Marc C. Willemsen

Lung cancer screening and smoking abstinence: 2 year follow-up data from the Dutch–Belgian randomised controlled lung cancer screening trial

Background Lung cancer screening may provide a new opportunity for attempts to quit among smokers or might delay smoking cessation, but studies to date failed to provide evidence for this. This study investigated the effect of lung cancer screening on smoking abstinence in male smokers participating in the Dutch–Belgian randomised controlled lung cancer screening trial (NELSON trial). Methods In the NELSON trial, 50- to 75-year-old participants at high risk for developing lung cancer were randomised to either lung cancer screening or no screening. Smoking behaviour was evaluated in two random samples of male smokers in the screen (n=641) and control arm (n=643) before (T0) and 2 years after randomisation (T1). In addition, the data were also analysed by intention-to-treat (ITT) analysis, as recommended in smoking cessation intervention trials, although non-response in screening trials can also be due to reasons other than continued smoking. Results Almost 17% (16.6%) of the trial participants quit smoking, which is higher than the 3–7% found in the general adult population. However, screening was associated with a lower prolonged abstinence rate (14.5%) compared with no screening (19.1%) (OR 1.40, 95% CI 1.01 to 1.92; p<0.05). No stastistically significant difference was found after performing an ITT analysis. Conclusions This study showed that all trial participants were inclined to stop smoking more than average, which suggests that screening is a teachable moment to improve smoking behaviour. In those who underwent screening the smoking abstinence rate was significantly lower than for the control group, although the difference was modest. After ITT analysis this difference was no longer observed. Clinical trial number ISRCTN63545820.

Trends in socioeconomic inequalities in smoking prevalence, consumption, initiation, and cessation between 2001 and 2008 in the Netherlands. Findings from a national population survey

BackgroundWidening of socioeconomic status (SES) inequalities in smoking prevalence has occurred in several Western countries from the mid 1970’s onwards. However, little is known about a widening of SES inequalities in smoking consumption, initiation and cessation.MethodsRepeated cross-sectional population surveys from 2001 to 2008 (n ≈ 18,000 per year) were used to examine changes in smoking prevalence, smoking consumption (number of cigarettes per day), initiation ratios (ratio of ever smokers to all respondents), and quit ratios (ratio of former smokers to ever smokers) in the Netherlands. Education level and income level were used as indicators of SES and results were reported separately for men and women.ResultsLower educated respondents were significantly more likely to be smokers, smoked more cigarettes per day, had higher initiation ratios, and had lower quit ratios than higher educated respondents. Income inequalities were smaller than educational inequalities and were not all significant, but were in the same direction as educational inequalities. Among women, educational inequalities widened significantly between 2001 and 2008 for smoking prevalence, smoking initiation, and smoking cessation. Among low educated women, smoking prevalence remained stable between 2001 and 2008 because both the initiation and quit ratio increased significantly. Among moderate and high educated women, smoking prevalence decreased significantly because initiation ratios remained constant, while quit ratios increased significantly. Among men, educational inequalities widened significantly between 2001 and 2008 for smoking consumption only.ConclusionsWhile inequalities in smoking prevalence were stable among Dutch men, they increased among women, due to widening inequalities in both smoking cessation and initiation. Both components should be addressed in equity-oriented tobacco control policies.

Interpersonal Communication as an Indirect Pathway for the Effect of Antismoking Media Content on Smoking Cessation

In the context of health campaigns, interpersonal communication can serve at least 2 functions: (a) to stimulate change through social interaction and (b) in a secondary diffusion process, to further disseminate message content. In a 3-wave prospective study of 1,079 smokers, the authors demonstrate that mass media messages (antismoking campaigns and news coverage relevant to smoking cessation) have an indirect effect on smoking cessation intention and behavior via interpersonal communication. Exposure to campaigns and news coverage prompts discussion about the campaigns, and, in turn, about smoking cessation. Interpersonal communication regarding smoking cessation then influences intention to quit smoking and attempts to quit smoking. The study finds evidence not only for the social interaction function of interpersonal communication, but also for the secondary diffusion function. A substantial number of smokers who are not directly exposed to the antismoking campaigns are nevertheless indirectly exposed via communication with people who have seen these campaigns. These results imply that encouragement of interpersonal communication can be an important campaign objective.

Awareness, Trial, and Current Use of Electronic Cigarettes in 10 Countries: Findings from the ITC Project

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.

Cessation assistance reported by smokers in 15 countries participating in the International Tobacco Control (ITC) policy evaluation surveys.

AIMS To describe some of the variability across the world in levels of quit smoking attempts and use of various forms of cessation support. DESIGN Use of the International Tobacco Control Policy Evaluation Project surveys of smokers, using the 2007 survey wave (or later, where necessary). SETTINGS Australia, Canada, China, France, Germany, Ireland, Malaysia, Mexico, the Netherlands, New Zealand, South Korea, Thailand, United Kingdom, Uruguay and United States. PARTICIPANTS Samples of smokers from 15 countries. MEASUREMENTS Self-report on use of cessation aids and on visits to health professionals and provision of cessation advice during the visits. FINDINGS Prevalence of quit attempts in the last year varied from less than 20% to more than 50% across countries. Similarly, smokers varied greatly in reporting visiting health professionals in the last year (<20% to over 70%), and among those who did, provision of advice to quit also varied greatly. There was also marked variability in the levels and types of help reported. Use of medication was generally more common than use of behavioural support, except where medications are not readily available. CONCLUSIONS There is wide variation across countries in rates of attempts to stop smoking and use of assistance with higher overall use of medication than behavioural support. There is also wide variation in the provision of brief advice to stop by health professionals.

The effects of smoking self-identity and quitting self-identity on attempts to quit smoking

OBJECTIVE To examine the effect of two types of self-identity on attempts to quit smoking: self-identity in terms of smoking and self-identity in terms of quitting. DESIGN A prospective survey among an initial sample of 3,411 smokers. Smoking history variables and psychosocial variables from the theory of planned behavior are also measured. MAIN OUTCOME MEASURES Intention to quit smoking and smoking cessation attempts 4 months later. RESULTS Both smoking identity and quitting identity matter, but they appear to play different roles in explaining intention to quit and in predicting actual attempts to quit. Quitting identity is particularly important for intention to quit, whereas both quitting identity and smoking identity are important for actually trying to quit. Recent attempts to quit slightly attenuate the negative effect of smoking identity on attempts to quit. CONCLUSION A broader interpretation of self-identity in terms of both current and aspired behavior offers a better understanding of when people might change health-relevant behavior.

The population impact of smoke-free workplace and hospitality industry legislation on smoking behaviour. Findings from a national population survey

AIMS To study the impact of implementing smoke-free workplace and hospitality industry legislation on smoking behaviour. DESIGN, SETTING AND PARTICIPANTS A cross-sectional population survey from 2001 to 2008 (n ≈ 18,000 per year) was used to assess trends and seasonal patterns in smoking and quitting, and to examine whether changes could be observed after the workplace smoking ban in the Netherlands in 2004 and the hospitality industry ban in 2008. MEASUREMENTS Outcome measures were smoking prevalence, quit attempts and successful quit attempts. Interactions with educational level (socio-economic status) and bar visiting (exposure to the hospitality industry ban) were tested. FINDINGS The workplace ban was followed by a decrease in smoking prevalence (OR = 0.91, P < 0.001), but the hospitality industry ban was not (OR = 0.96, P = 0.127). Both bans, especially the workplace ban, were followed by an increase in quit attempts and successful quit attempts: workplace ban, OR = 1.31, P < 0.001; OR = 1.49, P < 0.001; hospitality industry ban, OR = 1.13, P = 0.013; OR = 1.44, P < 0.001. The workplace ban had a larger effect on successful quitting among higher-educated (OR = 0.35, P < 0.001) than on lower-educated respondents (OR = 0.74, P = 0.052). The hospitality industry ban had a larger effect on quit attempts among frequent bar visitors (OR = 1.48, P = 0.003) than on non-bar visitors (OR = 0.71, P = 0.014). CONCLUSIONS A workplace smoking ban in the Netherlands was followed by more changes in smoking and quitting than a hospitality industry ban. The hospitality industry ban only appeared to have an impact on quit attempts, and not on smoking prevalence.

The effect of tobacco control policies on smoking prevalence and smoking-attributable deaths. Findings from the Netherlands SimSmoke Tobacco Control Policy Simulation Model.

AIM To develop a simulation model projecting the effect of tobacco control policies in the Netherlands on smoking prevalence and smoking-attributable deaths. DESIGN, SETTING AND PARTICIPANTS Netherlands SimSmoke-an adapted version of the SimSmoke simulation model of tobacco control policy-uses population, smoking rates and tobacco control policy data for the Netherlands to predict the effect of seven types of policies: taxes, smoke-free legislation, mass media, advertising bans, health warnings, cessation treatment and youth access policies. MEASUREMENTS Outcome measures were smoking prevalence and smoking-attributable deaths. FINDINGS With a comprehensive set of policies, as recommended by MPOWER, smoking prevalence can be decreased by as much as 21% in the first year, increasing to a 35% reduction in the next 20 years and almost 40% by 30 years. By 2040, 7706 deaths can be averted in that year alone with the stronger set of policies. Without effective tobacco control policies, almost a million lives will be lost to tobacco-related diseases between 2011 and 2040. Of those, 145,000 can be saved with a comprehensive tobacco control package. CONCLUSIONS Smoking prevalence and smoking-attributable deaths in the Netherlands can be reduced substantially through tax increases, smoke-free legislation, high-intensity media campaigns, stronger advertising bans and health warnings, comprehensive cessation treatment and youth access laws. The implementation of these FCTC/MPOWER recommended policies could be expected to show similar or even larger relative reductions in smoking prevalence in other countries which currently have weak policies.

The impact of a lung cancer computed tomography screening result on smoking abstinence

Receiving a lung cancer computed tomography screening result might be a teachable moment for smoking cessation, but it might also unintentionally reassure smokers to continue smoking. The objective of the present study was to investigate whether test results were associated with smoking abstinence in the Dutch–Belgian Randomised Controlled Lung Cancer Screening Trial (NELSON trial). Two random samples of male smokers who had received either only negative test results (n = 550) or one or more indeterminate test result (n = 440) were sent a questionnaire 2 yrs after randomisation. Smokers with an indeterminate result reported more quit attempts (p = 0.02), but the prolonged abstinence rate in smokers receiving a negative test (46 (8.9%) out of 519 subjects) was comparable with the abstinence rate in smokers with one or more indeterminate results (48 (11.5%) out of 419 subjects) (p = 0.19). A statistically insignificant increase was found after one or more indeterminate test result (10.9 and 15.0%, respectively) compared with receiving only negative test results (8.9%) (p = 0.26). In conclusion, the outcome of the screening test had no impact on future smoking abstinence in male smokers, although all results suggest more favourable implications after one or more follow-up recommendations. Screening test outcomes could be used as a teachable moment for smoking cessation.

Prevalence and reasons for use of electronic cigarettes among smokers: Findings from the International Tobacco Control (ITC) Netherlands Survey

BACKGROUND Not much is known about how people in the Netherlands respond to electronic cigarettes (e-cigarettes); how many know about them, which people try them, keep using them and why, and what are changes over time regarding awareness and use? METHODS We used samples of smokers aged 15 years and older from 2008 (n=1820), 2010 (n=1702), 2013 (n=1530), and 2014 (n=1550) as part of the International Tobacco Control (ITC) Netherlands Survey. Reasons for use and characteristics of smokers were examined using the sample from 2014. Logistic regression analyses were conducted to evaluate the associations between smoking-related variables with ever trying e-cigarettes and current e-cigarette use. RESULTS In 2014, 91.4% of Dutch smokers reported being aware of e-cigarettes (97.1% in 2008, 89.2% in 2010, and 85.5% in 2013), 40.0% reported having ever tried them (13.4% in 2008, 14.5% in 2010, and 19.6% in 2013), and 15.9% were currently using them (4.0% in 2008, 1% in 2010, and 3.9% in 2013). The main reason given for using e-cigarettes was to reduce the number of regular cigarettes smoked per day (79%). Ever trying e-cigarettes among those aware of e-cigarettes was associated with being young, smoking more regular cigarettes per day, having made a quit attempt in the last year, having used smoking cessation pharmacotherapy in the last year, and reporting high awareness of the price of regular cigarettes. Smokers who kept using e-cigarettes had a higher educational background, had higher harm awareness for the health of others, and were less likely to have a total smoking ban at home. CONCLUSION E-cigarettes are increasingly used by Dutch smokers. Commonly endorsed motivations for current e-cigarette use were to reduce tobacco smoking and because e-cigarettes are considered to be less harmful than tobacco cigarettes.