The Body Between the Protestant Souls and Nascent Nation-States: Physical Education as an Emerging School Subject in the Nineteenth Century

No abstract available© Daniel Tröhler and Johannes Westber

Supplementary_file_ICT_2018_028 – Supplemental material for Inspiratory Muscle Training in High-Risk Patients Following Lung Resection May Prevent a Postoperative Decline in Physical Activity Level

Supplemental material, Supplementary_file_ICT_2018_028 for Inspiratory Muscle Training in High-Risk Patients Following Lung Resection May Prevent a Postoperative Decline in Physical Activity Level by Barbara Cristina Brocki, Jan Jesper Andreasen and Elisabeth Westerdahl in Integrative Cancer Therapie

Inspiratory Muscle Training in High-Risk Patients Following Lung Resection May Prevent a Postoperative Decline in Physical Activity Level

Objectives. To describe postoperative self-reported physical activity (PA) level and assess the effects of 2 weeks of postoperative inspiratory muscle training (IMT) in patients at high risk for postoperative pulmonary complications following lung resection. Methods. This is a descriptive study reporting supplementary data from a randomized controlled trial that included 68 patients (mean age = 70 ± 8 years), randomized to an intervention group (IG; n = 34) or a control group (CG; n = 34). The IG underwent 2 weeks of postoperative IMT added to a standard postoperative physiotherapy given to both groups. The standard physiotherapy consisted of breathing exercises, coughing techniques, and early mobilization. We evaluated self-reported physical activity (Physical Activity Scale 2.1 questionnaire) and health status (EuroQol EQ-5D-5L questionnaire), assessed the day before surgery and 2 weeks postoperatively. Results. A significant percentage of the patients in the IG reported less sedentary activity 2 weeks postoperatively when compared with the CG (sedentary 6% vs 22%, low activity 56% vs 66%, moderate activity 38% vs 12%, respectively; P = .006). The mean difference in EQ-5D-5L between the IG and CG 2 weeks postoperatively was nonsignificant (P = .80). The overall preoperative EQ-5D-5L index score for the study population was comparable to a reference population. Conclusion. Postoperative IMT seems to prevent a decline in PA level 2 weeks postoperatively in high-risk patients undergoing lung resection. More research is needed to confirm these findings

Collaborative research initiative

This data collection presents a fully harmonized data set originating in several research projects on post-war cinema programming. The collection consists of data of feature films screened for public viewing in cinemas in the cities Bari (Italy), Antwerp and Ghent (Belgium), Gothenburg (Sweden), Leicester (United Kingdom) and Rotterdam (Netherlands) for the year 1952

Metadata supporting Association of germline variation with the survival of women with BRCA1/2 pathogenic variants and breast cancer

This metadata record describes the data generated and analysed in the study "Association of germline variation with the survival of women with BRCA1/2 pathogenic variants and breast cancer". The study investigates genetic survival associations in pathogenic variant carriers from Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA), genotyped on the OncoArray. Data availability and sourcesA subset of the genotype data that support the findings of this study is publicly available via dbGaP https://identifiers.org/dbgap:phs001321.v1.p1 CIMBA 1000 Genomes-imputed genotype data is protected in accordance with the informed consent received from the study participants and therefore cannot be made publicly available. Requests for data can be made to the CIMBA Data Access Coordination Committee. DACC approval is required to access data from the BCFR-ON, EMBRACE, GC-HBOC, HEBCS, HEBON, IHCC, IPOBCS, MCGILL, and OUH studies Phenotype data is stored in a relational database and an output would be a text file. Imputed genotype data can be requested in the QCTOOL dosage format (https://www.well.ox.ac.uk/~gav/qctool_v2/documentation/genotype_file_formats.html), which has been used in these analyses The contact for data access requests is Lesley McGuffog ([email protected]), Data Manager, Department of Public Health and Primary Care, University of Cambridge Newly discovered survival SNPs were characterized in silico utilizing data from the 1000 genomes and Encode projects as integrated in databases LDlink, RegulomeDB and GeneCards. Candidate genes’ mRNA expression and patient survival was tested in the METABRIC data in European Genome-phenome Archive: EGAD00010000434 (1,302 breast cancer patients). BCAC survival summary results are available from the University of Cambridge BCAC site All summary results will be made available on the CIMBA website upon publication of the related article: http://cimba.ccge.medschl.cam.ac.uk The data that support each table and figure in the related article are summarised in the excel file in this data record. BackgroundThis study investigates the survival of women carrying germline pathogenic BRCA1 or BRCA2 variants. These are the two most important genes linked to breast cancer susceptibility. The great variation in survival rates between tumors with similar characteristics and stage suggests a heritable component, e.g. genetic differences in metastatic potential sensitivity to adjuvant therapy or host factors, like tumor microenvironment interaction, immune surveillance, and efficiency in drug metabolism. Both candidate gene and genome-wide approaches have been employed to find genetic determinants patient prognosis and treatment outcome prediction. Participants women of European ancestry diagnosed with invasive breast cancer before the age of 70 years, enrolled in studies participating in CIMBA. CIMBA studies included in analysis if sufficient follow-up data are available, at least 15 study subjects at risk during the time when five events occurred. Patients were followed from the diagnosis of the first primary breast cancer until death of any causeand censored after 15 years or when lost from follow-up Supplementary table 1 of the related article lists all CIMBA studies, characteristics, sample and cohort sizes. Overall sample sizes: 21 studies for carrier of BRCA1 variants (n = 3,008) 15 studies for carriers of BRCA2 variants (n = 2,009)

Additional file 3 of PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients

Additional file 1: Table S3. Patient and primary breast cancer characteristics per study

Additional file 2 of PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients

Additional file 2: Table S1. Description of the studies included in the analyses

Metadata supporting Association of germline variation with the survival of women with BRCA1/2 pathogenic variants and breast cancer

This metadata record describes the data generated and analysed in the study "Association of germline variation with the survival of women with BRCA1/2 pathogenic variants and breast cancer". The study investigates genetic survival associations in pathogenic variant carriers from Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA), genotyped on the OncoArray. Data availability and sourcesA subset of the genotype data that support the findings of this study is publicly available via dbGaP https://identifiers.org/dbgap:phs001321.v1.p1 CIMBA 1000 Genomes-imputed genotype data is protected in accordance with the informed consent received from the study participants and therefore cannot be made publicly available. Requests for data can be made to the CIMBA Data Access Coordination Committee. DACC approval is required to access data from the BCFR-ON, EMBRACE, GC-HBOC, HEBCS, HEBON, IHCC, IPOBCS, MCGILL, and OUH studies Phenotype data is stored in a relational database and an output would be a text file. Imputed genotype data can be requested in the QCTOOL dosage format (https://www.well.ox.ac.uk/~gav/qctool_v2/documentation/genotype_file_formats.html), which has been used in these analyses The contact for data access requests is Lesley McGuffog ([email protected]), Data Manager, Department of Public Health and Primary Care, University of Cambridge Newly discovered survival SNPs were characterized in silico utilizing data from the 1000 genomes and Encode projects as integrated in databases LDlink, RegulomeDB and GeneCards. Candidate genes’ mRNA expression and patient survival was tested in the METABRIC data in European Genome-phenome Archive: EGAD00010000434 (1,302 breast cancer patients). BCAC survival summary results are available from the University of Cambridge BCAC site All summary results will be made available on the CIMBA website upon publication of the related article: http://cimba.ccge.medschl.cam.ac.uk The data that support each table and figure in the related article are summarised in the excel file in this data record. BackgroundThis study investigates the survival of women carrying germline pathogenic BRCA1 or BRCA2 variants. These are the two most important genes linked to breast cancer susceptibility. The great variation in survival rates between tumors with similar characteristics and stage suggests a heritable component, e.g. genetic differences in metastatic potential sensitivity to adjuvant therapy or host factors, like tumor microenvironment interaction, immune surveillance, and efficiency in drug metabolism. Both candidate gene and genome-wide approaches have been employed to find genetic determinants patient prognosis and treatment outcome prediction. Participants women of European ancestry diagnosed with invasive breast cancer before the age of 70 years, enrolled in studies participating in CIMBA. CIMBA studies included in analysis if sufficient follow-up data are available, at least 15 study subjects at risk during the time when five events occurred. Patients were followed from the diagnosis of the first primary breast cancer until death of any causeand censored after 15 years or when lost from follow-up Supplementary table 1 of the related article lists all CIMBA studies, characteristics, sample and cohort sizes. Overall sample sizes: 21 studies for carrier of BRCA1 variants (n = 3,008) 15 studies for carriers of BRCA2 variants (n = 2,009)