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Background: Numerous previous studies have investigated the lifestyle and self-perceived health status of medical students. This study examined whether students' country of origin contributed to their mental health and health risk behaviour. Methods: We conducted our cross-sectional questionnaire survey over four consecutive years (2009-2012). The target population was fourth-year English- and Hungarian-language course medical students at Semmelweis University, Hungary. We gathered data on medical students' health behaviour (tobacco smoking, alcohol consumption, dietary habits and exercise) and mental health status and used analysis of variance (ANOVA) to examine the association between country of origin and mental health. Results: The response rate was 76.1 % for the Hungarian and 63.4 % for the English course students. The mean age of our sample was 24.1 years (SD = 2.42). Only 15.3 % of students reported following dietary recommendations, but 75.0 % reported engaging in vigorous and regular physical exercise. The prevalence of tobacco smoking was 18.6 % and 13.8 % overconsumed alcoholic beverages. Hungarian and Iranian students reported lower mental well-being than Mediterranean, Israeli and Scandinavian students (F(4) = 18.943, p < 0.001, η2 = 0.103). Results of the multiway ANOVA indicated that both country of origin and exercise showed a significant relationship with mental health: vigorous exercise was associated with better mental health status (F(1) = 5.505, p = 0.019). Conclusions: Medical students' mental health and health behaviour are associated with multiple factors. One of these is country of origin but exercise may also influence mental health. Health promotion programmes organised for medical students should take their country of origin into consideration and should include physical activity. [ABSTRACT FROM AUTHOR]

Background: Making forecasts about biodiversity and giving support to policy relies increasingly on large collections of data held electronically, and on substantial computational capability and capacity to analyse, model, simulate and predict using such data. However, the physically distributed nature of data resources and of expertise in advanced analytical tools creates many challenges for the modern scientist. Across the wider biological sciences, presenting such capabilities on the Internet (as "Web services") and using scientific workflow systems to compose them for particular tasks is a practical way to carry out robust "in silico" science. However, use of this approach in biodiversity science and ecology has thus far been quite limited., Results: BioVeL is a virtual laboratory for data analysis and modelling in biodiversity science and ecology, freely accessible via the Internet. BioVeL includes functions for accessing and analysing data through curated Web services; for performing complex in silico analysis through exposure of R programs, workflows, and batch processing functions; for on-line collaboration through sharing of workflows and workflow runs; for experiment documentation through reproducibility and repeatability; and for computational support via seamless connections to supporting computing infrastructures. We developed and improved more than 60 Web services with significant potential in many different kinds of data analysis and modelling tasks. We composed reusable workflows using these Web services, also incorporating R programs. Deploying these tools into an easy-to-use and accessible 'virtual laboratory', free via the Internet, we applied the workflows in several diverse case studies. We opened the virtual laboratory for public use and through a programme of external engagement we actively encouraged scientists and third party application and tool developers to try out the services and contribute to the activity., Conclusions: Our work shows we can deliver an operational, scalable and flexible Internet-based virtual laboratory to meet new demands for data processing and analysis in biodiversity science and ecology. In particular, we have successfully integrated existing and popular tools and practices from different scientific disciplines to be used in biodiversity and ecological research.

Background: Physical and mental health is important for coping with the high requirements of medical studies that are associated with a higher risk for severe stress, insomnia, smoking, harmful alcohol consumption and easier access to drugs. Health behaviors of medical students influence not just their own health but also the health of their future patients. We examined whether socio-cultural factors can explain differences in students' health status and health-promoting behaviors., Methods: A multicenter cross-sectional survey in Germany (Dresden, Munich) and Hungary (Budapest, Pécs) enclosed international medical students in their 1st, 3rd and 5th academic years. The students were invited to voluntarily and anonymously complete a questionnaire on different aspects of health behavior during obligatory seminars and lectures in 2014. The response rate of the total sample was 56.2 % (n = 2935); the subgroup analysis enclosed data of German (n = 1289), Hungarian (n = 1057) and Norwegian (n = 148) students., Results: A high number of Norwegian students (84.5 %) assessed their health status as very good/excellent. In comparison, only 60.3 % of the Hungarian and 70.7 % of the German participants reported a very good/excellent health status. The distributions were comparable between the study sites. Although gender, financial situation and nationality were significant health status predictors, they could explain only 8.2 % of the total variance of health status in the multivariable model. A comparably high number of Hungarian students (95.3 % vs. 67.4 % German and 56.7 % Norwegian) reported that they can currently do a lot/very much for their health. In contrast, a significant number of Norwegians (73.0 % vs. 63.7 % Hungarian and 51.5 % German) reported that they currently do a lot/very much for their health (chi(2)-test, p ≤ 0.001). Financial situation, study site and study year were the strongest predictors for health promotion activities (Nagelkerkes R(2) = 0.06)., Conclusions: Based on our study, gender and study year played only a minor role in the health status and health promotion beliefs and activities of medical students. Structural (study site) and somewhat socio-cultural factors (nationality, financial situation) mainly explained the differences regarding health promoting behaviors. Obligatory, free-of-charge courses for health promotion (activity and relaxation) should be included in study curriculums.