Adrián González-Marrón1, Juan Carlos Martín-Sánchez1, Queralt Miró1, Nuria Matilla-Santander1, Àurea Cartanyà-Hueso1, Lorelei Mucci2, Jose M Martínez-Sánchez3. 1. Group of Evaluation of Health Determinants and Health Policies, Universitat Internacional de Catalunya, Sant Cugat del Vallès, Spain. 2. Cancer Epidemiology and Cancer Prevention Program, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA. 3. Group of Evaluation of Health Determinants and Health Policies, Universitat Internacional de Catalunya, Sant Cugat del Vallès, Spain; Cancer Epidemiology and Cancer Prevention Program, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA. Electronic address: jmmartinez@uic.es.
Abstract
INTRODUCTION: Lung cancer accounts for nearly 2 million deaths per year worldwide, the majority of cases due to smoking as the main risk factor associated. The aim of this study was to assess the relation between the level of implementation of tobacco control policies and the population at high risk of lung cancer in the European Union (EU). METHODS: The Special Eurobarometer 458 "Attitudes of Europeans towards tobacco and electronic cigarettes", conducted in 2017, and the Tobacco Control Scale (TCS) 2010, 2013, and 2016 were the sources of our data. High risk of lung cancer was defined by the inclusion criteria in the National Lung Screening Trial (NLST) and the Dutch-Belgian Lung Cancer Screening Trial (NELSON), the largest lung cancer screening trials carried out in the US and the EU. We calculated Spearman's rank correlation coefficients (rsp) and fitted multilevel generalized linear mixed models using the quasi-Poisson family to assess the correlation at the national level and analyze the association at the individual level, respectively, between the scores in the TCS (higher scores means better implementation of tobacco control policies) and the proportion of individuals at high risk of lung cancer in member states of the EU. RESULTS: The scores in the TCS 2010 were statistically negatively correlated with the current proportion of ever and former smokers at high risk according to NELSON criteria (-0.41; 95%CI -0.68, -0.04 and -0.49; 95%CI -0.73, -0.13, respectively). We observed statistically significant inverse associations between the scores in the TCS 2010 for the highest quartiles and the proportion of individuals at high risk of lung cancer according to both criteria. Non-statistically significant negative correlations and inverse associations were observed with other TCS. CONCLUSION: There is a lag between the implementation of tobacco control policies and the reduction of the rates of high risk of lung cancer. Member states should reinforce comprehensive tobacco control policies to reduce the population at high risk of lung cancer in the EU.
INTRODUCTION:Lung cancer accounts for nearly 2 million deaths per year worldwide, the majority of cases due to smoking as the main risk factor associated. The aim of this study was to assess the relation between the level of implementation of tobacco control policies and the population at high risk of lung cancer in the European Union (EU). METHODS: The Special Eurobarometer 458 "Attitudes of Europeans towards tobacco and electronic cigarettes", conducted in 2017, and the Tobacco Control Scale (TCS) 2010, 2013, and 2016 were the sources of our data. High risk of lung cancer was defined by the inclusion criteria in the National Lung Screening Trial (NLST) and the Dutch-Belgian Lung Cancer Screening Trial (NELSON), the largest lung cancer screening trials carried out in the US and the EU. We calculated Spearman's rank correlation coefficients (rsp) and fitted multilevel generalized linear mixed models using the quasi-Poisson family to assess the correlation at the national level and analyze the association at the individual level, respectively, between the scores in the TCS (higher scores means better implementation of tobacco control policies) and the proportion of individuals at high risk of lung cancer in member states of the EU. RESULTS: The scores in the TCS 2010 were statistically negatively correlated with the current proportion of ever and former smokers at high risk according to NELSON criteria (-0.41; 95%CI -0.68, -0.04 and -0.49; 95%CI -0.73, -0.13, respectively). We observed statistically significant inverse associations between the scores in the TCS 2010 for the highest quartiles and the proportion of individuals at high risk of lung cancer according to both criteria. Non-statistically significant negative correlations and inverse associations were observed with other TCS. CONCLUSION: There is a lag between the implementation of tobacco control policies and the reduction of the rates of high risk of lung cancer. Member states should reinforce comprehensive tobacco control policies to reduce the population at high risk of lung cancer in the EU.