Patterns of cross-sectional and predictive physical activity in Swiss adults aged 52+: results from the SAPALDIA cohort

Non-communicable diseases (NCDs) account for the vast majority of deaths in Switzerland. Insufficient physical activity (PA) is an established NCD risk factor and PA is known to be beneficial for physical and mental wellbeing. Sedentary behaviour (SB) is an additional, independent risk factor and associated with frailty in older adults. This study aimed at describing cross-sectional PA patterns in a general population sample of subjects aged 52 years and older (52+) from eight areas across different language regions of Switzerland. Additionally, the predictive association of self-reported PA for objectively measured PA was tested.; Participants 52+ of the Swiss Cohort Study on Air Pollution And Lung and Heart Disease In Adults (SAPALDIA) who completed accelerometer data collection at the most recent follow-up (SAPALDIA4 in 2017/18) and provided information on determinants of interest (sex, age, body mass index [BMI], language region, education, employment status, civil status, smoking) were included in the analysis (n = 1314). The accelerometer-derived average time spent in different PA intensities (SB, light PA [LPA], moderate-to-vigorous PA [MVPA]) was estimated according to participant characteristics with control for season and wear time using multiple linear regressions. In further analyses, the predictive effect of changes in self-reported PA over roughly ten years between SAPALDIA2 (2001/02) and SAPALDIA3 (2010/11) (remaining inactive [RI]; becoming inactive [BI]; becoming active [BA]; remaining active [RA]) on the objectively measured SB, LPA and MVPA obtained seven years later by accelerometry (SAPALDIA4), was assessed using multiple linear regression models.; Overall, 21.7% of 52+ participants met the Swiss recommendations for subjectively assessed PA. Obese participants, 75+ year-olds, smokers and subjects living alone spent more time in SB and less time in LPA and MVPA compared with participants with a BMI below 25 kg/m2, between 52 and 64 years old, not smoking and being married, respectively. Residents living in the French-speaking part of Switzerland were less likely to engage in MVPA compared with residents from the German-speaking part and thus were less likely to meet the PA recommendations. A trend for increasing PA and decreasing SB was observed consistently across the four groups (RI, BI, BA, RA) of predictive self-reported PA patterns with participants remaining active over the course of roughly ten years showing highest levels of PA and lowest levels of SB measured objectively at SAPALDIA4.; The high proportion of SB points to the need of physical activity promotion for the older part of the population in Switzerland. According to our data, behavioural changes in PA are possible and sustainable as we can see in the group of participants becoming active and this is essential for health promotion recommendations

Identification of regulatory variants associated with genetic susceptibility to meningococcal disease.

Non-coding genetic variants play an important role in driving susceptibility to complex diseases but their characterization remains challenging. Here, we employed a novel approach to interrogate the genetic risk of such polymorphisms in a more systematic way by targeting specific regulatory regions relevant for the phenotype studied. We applied this method to meningococcal disease susceptibility, using the DNA binding pattern of RELA - a NF-kB subunit, master regulator of the response to infection - under bacterial stimuli in nasopharyngeal epithelial cells. We designed a custom panel to cover these RELA binding sites and used it for targeted sequencing in cases and controls. Variant calling and association analysis were performed followed by validation of candidate polymorphisms by genotyping in three independent cohorts. We identified two new polymorphisms, rs4823231 and rs11913168, showing signs of association with meningococcal disease susceptibility. In addition, using our genomic data as well as publicly available resources, we found evidences for these SNPs to have potential regulatory effects on ATXN10 and LIF genes respectively. The variants and related candidate genes are relevant for infectious diseases and may have important contribution for meningococcal disease pathology. Finally, we described a novel genetic association approach that could be applied to other phenotypes

Genomic investigations of unexplained acute hepatitis in children

Since its first identification in Scotland, over 1,000 cases of unexplained paediatric hepatitis in children have been reported worldwide, including 278 cases in the UK1. Here we report an investigation of 38 cases, 66 age-matched immunocompetent controls and 21 immunocompromised comparator participants, using a combination of genomic, transcriptomic, proteomic and immunohistochemical methods. We detected high levels of adeno-associated virus 2 (AAV2) DNA in the liver, blood, plasma or stool from 27 of 28 cases. We found low levels of adenovirus (HAdV) and human herpesvirus 6B (HHV-6B) in 23 of 31 and 16 of 23, respectively, of the cases tested. By contrast, AAV2 was infrequently detected and at low titre in the blood or the liver from control children with HAdV, even when profoundly immunosuppressed. AAV2, HAdV and HHV-6 phylogeny excluded the emergence of novel strains in cases. Histological analyses of explanted livers showed enrichment for T cells and B lineage cells. Proteomic comparison of liver tissue from cases and healthy controls identified increased expression of HLA class 2, immunoglobulin variable regions and complement proteins. HAdV and AAV2 proteins were not detected in the livers. Instead, we identified AAV2 DNA complexes reflecting both HAdV-mediated and HHV-6B-mediated replication. We hypothesize that high levels of abnormal AAV2 replication products aided by HAdV and, in severe cases, HHV-6B may have triggered immune-mediated hepatic disease in genetically and immunologically predisposed children

Can Big Data be used to monitor the mental health consequences of COVID-19?

No description supplie

Can big data be used to monitor the mental health consequences of COVID-19?

No description supplie

Evidence based EU criminal policy making: in search of valid data

EU criminal policy making is a relatively new policy domain and its credibility is said to be undermined by the lack of an evidence base. Because the EU claims to pursue evidence based policy making, this justifies reviewing the mechanisms put in place to that end. To properly evaluate the evidence base in EU criminal policy making, an assessment is made of the availability of comparable crime statistics. Crime statistics, a vital data source for criminal policy making, are considered highly problematic at EU level due to (amongst other reasons) the differences in the definition of the offences. In spite of the good intentions that can be read into the repeated acknowledgement of the importance of crime statistics and the efforts to commonly define EU worthy offences, a thorough empirical analysis leads to the conclusion that we are still in search of valid EU level data with respect to the EU level offences. The EU as a policy maker does not take its responsibility to ensure the availability of the necessary comparable crime statistical data serious enough