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Social position, education, gender and increasing age are all identified as important risk factors for disability pension. This study takes an intersectionality approach and examines their co-constitution, in relation to inequity in disability pension. The population included 22,203 middle-aged men and women participating in the community-based Hordaland Health Study, Western Norway (1997-1999). The participants were categorised in four exposure groups: higher educated men, higher educated women, lower educated men and lower educated women. The outcome was disability pension from 1992 to end of 2007, from a national registry. Using recommendations for intersectionality-informed quantitative research, we estimated the main effects of gender and educational attainment on disability pension, and potential statistical multiplicative interactions between gender and education in relation to cause-specific and all-cause disability pension. For all-cause disability pension, men with higher education had the lowest risk for disability pension (rate per 1000 person-years: 2.01) during the course of working life (from age 35 to 57), followed by higher educated women (rate 3.56), and lower educated men (rate 4.59). Finally, women with lower education had a substantially increased risk already in early middle age (rate 8.39). We found a statistical multiplicative effect of lower education and female gender on all-cause disability pension and disability pension with musculoskeletal disorders compared with men with higher education. The discussion highlights that inequity in disability pension is not only about defining vulnerable groups, but also about understanding how privileges and disadvantages are unequally distributed. [ABSTRACT FROM AUTHOR]

Picornaviruses (family Picornaviridae) are small, nonenveloped, positive-sense, single-stranded RNA viruses. The members of this family are currently classified into 47 genera and 110 species. Of picornaviruses, entero- and parechoviruses are associated with aseptic meningitis. They are transmitted via fecal-oral and respiratory routes, and occasionally, these viruses may cause a brief viremia and gain access to central nervous system (CNS). During the diagnostic screening of entero- and parechovirus types in Finland in year 2013-14, we detected a cluster of echovirus 4 (E4) infections in young adults and adolescents. As E4 is infrequently detected in Finland, we contacted several Northern and Central European laboratories that conduct routine surveillance for enteroviruses and, for those who have had E4 cases, we send a query for E4 sequences and data. Here we report CNS infections caused by E4 in Finland, Sweden, Norway, Denmark, Iceland and Germany in 2013 and 2014, and show that the E4 detected in these countries form a single lineage. In contrast, E4 strains circulating in these countries preceding the year 2013, and those circulating elsewhere in Europe during 2013-2014, formed several independent clusters., (Copyright © 2020 Elsevier B.V. All rights reserved.)

The Nordic countries have a long tradition of large-scale biobanking and comprehensive, population-based health data registries linkable on unique personal identifiers, enabling follow-up studies spanning many decades. Joint Nordic biobank-based studies provide unique opportunities for longitudinal molecular epidemiological research. The purpose of the present paper is to describe the possibilities for such joint studies, by describing some of the major Nordic biobank cohorts with a standardised calculation of the cancer incidence in these cohorts. Altogether two million donors have since 1966 donated more than four million biological samples, stored at -20 degrees C to -135 degrees C, to 17 biobank cohorts in Finland, Iceland, Norway and Sweden. As a result of joint database handling principles, the accuracy of personal identifiers and completeness of follow-up for vital status in all participating biobanks was improved. Thereafter, the cancer incidence was determined using follow-up through the national cancer registries. Biobanks based on random samples of population typically showed slightly lower cancer incidence rates than the general population, presumably due to better participation rates among health-conscious subjects. On the other hand, biobanks including samples for viral screening or clinical testing showed 1.5 to 2.1 fold increased incidence of cancer. This excess was very high immediately after sampling, but for some cancer sites remained elevated for years after clinical sampling. So far, more than 100 000 malignant neoplasms have occurred after sample donation, and the annual increase of the cancer cases in these cohorts is about 10 000. The estimates on the population-representativity of the biobanks will assist in interpretation of generalizability of results of future studies based on these samples, and the systematic tabulations of numbers of cancer cases will serve in study power estimations. The present paper summarizes optimal study designs of biobank-based studies of cancer.