Gera E. Nagelhout

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.

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.

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.

Comprehensive smoke-free policies attract more support from smokers in Europe than partial policies

BACKGROUND Support for smoke-free policies increases over time and particularly after implementation of the policy. In this study we examined whether the comprehensiveness of such policies moderates the effect on support among smokers. METHODS We analysed two waves (pre- and post-smoke-free legislation) of the International Tobacco Control (ITC) surveys in France, Germany, and the Netherlands, and two pre-legislation waves of the ITC surveys in UK as control. Of 6,903 baseline smokers, 4,945 (71.6%) could be followed up and were included in the analyses. Generalised Estimating Equations (GEE) were used to compare changes in support from pre- to post-legislation to the secular trend in the control country. Multiple logistic regression models were employed to identify predictors of individual change in support. FINDINGS In France, the comprehensive smoking ban was associated with sharp increases in support for a total smoking ban in drinking establishments and restaurants that were above secular trends. In Germany and the Netherlands, where smoke-free policies and compliance are especially deficient in drinking establishments, only support for a total smoking ban in restaurants increased above the secular trend. Notable prospective predictors of becoming supportive of smoking bans in these countries were higher awareness of cigarette smoke being dangerous to others and weekly visiting of restaurants. CONCLUSIONS Our findings suggest that smoke-free policies have the potential to improve support once the policy is in place. This effect seems to be most pronounced with comprehensive smoking bans, which thus might be the most valid option for policy-makers despite their potential for creating controversy and resistance in the beginning.

Comparative impact of smoke-free legislation on smoking cessation in three European countries

BACKGROUND Little is known about the differential impact of comprehensive and partial smoke-free legislation on smoking cessation. This study aimed to examine the impact of comprehensive smoke-free workplace legislation in Ireland and England, and partial hospitality industry legislation in the Netherlands on quit attempts and quit success. METHODS Nationally representative samples of 2,219 adult smokers were interviewed in three countries as part of the International Tobacco Control (ITC) Europe Surveys. Quit attempts and quit success were compared between period 1 (in which smoke-free legislation was implemented in Ireland and the Netherlands) and period 2 (in which smoke-free legislation was implemented in England). RESULTS In Ireland, significantly more smokers attempted to quit smoking in period 1 (50.5%) than in period 2 (36.4%) (p < 0.001). Percentages of quit attempts and quit success did not change significantly between periods in the Netherlands. English smokers were significantly more often successful in their quit attempt in period 2 (47.3%) than in period 1 (26.4%) (p = 0.011). In the first period there were more quit attempts in Ireland than in England and fewer in the Netherlands than in Ireland. Fewer smokers quitted successfully in the second period in both Ireland and the Netherlands than in England. CONCLUSION The comprehensive smoke-free legislation in Ireland and England may have had positive effects on quit attempts and quit success respectively. The partial smoke-free legislation in the Netherlands probably had no effect on quit attempts or quit success. Therefore, it is recommended that countries implement comprehensive smoke-free legislation.

The U.S. National Tips From Former Smokers Antismoking Campaign Promoting Awareness of Smoking-Related Risks, Cessation Resources, and Cessation Behaviors

Objective. Evaluate the second flight of the U.S. Tips From Former Smokers (Tips) campaign. Method. Data were analyzed from an online consumer panel of U.S. adult smokers before (n = 1,404) and after (n = 1,401) the 2013 Tips campaign launch. Generalized estimating equation models assessed whether the Tips advertisement recall was associated with knowledge about smoking-related risks in the Tips advertisements, awareness and use of a toll-free quitline and cessation websites, and quit attempts. Results. Seventy-one percent of participants at Wave 2 reported that they recalled seeing at least one Tips advertisement. Smokers who recalled seeing a Tips advertisement were more likely to (a) show increases over baseline in knowledge of health risks such as amputation: 65% versus 34%, p < .001; blindness: 27% versus 12%, p < .001; and (b) to be aware of a quitline (41% vs. 30%, p < .001) and cessation website (28% vs. 20%, p < .001). Recall of Tips advertisements was also associated with greater likelihood of reporting having visited cessation websites (odds ratio [OR] = 1.62, 95% confidence interval [CI] = 1.27-2.06), having called a quitline (OR = 2.28, 95% CI = 1.61-3.24), and having made a quit attempt (OR = 1.18, 95% CI = 1.00-1.39), although these results were only statistically significant in the unadjusted models. Conclusions. The 2013 Tips campaign was successful in increasing knowledge of health risks and awareness of tobacco cessation resources.

Socioeconomic and country variations in cross-border cigarette purchasing as tobacco tax avoidance strategy. Findings from the ITC Europe Surveys

Background Legal tobacco tax avoidance strategies such as cross-border cigarette purchasing may attenuate the impact of tax increases on tobacco consumption. Little is known about socioeconomic and country variations in cross-border purchasing. Objective To describe socioeconomic and country variations in cross-border cigarette purchasing in six European countries. Methods Cross-sectional data from adult smokers (n=7873) from the International Tobacco Control (ITC) Surveys in France (2006/2007), Germany (2007), Ireland (2006), The Netherlands (2008), Scotland (2006) and the rest of the UK (2007/2008) were used. Respondents were asked whether they had bought cigarettes outside their country in the last 6 months and how often. Findings In French and German provinces/states bordering countries with lower cigarette prices, 24% and 13% of smokers, respectively, reported purchasing cigarettes frequently outside their country. In non-border regions of France and Germany, and in Ireland, Scotland, the rest of the UK and The Netherlands, frequent purchasing of cigarettes outside the country was reported by 2–7% of smokers. Smokers with higher levels of education or income, younger smokers, daily smokers, heavier smokers and smokers not planning to quit smoking were more likely to purchase cigarettes outside their country. Conclusions Cross-border cigarette purchasing is more common in European regions bordering countries with lower cigarette prices and is more often reported by smokers with higher education and income. Increasing taxes in countries with lower cigarette prices, and reducing the number of cigarettes that can be legally imported across borders could help to avoid cross-border purchasing.

Influences of Self-Efficacy, Response Efficacy, and Reactance on Responses to Cigarette Health Warnings: A Longitudinal Study of Adult Smokers in Australia and Canada

ABSTRACT Guided by the extended parallel process model (EPPM) and reactance theory, this study examined the relationship between efficacy beliefs, reactance, and adult smokers’ responses to pictorial health warning labels (HWL) on cigarette packaging, including whether efficacy beliefs or reactance modify the relationship between HWL responses and subsequent smoking cessation behavior. Four waves of data were analyzed from prospective cohorts of smokers in Australia and Canada (n = 7,120 observations) over a period of time after implementation of more prominent, pictorial HWLs. Three types of HWL responses were studied: psychological threat responses (i.e., thinking about risks from smoking), forgoing cigarettes due to HWLs, and avoiding HWLs. The results from Generalized Estimating Equation models indicated that stronger efficacy beliefs and lower trait reactance were significantly associated with greater psychological threat responses to HWLs. Similar results were found for models predicting forgoing behavior, although response efficacy was inversely associated with it. Only response efficacy was significantly associated with avoiding HWLs, showing a positive relationship. Higher self-efficacy and stronger responses to HWLs, no matter the type, were associated with attempting to quit in the follow-up period; reactance was unassociated. No statistically significant interactions were found. These results suggest that stronger efficacy beliefs and lower trait reactance are associated with some stronger responses to fear-arousing HWL responses; however, these HWL responses appear no less likely to lead to cessation attempts among smokers with different levels of self-efficacy to quit, of response efficacy beliefs, or of trait reactance against attempts to control their behavior.

Pathways of change explaining the effect of smoke-free legislation on smoking cessation in The Netherlands. An application of the international tobacco control conceptual model.

INTRODUCTION This study aims to test the pathways of change from individual exposure to smoke-free legislation on smoking cessation, as hypothesized in the International Tobacco Control (ITC) Conceptual Model. METHODS A nationally representative sample of Dutch smokers aged 15 years and older was surveyed during 4 consecutive annual surveys. Of the 1,820 baseline smokers, 1,012 participated in the fourth survey. Structural Equation Modeling was employed to test a model of the effects of individual exposure to smoke-free legislation through policy-specific variables (support for smoke-free legislation and awareness of the harm of [secondhand] smoking) and psychosocial mediators (attitudes, subjective norm, self-efficacy, and intention to quit) on quit attempts and quit success. RESULTS The effect of individual exposure to smoke-free legislation on smoking cessation was mediated by 1 pathway via support for smoke-free legislation, attitudes about quitting, and intention to quit smoking. Exposure to smoke-free legislation also influenced awareness of the harm of (secondhand) smoking, which in turn influenced the subjective norm about quitting. However, only attitudes about quitting were significantly associated with intention to quit smoking, whereas subjective norm and self-efficacy for quitting were not. Intention to quit predicted quit attempts and quit success, and self-efficacy for quitting predicted quit success. CONCLUSIONS Our findings support the ITC Conceptual Model, which hypothesized that policies influence smoking cessation through policy-specific variables and psychosocial mediators. Smoke-free legislation may increase smoking cessation, provided that it succeeds in influencing support for the legislation.