Tobacco control policy strategies to contribute to the EU’s tobacco-free generation goal:Tobacco control policy strategies to contribute to the EU’s tobacco-free generation goal

In 2021, the European Union's (EU) ‘Europe's Beating Cancer Plan’ set the goal to achieve a tobacco-free generation in Europe by 2040, which means that less than 5% of people will use tobacco. The EU proposed policies to address internationally relevant issues such as tobacco taxation, cross-border purchases, packaging, flavours, and online advertising. However, many tobacco control policies need to be adopted and implemented at the national or local level. It is therefore important to exchange research findings and insights on national tobacco control policies. In this workshop we present results mainly from the Netherlands. With a 21% smoking prevalence and scores 53 out of 100 points on the Tobacco Control Scale, it may therefore be considered an average European country in terms of its tobacco control. However, the Netherlands has progressed its tobacco control policies in recent years, in part due to the 2018 National Prevention Agreement. This Agreement included the same goal as the European tobacco-free generation goal. Achieving a tobacco-free generation requires the prevention of smoking initiation among young people, but also smoking cessation among those who already smoke. This is especially important among lower socioeconomic groups, as the smoking prevalence in these groups is higher both in adults and adolescents. Therefore, smoking and tobacco products need to be less visible and available in the environment, and easily accessible smoking cessation support needs to be provided. With this workshop, we cluster very recent evidence on the EU's tobacco-free generation goal. We will present evidence on four policy strategies for the smoke-free generation, in which their potential impact and challenges in implementation will be discussed. These presentations will be followed by a plenary discussion on the implications and the relevance of the four strategies taking into account differences between international settings. The presentations will focus on four policy areas: • Policies to reduce smoke-exposure in and around sport clubs • Policies to reduce availability of tobacco products in the retail environment • Policies to reduce smoke-exposure in hospitality venues and homes • Policies to increase access to smoking cessation The objectives of the workshop are: 1. Present evidence of four tobacco control policies strategies 2. Discussion of the international relevance and implications of the results Key messages • We present on multiple settings that can be further capitalised on to achieve a non-smoking norm, including sports clubs, retail outlets, hospitality venues, and the home environment. • The majority of European countries currently does not have strong tobacco control policies in the presented settings, and the potential of such policies throughout Europe will be discussed

The role of self-control and cognitive functioning in educational inequalities in adolescent smoking and binge drinking

Abstract Background Large differences in substance use between educational levels originate at a young age, but there is limited evidence explaining these inequalities. The aim of this study was to test whether a) smoking and binge drinking are associated with lower levels of self-control and cognitive functioning, and b) associations between educational track and smoking and binge drinking, respectively, are attenuated after controlling for self-control and cognitive functioning. Methods This study used cross-sectional survey data of 15 to 20-year-olds (N = 191) from low, middle, and high educational tracks. We measured regular binge drinking and regular smoking (more than once a month), cognitive functioning (cognitive ability, reaction time and memory span), and self-control. Logistic regression models were used to assess the associations between educational track and smoking and binge drinking controlled for age, gender and social disadvantage, and for self-control and cognitive functioning. Results According to models that controlled for age, gender and social disadvantage only, respondents in the low educational track were more likely to drink heavily (OR = 3.25, 95% CI = 1.48–7.17) and smoke (OR = 5.74, 95% CI = 2.31–14.29) than adolescents in the high educational track. The association between educational track and binge drinking was hardly reduced after adjustment for self-control and cognitive ability (OR = 2.88, 95% CI = 1.09–7.62). Adjustment for self-control and cognitive functioning, especially cognitive ability, weakened the association between education and smoking (OR = 3.40, 95% CI = 1.11–10.37). However, inequalities in smoking remained significant and substantial. Conclusions In this study population, pre-existing variations between adolescents in terms of self-control and cognitive functioning played a minor role in educational inequalities in smoking, but not in binge drinking

Impact of a ban on the open display of tobacco products in retail outlets on never smoking youth in the UK:findings from a repeat cross-sectional survey before, during and after implementation

Background In the UK, a ban on the open display of tobacco products at the point of sale (POS) was phased in between 2012 and 2015. We explored any impact of the ban on youth before, during and after implementation. Methods A repeat cross-sectional in-home survey with young people aged 11-16 years old in the UK was conducted preban (2011, n=1373), mid-ban (2014, n=1205) and postban (2016, n=1213). The analysis focuses on the never-smokers in the sample (n=2953 in total). Preban, we quantified the associations of noticing cigarettes displayed at POS and cigarette brand awareness with smoking susceptibility. We measured any change in noticing cigarettes displayed at POS, cigarette brand awareness and smoking susceptibility between preban, mid-ban and postban. Postban, we assessed support for a display ban, perceived appeal of cigarettes and perceived acceptability of smoking as a result of closed displays. Results Preban, noticing cigarettes displayed at POS (adjusted OR [AOR]=1.97, 95% CI 1.30 to 2.98) and higher brand awareness (AOR=1.15, 95% CI 1.03 to 1.29) were positively associated with smoking susceptibility. The mean number of brands recalled declined from 0.97 preban to 0.69 postban (p < 0.001). Smoking susceptibility decreased from 28% preban to 23% mid-ban and 18% postban (p for trend < 0.001). Postban, 90% of never-smokers supported the display ban and indicated that it made cigarettes seem unappealing (77%) and made smoking seem unacceptable (87%). Conclusions Both partial and full implementation of a display ban were followed by a reduction in smoking susceptibility among adolescents, which may be driven by decreases in brand awareness

Association between smoke-free legislation in hospitality venues and smoking behavior of young people:A systematic review

Introduction: While evaluations of indoor smoke-free legislation have demonstrated major public health benefits among adults, their impact on the smoking behavior of young people remains unclear. Therefore, we performed a systematic review of the association between smoke-free legislation in hospitality venues and smoking behavior of young people. Aims and Methods: A systematic search was conducted in PubMed, Scopus, and Embase in June 2020. We searched for studies that assessed the association of any form of smoke-free legislation in any hospitality venue (eg, bar and restaurant) with a smoking behavior outcome (eg, initiation and current smoking) among young people (aged 10-24 years). Results: Our search yielded 572 articles of which 31 were screened based on full-text and 9 were included in the analysis. All studies were published between 2005 and 2016. The majority of studies used a quasi-experimental design. Four studies evaluated smoke-free legislation in hospitality venues specifically. Two studies reported that comprehensive, but not weaker, smoke-free legislation decreases progression to established smoking. Two other studies provided mixed results on which level of comprehensiveness of legislation would be effective, and which smoking outcomes would be affected. Five studies evaluated legislation that also included other workplaces. Out of these five studies, three studies found significant decreases in current smoking, smoking frequency, and/or smoking quantity, whereas two other studies did not. Conclusions: Most of the studies found that smoke-free legislation in hospitality venues is associated with a decrease in smoking behavior among young people. Their results indicate the need for comprehensive smoke-free legislation without exemptions. Implications: This is the first systematic review to provide insight into the relationship between smoke-free legislation in hospitality venues and smoking behavior of young people. Our findings show that there is a need for comprehensive smoke-free legislation without exemptions (such as designated smoking areas)

Individual and contextual determinants of perceived peer smoking prevalence among adolescents in six European cities

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Where do teens smoke? Smoking locations of adolescents in Europe in relation to smoking bans in bars, schools and homes

This study aimed to assess where European adolescents smoke. Data of 2,140 13-19-year-olds from 55 secondary schools in seven European cities was analysed using multilevel logistic regression analyses. Adolescents most often reported regularly smoking in ‘other public locations (e.g., streets and parks)’ (69%) and friends’ homes (50%). Adolescents were less likely to smoke in bars, at school or at home when exposed to strong smoking bans at these locations. Bans on smoking in bars or at home were associated with regular smoking in other public locations, suggesting that smoking may have displaced towards these locations

Socioeconomic inequalities in type 2 diabetes : mediation through status anxiety?

Published online: 02 October 2023-- Objectives: While status anxiety has received attention as a potential mechanism generating health inequalities, empirical evidence is still limited. Studies have been ecological and have largely focused on mental and not physical health outcomes. -- Methods: We conducted individual-level analyses to assess status anxiety (feelings of inferiority resulting from social comparisons) and resources (financial difficulties) as mediators of the relationship between socioeconomic status (SES) (education/occupation/employment status) and type 2 diabetes (T2D). We used cross-sectional data of 21,150 participants (aged 18–70 years) from the Amsterdam-based HELIUS study. We estimated associations using logistic regression models and estimated mediated proportions using natural effect modelling. -- Results: Odds of status anxiety were higher among participants with a low SES [e.g., OR = 2.66 (95% CI: 2.06–3.45) for elementary versus academic occupation]. Odds of T2D were 1.49 (95% CI: 1.12–1.97) times higher among participants experiencing status anxiety. Proportion of the SES–T2D relationship mediated was 3.2% (95% CI: 1.5%–7.0%) through status anxiety and 10.9% (95% CI: 6.6%–18.0%) through financial difficulties. -- Conclusion: Status anxiety and financial difficulties played small but consistent mediating roles. These individual-level analyses underline status anxiety’s importance and imply that status anxiety requires attention in efforts to reduce health inequalities