RESUMO
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.
RESUMO
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.