from 3578 smokers with at least one follow-up interview participating in the Ontario Tobacco Survey (OTS). Multinomial regression models with imputed missing values were run for each measure of SES and access to care to assess the association with quitting behavior and use of assistance, unadjusted and while adjusting for smoking history and demographic covariates., Results: Adjusted analyses found smokers living in areas with the lowest ethnic concentration were more likely to make an assisted quit attempt compared to unassisted quitting (RR = 1.64; 95% CI = 1.08-2.50) or making no quit attempt (RR = 1.65; 95% CI = 1.15-2.37). Smokers who reported visiting a doctor in the previous 6 months were more likely to quit with assistance versus unassisted compared to those not visiting a doctor, whether they were advised (RR = 1.89, 95% CI = 1.43-2.48) or not advised to quit (OR = 1.32, 95% CI = 1.01-1.74). Similar results were seen when comparing assisted quit attempts with no quit attempts., Conclusions: Adjusted analyses showed that quitting with assistance was unrelated to measures of SES except ethnic concentration. Physician intervention with patients who smoke is important for increasing assisted quit attempts., Implications: For most measures of SES there were no significant associations with either assisted or unassisted quitting adjusting for demographic and smoking history. Smokers who live in areas with the lowest ethnic concentration were most likely to use assistance as were smokers who visited their doctor and were advised to quit smoking. Interventions to increase the delivery of effective quitting methods in smokers living in areas with high ethnic concentrations and to increase physician compliance with asking and advising patients to quit may increase assisted quit attempts., (© The Author 2017. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Objectives: The number of quit attempts it takes a smoker to quit successfully is a commonly reported figure among smoking cessation programmes, but previous estimates have been based on lifetime recall in cross-sectional samples of successful quitters only. The purpose of this study is to improve the estimate of number of quit attempts prior to quitting successfully., Design: We used data from 1277 participants who had made an attempt to quit smoking in the Ontario Tobacco Survey, a longitudinal survey of smokers followed every 6 months for up to 3 years beginning in 2005. We calculated the number of quit attempts prior to quitting successfully under four different sets of assumptions. Our expected best set of assumptions incorporated a life table approach accounting for the declining success rates for subsequent observed quit attempts in the cohort., Results: The estimated average number of quit attempts expected before quitting successfully ranged from 6.1 under the assumptions consistent with prior research, 19.6 using a constant rate approach, 29.6 using the method with the expected lowest bias, to 142 using an approach including previous recall history., Conclusions: Previous estimates of number of quit attempts required to quit may be underestimating the average number of attempts as these estimates excluded smokers who have greater difficulty quitting and relied on lifetime recall of number of attempts. Understanding that for many smokers it may take 30 or more quit attempts before being successful may assist with clinical expectations., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/)

Aims: The idea that most smokers quit without formal assistance is widely accepted, however, few studies have been referenced as evidence. The purpose of this study is to systematically review the literature to determine what proportion of adult smokers report attempting to quit unassisted in population-based studies., Methods: A four stage strategy was used to conduct a search of the literature including searching 9 electronic databases (PUBMED, MEDLINE (OVID) (1948-), EMBASE (1947-), CINAHL, ISI Web of Science with conference proceedings, PsycINFO (1806-), Scopus, Conference Papers Index, and Digital Dissertations), the gray literature, online forums and hand searches., Results: A total of 26 population-based prevalence studies of unassisted quitting were identified, which presented data collected from 1986 through 2010, in 9 countries. Unassisted quit attempts ranged from a high of 95.3% in a study in Christchurch, New Zealand, between 1998 and 1999, to a low of 40.6% in a national Australian study conducted between 2008 and 2009. In 24 of the 26 studies reviewed, a majority of quit attempts were unassisted., Conclusions: This systematic review demonstrates that a majority of quit attempts in population-based studies to date are unassisted. However, across and within countries over time, it appears that there is a trend toward lower prevalence of making quit attempts without reported assistance or intervention., (Copyright © 2013 Elsevier Ltd. All rights reserved.)

In a nationwide study of Serbian births, in 2008, we estimated the influence of maternal prenatal smoking and environmental tobacco smoke (ETS) exposure on birth outcomes. Using stratified two-stage random cluster sampling, 2,721 women were interviewed in-person (response rates 98.1 %), and 2,613 singleton live births were included. Date of birth, gender, birthweight, birth height and head circumference were copied from the official hospital Birth Certificate. Six exposure categories were defined according to mother's smoking history and exposure to ETS. We calculated adjusted mean values and group differences by analysis of covariance, and adjusted odds ratios for the low birthweight (LBW < 2,500 g). Compared to the reference category (non-smoking, non-exposed to ETS) we observed birthweight reductions in infants whose mothers smoked continuously during the pregnancy and were exposed to ETS (-162.6 g) and whose mothers were not exposed to ETS (-173 g) (p = 0.000, and p = 0.003, respectively), as well as reduction in birth length (-1.01 and -1.06 cm; p = 0.003 and p = 0.000, respectively). Reduction in birthweight and birth length related to exposure categories was not linear. Adjusted OR for LBW was almost tripled for mothers who smoked over the entire pregnancy and were non-exposed to ETS (aOR 2.85; 95 % CI 1.46-5.08), and who were exposed to ETS (aOR 2.68; 95 % CI 1.15-6.25). Our results showed strong effects of smoking throughout the pregnancy on reduced birthweight, birth length and head circumference, and increased risk for LBW. We were not able to detect an effect for ETS exposure alone.

Introduction: Few studies have examined the transitions of smokers in the general population through multiple periods of daily, occasional smoking, or abstinence over time. Transitions from daily to occasional smoking are particularly of interest as these may be steps toward cessation., Methods: The Ontario Tobacco Survey panel study followed 4,355 baseline smokers, semiannually for up to 3 years. Probabilities of all possible changes in smoking status more than 6 months were estimated using 13,000 repeated measures observations generated from sets of 3 consecutive interviews (n = 9,932 daily smokers, 1,245 occasion smokers, and 1,823 abstinent for at least 30 days, at Time 1)., Results: For initial daily smokers, an estimated 83% remained daily smokers more than 2 follow-ups. The majority of those who had been abstinent for 30 days at 1 interview, were also former smokers at the following interview. In contrast, occasional smoking status was unstable and future smoking status was dependent upon smoking history and subjective dependence. Among daily smokers who became occasional smokers 6 months later, an estimated 20% became a former smoker, at the next interview, but 50% returned to daily smoking. Daily, turned occasional smokers who rebounded back to daily smoking were more likely to describe themselves as addicted at Time 1. Continuing occasional smokers were somewhat less likely to intend to quit, or have tried, despite considering themselves less addicted., Conclusions: Reducing to occasional smoking can be a stepping stone toward cessation but entails a greater risk of return to daily smoking, compared with complete abstinence.

Objectives: Middle- and low-income countries rarely have national surveillance data on smoking in pregnancy. This nationwide population-representative survey investigated pre- and post-partum smoking and their predictors in Serbia., Methods: Using stratified two-stage random cluster sampling, 2,721 women in 66 health care centres were interviewed at 3 and 6 months post-partum., Results: 37.2% of women smoked at some point in pregnancy (average 8.8 cigarettes/per day). Smoking at pregnancy onset and during pregnancy was associated with smoking by others in the home and lower education and family socio-economic status. Almost a quarter of women (23.2%) who quit smoking during pregnancy did not relapse 6 months post-partum. Older women, primiparae, university students and white-collar workers were more likely to successfully quit smoking. More than a half of women were exposed to SHS in their homes (57.6%) and 84.6% allowed smoking in their homes., Conclusion: Smoking during pregnancy in Serbia was two- to threefold higher than in the most affluent western countries. Target groups for action are women with lower education and socio-economic status, as well as health professionals and family members who smoke.

Aims: It has been hypothesized that the smoking population is represented by an increasingly 'hardcore' group of smokers who are resistant to quitting. Many definitions of 'hardcore smokers' have been used, but their predictive validity is unknown. To evaluate whether 'hardcore smoker' definition components predict quitting behaviours and which combinations of 'hardcore' components are most predictive., Design, Setting and Participants: Longitudinal, random telephone survey of a representative sample of adult smokers in Ontario, Canada (n = 4130, recruited 2005-08 and followed for 1 year)., Measurements: Multiple logistic regression models were compared to evaluate the predictive ability of 'hardcore' components (high daily cigarette consumption, high nicotine dependence, being a daily smoker, history of long-term smoking, no quit intention and no life-time quit attempt) on three outcomes [continued smoking, not attempting to quit and having unsuccessful quit attempt(s)]., Findings: All 'hardcore' components predicted having no quit attempt and continued smoking during follow-up (P < 0.05), except for history of long-term smoking and no life-time quit attempt (for continued smoking). Among respondents who made 1 + quit attempts during follow-up, only high nicotine dependence, high daily cigarette consumption and being a daily smoker were predictive of quitting failure (P < 0.01). The best combination of components depended on the outcome., Conclusions: Measures of 'hardcore' include a mixture of motivational, dependence and behavioural variables. As found previously, motivational and behavioural measures, such as intention to quit, predict failure to make quit attempts. However, dependence components best predicted continued smoking and thus would be best for further exploring the hardening hypothesis., (© 2012 The Authors, Addiction © 2012 Society for the Study of Addiction.)

Aims: This study explores differences in psychosocial, behavioral and clinical characteristics among smoking and non-smoking individuals with diabetes attending diabetes education centers (DEC)., Methods: A questionnaire was administered to 275 individuals with type 2 diabetes attending two DECs between October 2003 and 2005. The participants' characteristics were analyzed and multivariable linear and ordinal regressions were performed to adjust for variables correlated with smoking., Results: Findings revealed that smokers, compared to non-smokers, had lower outcome expectations of the benefits of self-management, lower diastolic blood pressure, and followed their recommended diet and tested blood glucose levels less often than non-smokers. Smokers also had lower intentions to use resources outside and within the DEC., Conclusions: Results demonstrate poorer self-care behaviors among smokers compared to non-smokers and further suggest cognitive and behavioral differences between smokers and non-smokers regarding participation and attitudes toward self-management practices. These findings identify issues that need to be addressed in diabetes self-management programs to allow for more effective interventions tailored to the healthcare needs of this specific population., (Copyright © 2011 Primary Care Diabetes Europe. Published by Elsevier Ltd. All rights reserved.)

Introduction: An unintended consequence of indoor smoking restrictions is the relocation of smoking to building entrances, where non-smokers may be exposed to secondhand smoke, and smoke from outdoor areas may drift through entrances, exposing people inside. Tobacco smoke has been linked to numerous health effects in non-smokers and there is no safe level of secondhand smoke (SHS) exposure. This paper presents data on levels of tobacco smoke inside and outside entrances to office buildings., Methods: Real-time air quality monitors were used to simultaneously measure respirable particulate matter (PM(2.5); air pollutant particles with a diameter of 2.5 μg or less) as a marker for tobacco smoke, outside and inside 28 entrances to office buildings in downtown Toronto, Ontario, in May and June 2008. Measurements were taken when smoking was and was not present within 9 m of entrances. Background levels of PM(2.5) were also measured for each session. A mixed model analysis was used to estimate levels of PM(2.5), taking into account repeated measurement errors., Results: Peak levels (10 s averages) of PM(2.5) were as high as 496 μg/m(3) when smoking was present. Mixed model analysis shows that the average outdoor PM(2.5) with smoking was significantly higher than the background level (p<0.0001), and significantly and positively associated with the number of lit cigarettes (p<0.0001). The average level of PM(2.5) with ≥ 5 lit cigarettes was 2.5 times greater than the average background level., Conclusions: These findings support smoke-free policies at entrances to buildings to protect non-smokers from exposure to tobacco smoke.

Background: Occasional smokers represent an important segment of all smokers and have been described to be a heterogeneous group in terms of past experience and likelihood of maintaining nondaily smoking behavior., Methods: In the prospective Ontario Tobacco Survey, 408 occasional smokers were followed for a year. Characteristics of subgroups of occasional smokers, as suggested by previous literature, were studied for personal and smoking behavior group differences. Agglomerative hierarchical clustering was also used to empirically identify subgroups of occasional smokers using average linkage. Smoking status at 1-year follow-up was examined overall and by the identified subgroups to determine if any were useful predictors of persistent status as nondaily smoking and likelihood of smoking cessation., Results: Significant differences were seen among the subgroups of occasional smokers suggested in previous studies including the number of quit attempts, setting a firm quit date, and whether or not participants cared others knew they smoked in descriptive analyses. Exploratory cluster analysis suggested 4 clusters of occasional smokers based on differences in age, perceived addiction, and history of daily smoking. Subgroups based on participants' history of smoking, self-reported addiction level, and empirically identified cluster subgroups resulted in significant differences of smoking status at 1-year follow-up., Conclusions: This study suggests that occasional smokers may be a heterogeneous group with different subgroups characterized by age, accumulated smoking experience and smoking pattern, as well as factors associated with the likelihood of quitting altogether, over time, and perceived addiction.

Many studies have evaluated the impact of indoor smoking bans on secondhand smoke (SHS) exposure. No studies have assessed the impact of a smoking ban on SHS in enclosed areas outside separately ventilated, designated smoking rooms (DSRs). This study evaluated the overall impact of the Smoke-Free Ontario Act implemented May 31, 2006, on SHS in bars and coffee shops and the impact of banning DSRs on SHS outside DSRs. Air particulate matter (PM) and carcinogenic particulate polycyclic aromatic hydrocarbons (PPAH) were measured in May 2006 before the ban inside and outside DSRs in Toronto venues (13 coffee shops and 14 bars) that allowed smoking only in DSRs, and in Windsor venues (10 coffee shops and 10 bars) where smoking was allowed in shared spaces. Measurements were repeated 2 months post-ban. Air quality index values (AQIs) were calculated. Mixed model analysis was applied, taking into account measurement errors for repeated measures. Post ban, mean PM and PPAH levels were reduced by 87% (from 494 to 67 mm(2)/m(3)) and 94% (from 196 to 11 ng/m(3)), respectively, inside Toronto DSRs. Mean PM and PPAH levels were reduced by 10% (from 124 to 111 mm(2)/m(3)) and 46% (from 45 to 24 ng/m(3)), respectively, outside Toronto DSRs. In all Windsor venues, mean PM and PPAH levels were reduced by 83% (from 488 to 81 mm(2)/m(3)) and 90% (from 107 to 10 ng/m(3)), respectively. All reductions were statistically significant (p < 0.0001). In Toronto venues, the AQI was reduced from the "very unhealthy" range inside DSRs and the "moderate" range outside Toronto DSRs to the "good" range, and in Windsor venues from the "unhealthy for sensitive groups" range to the "good" range post-ban. Pre-ban PPAH levels including those outside Toronto DSRs may be associated with cardiovascular injury. DSRs did not provide adequate protection from SHS. The Smoke-Free Ontario Act produced a significant and firm reduction in SHS exposure in venues both with and without DSRs.

Objective: To evaluate the impact of an indoor smoke-free bylaw in Toronto, Ontario, implemented June 2004., Methods: We used a pre-post comparison design to assess secondhand smoke (SHS) exposure among 79 eligible bar workers in Toronto, Ontario (bylaw enacted), and 49 eligible bar workers in a control community, Windsor, Ontario (no bylaw change), at four times: preban, and 1, 2, and 9 months postban., Results: SHS exposure time and urinary cotinine level were substantially reduced in Toronto bar workers immediately after the ban by 94% (from 7.8 to 0.5 hours) and 68% (from 24.2 to 7.8 ng/mL), respectively. The reduction was sustained throughout follow-up. There was no change among Windsor bar workers before and after the ban., Conclusions: Compliance with the ban was high, and the ban led to a substantial reduction in SHS exposure.

Aims: Non-First Nations people purchasing cigarettes on First Nations reserves do not pay applicable taxes. We estimated prevalence and identified correlates of purchasing contraband cigarettes on reserves; we also quantified the share of contraband purchased on reserves relative to reported total cigarette consumption and the associated financial impact on taxation revenue., Design: Data from the Ontario Tobacco Survey, a regionally stratified representative population telephone survey that over-samples smokers., Setting: Ontario, Canada., Participants: A total of 1382 adult current smokers., Measurements: Reported status of purchasing cigarettes on reserves and the quantity of cigarettes bought on reserves. The prevalence of purchasing cigarettes on reserves was assessed with descriptive statistics. A two-part model was used to analyse correlates of having recently purchased contraband., Findings: A total of 25.8% reported recent purchasing and 11.5% reported usual purchasing. Heavy smoking, having no plans to quit and lower education were correlated with recent purchasing. Heavy smoking and not having plans to quit were also correlated with buying more packs of cigarettes on reserves. Contraband purchases on reserves accounted for 14.0% of the reported total cigarette consumption and resulted in an estimated tax loss of $122.2 million., Conclusions: There was substantial purchasing of contraband cigarettes on reserves in Ontario, resulting in significant losses in tax revenues. The availability of these cheap cigarettes undermines the effectiveness of tobacco taxation to reduce smoking. Wherever indicated, governments should strengthen their contraband prevention and control measures, as recommended by the Framework Convention on Tobacco Control, to ensure that tobacco taxation achieves its intended health benefits and that tax revenues are protected.

Population-based samples of smokers are necessary for tobacco behavior monitoring and surveillance and for evaluating tobacco control programs and policies. We evaluated the sensitivity and specificity of a simple, one-question screener as a tool to maximize efficiency of obtaining a population representative sample of current smokers. This analysis was based on 5,002 respondents from the Ontario Tobacco Survey (OTS), a regionally stratified longitudinal survey of adult smokers and cross-sectional survey of nonsmokers in Ontario, Canada. Overall, the question "Have you smoked one or more cigarettes in the past six months?" achieved at least 99.7% sensitivity and 87.1% specificity when compared with several standard definitions of current smoking status. The brief screening question minimized respondent burden and data collection costs, and may have had a positive influence on response rate. Having a more conservative measure of smoking status permitted atypical smokers to be included in the survey which will allow us to track their behavior change and evaluate the performance of accepted smoking status definitions. We recommend that studies, which specifically sample smokers, utilize any past 6-month smoking as a brief screener for smoking status.

Nicotine addiction is believed to be a major impediment for many people in quitting smoking, but measures of nicotine dependence such as the Heaviness of Smoking Index (HSI) have had mixed success in predicting cessation. Using the National Population Health Survey, the relationship between HSI at baseline in cycle 2 (1996-1997) and successful smoking cessation at cycle 3 (1998-1999) and cycle 4 (2000-2001) was examined in 2938 Canadian adult smokers. A logistic regression model was developed for HSI as a predictor of smoking cessation, and then tested for interaction and confounding. The odds ratio of not smoking in cycle 3 was 2.08 (95% CI: 1.51, 2.86; p<0.001) for low HSI (<2) compared to medium HSI. When the period of follow-up was extended, individuals with both high (>4) HSI scores (OR 2.16; 95% CI: 1.11, 4.21; p=0.02) and low scores (OR 2.22; 95% CI: 1.41, 3.49) had higher odds of not smoking at both cycle 3 and cycle 4 than those with medium HSI scores. The likelihood of reporting cessation was higher than expected in the Canadian population among highly dependent smokers, particularly among older smokers, those with middle or greater income adequacy, and those with no intention to quit smoking. There were no substantial changes to the results when those lost-to-follow-up were treated as continuing smokers. These findings indicate that nicotine dependence is only one factor in succeeding at a quit attempt. Individual and population strategies for smoking cessation may need to consider other influences such as cognitive, affective and environmental factors.

Using data from the 2003 Ontario Student Drug Use Survey (Centre for Addiction and Mental Health, Toronto), the relationships between bullying and smoking in adolescents were examined. A representative sample of 3314 grade 7-12 students was included in the analysis. Models were adjusted for confounders identified in the current literature. Multinomial logistic regression showed that current smokers were more likely to be bullies than nonsmokers (relative risk ratio = 2.3, p < .001); being a current smoker was not associated with being a victim or a bully/victim (one who is both a bully and a victim). Moreover, gender was found to modify the effect of smoking on bullying status. Female smokers were more likely to be bullies and bully/victims than nonsmokers while there were no statistically significant differences for males. The associations between bullying status and smoking are consistent with those found in a multinational World Health Organization survey of adolescent health. Findings of the study suggested that girls were at much higher risk for involvement in bullying if they smoked, although girls were less frequently involved in bullying.

INTRODUCTION E-cigarettes have been steadily increasing in popularity, both as cessation methods for smoking and for recreational and social reasons. This increase in vaping may pose cardiovascular and respiratory risks. We aimed to assess respiratory symptoms in youth users of e-cigarettes and cigarettes. METHODS A retrospective survey design was utilized to assess Canadian youth aged 16-25 years. Participants were recruited from the Ontario Tobacco Research Unit Youth and Young Adult Research Registration Panel November 2020 to March 2021. A total of 3082 subjects completed the baseline survey. Of these, 2660 individuals who did not have asthma were included in the analysis. The exposure of interest was pack-equivalent years, a novel measure of vaping exposure equivalent conceptually to cigarette pack years incorporating number of puffs per day, number of days vaped per month, and number of years vaped. Respiratory symptoms were measured using the five-item Canadian Lung Health Test. Poisson regression analyses were performed while adjusting for demographic confounders, stratified by smoking status. A non-stratified model tested the interaction of status and vaping dose and the effect of vaping device used was assessed among ever vapers. Analyses controlled for demographic characteristics, use of cannabis and alcohol, and survey date. RESULTS Each additional puff year increased the rate ratio (RR) of respiratory symptoms by a factor of 11.36 (95% CI: 4.61-28.00; p<0.001) for never smokers, but among current daily smokers higher pack-equivalent years were not associated with more respiratory symptoms (RR=0.83; 95% CI: 0.23-3.11). Among current vapers, those using pod-style devices were more likely to have more respiratory symptoms (RR=1.25; 95% CI: 1.08-1.45) after adjusting for dose. CONCLUSIONS Vaping is associated with an increased risk of reporting respiratory symptoms among never smoking youth and non-daily ever cigarette smokers. Use of e-cigarettes among non-smokers should be discouraged. [ABSTRACT FROM AUTHOR]

Introduction: Socio-economic disparities in smoking rates persist, in Ontario, despite public health care and universal tobacco control policies. Mechanisms for continuing disparities are not fully understood. Unequal access or utilization of assistance for cessation may contribute. The objective of this research was to use longitudinal data on smokers to examine the associations between socioeconomic status (SES) and access to care measures and assisted and unassisted quit attempts.Methods: Data were taken from 3578 smokers with at least one follow-up interview participating in the Ontario Tobacco Survey (OTS). Multinomial regression models with imputed missing values were run for each measure of SES and access to care to assess the association with quitting behavior and use of assistance, unadjusted and while adjusting for smoking history and demographic covariates.Results: Adjusted analyses found smokers living in areas with the lowest ethnic concentration were more likely to make an assisted quit attempt compared to unassisted quitting (RR = 1.64; 95% CI = 1.08-2.50) or making no quit attempt (RR = 1.65; 95% CI = 1.15-2.37). Smokers who reported visiting a doctor in the previous 6 months were more likely to quit with assistance versus unassisted compared to those not visiting a doctor, whether they were advised (RR = 1.89, 95% CI = 1.43-2.48) or not advised to quit (OR = 1.32, 95% CI = 1.01-1.74). Similar results were seen when comparing assisted quit attempts with no quit attempts.Conclusions: Adjusted analyses showed that quitting with assistance was unrelated to measures of SES except ethnic concentration. Physician intervention with patients who smoke is important for increasing assisted quit attempts.Implications: For most measures of SES there were no significant associations with either assisted or unassisted quitting adjusting for demographic and smoking history. Smokers who live in areas with the lowest ethnic concentration were most likely to use assistance as were smokers who visited their doctor and were advised to quit smoking. Interventions to increase the delivery of effective quitting methods in smokers living in areas with high ethnic concentrations and to increase physician compliance with asking and advising patients to quit may increase assisted quit attempts. [ABSTRACT FROM AUTHOR]

Although the relationship between smoking and depression has been well-established, little is known about the association between use of e-cigarette and depression, particularly among youth and young adults. This study proposes that e-cigarette dependence, rather than simply use, serves as a potential stressor and may interact with pre-existing vulnerabilities to contribute to depression in youth, consistent with the diathesis-stress theory. This study examines the longitudinal association of vaping dependence and vaping frequency on depression symptoms among youth and young adults who have never smoked cigarettes. People who used e-cigarettes in the past month who reported never smoking a cigarette (N=1,226) aged between 16 and 25 years were followed longitudinally every 3 months for up to 1 year beginning in 2020. The Penn State E-Cigarette Dependence Index at time t was used to predict depression symptoms assessed using the Center for Epidemiologic Studies Depression Scale at time t+1. A total of 32.1% reported vaping in the past month with the Penn State E-Cigarette Dependence Index score (M=8.5) and a Center for Epidemiologic Studies Depression Scale score (M=15.8). Higher vaping dependence scores were significantly associated with increased depression symptoms scores at follow-up among youth and adults (β=0.08; 95% CI=0.01, 0.15), controlling for baseline depression symptom scores and covariates. Although vaping dependence was highly associated with vaping frequency level, no significant association between the frequency of vaping and depression was found (β= −0.33; 95% CI= 1.21, 0.54). These results are consistent with the diathesis-stress model of the relationship between substance use and depression. Vaping dependence but not vaping frequency was associated with increased depressive symptoms among people who never smoked cigarettes. [ABSTRACT FROM AUTHOR]

Background: The National Lung Screening Trial (NLST) results indicate that computed tomography (CT) lung cancer screening for current and former smokers with three annual screens can be cost-effective in a trial setting. However, the cost-effectiveness in a population-based setting with >3 screening rounds is uncertain. Therefore, the objective of this study was to estimate the cost-effectiveness of lung cancer screening in a population-based setting in Ontario, Canada, and evaluate the effects of screening eligibility criteria.Methods and Findings: This study used microsimulation modeling informed by various data sources, including the Ontario Health Insurance Plan (OHIP), Ontario Cancer Registry, smoking behavior surveys, and the NLST. Persons, born between 1940 and 1969, were examined from a third-party health care payer perspective across a lifetime horizon. Starting in 2015, 576 CT screening scenarios were examined, varying by age to start and end screening, smoking eligibility criteria, and screening interval. Among the examined outcome measures were lung cancer deaths averted, life-years gained, percentage ever screened, costs (in 2015 Canadian dollars), and overdiagnosis. The results of the base-case analysis indicated that annual screening was more cost-effective than biennial screening. Scenarios with eligibility criteria that required as few as 20 pack-years were dominated by scenarios that required higher numbers of accumulated pack-years. In general, scenarios that applied stringent smoking eligibility criteria (i.e., requiring higher levels of accumulated smoking exposure) were more cost-effective than scenarios with less stringent smoking eligibility criteria, with modest differences in life-years gained. Annual screening between ages 55-75 for persons who smoked ≥40 pack-years and who currently smoke or quit ≤10 y ago yielded an incremental cost-effectiveness ratio of $41,136 Canadian dollars ($33,825 in May 1, 2015, United States dollars) per life-year gained (compared to annual screening between ages 60-75 for persons who smoked ≥40 pack-years and who currently smoke or quit ≤10 y ago), which was considered optimal at a cost-effectiveness threshold of $50,000 Canadian dollars ($41,114 May 1, 2015, US dollars). If 50% lower or higher attributable costs were assumed, the incremental cost-effectiveness ratio of this scenario was estimated to be $38,240 ($31,444 May 1, 2015, US dollars) or $48,525 ($39,901 May 1, 2015, US dollars), respectively. If 50% lower or higher costs for CT examinations were assumed, the incremental cost-effectiveness ratio of this scenario was estimated to be $28,630 ($23,542 May 1, 2015, US dollars) or $73,507 ($60,443 May 1, 2015, US dollars), respectively. This scenario would screen 9.56% (499,261 individuals) of the total population (ever- and never-smokers) at least once, which would require 4,788,523 CT examinations, and reduce lung cancer mortality in the total population by 9.05% (preventing 13,108 lung cancer deaths), while 12.53% of screen-detected cancers would be overdiagnosed (4,282 overdiagnosed cases). Sensitivity analyses indicated that the overall results were most sensitive to variations in CT examination costs. Quality of life was not incorporated in the analyses, and assumptions for follow-up procedures were based on data from the NLST, which may not be generalizable to a population-based setting.Conclusions: Lung cancer screening with stringent smoking eligibility criteria can be cost-effective in a population-based setting. [ABSTRACT FROM AUTHOR]

Background There are important inequities in smoker access to clinic-based smoking cessation services. Low barrier high-reach interventions are proposed as solutions to these inequities. Although effective, telephone quitlines, which provide multi-session counselling but no medication, have low utilization with high attrition. The objective of this study was to determine the effectiveness of free nicotine replacement therapy (NRT), brief advice and self-help materials on quit attempts and 6-month quit rates in motivated smokers. Methods In this open-label naturalistic study, 14 000 treatments of 5 weeks in duration of either nicotine patch (n=10 000) or nicotine gum (n=4000) were made available to all eligible adult smokers in Ontario, Canada, who called a toll-free number to register with the STOP (Smoking Treatment for Ontario Patients) Study and receive a single brief intervention. The primary outcome measure was self-reported abstinence rates at 6 months post-treatment among STOP participants. These data were compared with quit rates that were reported in a concurrent no-intervention cohort of Ontario smokers matched for eligibility. Results 16 405 callers were assessed and 13143 eligible participants were mailed a treatment package with 5 weeks of NRT (choice of patch or gum), self-help and community resource materials. Among the 6261 participants who consented to follow-up, 2601 (42%) had complete follow-up data. Of those with complete follow-up data, the percentage reporting abstinence after 6 months in the treatment cohort was 21.4%, relative to 11.6% in the no-intervention cohort (rate ratio of 1.84; 95% CI 1.79 to 1.89), with the 30-day point prevalence of 17.8% and 9.8% for the intervention and no-intervention cohorts, respectively (rate ratio 1.81; CI 1.75 to 1.87). Conclusions Provision of free NRT by mail following a brief telephone intervention is an effective strategy to reach and assist a large number of smokers making a quit attempt. [ABSTRACT FROM AUTHOR]

Objectives Blue-collar workers are a recognised priority for tobacco control. Construction workers have very high smoking rates and are difficult to study and reach with interventions promoting smoke-free workplaces and cessation. The objectives of this study were to explore the smoking-related social climate in the North American residential construction sector and to identify potential barriers and facilitators to creating smokefree worksites. Methods The data source used was a popular internet forum on home building. Participants included a broad and unselected population of employers, employees and freelance tradespersons working in residential construction. The forum archive contained 10 years of discourse on the subjects of smoking, workplace secondhand smoke and smoking restrictions on construction sites. Qualitative data analysis methods were used to describe major and minor discussion themes relevant to workplace smoking culture and policies in this sector. Results Participants described considerable tension between smoking and non-smoking tradespersons, but there was also much interpersonal support for cessation and support for non-smokers' rights. Employers and employees described efforts to make construction sites smoke free, and a movement towards preferential hiring of non-smoking tradespersons was discussed. Board participants wanted detailed scientific evidence on secondhand smoke exposure levels and risk thresholds, particularly in open-air workplaces. Conclusions Experience with success of smoking bans in other challenging workplaces can be applied to the construction sector. Potential movement of smokers out of the workforce represents a challenge for public health systems to ensure equitable access to cessation supports and services. [ABSTRACT FROM AUTHOR]