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Due to the continued detrimental effects of tobacco use, a growing number of countries are embracing the idea of tobacco endgame, meaning ending the tobacco epidemic instead of controlling it. This narrative review aims to synthesize and update the evidence from earlier scientific reviews on effective tobacco endgame measures, as well as to assess their integration to current national strategies among European countries with official tobacco endgame goals. The synthesis of the prior scientific literature found most evidence on product-focused and some evidence for supply-focused policies. Little evidence was detected for user- and institutional-focused measures. An update for the tobacco-free generation measure showed uncertainty in reducing smoking prevalence, especially for adolescents' reactions to age-restrictive laws. All the countries that established a tobacco endgame strategy have included product standards in their measures, predominantly based on European Union regulations on conventional tobacco products, yet standards above this level and considering other products were also common. Cessation measures were given strong emphasis in strategies, yet none of the countries linked these to specific endgame measures. Despite commonly mentioning vulnerable groups, such as youth and pregnant women, adoption of measures to reduce tobacco use among these groups was scarce. Lastly, the decline in tobacco use seems to be modest, implying challenges in meeting the endgame goals. To meet these goals, European countries should reinforce the implementation of known effective tobacco control measures such as tax increases. Furthermore, new innovative strategies and measures to meet the objective of an endgame should be explored.
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AIMS: Connecting cohorts with biobanks is a Finnish biobank collaboration, creating an infrastructure for the study of healthy ageing. We aimed to develop a model for data integration and harmonisation between different biobanks with procedures for joint access. METHODS: The heart of the collaboration is the integrated datasets formed by using data from three biobanks: (a) Arctic Biobank, hosting regional birth cohorts and cohorts of elderly; (b) hospital-affiliated Borealis Biobank of Northern Finland; and (c) THL Biobank, hosting population-based cohorts. The datasets were created by developing a data dictionary, harmonising cohort data and with a joint pseudonymisation process. RESULTS: The connecting cohorts with biobanks resource at its widest consists altogether of almost 1.4 million individuals from collaborating biobanks. Utilising data from 107,000 cohort participants, we created harmonised datasets that contain attributes describing metabolic risk and frailty for studies of healthy ageing. These data can be complemented with medical data available from Biobank Borealis and with samples taken at hospital settings for approximately 38,000 cohort participants. In addition, the harmonised connecting cohorts with biobanks datasets can be expanded with supplementary data and samples from the collaborating biobanks. CONCLUSIONS: The connecting cohorts with biobanks datasets provide a unique resource for research on ageing-related personalised healthcare and for real-world evidence studies. Following the FAIR principles on findability, accessibility, interoperability, and reusability, the reused and harmonised datasets are findable and made accessible for researchers. The same approach can be further utilised to develop additional datasets for other research topics.
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BACKGROUND: Differences in tobacco retailer density between areas by sociodemographic composition have been observed. However, little research comes from European jurisdictions and from countries with a tobacco retail licensing system. In Finland, the system consists of criteria for retailers and supervision fees. METHODS: The tobacco product retail licence data and sociodemographic data were retrieved from corresponding Finnish authorities. Area-level tobacco availability was measured as the presence of a retailer and as the number of retailers per 1000 inhabitants by postcode area. Sociodemographic indicators included median income, percentage of inhabitants in the lowest income tertile, percentage of adults with higher education and unemployment rate. Analyses were based on logistic regression and Ordinary Least Squares regression with log-transformed density. RESULTS: Lower area-level sociodemographic composition was mainly associated with higher tobacco availability. Income was the strongest correlate of the tobacco retailer availability: areas with higher median income had lower odds of having a tobacco retailer (OR 0.54, 95% CI 0.48 to 0.61 per 1000) and lower retailer density (-4.4% per 1000, Cohen's f=0.51). Areas with a greater proportion of people in the lowest income category had higher densities of tobacco retailers (+2.8% per percentage point, Cohen's f=0.07). Other sociodemographic indicators showed inconsistent associations with retailer presence and density. CONCLUSION: Tobacco availability can be higher in areas with lower sociodemographic composition also in a country with a comprehensive tobacco retail licensing system and small income inequalities. Retailing policies should be further developed to reduce tobacco availability and narrow inequalities in tobacco use.
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This study aimed to estimate (1) the number of avoidable lung cancer cases attributable to residential radon in Finland in 2017, separately by age, sex, dwelling type and smoking status, (2) the impact of residential radon alone and the joint effect of residential radon and smoking on the number of lung cancers and (3) the potential decrease in the number of radon-attributable lung cancers if radon concentrations exceeding specified action levels (100, 200 and 300 Bq m-3) would have been mitigated to those levels. Population-based surveys of radon concentrations and smoking patterns were used. Observed radon levels were contrasted with 25 Bq m-3 representing a realistic minimum level of exposure. Lung cancer risk estimates for radon and smoking were derived from literature. Lastly, the uncertainty due to the estimation of exposure and risk was quantified using a computationally derived uncertainty interval. At least 3% and at most 8% of all lung cancers were estimated as being attributable to residential radon. For small cell carcinoma, the proportion of cases attributable to radon was 8-13%. Among smokers, the majority of the radon-related cases were attributable to the joint effect of radon and smoking. Reduction of radon exposure to 100 Bq m-3 action level would eliminate approximately 30% of radon-attributable cases. Estimates were low compared with the literature, given the (relatively high) radon levels in Finland. This was mainly due to the lower radon levels and higher smoking prevalence in flats than in houses and a more realistic point of comparison, factors which have been ignored in previous studies. The results can guide actions in radon protection and in prevention of lung cancers.