INTRODUCTION Although recent research shows that smokers respond differently to the COVID-19 pandemic, it offers little explanation of why some have increased their smoking, while others decreased it. In this study, we examined a possible explanation for these different responses: pandemic-related stress. METHODS We conducted an online survey among a representative sample of Dutch current smokers from 11-18 May 2020 (n=957). During that period, COVID-19 was six weeks past the (initial) peak of cases and deaths in the Netherlands. Included in the survey were measures of how the COVID-19 pandemic had changed their smoking, if at all (no change, increased smoking, decreased smoking), and a measure of stress due to COVID-19. RESULTS Overall, while 14.1% of smokers reported smoking less due to the COVID-19 pandemic, 18.9% of smokers reported smoking more. A multinomial logistic regression analysis revealed that there was a dose-response effect of stress: smokers who were somewhat stressed were more likely to have either increased (OR=2.37; 95% CI: 1.49-3.78) or reduced (OR=1.80; 95% CI: 1.07-3.05) their smoking. Severely stressed smokers were even more likely to have either increased (OR=3.75; 95% CI: 1.84-7.64) or reduced (OR=3.97; 95% CI: 1.70-9.28) their smoking. Thus, stress was associated with both increased and reduced smoking, independently from perceived difficulty of quitting and level of motivation to quit. CONCLUSIONS Stress related to the COVID-19 pandemic appears to affect smokers in different ways, some smokers increase their smoking while others decrease it. While boredom and restrictions in movement might have stimulated smoking, the threat of contracting COVID-19 and becoming severely ill might have motivated others to improve their health by quitting smoking. These data highlight the importance of providing greater resources for cessation services and the importance of creating public campaigns to enhance cessation in this dramatic time.

Background: In recent years, electronic cigarettes (e-cigarettes) have generated considerable interest and debate on the implications for tobacco control and public health. Although the rapid growth of e-cigarettes is global, at present, little is known about awareness and use. This paper presents self-reported awareness, trial and current use of e-cigarettes in 10 countries surveyed between 2009 and 2013; for six of these countries, we present the first data on e-cigarettes from probability samples of adult smokers. Methods: A cross-sectional analysis of probability samples of adult (≥ 18 years) current and former smokers participating in the International Tobacco Control (ITC) surveys from 10 countries. Surveys were administered either via phone, face-to-face interviews, or the web. Survey questions included sociodemographic and smoking-related variables, and questions about e-cigarette awareness, trial and current use. Results: There was considerable cross-country variation by year of data collection and for awareness of e-cigarettes (Netherlands (2013: 88%), Republic of Korea (2010: 79%), United States (2010: 73%), Australia (2013: 66%), Malaysia (2011: 62%), United Kingdom (2010: 54%), Canada (2010: 40%), Brazil (2013: 35%), Mexico (2012: 34%), and China (2009: 31%)), in self-reports of ever having tried e-cigarettes (Australia, (20%), Malaysia (19%), Netherlands (18%), United States (15%), Republic of Korea (11%), United Kingdom (10%), Mexico (4%), Canada (4%), Brazil (3%), and China (2%)), and in current use (Malaysia (14%), Republic of Korea (7%), Australia (7%), United States (6%), United Kingdom (4%), Netherlands (3%), Canada (1%), and China (0.05%)). Conclusions: The cross-country variability in awareness, trial, and current use of e-cigarettes is likely due to a confluence of country-specific market factors, tobacco control policies and regulations (e.g., the legal status of e-cigarettes and nicotine), and the survey timing along the trajectory of e-cigarette awareness and trial/use in each country. These ITC results constitute an important snapshot of an early stage of what appears to be a rapid progression of global e-cigarette use.

Introduction: Limited longitudinal studies on smoking cessation have been reported in Asia, and it remains unclear whether determinants of quitting are similar to those found in Western countries. This study examined prospective predictors of smoking cessation among adult smokers in Thailand and Malaysia.Methods: Four thousand and four smokers were surveyed in Malaysia and Thailand in 2005. Of these, 2,426 smokers were followed up in 2006 (61% retention). Baseline measures of sociodemographics, dependence, and interest in quitting were used to predict both making quit attempts and point prevalence maintenance of cessation.Results: More Thai than Malaysian smokers reported having made quit attempts between waves, but among those who tried, the rates of staying quit were not considerably different between Malaysians and Thais. Multivariate analyses showed that smoking fewer cigarettes per day, higher levels of self-efficacy, and more immediate quitting intentions were predictive of both making a quit attempt and staying quit in both countries. Previous shorter quit attempts and higher health concerns about smoking were only predictive of making an attempt, whereas prior abstinence for 6 months or more and older age were associated with maintenance.Discussion: In Malaysia and Thailand, predictors of quitting activity appear to be similar. However, as in the West, predictors of making quit attempts are not all the same as those who predict maintenance. The actual predictors differ in potentially important ways from those found in the West. We need to determine the relative contributions of cultural factors and the shorter history of efforts to encourage quitting in Asia.

Introduction:In this study, we aimed to examine, in Thailand, the impact on smokers’ reported awareness of and their cognitive and behavioral reactions following the change from text-only to pictorial warnings printed on cigarette packs. We also sought to explore differences by type of cigarette smoked (roll-your-own [RYO] vs. factory-made [FM] cigarettes).Methods:Data came from the International Tobacco Control Southeast Asia Survey, conducted in Thailand and Malaysia, where a representative sample of 2,000 adult smokers from each country were recruited and followed up. We analyzed data from one wave before (Wave 1) and two waves after the implementation of the new pictorial warnings (two sets introduced at Waves 2 and 3, respectively) in Thailand, with Malaysia, having text-only warnings, serving as a control.Results:Following the warning label change in Thailand, smokers’ reported awareness and their cognitive and behavioral reactions increased markedly, with the cognitive and behavioral effects sustained at the next follow-up. By contrast, no significant change was observed in Malaysia over the same period. Compared to smokers who smoke any FM cigarettes, smokers of only RYO cigarettes reported a lower salience but greater cognitive reactions to the new pictorial warnings.Conclusions:The new Thai pictorial health warning labels have led to a greater impact than the text-only warning labels, and refreshing the pictorial images may have helped sustain effects. This finding provides strong support for introducing pictorial warning labels in low- and middle-income countries, where the benefits may be even greater, given the lower literacy rates and generally lower levels of readily available health information on the risks of smoking.

ObjectiveTo evaluate the impact of menthol cigarette bans in seven Canadian provinces between 2016 and 2018.MethodsLongitudinal data from the Canadian arm of the 2016 and 2018 ITC Four Country Smoking and Vaping Survey. 1098 non-menthol and 138 menthol smokers were surveyed pre-menthol and post-menthol cigarette bans. Multivariate logistic regression models examined associations between pre-post ban changes in smoking behaviour, including differences between menthol and non-menthol smokers in quit attempts and quitting.ResultsAt follow-up, 59.1% of pre-ban menthol smokers switched to non-menthol cigarettes; 21.5% quit smoking and 19.5% still smoked menthols, primarily purchased from First Nations reserves. Menthol smokers were more likely than non-menthol smokers to make a quit attempt (adjusted OR (aOR)=1.61, 95% CI 1.03 to 2.51), and to remain quit (aOR=2.30, 95% CI 1.06 to 5.01). Menthol smokers did not differ significantly from non-menthol smokers in quit success (aOR=1.72, 95% CI 0.98 to 3.01); however, daily menthol smokers were more likely than daily non-menthol smokers to quit (aOR=2.21, 95% CI 1.15 to 4.24), and daily menthol smokers who quit before the ban were more likely than daily non-menthol smokers to remain quit (aOR=2.81, 95% CI 1.15 to 6.85).ConclusionsAlthough menthol smokers were most likely to switch to non-menthol cigarettes, the menthol ban was also significantly associated with higher rates of quit attempts and quit success among menthol smokers compared with non-menthol smokers, and may have helped to prevent relapse among menthol smokers who had quit smoking before the ban. Results confirm and extend evaluation of Ontario’s menthol ban across provinces covering 83% of the Canadian population.