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With schools and universities closing across Europe, the COVID-19 lockdown left actors in the field of education battling with the unprecedented challenge of finding a meaningful way to keep the wheels of education turning online. The sudden need for digital solutions across the field of education resulted in the emergence of a variety of digital networks and collaborative online platforms. In this joint article from scholars around Europe, we explore the COVID-19 lockdowns of physical education across the European region, and the different processes of emergency digitalization that followed in their wake. Spanning perspectives from Italy, Germany, Belgium, and the Nordic countries, the article's five cases provide a glimpse of how these processes have at the same time accelerated and consolidated the involvement of various commercial and non-commercial actors in public education infrastructures. By gathering documentation, registering dynamics, and making intimations of the crisis as it unfolded, the aim of the joint paper is to provide an opportunity for considering the implications of these accelerations and consolidations for the heterogeneous futures of European education.

Background Tobacco-control policies have been suggested to reduce smoking among adolescents. However, there is limited evidence on the real-world costs of implementation in different settings. In this study, we aimed at estimating the costs of school smoking bans, school prevention programmes and non-school bans (smoking bans in non-educational public settings, bans on sales to minors and bans on point-of-sale advertising), implemented in Finland, Ireland, the Netherlands, Belgium, Germany, Italy and Portugal, for 2016. Methods We retrospectively collected costs related to the inspection, monitoring and sanctioning activities related to bans and educational activities related to smoking prevention programmes. We used an 'ingredients-based' approach, identifying each resource used, quantity and unit value for one full year, under the state perspective. Costs were measured at national, regional, local and school-level and were informed by data on how these activities were performed in reality. Results Purchasing power parities adjusted-costs varied between €0.02 and €0.74 (average €0.24) per person (pp) for bans implemented outside schools. Mean costs of school smoking bans ranged from €3.31 to €34.76 (average €20.60), and mean costs of school educational programmes from €0.75 to €4.65 (average €2.92). Conclusions It is feasible to estimate costs of health policies as implemented in different settings. Costs of the tobacco control policies evaluated here depend mainly on the number of person-hours allocated to their implementation, and on the scale of intervention. Non-school bans presented the lowest costs, and the implementation of all policies cost up to €36 pp for 1 year. [ABSTRACT FROM AUTHOR]

Background Decreasing gender differences in mental health are found largely in countries in which the roles of men and women have improved in terms of opportunities for employment, education, child care and other indicators of increasing gender equality. In this study, we examine how European welfare regimes influence this association between mental health and the social roles that men and women occupy. Methods The EU-World Mental Health data are used, which covers the general population in 10 European countries (n = 37 289); Countries were grouped into four welfare regions: Liberal regime (Northern Ireland), Bismarckian regime (Belgium, Germany, the Netherlands and France), Southern regime (Spain, Italy, Portugal) and Central-Eastern regime (Romania and Bulgaria). The lifetime prevalence of mood, anxiety and alcohol disorders was determined by using the Composite International Diagnostic Interview 3.0. Overall prevalence rates along with odds ratios by means of bivariate logistic regression models are calculated to compare the presence of common mental disorders in women versus men per welfare regime. Results Overall prevalence of common mental disorders is highest in the Liberal regime and lowest in the Central/Eastern regime. The gender gap in mental disorders is largest in the Southern regime and smallest in the Liberal regime. Marital status and certain employment positions help to explain variation in mental disorders across and within welfare regimes. Conclusion Most prominent pathways linking gender to mental ill-health being are related to marital status and certain employment positions. However, these pathways also show substantial variation across welfare regimes. [ABSTRACT FROM AUTHOR]