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International audience ; Objective: Analyze cigarette smuggling practices in central and eastern Africa. Methods: Primary data were gathered during long term qualitative field research in which about 400 interviews were conducted. Analysis of secondary sources included academic literature and reports from NGOs, multilateral organisations and the press. Results: Our research suggests that the following factors play an important role in cigarette smuggling in eastern and central Africa: 1) government officials encounter difficulties monitoring the long and porous borders; 2) there is a general problem of corrupt government officials and particularly those who allow large-scale smugglers to operate; 3) criminal elements also play an important role in smuggling - cigarette smuggling has helped rebel groups to finance their activities, something illustrated through examples from the war economy in the eastern part of the Democratic Republic of Congo. Conclusions: Our research suggests that cigarette smuggling in this region is not primarily the result of different taxation levels in neighbouring states, but rather the outcome of weak state capacity, high levels of corruption and the activities of criminals. Under these conditions smuggling cigarettes becomes an attractive option as taxation is so easily avoided. This explains why in the low-income countries in this study there are high levels of smuggling inspite of low cigarette prices. Comprehensive supply control and enforcement legislation, and cooperation at national, regional and global level are needed to tackle fraudulent practices facilitated by corruption at state level, and to effectively punish interaction between cigarette traders and rebel groups.

To address the illicit cigarette trade, the European Union (EU) has signed agreements with the four major Transnational Tobacco Companies (TTCs) that involve establishing extensive systems of cooperation. All agreements foresee two types of payments: annual payments (totalling US$ 1.9 billion over 20 years) and supplementary seizure payments, equivalent to 100% of the evaded taxes in the event of seizures of their products. While limited by the fundamental lack of transparency in this area, our analysis suggests that these agreements have served largely to secure the TTCs' interests and are threatening progress in tobacco control. The seizure payments are paltry and a wholly inadequate deterrent to TTC involvement in illicit trade. Despite the agreements, growing evidence indicates the TTCs remain involved in the illicit trade or are at best failing to secure their supply chains as required by the agreements. The intention of the seizure-based payments to deter the tobacco industry from further involvement in the illicit cigarette trade has failed because the agreements contain too many loopholes that provide TTCs with both the incentive and opportunity to classify seized cigarettes as counterfeit. In addition, the shifting nature of cigarette smuggling from larger to smaller consignments often results in seizures that are too small to qualify for the payments. Consequently, the seizure payments represent a tiny fraction of the revenue lost from cigarette smuggling, between 2004 and 2012, 0.08% of the estimated losses due to illicit cigarette trade in the EU. Our evidence suggests the EU should end these agreements.

Abstract Background Because of the magnitude of the global tobacco epidemic, the World Health Organisation developed the Framework Convention on Tobacco Control (FCTC), an international legally binding treaty to control tobacco use. Adoption and implementation of specific tobacco control measures within FCTC is an outcome of a political process, where social norms and public opinion play important roles. The objective of our study was to examine how a country's level of tobacco control is associated with smoking prevalence, two markers of denormalisation of smoking (social disapproval of smoking and concern about passive smoking), and societal support for tobacco control. Methods An ecological study was conducted, using data from two sources. The first source was the Tobacco Control Scale (TCS) from 2011, which quantifies the implementation of tobacco control policies in European Union (EU) countries. Data on smoking prevalence, societal disapproval of smoking, concern about passive smoking, and societal support for policy measures were taken from the Eurobarometer survey of 2009. Data from Eurobarometer surveys were aggregated to country level. Data from the 27 European Union member states were used. Results Smoking prevalence rates in 2009 were negatively associated with a country's TCS 2011 score, although not statistically significant (r = −.25; p = .21). Experience of societal disapproval was positively associated with higher TCS scores, though not significantly (r = .14; p = .48). The same was true for societal support for tobacco control (r = .27; p = .18). The TCS score in 2011 was significantly correlated with concern about passive smoking (r = .42; p =.03). Support for tobacco control measures was also strongly correlated with concern about passive smoking (r = .52, p = .006). Conclusions Smokers in countries with a higher TCS score were more concerned about whether their smoke harms others. Further, support for tobacco control measures is higher in countries that have more of these concerned smokers. Concerns about passive smoking seem central in the implementation of tobacco control measures, stressing the importance of continuing to educate the public about the harm from passive smoking.

Background: Because of the magnitude of the global tobacco epidemic, the World Health Organisation developed the Framework Convention on Tobacco Control (FCTC), an international legally binding treaty to control tobacco use. Adoption and implementation of specific tobacco control measures within FCTC is an outcome of a political process, where social norms and public opinion play important roles. The objective of our study was to examine how a country's level of tobacco control is associated with smoking prevalence, two markers of denormalisation of smoking (social disapproval of smoking and concern about passive smoking), and societal support for tobacco control.

Methods: An ecological study was conducted, using data from two sources. The first source was the Tobacco Control Scale (TCS) from 2011, which quantifies the implementation of tobacco control policies in European Union (EU) countries. Data on smoking prevalence, societal disapproval of smoking, concern about passive smoking, and societal support for policy measures were taken from the Eurobarometer survey of 2009. Data from Eurobarometer surveys were aggregated to country level. Data from the 27 European Union member states were used.

Results: Smoking prevalence rates in 2009 were negatively associated with a country's TCS 2011 score, although not statistically significant (r = −.25; p = .21). Experience of societal disapproval was positively associated with higher TCS scores, though not significantly (r = .14; p = .48). The same was true for societal support for tobacco control (r = .27; p = .18). The TCS score in 2011 was significantly correlated with concern about passive smoking (r = .42; p =.03). Support for tobacco control measures was also strongly correlated with concern about passive smoking (r = .52, p = .006).

Conclusions: Smokers in countries with a higher TCS score were more concerned about whether their smoke harms others. Further, support for tobacco control measures is higher in countries that have more of these concerned smokers. Concerns about passive smoking seem central in the implementation of tobacco control measures, stressing the importance of continuing to educate the public about the harm from passive smoking.

European countries have made significant progress in implementing tobacco control policies to reduce tobacco use; however, whether socioeconomic status (SES) of a country may influence the implementation of such policies is unknown. The aim of this study is to assess the association between country-level SES and the implementation level of tobacco control policies in 31 European countries. An ecological study using data from Eurostat, Human Development Reports on several SES indicators and the Tobacco Control Scale (TCS) of 2016 was conducted to measure country-level tobacco control policies. We analysed the relationship between SES indicators and the TCS by means of scatter-plots and Spearman's rank correlation coefficients (r(sp)) and multivariable linear regression analysis. In Europe, no statistically significant association was found between SES factors and the level of implementation of tobacco control policies. Only public spending on tobacco control was associated with all SES factors, except for Gini Index (an income inequality index). The strongest associations of TCS scores for this policy domain were found with the Human Development Index (r(sp) = 0.586; p < 0.001) and the Gross Domestic Product per capita (in Euros) (r(sp) = 0.562; p = 0.001). The adjusted linear regression model showed an association of tobacco control policy implementation with countries' geographical location (Western Europe, β = − 15.7; p = 0.009, compared to Northern Europe). In conclusion, no association was found between SES factors and the level of implementation of tobacco control policies in 31 European countries; policymakers should be aware that tobacco control policies could be successfully implemented despite socioeconomic constraints, especially when these policies are of low cost and cost-effective (i.e., smoke-free bans and taxation).

Introduction: The Tobacco Control Scale (TCS) was designed for advocacy purposes but has also been used as a research tool. In the present study, we characterized TCS use, its limitations and strengths, and critically assessed its use as a research instrument. Methods: We conducted an extensive search of the biomedical databases PubMed and Web of Science for the keyword 'tobacco control scale' in all fields. The search was limited to studies published in the period March 2006 to December 2019. Out of 69 hits, 32 studies met the inclusion criteria. Two reviewers independently extracted information from each publication regarding their general characteristics, publication and research aspects, and the characteristics of the use of the TCS. Results: We found that researchers have used the TCS as a tool to monitor tobacco control policies mainly in cross-sectional observational studies with ecological and multilevel designs directed to advocacy and the promotion of further research. Different outcomes, such as smoking prevalence and quit ratios, have been associated with tobacco control policy scores. The main reported limitations of the TCS were a low variance across countries and a failure to express enforcement and to incorporate the most recent legislation. Conclusions: The TCS has been commonly used to assess differences in outcomes according to tobacco control policies. However, there are still areas for improvement in its use in research regarding the lack of comparability of TCS scores across time. The lessons that have been learned should be used to adapt and expand the TCS overseas.

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Background: Smoking is still highly prevalent in Europe. According to the WHO, tobacco control policies vary substantially across countries. The Tobacco Control Scale (TCS) was developed to quantify the implementation of tobacco control policies at country level in Europe. The objective was to assess the impact of tobacco control policies (quantified by TCS scores) on smoking prevalence and quit ratios and their relative changes from 2006-2014 in 27 European Union (EU27) countries. Methods: We conducted an ecological study at the country level. We used TCS scores in EU27 in 2007, and the prevalence of tobacco and quit ratios (No. ex-smokers/ No. ever smokers) data from the Eurobarometer surveys (2006 and 2014 waves). We analysed the relationship between the TCS scores and smoking prevalence and quit ratios and their relative changes by means of scatter plots, Spearman rank-correlation coefficients (rsp), and a multiple linear regression model adjusted for all TCS components. Results: In EU27, the smoking prevalence decreased by 14% (95%CI:7.3%-20.6%) (2006-2014) and varied from a relative decrease of 48.9% in Sweden to 0.4% in Bulgaria. The increase in the quit ratio in EU27 was 19.2% (95%CI:5.4%-33.1%) (2006-2014) and ranged from 125.8% in Sweden to 4.3% in Bulgaria. The correlation between TCS scores and smoking prevalence was negative (rsp=-0.444;p=0.02). A positive correlation was observed between TCS scores and quit ratios in 2014 (rsp=0.373;p=0.06) and in the relative changes in smoking prevalence (rsp=0.415;p=0.03). The percentage of smoking prevalence in 2014 explained by all TCS components in the regression model was 28.9% Conclusions: European countries with higher TCS scores, which indicates higher tobacco control efforts, have lower prevalence of smokers, higher quit ratios, and higher relative decreases in their smoking prevalence over the last decade. Funding: EC Horizon2020 HCO-6-2015 (EUREST-PLUS No. 681109); Government of Spain & European Regional Development Fund (RTICC RD12/0036/0053); Government of Catalonia (2014SGR999).