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Menzel J, Kreutz G, Jabusch HC, Becher H, Krist L, Keil T, Borngräber F, Schmidt A, Willich SN, Fernholz I, Weikert C. Musical activity in a subsample of the German National Cohort study. Sci Rep 2024; 14:14069. [PMID: 38890477 PMCID: PMC11189540 DOI: 10.1038/s41598-024-64773-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 06/12/2024] [Indexed: 06/20/2024] Open
Abstract
Musical activities (MA) such as singing, playing instruments, and listening to music may be associated with health benefits. However, evidence from epidemiological studies is still limited. This study aims at describing the relation between MA and both sociodemographic and health-related factors in a cross-sectional approach. A total of 6717 adults (50.3% women, 49.7% men, median age: 51 years (IQR 43-60) were recruited from the study center Berlin-Mitte of the German National Cohort (NAKO), a population-based prospective study. This study is based on a sample randomly selected from the population registry of Berlin, Germany, aged 20 to 69 years. 53% of the participants had been musically active at least once in their life (56.1% women, 43.9% men). Playing keyboard instruments (30%) and singing (21%) were the most frequent MA. Participants listened to music in median 90 min per day (IQR 30.0-150.0). Musically active individuals were more likely to have a higher education, higher alcohol consumption, were less likely to be physically active, and had a lower BMI compared to musically inactive individuals. This large population-based study offers a comprehensive description of demographic, health, and lifestyle characteristics associated with MA. Our findings may aid in assessing long-term health consequences of MA.
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Affiliation(s)
- Juliane Menzel
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Food Safety, German Federal Institute for Risk Assessment, Berlin, Germany
| | - Gunter Kreutz
- Institut für Musik, Carl von Ossietzky Universität Oldenburg, Oldenburg, Lower Saxony, Germany.
| | - Hans-Christian Jabusch
- Institute of Musicians' Medicine, University of Music Carl Maria von Weber, Dresden, Saxony, Germany
| | - Heiko Becher
- Institute of Global Health, University Hospital Heidelberg, Heidelberg, Baden-Württemberg, Germany
| | - Lilian Krist
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Thomas Keil
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Friederike Borngräber
- Department of Neurology, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- Berlin Center for Musicians Medicine (BCMM), Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Alexander Schmidt
- Berlin Center for Musicians Medicine (BCMM), Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- Kurt Singer Institute for Music Physiology and Musicians' Health, Hanns Eisler School of Music Berlin and University of the Arts Berlin, Berlin, Germany
- Clinic for Audiology and Phoniatrics, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Stefan N Willich
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Isabel Fernholz
- Berlin Center for Musicians Medicine (BCMM), Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- Kurt Singer Institute for Music Physiology and Musicians' Health, Hanns Eisler School of Music Berlin and University of the Arts Berlin, Berlin, Germany
- Clinic for Audiology and Phoniatrics, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- Department of Psychosomatic Medicine, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Cornelia Weikert
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Food Safety, German Federal Institute for Risk Assessment, Berlin, Germany
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2
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Zenker S, Strech D, Jahns R, Müller G, Prasser F, Schickhardt C, Schmidt G, Semler SC, Winkler E, Drepper J. [Nationally standardized broad consent in practice: initial experiences, current developments, and critical assessment]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2024; 67:637-647. [PMID: 38639817 PMCID: PMC11166792 DOI: 10.1007/s00103-024-03878-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 04/02/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND The digitalization in the healthcare sector promises a secondary use of patient data in the sense of a learning healthcare system. For this, the Medical Informatics Initiative's (MII) Consent Working Group has created an ethical and legal basis with standardized consent documents. This paper describes the systematically monitored introduction of these documents at the MII sites. METHODS The monitoring of the introduction included regular online surveys, an in-depth analysis of the introduction processes at selected sites, and an assessment of the documents in use. In addition, inquiries and feedback from a large number of stakeholders were evaluated. RESULTS The online surveys showed that 27 of the 32 sites have gradually introduced the consent documents productively, with a current total of 173,289 consents. The analysis of the implementation procedures revealed heterogeneous organizational conditions at the sites. The requirements of various stakeholders were met by developing and providing supplementary versions of the consent documents and additional information materials. DISCUSSION The introduction of the MII consent documents at the university hospitals creates a uniform legal basis for the secondary use of patient data. However, the comprehensive implementation within the sites remains challenging. Therefore, minimum requirements for patient information and supplementary recommendations for best practice must be developed. The further development of the national legal framework for research will not render the participation and transparency mechanisms developed here obsolete.
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Affiliation(s)
- Sven Zenker
- Stabsstelle Medizinisch-Wissenschaftliche Technologieentwicklung und -koordination (MWTek), Kaufmännische Direktion, Universitätsklinikum Bonn, Bonn, Deutschland.
- AG Angewandte Medizininformatik (AMI), Institut für Medizinische Biometrie, Informatik und Epidemiologie (IMBIE), Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Deutschland.
- AG Angewandte Mathematische Physiologie (AMP), Klinik & Poliklinik für Anästhesiologie und Operative Intensivmedizin, Universitätsklinikum Bonn, Bonn, Deutschland.
- Stabsstelle Medizinisch-Wissenschaftliche Technologieentwicklung und -koordination (MWTek) Kaufmännische Direktion, Universitätsklinikum Bonn, Venusberg-Campus 1, 53127, Bonn, Deutschland.
| | - Daniel Strech
- QUEST Center for Responsible Research, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Deutschland
| | - Roland Jahns
- Interdisziplinäre Biomaterial- und Datenbank Würzburg (ibdw), Universitätsklinikum Würzburg, Würzburg, Deutschland
| | - Gabriele Müller
- Zentrum für Evidenzbasierte Gesundheitsversorgung, Universitätsklinikum und Medizinische Fakultät Carl Gustav Carus an der Technischen Universität Dresden, Dresden, Deutschland
| | - Fabian Prasser
- Center for Health Data Science, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Deutschland
| | - Christoph Schickhardt
- Sektion Translationale Medizinethik, KKE Angewandte Tumor-Immunität, Nationales Centrum für Tumorerkrankungen (NCT), Deutsches Krebsforschungszentrum (DKFZ) Heidelberg und Universitätsklinikum Heidelberg, Heidelberg, Deutschland
| | - Georg Schmidt
- Klinik und Poliklinik für Innere Medizin I. Klinikum rechts der Isar der Technischen Universität München, München, Deutschland
| | - Sebastian C Semler
- TMF - Technologie- und Methodenplattform für die vernetzte medizinische Forschung e. V., Berlin, Deutschland
| | - Eva Winkler
- Sektion Translationale Medizinethik, Abteilung Medizinische Onkologie, Nationales Centrum für Tumorerkrankungen (NCT), Universitätsklinikum Heidelberg und Universität Heidelberg, Heidelberg, Deutschland
| | - Johannes Drepper
- TMF - Technologie- und Methodenplattform für die vernetzte medizinische Forschung e. V., Berlin, Deutschland
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Methorst J. Positive relationship between bird diversity and human mental health: an analysis of repeated cross-sectional data. Lancet Planet Health 2024; 8:e285-e296. [PMID: 38729669 DOI: 10.1016/s2542-5196(24)00023-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 01/24/2024] [Accepted: 02/12/2024] [Indexed: 05/12/2024]
Abstract
BACKGROUND An increasing body of research has examined the link between biodiversity of birds and human mental health, but most studies only use cross-sectional data. Few studies have used longitudinal or repeated cross-sectional data to investigate the mental health benefits of bird diversity. The aim of this study is to analyse the relationship between bird diversity and mental health at the national level using a unique repeated cross-sectional dataset. METHODS I used repeated cross-sectional health data from the German National Cohort health study, collected between March, 2014, and September, 2019, and annual bird citizen science data to investigate the effects of bird-diversity exposure on mental health. Mental health was measured using the summary score of the Patient Health Questionnaire depression module 9 (SumPHQ) and the Short Form Health Survey-12 Mental Health Component Scale. As a proxy for bird diversity, I created a unique indicator called reporting-rate richness and combined it with the health data. Reporting-rate richness measures the number of bird species within postcode areas across Germany in probabilities while accounting for variation in survey efforts. Alternative indicators of bird diversity, such as bird-species richness or abundance, were also calculated. Associations between bird diversity and mental health were estimated using linear regression with region and time fixed effects, adjusted for a range of sociodemographic and environmental confounders and spatial autocorrelation. Interaction terms between income levels and reporting-rate richness were also analysed to examine the moderating effect of socioeconomic status. FINDINGS I did the analyses for an unbalanced (n=176 362) and balanced (n=125 423) dataset, with the balanced dataset comprising only regions (postcode areas) in which health data were available for each year. The linear fixed-effects regression analysis indicated a significant negative association between reporting-rate richness and SumPHQ, as observed in both the unbalanced dataset (β -0·02, p=0·017) and the balanced dataset (β -0·03, p=0·0037). Similarly, regression results with both datasets showed a positive relationship between reporting-rate richness and Mental Health Component Scale (MCS; unbalanced β 0·02, p=0·0086; balanced β 0·03, p=0·0018). The moderator analyses revealed a significant influence of socioeconomic status on the relationship between reporting-rate richness and mental health. The robustness of these findings was confirmed through sensitivity analyses. INTERPRETATION The results suggest that a greater likelihood of having many different bird species in a person's area of residence might positively contribute to mental health, especially for people with lower socioeconomic status. These findings could have implications for biodiversity conservation and health policy decisions, as governments are facing challenges such as global biodiversity loss and growing public mental health problems. FUNDING None.
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Affiliation(s)
- Joel Methorst
- Helmut-Schmidt University, Holstenhofweg, Hamburg, Germany; Hamburg Institute of International Economics, Hamburg, Germany.
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Hajek A, Becher H, Brenner H, Holleczek B, Katzke V, Kaaks R, Minnerup H, Karch A, Baurecht H, Leitzmann M, Peters A, Gastell S, Ahrens W, Haug U, Nimptsch K, Pischon T, Michels KB, Dorrn A, Klett-Tammen CJ, Castell S, Willich SN, Keil T, Schipf S, Meinke-Franze C, Harth V, Obi N, König HH. Personality and the use of cancer screenings - Results of the German National Cohort. Prev Med Rep 2024; 41:102677. [PMID: 38533391 PMCID: PMC10963220 DOI: 10.1016/j.pmedr.2024.102677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 03/04/2024] [Accepted: 03/05/2024] [Indexed: 03/28/2024] Open
Abstract
Objective To determine the association between personality characteristics and use of different cancer screenings. Methods We used data from the German National Cohort (NAKO; mean age was 53.0 years (SD: 9.2 years)) - a population-based cohort study. A total of 132,298 individuals were included in the analyses. As outcome measures, we used (self-reported): stool examination for blood (haemoccult test, early detection of bowel cancer), colonoscopy (screening for colorectal cancer), skin examination for moles (early detection of skin cancer), breast palpation by a doctor (early detection of breast cancer), x-ray examination of the breast ("mammography", early detection of breast cancer), cervical smear test, finger examination of the rectum (early detection of prostate cancer), and blood test for prostate cancer (determination of Prostate-Specific Antigen level). The established Big Five Inventory-SOEP was used to quantify personality factors. It was adjusted for several covariates based on the Andersen model. Unadjusted and adjusted multiple logistic regressions were computed. Results A higher probability of having a skin examination for moles, for example, was associated with a higher conscientiousness (OR: 1.07, p < 0.001), higher extraversion (OR: 1.03, p < 0.001), higher agreeableness (OR: 1.02, p < 0.001), lower openness to experience (OR: 0.98, p < 0.001) and higher neuroticism (OR: 1.07, p < 0.001) among the total sample. Depending on the outcome used, the associations slightly varied. Conclusions Particularly higher levels of extraversion, neuroticism and conscientiousness are associated with the use of different cancer screenings. Such knowledge may help to better understand non-participation in cancer screening examinations from a psychological perspective.
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Affiliation(s)
- André Hajek
- Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, Hamburg, Germany
| | - Heiko Becher
- Heidelberg University Hospital, Heidelberg Institute of Global Health, Heidelberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Bernd Holleczek
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Saarland Cancer Registry, Saarbrücken, Germany
| | - Verena Katzke
- Department of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rudolf Kaaks
- Department of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Heike Minnerup
- Institute for Epidemiology and Social Medicine, Faculty of Medicine, University of Münster, Münster, Germany
| | - André Karch
- Institute for Epidemiology and Social Medicine, Faculty of Medicine, University of Münster, Münster, Germany
| | - Hansjörg Baurecht
- Department of Epidemiology and Preventive Medicine, University of Regensburg, 93053 Regensburg, Germany
| | - Michael Leitzmann
- Department of Epidemiology and Preventive Medicine, University of Regensburg, 93053 Regensburg, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Sylvia Gastell
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
| | - Ulrike Haug
- Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
| | - Katharina Nimptsch
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Tobias Pischon
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
- Max Delbrueck Center for Molecular Medicine in the Helmholtz Association (MDC), Biobank Technology Platform, Berlin, Germany
- Charité - Universitaetsmedizin Berlin, Corporate Member of Freie Universitaet Berlin, Humboldt-Universitaet zu Berlin, Berlin, Germany
| | - Karin B. Michels
- Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Anja Dorrn
- Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | | | - Stefanie Castell
- Department for Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Germany
| | - Stefan N. Willich
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Thomas Keil
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
- State Institute of Health I, Bavarian Health and Food Safety Authority, Erlangen, Germany
| | - Sabine Schipf
- Institute for Community Medicine, Department SHIP/Clinical-Epidemiological Research, University Medicine Greifswald, Greifswald, Germany
| | - Claudia Meinke-Franze
- Institute for Community Medicine, Department SHIP/Clinical-Epidemiological Research, University Medicine Greifswald, Greifswald, Germany
| | - Volker Harth
- Institute for Occupational and Maritime Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Nadia Obi
- Institute for Occupational and Maritime Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hans-Helmut König
- Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, Hamburg, Germany
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Strieker S, Radon K, Forster F, Örnek ÖK, Wengenroth L, Schmotz W, Sonnemann F, Hoopmann M, Hepp M, Nowak D, Weinmann T, Rakete S. Biomonitoring of lead in blood of children living in a former mining area in Lower Saxony, Germany. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:29971-29978. [PMID: 38594562 PMCID: PMC11058760 DOI: 10.1007/s11356-024-32719-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 02/26/2024] [Indexed: 04/11/2024]
Abstract
Environmental exposure to lead substantially decreased over the past decades. However, soil of former mining areas still contains high lead levels. We therefore performed a biomonitoring study among children living in two former mining communities in Lower Saxony, Germany. In these communities, soil contains lead levels of 1000 to 30,000 mg/kg. Overall, 75 children (6-10 years of age) attending the two primary schools of the study area took part in the study. Parents completed a short questionnaire on sociodemographics, and children provided capillary whole blood samples. We analysed lead using inductively coupled plasma tandem mass spectrometer. We compared the results to current German (20 μg/l for boys, 15 μg/l for girls) and US (35 μg/l) reference values. Potential associations between questionnaire information and lead results were tested using lead as continuous outcome and using lead dichotomized at the reference values. Finally, we analysed spatial patterns of elevated biomonitoring results. Of all children, 48% exceeded the German reference values for lead (5% expected) and 8% the US reference value (2.5% expected). Children 6-8 years of age were more likely to exceed German reference values (63%) than 9-10 year old children were (32%; pFisher = 0.01). No other questionnaire information was statistically significantly associated with biomonitoring results. Additionally, we did not find any indication of spatial clustering. In conclusion, we observed elevated blood lead levels in primary school children living in a former mining area. In the next step, exposure pathways need to be identified to implement effective public health measures.
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Affiliation(s)
- Sonja Strieker
- Institute and Clinic for Occupational, Social and Environmental Medicine, LMU University Hospital, LMU Munich, Ziemssenstr. 1, D-80336, Munich, Germany
| | - Katja Radon
- Institute and Clinic for Occupational, Social and Environmental Medicine, LMU University Hospital, LMU Munich, Ziemssenstr. 1, D-80336, Munich, Germany
| | - Felix Forster
- Institute and Clinic for Occupational, Social and Environmental Medicine, LMU University Hospital, LMU Munich, Ziemssenstr. 1, D-80336, Munich, Germany
| | - Özlem Köseoglu Örnek
- Institute and Clinic for Occupational, Social and Environmental Medicine, LMU University Hospital, LMU Munich, Ziemssenstr. 1, D-80336, Munich, Germany
- Department of Nursing Science, Universität Witten/Herdecke, Witten, Germany
| | - Laura Wengenroth
- Institute and Clinic for Occupational, Social and Environmental Medicine, LMU University Hospital, LMU Munich, Ziemssenstr. 1, D-80336, Munich, Germany.
| | - Walter Schmotz
- District of Goslar, Department of Construction & Environment-Soil Protection and Waste Monitoring, Goslar, Germany
| | - Finn Sonnemann
- District of Goslar, Department of Construction & Environment-Soil Protection and Waste Monitoring, Goslar, Germany
| | | | - Martin Hepp
- District of Goslar, Department of Public Health Services, Goslar, Germany
| | - Dennis Nowak
- Institute and Clinic for Occupational, Social and Environmental Medicine, LMU University Hospital, LMU Munich, Ziemssenstr. 1, D-80336, Munich, Germany
| | - Tobias Weinmann
- Institute and Clinic for Occupational, Social and Environmental Medicine, LMU University Hospital, LMU Munich, Ziemssenstr. 1, D-80336, Munich, Germany
| | - Stefan Rakete
- Institute and Clinic for Occupational, Social and Environmental Medicine, LMU University Hospital, LMU Munich, Ziemssenstr. 1, D-80336, Munich, Germany
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Schmitt M, Ewendt F, Kluttig A, Mikolajczyk R, Kraus FB, Wätjen W, Bürkner PC, Stangl GI, Föller M. Smoking is associated with increased eryptosis, suicidal erythrocyte death, in a large population-based cohort. Sci Rep 2024; 14:3024. [PMID: 38321053 PMCID: PMC10847437 DOI: 10.1038/s41598-024-53258-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 01/30/2024] [Indexed: 02/08/2024] Open
Abstract
Smoking has multiple detrimental effects on health, and is a major preventable cause of premature death and chronic disease. Despite the well-described effect of inhaled substances from tobacco smoke on cell toxicity, the association between smoking and suicidal erythrocyte death, termed eryptosis, is virtually unknown. Therefore, the blood samples of 2023 participants of the German National Cohort Study (NAKO) were analyzed using flow cytometry analysis to determine eryptosis from fluorescent annexin V-FITC-binding to phosphatidylserine-exposing erythrocytes. Blood analyses were complemented by the measurement of hematologic parameters including red blood cell count, hematocrit, hemoglobin, mean corpuscular cell volume (MCV) and mean corpuscular hemoglobin (MCH). Eryptosis was higher in smokers than in non- and ex-smokers, and positively associated with the number of cigarettes smoked daily (r = 0.08, 95% CI [0.03, 0.12]). Interestingly, despite increased eryptosis, smokers had higher red blood cell indices than non-smokers. To conclude, smokers were characterized by higher eryptosis than non-smokers, without showing any obvious detrimental effect on classic hematological parameters.
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Affiliation(s)
- Marvin Schmitt
- Cluster of Excellence SimTech, University of Stuttgart, Stuttgart, Germany
| | - Franz Ewendt
- Institute of Agricultural and Nutritional Sciences, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Alexander Kluttig
- Institute of Medical Epidemiology, Biometrics, and Informatics, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Rafael Mikolajczyk
- Institute of Medical Epidemiology, Biometrics, and Informatics, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - F Bernhard Kraus
- Central Laboratory, Department for Laboratory Medicine, University Hospital Halle, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | - Wim Wätjen
- Institute of Agricultural and Nutritional Sciences, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Paul-Christian Bürkner
- Cluster of Excellence SimTech, University of Stuttgart, Stuttgart, Germany
- Department of Statistics, TU Dortmund University, Dortmund, Germany
| | - Gabriele I Stangl
- Institute of Agricultural and Nutritional Sciences, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Michael Föller
- Department of Physiology, University of Hohenheim, Garbenstraße 30, 70599, Stuttgart, Germany.
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7
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Schwedhelm C, Nimptsch K, Ahrens W, Hasselhorn HM, Jöckel KH, Katzke V, Kluttig A, Linkohr B, Mikolajczyk R, Nöthlings U, Perrar I, Peters A, Schmidt CO, Schmidt B, Schulze MB, Stang A, Zeeb H, Pischon T. Chronic disease outcome metadata from German observational studies - public availability and FAIR principles. Sci Data 2023; 10:868. [PMID: 38052810 PMCID: PMC10698176 DOI: 10.1038/s41597-023-02726-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 11/07/2023] [Indexed: 12/07/2023] Open
Abstract
Metadata from epidemiological studies, including chronic disease outcome metadata (CDOM), are important to be findable to allow interpretability and reusability. We propose a comprehensive metadata schema and used it to assess public availability and findability of CDOM from German population-based observational studies participating in the consortium National Research Data Infrastructure for Personal Health Data (NFDI4Health). Additionally, principal investigators from the included studies completed a checklist evaluating consistency with FAIR principles (Findability, Accessibility, Interoperability, Reusability) within their studies. Overall, six of sixteen studies had complete publicly available CDOM. The most frequent CDOM source was scientific publications and the most frequently missing metadata were availability of codes of the International Classification of Diseases, Tenth Revision (ICD-10). Principal investigators' main perceived barriers for consistency with FAIR principles were limited human and financial resources. Our results reveal that CDOM from German population-based studies have incomplete availability and limited findability. There is a need to make CDOM publicly available in searchable platforms or metadata catalogues to improve their FAIRness, which requires human and financial resources.
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Affiliation(s)
- Carolina Schwedhelm
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, 13125, Germany.
| | - Katharina Nimptsch
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, 13125, Germany
| | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, 28359, Germany
- Institute of Statistics, Faculty of Mathematics and Computer Science, University of Bremen, Bremen, 28334, Germany
| | - Hans Martin Hasselhorn
- Department of Occupational Health Science, University of Wuppertal, Wuppertal, 42119, Germany
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, Essen, 45122, Germany
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, 69120, Germany
| | - Alexander Kluttig
- Institute of Medical Epidemiology, Biometrics, and Informatics, Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), 06112, Germany
| | - Birgit Linkohr
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, 85764, Germany
| | - Rafael Mikolajczyk
- Institute of Medical Epidemiology, Biometrics, and Informatics, Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), 06112, Germany
- DZPG (German Center for Mental Health), partner site Halle-Jena-Magdeburg, 07743, Jena, Germany
| | - Ute Nöthlings
- Institute of Nutrition and Food Sciences, Nutritional Epidemiology, University of Bonn, Bonn, 53115, Germany
| | - Ines Perrar
- Institute of Nutrition and Food Sciences, Nutritional Epidemiology, University of Bonn, Bonn, 53115, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, 85764, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology, Department of Epidemiology, Medical Faculty of the Ludwig-Maximilians-Universität München, Munich, 81377, Germany
| | - Carsten O Schmidt
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, 17489, Germany
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, Essen, 45122, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, 14558, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, 14558, Germany
| | - Andreas Stang
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, Essen, 45122, Germany
- Department of Epidemiology, School of Public Health, Boston University, Boston, MA, 02118, USA
| | - Hajo Zeeb
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, 28359, Germany
- Faculty 11 - Human and Health Sciences, University of Bremen, Bremen, 28359, Germany
| | - Tobias Pischon
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, 13125, Germany
- Biobank Technology Platform, Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, 13125, Germany
- Core Facility Biobank, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, 13125, Germany
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, 10117, Germany
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8
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Erhardt A, Gelbrich G, Klinger-König J, Streit F, Kleineidam L, Riedel-Heller SG, Schmidt B, Schmiedek F, Wagner M, Grabe HJ, Rietschel M, Berger K, Deckert J. Generalised anxiety and panic symptoms in the German National Cohort (NAKO). World J Biol Psychiatry 2023; 24:881-896. [PMID: 34842503 DOI: 10.1080/15622975.2021.2011409] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 11/23/2021] [Indexed: 01/04/2023]
Abstract
OBJECTIVES Anxiety disorders (AD) are common in the general population, leading to high emotional distress and disability. The German National Cohort (NAKO) is a population-based mega-cohort study, examining participants in 16 German regions. The present study includes data of the first 101,667 participants and investigates the frequency and severity of generalised anxiety symptoms and panic attacks (PA). METHODS The Generalised Anxiety Disorder Symptoms Scale (GAD-7) and the first part of the Patient Health Questionnaire Panic Disorder (PHQ-PD) were filled out by NAKO participants (93,002). We examined the correlation of GAD-7 and PHQ-PD with demographic variables, stress (PHQ-Stress), depression (PHQ-9) and childhood trauma (CTS). RESULTS The total proportion of prior lifetime diagnoses of AD in the NAKO cohort reached 7.8%. Panic attacks were reported by 6.0% and possible/probable current GAD symptoms in 5.2% of the examined participants. Higher anxiety severity was associated with female sex, lower education level, German as a foreign language and younger age as well as high perceived stress and depression. CONCLUSIONS Clinically relevant GAD symptoms as well as panic attacks are frequent in the NAKO and are associated with sociodemographic factors, and high anxiety symptoms are accompanied by pronounced stress and depression levels.
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Affiliation(s)
- Angelika Erhardt
- Department of Psychiatry, Psychosomatics and Psychotherapy, Centre of Mental Health, Julius-Maximilians-University, Wuerzburg, Germany
- Max Planck Institute for Psychiatry, Munich, Germany
| | - Götz Gelbrich
- Institute for Clinical Epidemiology and Biometry, Julius-Maximilians-University, Wuerzburg, Germany
- Clinical Trial Centre Wuerzburg, University Hospital Würzburg, Wuerzburg, Germany
| | | | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Mannheim, Germany
| | - Luca Kleineidam
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Steffi G Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, Germany
| | - Florian Schmiedek
- Leibniz-Institute for Research and Information in Education, University of Frankfurt, Germany
- Institute of Psychology, Goethe University, Frankfurt am Main, Germany
- Centre for Mind, Brain and Behaviour, University of Marburg and Justus Liebig University Giessen, Germany
| | - Michael Wagner
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Germany
- German Centre for Neurodegenerative Diseases (DZNE), Partner Site Rostock/Greifswald, Greifswald, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Mannheim, Germany
| | - Klaus Berger
- Institute of Epidemiology & Social Medicine, University of Muenster, Germany
| | - Jürgen Deckert
- Department of Psychiatry, Psychosomatics and Psychotherapy, Centre of Mental Health, Julius-Maximilians-University, Wuerzburg, Germany
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9
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Klinger-König J, Streit F, Erhardt A, Kleineidam L, Schmiedek F, Schmidt B, Investigators N, Wagner M, Deckert J, Rietschel M, Berger K, Grabe HJ. The assessment of childhood maltreatment and its associations with affective symptoms in adulthood: Results of the German National Cohort (NAKO). World J Biol Psychiatry 2023; 24:897-908. [PMID: 35302904 DOI: 10.1080/15622975.2021.2011406] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 11/23/2021] [Indexed: 01/08/2023]
Abstract
OBJECTIVES Childhood maltreatment affects 20-30% of the German population and is an important risk factor for physical and mental diseases in adult life. This study reports first results of the distribution of childhood maltreatment in the population-based mega cohort German National Cohort (NAKO) and estimates associations with affective symptoms in adulthood. METHODS The Childhood Trauma Screener (CTS), a short version of the Childhood Trauma Questionnaire, was used in 83,995 adults (age: 20-72 years; 47.3% men) of NAKO. The five-item CTS assesses the severity of three types of childhood abuse and two types of childhood neglect. RESULTS Overall, 21,131 participants (27.5%) reported at least one type of childhood maltreatment; 14,017 participants (18.3%) reported exactly one type and 250 participants (0.3%) reported all five types of childhood maltreatment. Small differences regarding age (mean absolute deviation around the mean (MAD)=0.47), sex (MAD = 0.07) and education (MAD = 0.82) were observed. The severity of childhood maltreatment was associated with more severe symptoms of depression (β = 0.23), anxiety (β = 0.21) and perceived stress (β = 0.23) in adulthood, validated particularly for emotional abuse and emotional neglect. CONCLUSIONS The distribution of childhood maltreatment in NAKO is similar to previous reports. Additionally, our results suggest differential associations with psychopathological symptoms for the five types of childhood maltreatment.
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Affiliation(s)
- Johanna Klinger-König
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Mannheim, Germany
| | - Angelika Erhardt
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, Julius-Maximilians-University, Wuerzburg, Germany
- Max Planck Institute for Psychiatry, Munich, Germany
| | - Luca Kleineidam
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Florian Schmiedek
- Department of Education and Human Development, DIPF | Leibniz Institute for Research and Information in Education, Frankfurt am Main, Germany
- Institute of Psychology, Goethe University, Frankfurt am Main, Germany
- IDeA (Individual Development and Adaptive Education of Children at Risk) Centre, Frankfurt am Main, Germany
- Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig University Giessen, Giessen, Germany
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, Essen, Germany
| | | | - Michael Wagner
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Jürgen Deckert
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, Julius-Maximilians-University, Wuerzburg, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Mannheim, Germany
| | - Klaus Berger
- Institute of Epidemiology & Social Medicine, University of Muenster, Muenster, Germany
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Partner Site Rostock/Greifswald, Greifswald, Germany
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10
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Kleineidam L, Stark M, Riedel-Heller SG, Pabst A, Schmiedek F, Streit F, Rietschel M, Klinger-König J, Grabe HJ, Erhardt A, Gelbrich G, Schmidt B, Berger K, Wagner M. The assessment of cognitive function in the German National Cohort (NAKO) - Associations of demographics and psychiatric symptoms with cognitive test performance. World J Biol Psychiatry 2023; 24:909-923. [PMID: 35175181 DOI: 10.1080/15622975.2021.2011408] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 11/23/2021] [Indexed: 01/03/2023]
Abstract
OBJECTIVES To describe the cognitive test battery of the German National Cohort (NAKO), a population-based mega cohort of 205,000 randomly selected participants, and to examine associations with demographic variables and selected psychiatric and neurological conditions. METHODS Initial data from 96,401 participants providing data on the cognitive performance measured by a brief cognitive test battery (12-word list recall task, semantic fluency, Stroop test, digit span backwards) was examined. Test results were summarised in cognitive domain scores using exploratory and confirmatory factor analyses. Associations with sociodemographic and psychiatric factors were analysed using linear regression and generalised additive models. RESULTS Cognitive test results were best represented by two domain scores reflecting memory and executive functions. Lower cognitive functions were associated with increasing age and male sex. Higher education and absence of childhood trauma were associated with better cognitive function. Moderate to severe levels of anxiety and depression, and a history of stroke, were related to lower cognitive function with a stronger effect on executive function as compared to memory. Some associations with cognition differed by German language proficiency. CONCLUSIONS The NAKO cognitive test battery and the derived cognitive domain scores for memory and executive function are sensitive measures of cognition.
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Affiliation(s)
- Luca Kleineidam
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Melina Stark
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Steffi G Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Alexander Pabst
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Florian Schmiedek
- Department of Education and Human Development, DIPF | Leibniz Institute for Research and Information in Education, Frankfurt am Main, Germany
- Institute of Psychology, Goethe University, Frankfurt am Main, Germany
- Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig University Giessen, Germany
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Heidelberg University, Medical Faculty Mannheim, Mannheim, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Heidelberg University, Medical Faculty Mannheim, Mannheim, Germany
| | - Johanna Klinger-König
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Centre for Neurodegenerative Diseases (DZNE), Partner Site Rostock/Greifswald, Greifswald, Germany
| | - Angelika Erhardt
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, Julius-Maximilians-University, Wuerzburg, Germany
- Max Planck Institute for Psychiatry, Munich, Germany
| | - Götz Gelbrich
- Institute for Clinical Epidemiology and Biometry, Julius-Maximilians-University, Wuerzburg, Germany
- Clinical Trial Center Würzburg, University Hospital Würzburg, Würzburg, Germany
| | - Börge Schmidt
- Institute of Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, University Hospital Essen, Essen, Germany
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Germany
| | - Michael Wagner
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
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11
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Streit F, Zillich L, Frank J, Kleineidam L, Wagner M, Baune BT, Klinger-König J, Grabe HJ, Pabst A, Riedel-Heller SG, Schmiedek F, Schmidt B, Erhardt A, Deckert J, Rietschel M, Berger K. Lifetime and current depression in the German National Cohort (NAKO). World J Biol Psychiatry 2023; 24:865-880. [PMID: 34870540 DOI: 10.1080/15622975.2021.2014152] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 12/01/2021] [Indexed: 12/15/2022]
Abstract
OBJECTIVES The present study introduces the assessment of depression and depressive symptoms in the German National Cohort (NAKO), a population-based mega cohort. Distribution of core measures, and associations with sociodemographic factors are examined. METHODS The current analysis includes data from the first 101,667 participants (NAKO data freeze 100,000). Depression and depressive symptoms were assessed using a modified version of the depression section of the Mini-International Neuropsychiatric Interview (MINI), self-reported physician's diagnosis of depression, and the depression scale of the Patient Health Questionnaire (PHQ-9). RESULTS A lifetime physician's diagnosis of depression was reported by 15.0% of participants. Of those, 47.6% reported having received treatment for depression within the last 12 months. Of the subset of 26,342 participants undergoing the full depression section of the modified MINI, 15.9% were classified by the MINI with a lifetime depressive episode. Based on the PHQ-9, 5.8% of the participants were classified as currently having a major or other depression by the diagnostic algorithm, and 7.8% according to the dimensional assessment (score ≥ 10). Increased frequency of depression measures and higher depression scores were observed in women and participants with lower education level or a family history of depression. CONCLUSIONS The observed distributions of all depression measures and their associations with sociodemographic variables are consistent with the literature on depression. The NAKO represents a valuable epidemiologic resource to investigate depression, and the range of measures for lifetime and current depression allows users to select the most suitable instrument for their specific research question.
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Affiliation(s)
- Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Lea Zillich
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Josef Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Luca Kleineidam
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Michael Wagner
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Bernhard T Baune
- Department of Psychiatry, University of Münster, Munster, Germany
| | - Johanna Klinger-König
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Centre for Neurodegenerative Diseases (DZNE), Partner Site Rostock/Greifswald, Greifswald, Germany
| | - Alexander Pabst
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Steffi G Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Florian Schmiedek
- Department of Education and Human Development, DIPF | Leibniz Institute for Research and Information in Education, Frankfurt am Main, Germany
- Institute of Psychology, Goethe University, Frankfurt am Main, Germany
- Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig University, Giessen, Germany
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, Germany
| | - Angelika Erhardt
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, Julius-Maximilians-University, Wuerzburg, Germany
- Max Planck Institute for Psychiatry, Munich, Germany
| | - Jürgen Deckert
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, Julius-Maximilians-University, Wuerzburg, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Klaus Berger
- Institute of Epidemiology & Social Medicine, University of Muenster, Muenster, Germany
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12
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Bosquillon de Jarcy L, Akbil B, Mhlekude B, Leyens J, Postmus D, Harnisch G, Jansen J, Schmidt ML, Aigner A, Pott F, Chua RL, Krist L, Gentile R, Mühlemann B, Jones TC, Niemeyer D, Fricke J, Keil T, Pischon T, Janke J, Conrad C, Iacobelli S, Drosten C, Corman VM, Ralser M, Eils R, Kurth F, Sander L, Goffinet C. 90K/LGALS3BP expression is upregulated in COVID-19 but may not restrict SARS-CoV-2 infection. Clin Exp Med 2023; 23:3689-3700. [PMID: 37162650 PMCID: PMC10170455 DOI: 10.1007/s10238-023-01077-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Accepted: 04/12/2023] [Indexed: 05/11/2023]
Abstract
Glycoprotein 90K, encoded by the interferon-stimulated gene LGALS3BP, displays broad antiviral activity. It reduces HIV-1 infectivity by interfering with Env maturation and virion incorporation, and increases survival of Influenza A virus-infected mice via antiviral innate immune signaling. Its antiviral potential in SARS-CoV-2 infection remains largely unknown. Here, we analyzed the expression of 90K/LGALS3BP in 44 hospitalized COVID-19 patients at multiple levels. We quantified 90K protein concentrations in serum and PBMCs as well as LGALS3BP mRNA levels. Complementary, we analyzed two single cell RNA-sequencing datasets for expression of LGALS3BP in respiratory specimens and PBMCs from COVID-19 patients. Finally, we analyzed the potential of 90K to interfere with SARS-CoV-2 infection of HEK293T/ACE2, Calu-3 and Caco-2 cells using authentic virus. 90K protein serum concentrations were significantly elevated in COVID-19 patients compared to uninfected sex- and age-matched controls. Furthermore, PBMC-associated concentrations of 90K protein were overall reduced by SARS-CoV-2 infection in vivo, suggesting enhanced secretion into the extracellular space. Mining of published PBMC scRNA-seq datasets uncovered monocyte-specific induction of LGALS3BP mRNA expression in COVID-19 patients. In functional assays, neither 90K overexpression in susceptible cell lines nor exogenous addition of purified 90K consistently inhibited SARS-CoV-2 infection. Our data suggests that 90K/LGALS3BP contributes to the global type I IFN response during SARS-CoV-2 infection in vivo without displaying detectable antiviral properties in vitro.
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Affiliation(s)
- Laure Bosquillon de Jarcy
- Institute of Virology, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 , Berlin, Germany
- Speciality Network: Infectious Diseases and Respiratory Medicine, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Bengisu Akbil
- Institute of Virology, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 , Berlin, Germany
| | - Baxolele Mhlekude
- Institute of Virology, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 , Berlin, Germany
| | - Johanna Leyens
- Institute of Virology, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Dylan Postmus
- Institute of Virology, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 , Berlin, Germany
| | - Greta Harnisch
- Institute of Virology, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Jenny Jansen
- Institute of Virology, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Marie L Schmidt
- Institute of Virology, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Annette Aigner
- Institute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Fabian Pott
- Institute of Virology, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 , Berlin, Germany
| | - Robert Lorenz Chua
- Center for Digital Health, Berlin Institute of Health (BIH) at Charité - Universitätsmedizin Berlin, Berlin, Germany, Charitéplatz 1, 10117, Berlin, Germany
| | - Lilian Krist
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | | | - Barbara Mühlemann
- Institute of Virology, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Terence C Jones
- Institute of Virology, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
- Department of Zoology, Centre for Pathogen Evolution, University of Cambridge, Downing St., Cambridge, CB2 3EJ, UK
| | - Daniela Niemeyer
- Institute of Virology, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
- German Center for Infection Research, Associated Partner Charité, Berlin, Germany
| | - Julia Fricke
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Thomas Keil
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Josef-Schneiderstr. 2, 97080, Würzburg, Germany
- State Institute of Health, Bavarian Health and Food Safety Authority, Eggenreuther Weg 43, 91058, Erlangen, Germany
| | - Tobias Pischon
- Molecular Epidemiology Research Group, Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), 13125, Berlin, Germany
- Biobank Technology Platform, Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), 13125, Berlin, Germany
- Core Facility Biobank, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, 10178, Berlin, Germany
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, 10117, Berlin, Germany
| | - Jürgen Janke
- Biobank Technology Platform, Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), 13125, Berlin, Germany
| | - Christian Conrad
- Center for Digital Health, Berlin Institute of Health (BIH) at Charité - Universitätsmedizin Berlin, Berlin, Germany, Charitéplatz 1, 10117, Berlin, Germany
| | | | - Christian Drosten
- Institute of Virology, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
- German Center for Infection Research, Associated Partner Charité, Berlin, Germany
| | - Victor M Corman
- Institute of Virology, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
- German Center for Infection Research, Associated Partner Charité, Berlin, Germany
| | - Markus Ralser
- Department of Biochemistry, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
- Molecular Biology of Metabolism Laboratory, The Francis Crick Institute, London, NW11AT, UK
| | - Roland Eils
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 , Berlin, Germany
- Center for Digital Health, Berlin Institute of Health (BIH) at Charité - Universitätsmedizin Berlin, Berlin, Germany, Charitéplatz 1, 10117, Berlin, Germany
- German Center for Lung Research (DZL), 35392, Gießen, Germany
- Health Data Science Unit, Heidelberg University Hospital and BioQuant, 69120, Heidelberg, Germany
| | - Florian Kurth
- Speciality Network: Infectious Diseases and Respiratory Medicine, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
- Department of Tropical Medicine, Bernhard Nocht Institute for Tropical Medicine, 20359, Hamburg, Germany
- Department of Medicine, University Medical Center, Hamburg-Eppendorf, 20251, Hamburg, Germany
| | - Leif Sander
- Speciality Network: Infectious Diseases and Respiratory Medicine, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
- German Center for Lung Research (DZL), 35392, Gießen, Germany
| | - Christine Goffinet
- Institute of Virology, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 , Berlin, Germany.
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Soltani S, Matin BK, Gouya MM, Zahraei SM, Moradi G, Chehri O, Soofi M, Moradinazar M, Shadmani FK, Kalantari M, Khajeha H, Emamian MH, Najafi F. A prospective cohort study protocol: monitoring and surveillance of adverse events following heterologous booster doses of Oxford AstraZeneca COVID-19 vaccine in previous recipients of two doses of Sinopharm or Sputnik V vaccines in Iran. BMC Public Health 2023; 23:1415. [PMID: 37488541 PMCID: PMC10364349 DOI: 10.1186/s12889-023-16265-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 07/08/2023] [Indexed: 07/26/2023] Open
Abstract
BACKGROUND Regarding the paucity of evidence on the side effects of the booster dose of Oxford AstraZeneca vaccine in vaccinated people with Sinopharm or Sputnik V, we aimed to set up a cohort event monitoring (CEM) study to capture adverse events occurring in individuals who will receive the booster doses of AstraZeneca (either the first or second booster dose) following being vaccinated with Sinopharm or sputnik V vaccines in Iran. METHODS The present study is an active COVID-19 vaccine safety surveillance through an observational prospective cohort study that will be conducted in vaccination centers in Iran. The study will be conducted in twelve provinces of Iran. Study sites are vaccination centers where the AstraZeneca vaccine is administered to the cohort population. The study population includes all individuals who have received two doses of Sinopharm or Sputnik V vaccines and either the first or second booster dose of AstraZeneca according to the national guidelines for immunization in Iran in 2023. We are planning to include 30,000 eligible people in this study. Each individual will be followed up for 13 weeks after either the first or second booster dose of the AstraZeneca vaccine. Furthermore, convenience sampling is used to include participants in the present study. Participation in the study will be strictly voluntary. DISCUSSION With the planned study we will provide a valid epidemiological evidence to improve the understanding of the safety of the booster dose of the AstraZeneca and to better evaluate the effectiveness of public health interventions. This could help policy makers in managing the COVID-19 pandemic according to scientific evidence.
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Affiliation(s)
- Shahin Soltani
- Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Behzad Karami Matin
- Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
- Social Development and Health Promotion Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Mohammad Mehdi Gouya
- Iranian Center for Communicable Diseases Control, Ministry of Health & Medical Education, Tehran, Iran
| | - Sayed Mohsen Zahraei
- Nosocomial Infection Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Ghobad Moradi
- Social Determinant of the Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Omid Chehri
- Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Moslem Soofi
- Social Development and Health Promotion Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Mehdi Moradinazar
- Behavioral Disease Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Fatemeh Khosravi Shadmani
- Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Mahsa Kalantari
- Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Hamidreza Khajeha
- Ophthalmic Epidemiology Research Center, Shahroud University of Medical Sciences, Shahroud, Iran
| | - Mohammad Hassan Emamian
- Ophthalmic Epidemiology Research Center, Shahroud University of Medical Sciences, Shahroud, Iran
| | - Farid Najafi
- Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
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Vonneilich N, Becher H, Bohn B, Brandes B, Castell S, Deckert A, Dragano N, Franzke CW, Führer A, Gastell S, Greiser H, Keil T, Klett-Tammen C, Koch-Gallenkamp L, Krist L, Leitzmann M, Meinke-Franze C, Mikolajczyk R, Moreno Velasquez I, Obi N, Peters A, Pischon T, Reuter M, Schikowski T, Schmidt B, Schulze M, Sergeev D, Stang A, Völzke H, Wiessner C, Zeeb H, Lüdecke D, von dem Knesebeck O. Associations of Migration, Socioeconomic Position and Social Relations With Depressive Symptoms - Analyses of the German National Cohort Baseline Data. Int J Public Health 2023; 68:1606097. [PMID: 37533684 PMCID: PMC10391163 DOI: 10.3389/ijph.2023.1606097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 07/05/2023] [Indexed: 08/04/2023] Open
Abstract
Objectives: We analyze whether the prevalence of depressive symptoms differs among various migrant and non-migrant populations in Germany and to what extent these differences can be attributed to socioeconomic position (SEP) and social relations. Methods: The German National Cohort health study (NAKO) is a prospective multicenter cohort study (N = 204,878). Migration background (assessed based on citizenship and country of birth of both participant and parents) was used as independent variable, age, sex, Social Network Index, the availability of emotional support, SEP (relative income position and educational status) and employment status were introduced as covariates and depressive symptoms (PHQ-9) as dependent variable in logistic regression models. Results: Increased odds ratios of depressive symptoms were found in all migrant subgroups compared to non-migrants and varied regarding regions of origins. Elevated odds ratios decreased when SEP and social relations were included. Attenuations varied across migrant subgroups. Conclusion: The gap in depressive symptoms can partly be attributed to SEP and social relations, with variations between migrant subgroups. The integration paradox is likely to contribute to the explanation of the results. Future studies need to consider heterogeneity among migrant subgroups whenever possible.
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Affiliation(s)
- Nico Vonneilich
- Institute of Medical Sociology, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Heiko Becher
- Heidelberg Institute of Global Health, Heidelberg University Hospital, Heidelberg, Baden-Württemberg, Germany
| | - Barbara Bohn
- NAKO e.V., Heidelberg University, Heidelberg, Baden-Württemberg, Germany
| | - Berit Brandes
- Leibniz Institute for Prevention Research and Epidemiology (LG), Bremen, Germany
| | - Stefanie Castell
- Department of Epidemiology, Helmholtz Center for Infection Research, Helmholtz Association of German Research Centers (HZ), Braunschweig, Niedersachsen, Germany
| | - Andreas Deckert
- Heidelberg Institute of Global Health, Heidelberg University Hospital, Heidelberg, Baden-Württemberg, Germany
| | - Nico Dragano
- Institute for Medical Sociology, University Hospital of Düsseldorf, Düsseldorf, Germany
| | - Claus-Werner Franzke
- Institute for Prevention and Cancer Epidemiology, University of Freiburg Medical Center, Freiburg, Baden-Württemberg, Germany
| | - Amand Führer
- Institute for Medical Epidemiology, Biometrics and Informatics (IMEBI), University Hospital in Halle, Halle, Saxony-Anhalt, Germany
| | - Sylvia Gastell
- NAKO Study Center, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Potsdam, Brandenburg, Germany
| | - Halina Greiser
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, Germany
| | - Thomas Keil
- Institute of Social Medicine, Epidemiology and Health Economics, Charité University Medicine Berlin, Berlin, Germany
- Institute of Clinical Epidemiology and Biometry, Faculty of Medicine, University of Würzburg, Würzburg, Bavaria, Germany
- State Institute of Health I, Bavarian Health and Food Safety Authority, Erlangen, Germany
| | - Carolina Klett-Tammen
- Department of Epidemiology, Helmholtz Center for Infection Research, Helmholtz Association of German Research Centers (HZ), Braunschweig, Niedersachsen, Germany
| | - Lena Koch-Gallenkamp
- Department of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, Germany
| | - Lilian Krist
- Institute of Social Medicine, Epidemiology and Health Economics, Charité University Medicine Berlin, Berlin, Germany
| | - Michael Leitzmann
- Deptartment of Epidemiology and Preventive Medicine, University Medical Center Regensburg, Regensburg, Bavaria, Germany
| | - Claudia Meinke-Franze
- Institute for Community Medicine, University Medical Center Greifswald, Greifswald, Mecklenburg-Vorpommern, Germany
| | - Rafael Mikolajczyk
- Institute for Medical Epidemiology, Biometrics and Informatics (IMEBI), University Hospital in Halle, Halle, Saxony-Anhalt, Germany
| | - Ilais Moreno Velasquez
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine, Helmholtz Association of German Research Centers (HZ), Berlin, Baden-Wurttemberg, Germany
| | - Nadia Obi
- Institute for Occupational and Maritime Medicine Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Hamburg, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Center München, Helmholtz Association of German Research Centres (HZ), Neuherberg, Germany
| | - Tobias Pischon
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine, Helmholtz Association of German Research Centers (HZ), Berlin, Baden-Wurttemberg, Germany
- Berlin Institute of Health (BIH), Charité University Medicine Berlin, Berlin, Germany
| | - Marvin Reuter
- Subject Sociology, University of Bamberg, Bamberg, Bavaria, Germany
| | - Tamara Schikowski
- Leibniz-Institut für Umweltmedizinische Forschung (IUF), Dusseldorf, Germany
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, Essen University Hospital, Essen, North Rhine-Westphalia, Germany
| | - Matthias Schulze
- German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Potsdam, Brandenburg, Germany
- Institute of Nutrition Science, Faculty of Mathematics and Natural Sciences, University of Potsdam, Potsdam, Brandenburg, Germany
| | - Dmitry Sergeev
- Department of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, Germany
| | - Andreas Stang
- Institute for Medical Informatics, Biometry and Epidemiology, Essen University Hospital, Essen, North Rhine-Westphalia, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medical Center Greifswald, Greifswald, Mecklenburg-Vorpommern, Germany
| | - Christian Wiessner
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Hamburg, Germany
| | - Hajo Zeeb
- Leibniz Institute for Prevention Research and Epidemiology (LG), Bremen, Germany
| | - Daniel Lüdecke
- Institute of Medical Sociology, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Olaf von dem Knesebeck
- Institute of Medical Sociology, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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15
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Streit F, Völker MP, Klinger-König J, Zillich L, Frank J, Reinhard I, Foo JC, Witt SH, Sirignano L, Becher H, Obi N, Riedel O, Do S, Castell S, Hassenstein MJ, Karch A, Stang A, Schmidt B, Schikowski T, Stahl-Pehe A, Brenner H, Perna L, Greiser KH, Kaaks R, Michels KB, Franzke CW, Peters A, Fischer B, Konzok J, Mikolajczyk R, Führer A, Keil T, Fricke J, Willich SN, Pischon T, Völzke H, Meinke-Franze C, Loeffler M, Wirkner K, Berger K, Grabe HJ, Rietschel M. The interplay of family history of depression and early trauma: associations with lifetime and current depression in the German national cohort (NAKO). FRONTIERS IN EPIDEMIOLOGY 2023; 3:1099235. [PMID: 38523800 PMCID: PMC10959537 DOI: 10.3389/fepid.2023.1099235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 04/28/2023] [Indexed: 03/26/2024]
Abstract
Introduction Family history of depression and childhood maltreatment are established risk factors for depression. However, how these factors are interrelated and jointly influence depression risk is not well understood. The present study investigated (i) if childhood maltreatment is associated with a family history of depression (ii) if family history and childhood maltreatment are associated with increased lifetime and current depression, and whether both factors interact beyond their main effects, and (iii) if family history affects lifetime and current depression via childhood maltreatment. Methods Analyses were based on a subgroup of the first 100,000 participants of the German National Cohort (NAKO), with complete information (58,703 participants, mean age = 51.2 years, 53% female). Parental family history of depression was assessed via self-report, childhood maltreatment with the Childhood Trauma Screener (CTS), lifetime depression with self-reported physician's diagnosis and the Mini-International Neuropsychiatric Interview (MINI), and current depressive symptoms with the depression scale of the Patient Health Questionnaire (PHQ-9). Generalized linear models were used to test main and interaction effects. Mediation was tested using causal mediation analyses. Results Higher frequencies of the childhood maltreatment measures were found in subjects reporting a positive family history of depression. Family history and childhood maltreatment were independently associated with increased depression. No statistical interactions of family history and childhood maltreatment were found for the lifetime depression measures. For current depressive symptoms (PHQ-9 sum score), an interaction was found, with stronger associations of childhood maltreatment and depression in subjects with a positive family history. Childhood maltreatment was estimated to mediate 7%-12% of the effect of family history on depression, with higher mediated proportions in subjects whose parents had a depression onset below 40 years. Abuse showed stronger associations with family history and depression, and higher mediated proportions of family history effects on depression than neglect. Discussion The present study confirms the association of childhood maltreatment and family history with depression in a large population-based cohort. While analyses provide little evidence for the joint effects of both risk factors on depression beyond their individual effects, results are consistent with family history affecting depression via childhood maltreatment to a small extent.
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Affiliation(s)
- Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Maja P. Völker
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Johanna Klinger-König
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Lea Zillich
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Josef Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Iris Reinhard
- Department of Biostatistics, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Jerome C. Foo
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stephanie H. Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Lea Sirignano
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Heiko Becher
- Institute of Global Health, University Hospital Heidelberg, Heidelberg, Germany
| | - Nadia Obi
- Institute of Medical Biometry and Epidemiology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Oliver Riedel
- Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS, Bremen, Deutschland
| | - Stefanie Do
- Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS, Bremen, Deutschland
| | - Stefanie Castell
- Department for Epidemiology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
| | - Max J. Hassenstein
- Department for Epidemiology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
- PhD Programme “Epidemiology”, Braunschweig-Hannover, Germany
| | - André Karch
- Institute of Epidemiology and Social Medicine, University of Muenster, Muenster, Germany
| | - Andreas Stang
- Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Essen, Germany
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Essen, Germany
| | - Tamara Schikowski
- IUF—Leibniz Institute for Environmental Medicine, Düsseldorf, Germany
| | - Anna Stahl-Pehe
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research, University of Düsseldorf, Düsseldorf, Germany
| | - Hermann Brenner
- Network Ageing Research (NAR), Heidelberg University, Heidelberg, Germany
- Division of Clinical Epidemiology & Ageing Research, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Laura Perna
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Karin Halina Greiser
- German Cancer Research Centre (DKFZ) Heidelberg, Div. of Cancer Epidemiology, Heidelberg, Germany
| | - Rudolf Kaaks
- German Cancer Research Centre (DKFZ) Heidelberg, Div. of Cancer Epidemiology, Heidelberg, Germany
| | - Karin B. Michels
- Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Claus-Werner Franzke
- Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum Munchen, German Research Centre for Environmental Health, Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Beate Fischer
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Julian Konzok
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Rafael Mikolajczyk
- Institute for Medical Epidemiology, Biometrics and Informatics (IMEBI), Interdisciplinary Centre for Health Sciences, Medical School of the Martin Luther University Halle-Wittenberg, Halle, Germany
- German Center for Mental Health, Site Jena-Magdeburg-Halle, Jena, Germany
| | - Amand Führer
- Institute for Medical Epidemiology, Biometrics and Informatics (IMEBI), Interdisciplinary Centre for Health Sciences, Medical School of the Martin Luther University Halle-Wittenberg, Halle, Germany
| | - Thomas Keil
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Institute for Clinical Epidemiology and Biometry, University of Wuerzburg, Wuerzburg, Germany
- State Institute of Health, Bavarian Health and Food Safety Authority, Bad Kissingen, Germany
| | - Julia Fricke
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Stefan N. Willich
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Tobias Pischon
- Max-Delbrueck-Centre for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Max-Delbrueck-Centre for Molecular Medicine in the Helmholtz Association (MDC), Biobank Technology Platform, Berlin, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Claudia Meinke-Franze
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Markus Loeffler
- Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Leipzig, Germany
- Leipzig Research Center for Civilization Diseases (LIFE), University of Leipzig, Leipzig, Germany
| | - Kerstin Wirkner
- Leipzig Research Center for Civilization Diseases (LIFE), University of Leipzig, Leipzig, Germany
| | - Klaus Berger
- Institute of Epidemiology & Social Medicine, University of Muenster, Muenster, Germany
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
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16
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Ewendt F, Schmitt M, Kluttig A, Kühn J, Hirche F, Kraus FB, Ludwig-Kraus B, Mikolajczyk R, Wätjen W, Bürkner PC, Föller M, Stangl GI. Association between vitamin D status and eryptosis-results from the German National Cohort Study. Ann Hematol 2023; 102:1351-1361. [PMID: 37121914 PMCID: PMC10149638 DOI: 10.1007/s00277-023-05239-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 04/16/2023] [Indexed: 05/02/2023]
Abstract
Vitamin D, besides its classical effect on mineral homeostasis and bone remodeling, can also modulate apoptosis. A special form of apoptosis termed eryptosis appears in erythrocytes. Eryptosis is characterized by cell shrinkage, membrane blebbing, and cell membrane phospholipid disorganization and associated with diseases such as sepsis, malaria or iron deficiency, and impaired microcirculation. To our knowledge, this is the first study that linked vitamin D with eryptosis in humans. This exploratory cross-sectional trial investigated the association between the vitamin D status assessed by the concentration of plasma 25-hydroxyvitamin D (25(OH)D) and eryptosis. Plasma 25(OH)D was analyzed by LC-MS/MS, and eryptosis was estimated from annexin V-FITC-binding erythrocytes by FACS analysis in 2074 blood samples from participants of the German National Cohort Study. We observed a weak but clear correlation between low vitamin D status and increased eryptosis (r = - 0.15; 95% CI [- 0.19, - 0.10]). There were no differences in plasma concentrations of 25(OH)D and eryptosis between male and female subjects. This finding raises questions of the importance of vitamin D status for eryptosis in terms of increased risk for anemia or cardiovascular events.
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Affiliation(s)
- Franz Ewendt
- Institute of Agricultural and Nutritional Sciences, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany.
| | - Marvin Schmitt
- Cluster of Excellence SimTech, University of Stuttgart, 70569, Stuttgart, Germany
| | - Alexander Kluttig
- Institute of Medical Epidemiology, Biostatistics, and Informatics, Medical Faculty of the Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | - Julia Kühn
- Institute of Agricultural and Nutritional Sciences, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | - Frank Hirche
- Institute of Agricultural and Nutritional Sciences, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | - Frank B Kraus
- Central Laboratory, Department of Laboratory Medicine, University Hospital Halle, 06120, Halle (Saale), Germany
| | - Beatrice Ludwig-Kraus
- Central Laboratory, Department of Laboratory Medicine, University Hospital Halle, 06120, Halle (Saale), Germany
| | - Rafael Mikolajczyk
- Institute of Medical Epidemiology, Biostatistics, and Informatics, Medical Faculty of the Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | - Wim Wätjen
- Institute of Agricultural and Nutritional Sciences, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | | | - Michael Föller
- Department of Physiology, University of Hohenheim, 70599, Stuttgart, Germany
| | - Gabriele I Stangl
- Institute of Agricultural and Nutritional Sciences, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
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17
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Huemer MT, Kluttig A, Fischer B, Ahrens W, Castell S, Ebert N, Gastell S, Jöckel KH, Kaaks R, Karch A, Keil T, Kemmling Y, Krist L, Leitzmann M, Lieb W, Meinke-Franze C, Michels KB, Mikolajczyk R, Moreno Velásquez I, Pischon T, Schipf S, Schmidt B, Schöttker B, Schulze MB, Stocker H, Teismann H, Wirkner K, Drey M, Peters A, Thorand B. Grip strength values and cut-off points based on over 200,000 adults of the German National Cohort - a comparison to the EWGSOP2 cut-off points. Age Ageing 2023; 52:6998045. [PMID: 36702514 PMCID: PMC9879709 DOI: 10.1093/ageing/afac324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND The European Working Group on Sarcopenia in Older People (EWGSOP) updated in 2018 the cut-off points for low grip strength to assess sarcopenia based on pooled data from 12 British studies. OBJECTIVE Comparison of the EWGSOP2 cut-off points for low grip strength to those derived from a large German sample. METHODS We assessed the grip strength distribution across age and derived low grip strength cut-off points for men and women (peak mean -2.5 × SD) based on 200,389 German National Cohort (NAKO) participants aged 19-75 years. In 1,012 Cooperative Health Research in the Region of Augsburg (KORA)-Age participants aged 65-93 years, we calculated the age-standardised prevalence of low grip strength and time-dependent sensitivity and specificity for all-cause mortality. RESULTS Grip strength increased in the third and fourth decade of life and declined afterwards. Calculated cut-off points for low grip strength were 29 kg for men and 18 kg for women. In KORA-Age, the age-standardised prevalence of low grip strength was 1.5× higher for NAKO-derived (17.7%) compared to EWGSOP2 (11.7%) cut-off points. NAKO-derived cut-off points yielded a higher sensitivity and lower specificity for all-cause mortality. CONCLUSIONS Cut-off points for low grip strength from German population-based data were 2 kg higher than the EWGSOP2 cut-off points. Higher cut-off points increase the sensitivity, thereby suggesting an intervention for more patients at risk, while other individuals might receive additional diagnostics/treatment without the urgent need. Research on the effectiveness of intervention in patients with low grip strength defined by different cut-off points is needed.
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Affiliation(s)
- Marie-Theres Huemer
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Alexander Kluttig
- Institute of Medical Epidemiology, Biometrics and Informatics, Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Beate Fischer
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Stefanie Castell
- Department for Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Nina Ebert
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich Heine University, Dusseldorf, Germany
| | - Sylvia Gastell
- NAKO Study Center South Berlin/Brandenburg, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Karl-Heinz Jöckel
- Institut für Medizinische Informatik, Biometrie und Epidemiologie, Universitätsklinikum Essen, Essen, Germany
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - André Karch
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Thomas Keil
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany,Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany,State Institute of Health, Bavarian Health and Food Safety Authority, Erlangen, Germany
| | - Yvonne Kemmling
- Department for Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Lilian Krist
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Michael Leitzmann
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology, Kiel University, Kiel, Germany
| | - Claudia Meinke-Franze
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Karin B Michels
- Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Rafael Mikolajczyk
- Institute of Medical Epidemiology, Biometrics and Informatics, Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Ilais Moreno Velásquez
- Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany
| | - Tobias Pischon
- Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany,Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Biobank Technology Platform, Berlin, Germany,Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Core Facility Biobank, Berlin, Germany,Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Sabine Schipf
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Börge Schmidt
- Institut für Medizinische Informatik, Biometrie und Epidemiologie, Universitätsklinikum Essen, Essen, Germany
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany,Network Aging Research, Heidelberg University, Heidelberg, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany,Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Hannah Stocker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany,Network Aging Research, Heidelberg University, Heidelberg, Germany
| | - Henning Teismann
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Kerstin Wirkner
- LIFE - Leipzig Research Centre for Civilization Diseases, University of Leipzig, Leipzig, Germany,Institute for Medical Informatics, Statistics, and Epidemiology, University of Leipzig, Leipzig, Germany
| | - Michael Drey
- Department of Medicine IV, University Hospital, LMU Munich, Geriatrics, 80336 Munich, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany,German Center for Diabetes Research (DZD), München-Neuherberg, Germany,Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Barbara Thorand
- Address correspondence to: Prof. Dr. Barbara Thorand. Tel: +49 (0)89/3187-4480.
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Ortmann J, Heise JK, Janzen I, Jenniches F, Kemmling Y, Frömke C, Castell S. Suitability and user acceptance of the eResearch system "Prospective Monitoring and Management App (PIA)"-The example of an epidemiological study on infectious diseases. PLoS One 2023; 18:e0279969. [PMID: 36595548 PMCID: PMC9810156 DOI: 10.1371/journal.pone.0279969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 12/19/2022] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND The eResearch system "Prospective Monitoring and Management App (PIA)" allows researchers to implement questionnaires on any topic and to manage biosamples. Currently, we use PIA in the longitudinal study ZIFCO (Integrated DZIF Infection Cohort within the German National Cohort) in Hannover (Germany) to investigate e.g. associations of risk factors and infectious diseases. Our aim was to assess user acceptance and compliance to determine suitability of PIA for epidemiological research on transient infectious diseases. METHODS ZIFCO participants used PIA to answer weekly questionnaires on health status and report spontaneous onset of symptoms. In case of symptoms of a respiratory infection, the app requested participants to self-sample a nasal swab for viral analysis. To assess user acceptance, we implemented the System Usability Scale (SUS) and fitted a linear regression model on the resulting score. For investigation of compliance with submitting the weekly health questionnaires, we used a logistic regression model with binomial response. RESULTS We analyzed data of 313 participants (median age 52.5 years, 52.4% women). An average SUS of 72.0 reveals good acceptance of PIA. Participants with a higher technology readiness score at the beginning of study participation also reported higher user acceptance. Overall compliance with submitting the weekly health questionnaires showed a median of 55.7%. Being female, of younger age and being enrolled for a longer time decreased the odds to respond. However, women over 60 had a higher chance to respond than women under 60, while men under 40 had the highest chance to respond. Compliance with nasal swab self-sampling was 77.2%. DISCUSSION Our findings show that PIA is suitable for the use in epidemiologic studies with regular short questionnaires. Still, we will focus on user engagement and gamification for the further development of PIA to help incentivize regular and long-term participation.
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Affiliation(s)
- Julia Ortmann
- Department for Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Lower Saxony, Germany
| | - Jana-Kristin Heise
- Department for Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Lower Saxony, Germany
- German Centre of Infection Research (DZIF), Brunswick, Lower Saxony, Germany
| | - Irina Janzen
- Department for Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Lower Saxony, Germany
| | - Felix Jenniches
- Department for Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Lower Saxony, Germany
| | - Yvonne Kemmling
- Department for Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Lower Saxony, Germany
| | - Cornelia Frömke
- Hannover University of Applied Sciences and Arts, Hanover, Lower Saxony, Germany
| | - Stefanie Castell
- Department for Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Lower Saxony, Germany
- German Centre of Infection Research (DZIF), Brunswick, Lower Saxony, Germany
- * E-mail:
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19
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Abstract
Most societies witness an ever increasing prevalence of both obesity and dementia, a scenario related to often underestimated individual and public health burden. Overnutrition and weight gain have been linked with abnormal functionality of homoeostasis brain networks and changes in higher cognitive functions such as reward evaluation, executive functions and learning and memory. In parallel, evidence has accumulated that modifiable factors such as obesity and diet impact the gut-brain axis and modulate brain health and cognition through various pathways. Using neuroimaging data from epidemiological studies and randomised clinical trials, we aim to shed light on the underlying mechanisms and to determine both determinants and consequences of obesity and diet at the level of human brain structure and function. We analysed multimodal 3T MRI of about 2600 randomly selected adults (47 % female, 18-80 years of age, BMI 18-47 kg/m2) of the LIFE-Adult study, a deeply phenotyped population-based cohort. In addition, brain MRI data of controlled intervention studies on weight loss and healthy diets acquired in lean, overweight and obese participants may help to understand the role of the gut-brain axis in food craving and cognitive ageing. We find that higher BMI and visceral fat accumulation correlate with accelerated brain age, microstructure of the hypothalamus, lower thickness and connectivity in default mode- and reward-related areas, as well as with subtle grey matter atrophy and white matter lesion load in non-demented individuals. Mediation analyses indicated that higher visceral fat affects brain tissue through systemic low-grade inflammation, and that obesity-related regional changes translate into cognitive disadvantages. Considering longitudinal studies, some, but not all data indicate beneficial effects of weight loss and healthy diets such as plant-based nutrients and dietary patterns on brain ageing and cognition. Confounding effects of concurrent changes in other lifestyle factors or false positives might help to explain these findings. Therefore a more holistic intervention approach, along with open science tools such as data and code sharing, in-depth pre-registration and pooling of data could help to overcome these limitations. In addition, as higher BMI relates to increased head micro-movements during MRI, and as head motion in turn systematically induces image artefacts, future studies need to rigorously control for head motion during MRI to enable valid neuroimaging results. In sum, our results support the view that overweight and obesity are intertwined with markers of brain health in the general population, and that weight loss and plant-based diets may help to promote brain plasticity. Meta-analyses and longitudinal cohort studies are underway to further differentiate causation from correlation in obesity- and nutrition-brain research.
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20
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Porst M, von der Lippe E, Leddin J, Anton A, Wengler A, Breitkreuz J, Schüssel K, Brückner G, Schröder H, Gruhl H, Plaß D, Barnes B, A. Busch M, Haller S, Hapke U, Neuhauser H, Reitzle L, Scheidt-Nave C, Schlotmann A, Steppuhn H, Thom J, Ziese T, Rommel A. The Burden of Disease in Germany at the National and Regional Level. DEUTSCHES ARZTEBLATT INTERNATIONAL 2022; 119:785-792. [PMID: 36350160 PMCID: PMC9902892 DOI: 10.3238/arztebl.m2022.0314] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Revised: 05/01/2022] [Accepted: 08/29/2022] [Indexed: 11/11/2022]
Abstract
BACKGROUND .Summary measures such as disability-adjusted life years (DALY) are becoming increasingly important for the standardized assessment of the burden of disease due to death and disability. The BURDEN 2020 pilot project was designed as an independent burden-of-disease study for Germany, which was based on nationwide data, but which also yielded regional estimates. METHODS DALY is defined as the sum of years of life lost due to death (YLL) and years lived with disability (YLD). YLL is the difference between the age at death due to disease and the remaining life expectancy at this age, while YLD quantifies the number of years individuals have spent with health impairments. Data are derived mainly from causes of death statistics, population health surveys, and claims data from health insurers. RESULTS In 2017, there were approximately 12 million DALY in Germany, or 14 584 DALY per 100 000 inhabitants. Conditions which caused the greatest number of DALY were coronary heart disease (2321 DALY), low back pain (1735 DALY), and lung cancer (1197 DALY). Headache and dementia accounted for a greater disease burden in women than in men, while lung cancer and alcohol use disorders accounted for a greater disease burden in men than in women. Pain disorders and alcohol use disorders were the leading causes of DALY among young adults of both sexes. The disease burden rose with age for some diseases, including cardiovascular diseases, dementia, and diabetes mellitus. For some diseases and conditions, the disease burden varied by geographical region. CONCLUSION The results indicate a need for age- and sex-specific prevention and for differing interventions according to geographic region. Burden of disease studies yield comprehensive population health surveillance data and are a useful aid to decision-making in health policy.
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Affiliation(s)
- Michael Porst
- Robert Koch Institute, Department 2, Epidemiology and Health Monitoring, Berlin
| | - Elena von der Lippe
- Robert Koch Institute, Department 2, Epidemiology and Health Monitoring, Berlin
| | - Janko Leddin
- Robert Koch Institute, Department 2, Epidemiology and Health Monitoring, Berlin
| | - Aline Anton
- Robert Koch Institute, Department 2, Epidemiology and Health Monitoring, Berlin
| | - Annelene Wengler
- Robert Koch Institute, Department 2, Epidemiology and Health Monitoring, Berlin
| | | | | | | | | | - Heike Gruhl
- German Federal Environment Agency, Department II 1 Environmental Hygiene, Berlin
| | - Dietrich Plaß
- German Federal Environment Agency, Department II 1 Environmental Hygiene, Berlin
| | - Benjamin Barnes
- Robert Koch Institute, Department 2, Epidemiology and Health Monitoring, Berlin
| | - Markus A. Busch
- Robert Koch Institute, Department 2, Epidemiology and Health Monitoring, Berlin
| | - Sebastian Haller
- Robert Koch Institute, Department 3, Infectious Disease Epidemiology, Berlin
| | - Ulfert Hapke
- Robert Koch Institute, Department 2, Epidemiology and Health Monitoring, Berlin
| | - Hannelore Neuhauser
- Robert Koch Institute, Department 2, Epidemiology and Health Monitoring, Berlin
| | - Lukas Reitzle
- Robert Koch Institute, Department 2, Epidemiology and Health Monitoring, Berlin
| | | | | | - Henriette Steppuhn
- Robert Koch Institute, Department 2, Epidemiology and Health Monitoring, Berlin
| | - Julia Thom
- Robert Koch Institute, Department 2, Epidemiology and Health Monitoring, Berlin
| | - Thomas Ziese
- Robert Koch Institute, Department 2, Epidemiology and Health Monitoring, Berlin
| | - Alexander Rommel
- Robert Koch Institute, Department 2, Epidemiology and Health Monitoring, Berlin
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21
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Framework and baseline examination of the German National Cohort (NAKO). Eur J Epidemiol 2022; 37:1107-1124. [PMID: 36260190 PMCID: PMC9581448 DOI: 10.1007/s10654-022-00890-5] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 06/14/2022] [Indexed: 11/25/2022]
Abstract
The German National Cohort (NAKO) is a multidisciplinary, population-based prospective cohort study that aims to investigate the causes of widespread diseases, identify risk factors and improve early detection and prevention of disease. Specifically, NAKO is designed to identify novel and better characterize established risk and protection factors for the development of cardiovascular diseases, cancer, diabetes, neurodegenerative and psychiatric diseases, musculoskeletal diseases, respiratory and infectious diseases in a random sample of the general population. Between 2014 and 2019, a total of 205,415 men and women aged 19–74 years were recruited and examined in 18 study centres in Germany. The baseline assessment included a face-to-face interview, self-administered questionnaires and a wide range of biomedical examinations. Biomaterials were collected from all participants including serum, EDTA plasma, buffy coats, RNA and erythrocytes, urine, saliva, nasal swabs and stool. In 56,971 participants, an intensified examination programme was implemented. Whole-body 3T magnetic resonance imaging was performed in 30,861 participants on dedicated scanners. NAKO collects follow-up information on incident diseases through a combination of active follow-up using self-report via written questionnaires at 2–3 year intervals and passive follow-up via record linkages. All study participants are invited for re-examinations at the study centres in 4–5 year intervals. Thereby, longitudinal information on changes in risk factor profiles and in vascular, cardiac, metabolic, neurocognitive, pulmonary and sensory function is collected. NAKO is a major resource for population-based epidemiology to identify new and tailored strategies for early detection, prediction, prevention and treatment of major diseases for the next 30 years.
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22
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Albrecht K, Callhoff J, Strangfeld A. [Is the prevalence of rheumatoid arthritis truly on the rise?]. Z Rheumatol 2022; 81:323-327. [PMID: 35359174 PMCID: PMC9061644 DOI: 10.1007/s00393-022-01192-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/02/2022] [Indexed: 11/28/2022]
Abstract
A growing number of health insurance data analyses show an increase in the prevalence of rheumatoid arthritis (RA) in Germany. The studies refer to the claims diagnosis of RA, which is more frequent in recent years compared to earlier periods. Depending on the case definition, the numbers vary between 0.6% and 1.4% of the adult population. In this paper, the different studies are reviewed with regard to their data sources, the case definitions of RA and the frequency of the diagnosis. Due to the lack of clinical validation, the prevalence cannot be precisely determined from claims data.
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Affiliation(s)
- Katinka Albrecht
- Programmbereich Epidemiologie und Versorgungsforschung, Deutsches Rheuma-Forschungszentrum Berlin, Charitéplatz 1, 10117, Berlin, Deutschland.
| | - Johanna Callhoff
- Programmbereich Epidemiologie und Versorgungsforschung, Deutsches Rheuma-Forschungszentrum Berlin, Charitéplatz 1, 10117, Berlin, Deutschland.,Institut für Sozialmedizin, Epidemiologie und Gesundheitsökonomie, Charité Universitätsmedizin Berlin, Berlin, Deutschland
| | - Anja Strangfeld
- Programmbereich Epidemiologie und Versorgungsforschung, Deutsches Rheuma-Forschungszentrum Berlin, Charitéplatz 1, 10117, Berlin, Deutschland.,Medizinische Klinik mit Schwerpunkt Rheumatologie und Klinische Immunologie, Charité Universitätsmedizin Berlin, Berlin, Deutschland
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23
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Dragano*1 N, Reuter*1 […]*2 M, Berger K. Increase in Mental Disorders During the COVID-19 Pandemic-The Role of Occupational and Financial Strains. DEUTSCHES ARZTEBLATT INTERNATIONAL 2022; 119:179-187. [PMID: 35197188 PMCID: PMC9229580 DOI: 10.3238/arztebl.m2022.0133] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 11/08/2021] [Accepted: 04/02/2022] [Indexed: 12/29/2022]
Abstract
BACKGROUND Numerous studies have reported an increase in mental disorders during the COVID-19 pandemic, but the exact reasons for this development are not well understood. In this study we investigate whether pandemic-related occupational and financial changes (e.g., reduced working hours, working from home, financial losses) were associated with increased symptoms of depression and anxiety compared with the situation before the pandemic. METHODS We analyzed data from the German National Cohort (NAKO) Study. Between May and November 2020, 161 849 study participants answered questions on their mental state and social circumstances. Their responses were compared with data from the baseline survey before the pandemic (2014-2019). Linear fixed-effects models were used to determine whether individual changes in the severity of symptoms of depression (PHQ-9) or anxiety (GAD-7) were associated with occupational/ financial changes (controlling for various covariates). RESULTS The prevalence of moderate or severe symptoms of depression and anxiety increased by 2.4% and 1.5%, respectively, during the COVID-19 pandemic compared with the preceding years. The mean severity of the symptoms rose slightly. A pronounced increase in symptoms was observed among those who became unemployed during the pandemic (+ 1.16 points on the depression scale, 95% confidence interval [0.91; 1.41], range 0-27). Increases were also seen for reduced working hours with no short-time allowance, increased working hours, working from home, insecurity regarding employment, and financial strain. The deterioration in mental health was largely statistically explained by the occupational and financial changes investigated in the model. CONCLUSION Depressive symptoms and anxiety disorders increased slightly in the study population during the first year of the COVID-19 pandemic. Occupational and financial difficulties were an essential contributory factor. These strains should be taken into account both in the care of individual patients and in the planning of targeted prevention measures.
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Affiliation(s)
- Nico Dragano*1
- *1 All authors are co-first authors.,Institute of Medical Sociology, Center for Health and Society, Medical Faculty of the Heinrich Heine University of Düsseldorf, Düsseldorf, Germany,*Institut für Medizinische Soziologie Centre for Health and Society Medizinische Fakultät der Heinrich-Heine-Universität Düsseldorf Moorenstraße 5, 40225 Düsseldorf, Germany
| | - Marvin Reuter*1 […]*2
- *1 All authors are co-first authors.,*2 Additional authors have contributed to this publication. They are listed under “cite this as” and at the end of this article together with their affiliations.,Institute of Medical Sociology, Center for Health and Society, Medical Faculty of the Heinrich Heine University of Düsseldorf, Düsseldorf, Germany
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, Münster, Germany
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24
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SARS-CoV-2 seroprevalence and determinants of infection in young adults: A population-based seroepidemiological study. Public Health 2022; 207:54-61. [PMID: 35490440 PMCID: PMC8940565 DOI: 10.1016/j.puhe.2022.03.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 02/18/2022] [Accepted: 03/15/2022] [Indexed: 11/24/2022]
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25
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Brandl C, Zimmermann ME, Günther F, Dietl A, Küchenhoff H, Loss J, Stark KJ, Heid IM. Changes in healthcare seeking and lifestyle in old aged individuals during COVID-19 lockdown in Germany: the population-based AugUR study. BMC Geriatr 2022; 22:34. [PMID: 34998375 PMCID: PMC8742665 DOI: 10.1186/s12877-021-02677-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Accepted: 11/29/2021] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Containment measures in the COVID-19 pandemic protected individuals at high risk, particularly individuals at old age, but little is known about how these measures affected health-related behavior of old aged individuals. We aimed to investigate the impact of the spring 2020 lockdown in Germany on healthcare-seeking and health-related lifestyle in the old aged and to identify susceptible subgroups. METHODS We conducted a follow-up survey among the pre-pandemically well-characterized participants of our AugUR cohort study, residents in/around Regensburg aged 70+ years and relatively mobile. A self-completion questionnaire on current behavior, perceived changes, and SARS-Cov-2 infection was mailed in May 2020, shortly before contact restrictions ended. Pre-pandemic lifestyle and medical conditions were derived from previous study center visits. RESULTS Among 1850 survey participants (73-98 years; net-response 89%), 74% were at increased risk for severe COVID-19 according to medical conditions; four participants reported SARS-CoV-2 infection (0.2%). Participants reported changes in behavior: 29% refrained from medical appointments, 14% increased TV consumption, 26% reported less physical activity, but no systematic increase of smoking or alcohol consumption. When comparing during- and pre-lockdown reports of lifestyle within participant, we found the same pattern as for the reported perceived changes. Women and the more educated were more susceptible to changes. Worse QOL was perceived by 38%. CONCLUSIONS Our data suggest that the spring 2020 lockdown did not affect the lifestyle of a majority of the mobile old aged individuals, but the substantial proportions with decreased physical activity and healthcare-seeking are markers of collateral damage.
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Affiliation(s)
- Caroline Brandl
- Department of Genetic Epidemiology, University of Regensburg, Franz-Josef-Strauß-Alle 11, 93053, Regensburg, Germany
- Department of Ophthalmology, University Hospital Regensburg, Regensburg, Germany
- Institute of Human Genetics, University of Regensburg, Regensburg, Germany
| | - Martina E Zimmermann
- Department of Genetic Epidemiology, University of Regensburg, Franz-Josef-Strauß-Alle 11, 93053, Regensburg, Germany
| | - Felix Günther
- Department of Genetic Epidemiology, University of Regensburg, Franz-Josef-Strauß-Alle 11, 93053, Regensburg, Germany
- Statistical Consulting Unit StaBLab, Department of Statistics, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Alexander Dietl
- Department of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany
| | - Helmut Küchenhoff
- Statistical Consulting Unit StaBLab, Department of Statistics, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Julika Loss
- Medical Sociology, Department for Epidemiology and Preventive Medicine, University of Regensburg, Dr. Gessler-Str. 17, 93051, Regensburg, Germany
- Robert Koch-Institut, Abteilung für Epidemiologie und Gesundheitsmonitoring, Berlin, Germany
| | - Klaus J Stark
- Department of Genetic Epidemiology, University of Regensburg, Franz-Josef-Strauß-Alle 11, 93053, Regensburg, Germany
| | - Iris M Heid
- Department of Genetic Epidemiology, University of Regensburg, Franz-Josef-Strauß-Alle 11, 93053, Regensburg, Germany.
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26
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Hassan L, Efremov L, Großkopf A, Kartschmit N, Medenwald D, Schott A, Schmidt-Pokrzywniak A, Lacruz ME, Tiller D, Kraus FB, Greiser KH, Haerting J, Werdan K, Sedding D, Simm A, Nuding S, Kluttig A, Mikolajczyk R. Cardiovascular risk factors, living and ageing in Halle: the CARLA study. Eur J Epidemiol 2022; 37:103-116. [PMID: 34978665 PMCID: PMC8791893 DOI: 10.1007/s10654-021-00824-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 11/24/2021] [Indexed: 11/25/2022]
Abstract
The CARLA study (Cardiovascular Disease, Living and Ageing in Halle) is a longitudinal population-based cohort study of the general population of the city of Halle (Saale), Germany. The primary aim of the cohort was to investigate risk factors for cardiovascular diseases based on comprehensive cardiological phenotyping of study participants and was extended to study factors associated with healthy ageing. In total, 1779 probands (812 women and 967 men, aged 45–83 years) were examined at baseline (2002–2005), with a first and second follow-up performed 4 and 8 years later. The response proportion at baseline was 64.1% and the reparticipation proportion for the first and second follow-up was 86% and 77% respectively. Sixty-four percent of the study participants were in retirement while 25% were full- or partially-employed and 11% were unemployed at the time of the baseline examination. The currently running third follow-up focuses on the assessment of physical and mental health, with an intensive 4 h examination program, including measurement of cardiovascular, neurocognitive, balance and gait parameters. The data collected in the CARLA Study resulted in answering various research questions in over 80 publications, of which two thirds were pooled analyses with other similar population-based studies. Due to the extensiveness of information on risk factors, subclinical conditions and evident diseases, the biobanking concept for the biosamples, the cohort representativeness of an elderly population, and the high level of quality assurance, the CARLA cohort offers a unique platform for further research on important indicators for healthy ageing.
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Affiliation(s)
- Lamiaa Hassan
- Institute of Medical Epidemiology, Biostatistics, and Informatics, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
- Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Ljupcho Efremov
- Institute of Medical Epidemiology, Biostatistics, and Informatics, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
- Department of Radiation Oncology, University Hospital Halle (Saale), Halle (Saale), Germany
- Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Anne Großkopf
- University Clinic and Outpatient Clinic for Cardiac Surgery, Middle German Heart Centre at the University Hospital Halle, Halle, Germany
| | - Nadja Kartschmit
- Institute of Medical Epidemiology, Biostatistics, and Informatics, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
- Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Daniel Medenwald
- Department of Radiation Oncology, University Hospital Halle (Saale), Halle (Saale), Germany
| | - Artjom Schott
- Department of Internal Medicine III, University Hospital, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Andrea Schmidt-Pokrzywniak
- Institute of Medical Epidemiology, Biostatistics, and Informatics, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
- Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Maria E Lacruz
- Institute of Medical Epidemiology, Biostatistics, and Informatics, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Daniel Tiller
- Institute of Medical Epidemiology, Biostatistics, and Informatics, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
- Clinical Computing Center - Data Integration Center, University Hospital Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | | | - Karin H Greiser
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Johannes Haerting
- Institute of Medical Epidemiology, Biostatistics, and Informatics, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Karl Werdan
- Department of Internal Medicine III, University Hospital, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Daniel Sedding
- Department of Internal Medicine III, University Hospital, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Andreas Simm
- University Clinic and Outpatient Clinic for Cardiac Surgery, Middle German Heart Centre at the University Hospital Halle, Halle, Germany
| | - Sebastian Nuding
- Department of Internal Medicine III, University Hospital, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Alexander Kluttig
- Institute of Medical Epidemiology, Biostatistics, and Informatics, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.
- Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.
| | - Rafael Mikolajczyk
- Institute of Medical Epidemiology, Biostatistics, and Informatics, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
- Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
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Dietl A, Zimmermann ME, Brandl C, Wallner S, Burkhardt R, Maier LS, Luchner A, Heid IM, Stark KJ. Distribution and specificity of high-sensitivity cardiac troponin T in older adults without acute cardiac conditions: cross-sectional results from the population-based AugUR study. BMJ Open 2021; 11:e052004. [PMID: 34728452 PMCID: PMC8565570 DOI: 10.1136/bmjopen-2021-052004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVE European guidelines recommended a uniform upper reference limit of high-sensitivity cardiac troponin T (hsTnT) to rule out non-ST segment elevation myocardial infarction. Our study aimed to provide a hsTnT reference distribution and to assess the specificity of the 14 ng/L cut-off value in the mobile population ≥70 years of age. DESIGN A cross-sectional analysis was performed in the German AugUR study (Altersbezogene Untersuchungen zur Gesundheit der University of Regensburg). SETTING Study population was the mobile population aged 70+ years living in the city and county of Regensburg, Germany. PARTICIPANTS A random sample was derived from the local population registries of residence. Of the 5644 individuals invited, 1133 participated (response ratio=20.1%). All participants came to the study centre and were mentally and physically mobile to conduct the protocol (face-to-face interview, blood draw and standardised transthoracic echocardiography). None of the participants was in an acute state of myocardial infarction. RESULTS Among the 1129 individuals with hsTnT measurements (overall median=10.0 ng/L(25th, 75th percentile)=(7.0, 15.0 ng/L)), hsTnT was higher among the older individuals and higher among men (men 70-74 years median=9.6 ng/L (7.2, 13.1 ng/L); men 90-95 years median=21.2 ng/L (14.6, 26.0 ng/L); women 70-74 years median=6.3 ng/L (4.7, 8.7 ng/L); and women 90-95 years median=18.0 ng/L (11.0, 21.0 ng/L)). In participants with impaired kidney function (eGFRcrea <60 mL/min/1.73 m2), hsTnT was elevated (median=13.6 ng/L (9.4, 20.6 ng/L)).Specificity of recommended upper reference limit, 14 ng/L, is 68%. Most false positives were among men aged >79 years (specificity=34%). In a healthy subgroup (n=96, none of the following: overt heart disease, impaired renal function, blood pressure >160/100 mm Hg, left ventricular hypertrophy and diastolic/systolic dysfunction), specificity was 90%. CONCLUSION In the elderly population without acute myocardial infarction, hsTnT further increases with age showing different levels for men and women. The specificity of the 14 ng/L cut-off is considerably lower than 99%, even in healthy subjects.
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Affiliation(s)
- Alexander Dietl
- Department of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany
| | - Martina E Zimmermann
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Caroline Brandl
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
- Department of Ophthalmology, University Hospital Regensburg, Regensburg, Germany
| | - Stefan Wallner
- Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Regensburg, Regensburg, Germany
| | - Ralph Burkhardt
- Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Regensburg, Regensburg, Germany
| | - Lars S Maier
- Department of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany
| | - Andreas Luchner
- Department of Cardiology, Krankenhaus Barmherzige Brueder Regensburg, Regensburg, Germany
| | - Iris M Heid
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Klaus J Stark
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
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Pinart M, Nimptsch K, Forslund SK, Schlicht K, Gueimonde M, Brigidi P, Turroni S, Ahrens W, Hebestreit A, Wolters M, Dötsch A, Nöthlings U, Oluwagbemigun K, Cuadrat RRC, Schulze MB, Standl M, Schloter M, De Angelis M, Iozzo P, Guzzardi MA, Vlaemynck G, Penders J, Jonkers DMAE, Stemmer M, Chiesa G, Cavalieri D, De Filippo C, Ercolini D, De Filippis F, Ribet D, Achamrah N, Tavolacci MP, Déchelotte P, Bouwman J, Laudes M, Pischon T. Identification and Characterization of Human Observational Studies in Nutritional Epidemiology on Gut Microbiomics for Joint Data Analysis. Nutrients 2021; 13:nu13093292. [PMID: 34579168 PMCID: PMC8466729 DOI: 10.3390/nu13093292] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 09/10/2021] [Accepted: 09/17/2021] [Indexed: 01/16/2023] Open
Abstract
In any research field, data access and data integration are major challenges that even large, well-established consortia face. Although data sharing initiatives are increasing, joint data analyses on nutrition and microbiomics in health and disease are still scarce. We aimed to identify observational studies with data on nutrition and gut microbiome composition from the Intestinal Microbiomics (INTIMIC) Knowledge Platform following the findable, accessible, interoperable, and reusable (FAIR) principles. An adapted template from the European Nutritional Phenotype Assessment and Data Sharing Initiative (ENPADASI) consortium was used to collect microbiome-specific information and other related factors. In total, 23 studies (17 longitudinal and 6 cross-sectional) were identified from Italy (7), Germany (6), Netherlands (3), Spain (2), Belgium (1), and France (1) or multiple countries (3). Of these, 21 studies collected information on both dietary intake (24 h dietary recall, food frequency questionnaire (FFQ), or Food Records) and gut microbiome. All studies collected stool samples. The most often used sequencing platform was Illumina MiSeq, and the preferred hypervariable regions of the 16S rRNA gene were V3–V4 or V4. The combination of datasets will allow for sufficiently powered investigations to increase the knowledge and understanding of the relationship between food and gut microbiome in health and disease.
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Affiliation(s)
- Mariona Pinart
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany; (M.P.); (T.P.)
| | - Katharina Nimptsch
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany; (M.P.); (T.P.)
- Correspondence: ; Tel.: +49-30-9046-4573
| | - Sofia K. Forslund
- Experimental and Clinical Research Center, A Cooperation of Charité-Universitätsmedizin Berlin and Max Delbrück Center for Molecular Medicine, Lindenberger Weg 80, 13125 Berlin, Germany;
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, 10117 Berlin, Germany
- Host-Microbiome Factors in Cardiovascular Disease Lab, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Berlin, 10785 Berlin, Germany
- Berlin Institute of Health (BIH), 10178 Berlin, Germany
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany
| | - Kristina Schlicht
- Institute of Diabetes and Clinical Metabolic Research, University of Kiel, 24105 Kiel, Germany; (K.S.); (M.L.)
| | - Miguel Gueimonde
- Department of Microbiology and Biochemistry of Dairy Products, IPLA-CSIC, 33300 Villaviciosa, Spain;
- Diet, Microbiota and Health Group, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), 33011 Oviedo, Spain
| | - Patrizia Brigidi
- Department of Medical and Surgical Sciences, University of Bologna, Via Massarenti 9, 40138 Bologna, Italy;
| | - Silvia Turroni
- Department of Pharmacy and Biotechnology, University of Bologna, Via Belmeloro 6, 40126 Bologna, Italy;
| | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology-BIPS, 28359 Bremen, Germany; (W.A.); (A.H.); (M.W.)
- Institute of Statistics, Bremen University, 28359 Bremen, Germany
| | - Antje Hebestreit
- Leibniz Institute for Prevention Research and Epidemiology-BIPS, 28359 Bremen, Germany; (W.A.); (A.H.); (M.W.)
| | - Maike Wolters
- Leibniz Institute for Prevention Research and Epidemiology-BIPS, 28359 Bremen, Germany; (W.A.); (A.H.); (M.W.)
| | - Andreas Dötsch
- Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut (MRI)-Federal Research Institute of Nutrition and Food, 76131 Karlsruhe, Germany;
| | - Ute Nöthlings
- Nutritional Epidemiology Unit, Institute of Nutrition and Food Sciences, University of Bonn, 53115 Bonn, Germany; (U.N.); (K.O.)
| | - Kolade Oluwagbemigun
- Nutritional Epidemiology Unit, Institute of Nutrition and Food Sciences, University of Bonn, 53115 Bonn, Germany; (U.N.); (K.O.)
| | - Rafael R. C. Cuadrat
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, 14558 Nuthetal, Germany; (R.R.C.C.); (M.B.S.)
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, 14558 Nuthetal, Germany; (R.R.C.C.); (M.B.S.)
- Institute of Nutritional Science, University of Potsdam, 14558 Potsdam, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Marie Standl
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, 85764 Neuherberg, Germany;
| | - Michael Schloter
- Research Unit for Comparative Microbiome Analysis, Helmholtz Zentrum München-German Research Center for Environmental Health, 85764 Neuherberg, Germany;
| | - Maria De Angelis
- Department of Soil, Plant and Food Sciences, University of Bari Aldo Moro, 70126 Bari, Italy;
| | - Patricia Iozzo
- Institute of Clinical Physiology, National Research Council, Via Moruzzi 1, 56124 Pisa, Italy; (P.I.); (M.A.G.)
| | - Maria Angela Guzzardi
- Institute of Clinical Physiology, National Research Council, Via Moruzzi 1, 56124 Pisa, Italy; (P.I.); (M.A.G.)
| | - Geertrui Vlaemynck
- Department Technology and Food, Flanders Research Institute for Agriculture, Fisheries and Food, 9090 Melle, Belgium;
| | - John Penders
- Department of Medical Microbiology, School of Nutrition and Translational Research in Metabolism (NUTRIM) and Care and Public Health Research Institute (CAPHRI), Maastricht University Medical Center, 6200 MD Maastricht, The Netherlands;
| | - Daisy M. A. E. Jonkers
- Department of Internal Medicine, Division Gastroenterology-Hepatology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, 6200 MD Maastricht, The Netherlands;
| | - Maya Stemmer
- Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer-Sheva P.O. Box 653, Israel;
| | - Giulia Chiesa
- Department of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, 20133 Milan, Italy;
| | - Duccio Cavalieri
- Department of Biology, University of Florence, Via Madonna del Piano 6, 50019 Florence, Italy;
| | - Carlotta De Filippo
- Institute of Agricultural Biology and Biotechnology National Research Council, Via Moruzzi 1, 56124 Pisa, Italy;
| | - Danilo Ercolini
- Department of Agricultural Sciences, University of Naples Federico II, 80055 Portici, Italy; (D.E.); (F.D.F.)
- Task Force on Microbiome Studies, University of Naples Federico II, 80134 Naples, Italy
| | - Francesca De Filippis
- Department of Agricultural Sciences, University of Naples Federico II, 80055 Portici, Italy; (D.E.); (F.D.F.)
- Task Force on Microbiome Studies, University of Naples Federico II, 80134 Naples, Italy
| | - David Ribet
- INSERM UMR 1073 “Nutrition, Inflammation and Gut-Brain Axis Dysfunctions”, UNIROUEN, Normandie University, 76000 Rouen, France; (D.R.); (N.A.); (M.-P.T.); (P.D.)
| | - Najate Achamrah
- INSERM UMR 1073 “Nutrition, Inflammation and Gut-Brain Axis Dysfunctions”, UNIROUEN, Normandie University, 76000 Rouen, France; (D.R.); (N.A.); (M.-P.T.); (P.D.)
- Department of Nutrition, CHU Rouen, 76000 Rouen, France
| | - Marie-Pierre Tavolacci
- INSERM UMR 1073 “Nutrition, Inflammation and Gut-Brain Axis Dysfunctions”, UNIROUEN, Normandie University, 76000 Rouen, France; (D.R.); (N.A.); (M.-P.T.); (P.D.)
- INSERM CIC-CRB 1404, CHU Rouen, 76000 Rouen, France
| | - Pierre Déchelotte
- INSERM UMR 1073 “Nutrition, Inflammation and Gut-Brain Axis Dysfunctions”, UNIROUEN, Normandie University, 76000 Rouen, France; (D.R.); (N.A.); (M.-P.T.); (P.D.)
- Department of Nutrition, CHU Rouen, 76000 Rouen, France
| | - Jildau Bouwman
- Microbiology and Systems Biology Group, TNO, Utrechtseweg 48, 3704 HE Zeist, The Netherlands;
| | - Matthias Laudes
- Institute of Diabetes and Clinical Metabolic Research, University of Kiel, 24105 Kiel, Germany; (K.S.); (M.L.)
| | - Tobias Pischon
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany; (M.P.); (T.P.)
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, 10117 Berlin, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Berlin, 10785 Berlin, Germany
- Biobank Technology Platform, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany
- Biobank Core Facility, Berlin Institute of Health at Charité-Universitätsmedizin Berlin, 10178 Berlin, Germany
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Pinker V, Brandstetter S, Tischer C, Seelbach-Göbel B, Melter M, Kabesch M, Apfelbacher C. Determinants of maternal health four weeks after delivery: cross-sectional findings from the KUNO-kids health study. BMC Public Health 2021; 21:1676. [PMID: 34525999 PMCID: PMC8442319 DOI: 10.1186/s12889-021-11667-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Accepted: 08/26/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The aim of this study was to examine the interaction of a multitude of socio-economic, lifestyle, environmental, psychosocial and birth related determinants and their effect on maternal health four weeks after delivery. METHODS We used data from a German birth cohort study, the KUNO-Kids health study. Social determinants, as well as the self-rated maternal health and the physical and mental health status of mothers (indicated by means of the SF-12-questionnaire) were assessed through standardized questionnaires and personal interviews right after delivery and four weeks later. Linear regression models were calculated to determine the relationship between influencing factors and health outcomes. RESULTS 1428 women were included in the analysis. Maternal self-rated health showed significant positive associations with breastfeeding (B (regression coefficient) 2.67; 0.86-4.48 (95% Confidence interval)) and estimating one's child as rather healthy (B 0.27; 0.19-0.34) and negative associations with social and emotional strains (B -3.50; -5.11- -1.88), obesity (B -2.56; -4.69- -0.42), having experienced a C-section (B -1.73; -3.23- -0.23), a positive history of somatic diseases (B -2.14; -3.53- -0.74), parental stress (B -0.39; -0.66- -0.11) and education of more than ten years (B -2.42; -3.95- -0.90). Maternal physical health status showed significant negative associations with age (B -0.13; -0.25- -0.01), employment before maternity leave (B -1.90; -3.59- -0.21), social and emotional strains (B -1.50; -2.67- -0.34), parental stress (B -0.28; -0.45- -0.12), C-section (B -4.06; -5.12- -2.99), having the first child (B -2.03; -3.09- -0.97) and a history of somatic diseases (B -2.00; -2.99- -1.01). Maternal mental health status showed significant positive associations with education of more than 10 years (B 2.27; 0.98-3.56) and a high level of social support (B 1.20; 0.06-2.34), while social and emotional strains (B -4.16; -5.48- -2.84) and parental stress (B -0.70; -0.92- -0.47) were negatively associated. CONCLUSIONS We identified important protective factors for maternal health four weeks after delivery, such as a high level of social support. However, parental stress and social and emotional strains in particular seem to have a negative influence on maternal health. These findings have public health relevance.
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Affiliation(s)
- Veronika Pinker
- Institute of Social Medicine and Health Systems Research, Otto von Guericke University Magdeburg, Magdeburg, Germany. .,Medical Sociology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany.
| | - Susanne Brandstetter
- University Children's Hospital Regensburg (KUNO) University of Regensburg, Regensburg, Germany.,Member of the Research and Development Campus Regensburg (WECARE), Hospital St. Hedwig of the Order of St. John, Regensburg, Germany
| | - Christina Tischer
- Institute of Social Medicine and Health Systems Research, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - Birgit Seelbach-Göbel
- Clinic of Obstetrics and Gynecology at St. Hedwig's hospital, University of Regensburg, Regensburg, Germany
| | - Michael Melter
- University Children's Hospital Regensburg (KUNO) University of Regensburg, Regensburg, Germany.,Member of the Research and Development Campus Regensburg (WECARE), Hospital St. Hedwig of the Order of St. John, Regensburg, Germany
| | - Michael Kabesch
- University Children's Hospital Regensburg (KUNO) University of Regensburg, Regensburg, Germany.,Member of the Research and Development Campus Regensburg (WECARE), Hospital St. Hedwig of the Order of St. John, Regensburg, Germany
| | - Christian Apfelbacher
- Institute of Social Medicine and Health Systems Research, Otto von Guericke University Magdeburg, Magdeburg, Germany.,Medical Sociology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany.,Member of the Research and Development Campus Regensburg (WECARE), Hospital St. Hedwig of the Order of St. John, Regensburg, Germany
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Krist L, Bedir A, Fricke J, Kluttig A, Mikolajczyk R. The effect of home visits as an additional recruitment step on the composition of the final sample: a cross-sectional analysis in two study centers of the German National Cohort (NAKO). BMC Med Res Methodol 2021; 21:176. [PMID: 34425747 PMCID: PMC8383386 DOI: 10.1186/s12874-021-01357-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 07/22/2021] [Indexed: 12/04/2022] Open
Abstract
Background Participation in epidemiologic studies has been declining over the last decades. In addition to postal invitations and phone calls, home visits can be conducted to increase participation. The aim of this study was therefore to evaluate the effects of home visits in terms of response increase and composition of the additionally recruited and final sample. Methods In the framework of the German National Cohort (NAKO) recruitment process, two of 18 study centers, Halle (Saale) and Berlin-Center, performed home visits as additional recruitment step after postal invitation and reminders. Response increase was calculated and differences between participants recruited via home visits and standard recruitment were examined. Proportions are presented as percentages with 95%-confidence intervals. Results In the general population in Halle, 21.3-22.8% participated after postal invitation and two reminders in the five assessed recruitment waves. The increase of the overall response was 2.8 percentage points (95%confidence interval: 1.9-4.0) for home visits compared to 2.4 percentage points (95%CI: 1.7-3.3) for alternatively sent third postal reminder. Participants recruited via home visits had similar characteristics to those recruited via standard recruitment. Among persons of Turkish descent in Berlin-Center site of the NAKO, home visits conducted by native speakers increased the participation of women, persons living together with their partner, were born in Turkey, had lower German language skills, lower-income, lower education, were more often smokers and reported more often diabetes and depression to a degree which changed overall estimates for this subsample. Conclusions As an additional recruitment measure in the general population, home visits increased response only marginally, and the through home visits recruited participants did not differ from those already recruited. Among persons with migration background, home visits by a native speaker increased participation of persons not reached by the standard recruitment, but the effects of using a native speaker approach could not be separated from the effect of home visits. Supplementary Information The online version contains supplementary material available at 10.1186/s12874-021-01357-z.
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Affiliation(s)
- Lilian Krist
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin, Berlin, Germany.
| | - Ahmed Bedir
- Department of Radiation Oncology, Health Services Research Group, University Hospital Halle (Saale), Halle (Saale), Germany
| | - Julia Fricke
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin, Berlin, Germany
| | - Alexander Kluttig
- Institute of Medical Epidemiology, Biometry, and Informatics, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Rafael Mikolajczyk
- Institute of Medical Epidemiology, Biometry, and Informatics, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
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Berger K, Riedel-Heller S, Pabst A, Rietschel M, Richter D. [Loneliness during the first wave of the SARS-CoV-2 pandemic-results of the German National Cohort (NAKO)]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2021; 64:1157-1164. [PMID: 34327541 PMCID: PMC8320420 DOI: 10.1007/s00103-021-03393-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 07/05/2021] [Indexed: 12/04/2022]
Abstract
Hintergrund Mit Beginn der SARS-CoV-2-Pandemie und der nachfolgenden Maßnahmen zu ihrer Eindämmung im Frühjahr 2020 ist rasch die Frage nach Auswirkungen der Beschränkung sozialer Kontakte auf die psychische Gesundheit der Bevölkerung aufgekommen. Einsamkeit beschreibt eine wahrgenommene Qualität der eigenen Kontakte und Beziehungen zu anderen Menschen. Zahlreiche Studien haben einen Zusammenhang von Einsamkeit mit somatischen und psychischen Erkrankungen aufgezeigt. Ziel Auswertung der Häufigkeit von Einsamkeit und ihrer Beziehung zu Angst- und Depressionssymptomen in der ersten Welle der Pandemie im Mai 2020. Methoden Zwischen 2014 und 2019 hat die NAKO-Gesundheitsstudie 205.000 Personen im Alter zwischen 20 und 69 Jahren in 18 Studienzentren in Deutschland rekrutiert und untersucht. Die nachfolgende Zweituntersuchung musste aufgrund der Pandemie im Frühjahr 2020 unterbrochen werden. In dieser Zeit wurde ein COVID-19-bezogener Fragebogen entwickelt und an alle Teilnehmenden verschickt. Ausgewertet wurden die 113.928 Fragebögen, die innerhalb der ersten 30 Tage zurückgeschickt wurden. Einsamkeit wurde mit der 3‑Item UCLA Loneliness Scale, Angst und Depression mit den PHQ-9- und GAD-7-Skalen des Patient Health Questionnaire erhoben. Ergebnisse Im Mai 2020 nahmen sich 31,7 % der NAKO-Teilnehmenden als einsam wahr. Frauen und junge Menschen waren häufiger als Männer und ältere Personen betroffen. Mit steigender Wahrnehmung von Einsamkeit nahm der Schweregrad von Depressions- und Angstsymptomen stetig zu. Einsame Personen während der Pandemie hatten bereits zur NAKO-Basisuntersuchung mehr depressive und Angstsymptome angegeben als NAKO-Teilnehmende, die sich in der Pandemie nicht einsam fühlten. Schlussfolgerung In der NAKO-Gesundheitsstudie zeigte sich während der ersten Phase der Pandemie eine Zunahme von Einsamkeit und ihr deutlicher Zusammenhang mit schlechterer, psychischer Gesundheit.
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Affiliation(s)
- Klaus Berger
- Institut für Epidemiologie und Sozialmedizin, Universität Münster, Domagkstr. 3, 48149, Münster, Deutschland.
| | - Steffi Riedel-Heller
- Institut für Sozialmedizin, Arbeitsmedizin und Public Health (ISAP), Medizinische Fakultät, Universität Leipzig, Leipzig, Deutschland
| | - Alexander Pabst
- Institut für Sozialmedizin, Arbeitsmedizin und Public Health (ISAP), Medizinische Fakultät, Universität Leipzig, Leipzig, Deutschland
| | - Marcella Rietschel
- Abteilung Genetische Epidemiologie in der Psychiatrie, Zentralinstitut für seelische Gesundheit, Mannheim, Deutschland
| | - Dirk Richter
- Zentrum Psychiatrische Rehabilitation, Universitäre Psychiatrische Dienste Bern, Bern, Schweiz
- Universitätsklinik für Psychiatrie und Psychotherapie, Universität Bern, Bern, Schweiz
- Departement Gesundheit, Berner Fachhochschule, Bern, Schweiz
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Drewitz KP, Stark KJ, Zimmermann ME, Heid IM, Apfelbacher CJ. Frequency of hand eczema in the elderly: Cross-sectional findings from the German AugUR study. Contact Dermatitis 2021; 85:489-493. [PMID: 34161620 DOI: 10.1111/cod.13920] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Accepted: 06/09/2021] [Indexed: 01/09/2023]
Abstract
BACKGROUND Hand eczema (HE) is a chronic inflammatory skin disease caused by a genetic predisposition and environmental exposures. There is a lack of population-based studies on skin diseases in the elderly. OBJECTIVES Our aim was to estimate the frequency of HE in the elderly to determine its burden of disease in this particular population. METHODS We analyzed data from the research platform AugUR, a study on chronic diseases in the elderly (n = 1133, ages 70-95 years, mean age 77.6, 45.1% women). Raw frequencies were estimated using self-reports on physician-diagnosed HE from a standardized personal interview. Frequencies were standardized to the Bavarian population weighted by gender and 5-year age-groups. RESULTS In our sample 2.7% (95% confidence interval [CI] 1.6-4.3) of the paticipants reported to ever have been diagnosed with HE. Among those 57% were male. After standardization, the frequency was estimated at 2.8% (95% CI 1.9-3.9). There were no differences between male and female participants. CONCLUSIONS Compared to other studies on lifetime frequency of HE, our estimates seem to be remarkably lower. More in-depth studies with validated diagnoses are warranted to precisely estimate the burden of HE in the elderly.
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Affiliation(s)
- Karl Philipp Drewitz
- Institute of Social Medicine and Health Systems Research, University of Magdeburg, Magdeburg, Germany
| | - Klaus J Stark
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Martina E Zimmermann
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Iris M Heid
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Christian J Apfelbacher
- Institute of Social Medicine and Health Systems Research, University of Magdeburg, Magdeburg, Germany.,Family Medicine and Primary Care, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
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Rach S, Günther K, Hadeler B. Participants who were difficult to recruit at baseline are less likely to complete a follow-up questionnaire - results from the German National Cohort. BMC Med Res Methodol 2020; 20:187. [PMID: 32646374 PMCID: PMC7346423 DOI: 10.1186/s12874-020-01073-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Accepted: 07/01/2020] [Indexed: 12/23/2022] Open
Abstract
Background With declining response proportions in population-based research the importance of evaluating the effectiveness of measures aimed at improving response increases. We investigated whether an additional flyer with information about the study influences participation in a follow-up questionnaire and the time participants take to send back filled questionnaire. Methods In a trial embedded within the German National Cohort we compared responses to invitations for a follow-up questionnaire either including a flyer with information about the cohort study or not including it. Outcomes of interest were participation in the follow-up (yes vs. no) and time to response (in days). We analyzed paradata from baseline recruitment to account for differences in recruitment history between participants. Results Adding a flyer to invitations did neither influence the likelihood of participation in the follow-up (OR 0.94, 95% CI: 0.80, 1.11), nor the time it took participants to return completed questionnaires (β̂ = 1.71, 95% CI: − 1.01, 4.44). Subjects who, at baseline, needed to be reminded before eventually participating in examinations and subjects who scheduled three or more appointments until eventually completing baseline examinations were less likely to complete the follow-up questionnaire and, if they did, took more time to complete questionnaires. Conclusions Evaluating the effectiveness of measures aimed at increasing response can help to improve the allocation of usually limited resources. Characteristics of baseline recruitment can influence response to follow-up studies and therefore information about recruitment history (i.e., paradata) might prove useful to tailor follow-up recruitments to those who were difficult to recruit during baseline. To this end, however, it is necessary to routinely and meticulously collect paradata during recruitment.
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Affiliation(s)
- Stefan Rach
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstrasse 30, 28359, Bremen, Germany.
| | - Kathrin Günther
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstrasse 30, 28359, Bremen, Germany
| | - Birte Hadeler
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstrasse 30, 28359, Bremen, Germany
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Radon K, Saathoff E, Pritsch M, Guggenbühl Noller JM, Kroidl I, Olbrich L, Thiel V, Diefenbach M, Riess F, Forster F, Theis F, Wieser A, Hoelscher M. Protocol of a population-based prospective COVID-19 cohort study Munich, Germany (KoCo19). BMC Public Health 2020; 20:1036. [PMID: 32605549 PMCID: PMC7324773 DOI: 10.1186/s12889-020-09164-9] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Accepted: 06/23/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Due to the SARS-CoV-2 pandemic, public health interventions have been introduced globally in order to prevent the spread of the virus and avoid the overload of health care systems, especially for the most severely affected patients. Scientific studies to date have focused primarily on describing the clinical course of patients, identifying treatment options and developing vaccines. In Germany, as in many other regions, current tests for SARS-CoV2 are not conducted on a representative basis and in a longitudinal design. Furthermore, knowledge about the immune status of the population is lacking. Nonetheless, these data are needed to understand the dynamics of the pandemic and hence to appropriately design and evaluate interventions. For this purpose, we recently started a prospective population-based cohort in Munich, Germany, with the aim to develop a better understanding of the state and dynamics of the pandemic. METHODS In 100 out of 755 randomly selected constituencies, 3000 Munich households are identified via random route and offered enrollment into the study. All household members are asked to complete a baseline questionnaire and subjects ≥14 years of age are asked to provide a venous blood sample of ≤3 ml for the determination of SARS-CoV-2 IgG/IgA status. The residual plasma and the blood pellet are preserved for later genetic and molecular biological investigations. For twelve months, each household member is asked to keep a diary of daily symptoms, whereabouts and contacts via WebApp. If symptoms suggestive for COVID-19 are reported, family members, including children < 14 years, are offered a pharyngeal swab taken at the Division of Infectious Diseases and Tropical Medicine, LMU University Hospital Munich, for molecular testing for SARS-CoV-2. In case of severe symptoms, participants will be transferred to a Munich hospital. For one year, the study teams re-visits the households for blood sampling every six weeks. DISCUSSION With the planned study we will establish a reliable epidemiological tool to improve the understanding of the spread of SARS-CoV-2 and to better assess the effectiveness of public health measures as well as their socio-economic effects. This will support policy makers in managing the epidemic based on scientific evidence.
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Affiliation(s)
- Katja Radon
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Ludwig-Maximilians-Universität (LMU) University Hospital Munich, Ziemssenstr. 1, 80336 Munich, Germany
- Center for International Health, LMU University Hospital, Munich, Germany
| | - Elmar Saathoff
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital Munich, Germany, Leopoldstrasse 5, 80802 Munich, Germany
- German Center for Infection Research (DZIF), partner site Munich, Munich, Germany
| | - Michael Pritsch
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital Munich, Germany, Leopoldstrasse 5, 80802 Munich, Germany
| | | | - Inge Kroidl
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital Munich, Germany, Leopoldstrasse 5, 80802 Munich, Germany
- German Center for Infection Research (DZIF), partner site Munich, Munich, Germany
| | - Laura Olbrich
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital Munich, Germany, Leopoldstrasse 5, 80802 Munich, Germany
| | - Verena Thiel
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital Munich, Germany, Leopoldstrasse 5, 80802 Munich, Germany
| | - Max Diefenbach
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital Munich, Germany, Leopoldstrasse 5, 80802 Munich, Germany
| | - Friedrich Riess
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital Munich, Germany, Leopoldstrasse 5, 80802 Munich, Germany
| | - Felix Forster
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Ludwig-Maximilians-Universität (LMU) University Hospital Munich, Ziemssenstr. 1, 80336 Munich, Germany
| | - Fabian Theis
- Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany
- Departments of Mathematics and Life Sciences, Technical University of Munich, Munich, Germany
| | - Andreas Wieser
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital Munich, Germany, Leopoldstrasse 5, 80802 Munich, Germany
- Max von Pettenkofer Institute, Faculty of Medicine, LMU of Munich, Munich, Germany
| | - Michael Hoelscher
- Center for International Health, LMU University Hospital, Munich, Germany
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital Munich, Germany, Leopoldstrasse 5, 80802 Munich, Germany
- German Center for Infection Research (DZIF), partner site Munich, Munich, Germany
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35
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[Self-reported infections in the German National Cohort (GNC) in the context of the current research landscape]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2020; 63:404-414. [PMID: 32185449 DOI: 10.1007/s00103-020-03114-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
BACKGROUND Infectious diseases continue to play an important role for disease perception, health-economic considerations and public health in Germany. In recent years, infectious diseases have been linked to the development of non-communicable diseases. Analyses of the German National Cohort (GNC) may provide deeper insights into this issue and pave the way for new targeted approaches in disease prevention. OBJECTIVES The aim was to describe the tools used to assess infectious diseases and to present initial data on infectious disease frequencies, as well as to relate the GNC assessment tools to data collection methods in other studies in Germany. METHODS As part of the baseline examination, questions regarding infectious diseases were administered using both an interview and a self-administered touchscreen questionnaire. Data from the initial 101,787 GNC participants were analysed. RESULTS In the interview, 0.2% (HIV/AIDS) to 8.6% (shingles) of respondents reported ever having a medical diagnosis of shingles, postherpetic neuralgia (in cases where shingles was reported), hepatitis B/C, HIV/AIDS, tuberculosis or sepsis if treated in hospital. In the questionnaire, 12% (cystitis) to 81% (upper respiratory tract infections) of respondents reported having experienced at least one occurrence of upper or lower respiratory tract infections, gastrointestinal infections, cystitis or fever within the past 12 months. OUTLOOK The cross-sectional analyses of data and tools presented here - for example on determinants of susceptibility to self-reported infections - can be anticipated from the year 2021 onward. Beyond that, more extensive research into infectious disease epidemiology will follow, particularly once analyses of GNC biological materials have been performed.
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Ahrens W, Greiser KH, Linseisen J, Pischon T, Pigeot I. [The investigation of health outcomes in the German National Cohort: the most relevant endpoints and their assessment]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2020; 63:376-384. [PMID: 32157353 DOI: 10.1007/s00103-020-03111-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
The focus of the German National Cohort, the largest population-based cohort study in Germany to date, is the investigation of the most important widespread diseases, such as cardiovascular diseases, diabetes, cancer, neurological and psychiatric disorders, and frequent respiratory and infectious diseases. This cohort will answer questions on the development of these diseases and on the impact of genetic, environmental and lifestyle-related risk factors. Another focus is on the identification of early, subclinical markers of emerging diseases. To answer these questions, a comprehensive assessment of these health outcomes as well as of all potential determinants and precursors is mandatory.This paper describes the various health outcomes that are assessed in the German National Cohort, as well as the examination modules that are applied for deep phenotyping of study participants. Repeated collection of biosamples as well as functional measurements and application of modern imaging techniques at various time points allow for assessing the dynamics of physiological changes related to the individuals' health status. The prognostic value of these changes for disease development will be explored and translated to novel approaches for prevention and personalised medicine. Incident diseases are being assessed through self-reports by study participants and through record linkage with data from health insurances and cancer registries. Additional information about clinical diagnoses is obtained from the treating physicians to ensure the highest possible validity.
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Affiliation(s)
- Wolfgang Ahrens
- Leibniz-Institut für Präventionsforschung und Epidemiologie - BIPS, Achterstr. 30, 28359, Bremen, Deutschland. .,Fachbereich Mathematik und Informatik, Universität Bremen, Bremen, Deutschland.
| | - Karin H Greiser
- Abteilung Epidemiologie von Krebserkrankungen, Deutsches Krebsforschungszentrum Heidelberg, Heidelberg, Deutschland
| | - Jakob Linseisen
- Lehrstuhl für Epidemiologie am UNIKA-T, Ludwig-Maximilians-Universität München, Augsburg, Deutschland.,Klinische Epidemiologie, Helmholtz Zentrum München, Neuherberg, Deutschland
| | - Tobias Pischon
- Forschergruppe Molekulare Epidemiologie, Max-Delbrück-Centrum für Molekulare Medizin in der Helmholtz-Gemeinschaft (MDC), Berlin, Deutschland
| | - Iris Pigeot
- Leibniz-Institut für Präventionsforschung und Epidemiologie - BIPS, Achterstr. 30, 28359, Bremen, Deutschland.,Fachbereich Mathematik und Informatik, Universität Bremen, Bremen, Deutschland
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37
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Ahrens W, Pigeot I, Pischon T. Das Fundament ist gelegt – für verbesserte Vorbeugung und Früherkennung der großen Volkskrankheiten. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2020; 63:373-375. [DOI: 10.1007/s00103-020-03119-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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38
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Nimptsch K, Jaeschke L, Chang-Claude J, Kaaks R, Katzke V, Michels KB, Franzke CW, Obi N, Becher H, Kuß O, Schikowski T, Schulze MB, Gastell S, Hoffmann W, Schipf S, Ahrens W, Günther K, Krist L, Keil T, Jöckel KH, Schmidt B, Brenner H, Holleczek B, Fischer B, Leitzmann M, Lieb W, Berger K, Krause G, Löffler M, Schmidt-Pokrzywniak A, Mikolajczyk R, Linseisen J, Greiser KH, Pischon T. [Self-reported cancer in the German National Cohort (NAKO Gesundheitsstudie): assessment methods and first results]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2020; 63:385-396. [PMID: 32179962 DOI: 10.1007/s00103-020-03113-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
BACKGROUND In the German National Cohort (NAKO Gesundheitsstudie), the largest prospective cohort study in Germany, data on self-reported cancer diagnoses are now available for the first half of participants. OBJECTIVES Description of the methods to assess self-reported cancer diagnoses and type of cancer in the NAKO and presentation of first results. MATERIALS AND METHODS In a computer-assisted, standardized personal interview, 101,787 participants (54,526 women, 47,261 men) were asked whether they had ever been diagnosed with cancer (malignant tumors including in situ) by a physician and how many cancer diagnoses they had. The type of cancer was classified with a list. Absolute and relative frequencies of self-reported cancer diagnoses and types of cancer were calculated and compared with cancer registry data. RESULTS A physician-diagnosed cancer was reported by 9.4% of women and 7.0% of men. Of the participants who reported a cancer diagnosis, 88.3% reported to have had only one cancer diagnosis. In women, the most frequent malignancies were breast cancer, cervical cancer, and melanoma. In men, the most frequent malignancies were prostate cancer, melanoma, and colorectal cancer. Comparing the frequencies of cancer diagnoses reported by 45- to 74-year-old NAKO participants within the last five years to cancer registry-based 5‑year prevalences, most types of cancer were less frequent in the NAKO, with the exception of melanoma in men and women, cervical cancer and liver cancer in women, and bladder cancer and breast cancer in men. CONCLUSIONS The NAKO is a rich data basis for future investigations of incident cancer.
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Affiliation(s)
- Katharina Nimptsch
- Forschergruppe Molekulare Epidemiologie, Max-Delbrück-Centrum für Molekulare Medizin in der Helmholtz-Gemeinschaft (MDC), Robert-Rössle-Straße 10, 13125, Berlin, Deutschland.
| | - Lina Jaeschke
- Forschergruppe Molekulare Epidemiologie, Max-Delbrück-Centrum für Molekulare Medizin in der Helmholtz-Gemeinschaft (MDC), Robert-Rössle-Straße 10, 13125, Berlin, Deutschland
| | - Jenny Chang-Claude
- Abteilung Epidemiologie von Krebserkrankungen, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | - Rudolf Kaaks
- Abteilung Epidemiologie von Krebserkrankungen, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | - Verena Katzke
- Abteilung Epidemiologie von Krebserkrankungen, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | - Karin B Michels
- Institut für Prävention und Tumorepidemiologie, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland
| | - Claus-Werner Franzke
- Institut für Prävention und Tumorepidemiologie, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland
| | - Nadia Obi
- Institut für Medizinische Biometrie und Epidemiologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland
| | - Heiko Becher
- Institut für Medizinische Biometrie und Epidemiologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland
| | - Oliver Kuß
- Deutsches Diabetes-Zentrum (DDZ), Institut für Biometrie und Epidemiologie, Leibniz-Zentrum für Diabetes-Forschung an der Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Deutschland
| | - Tamara Schikowski
- Deutsches Diabetes-Zentrum (DDZ), Institut für Biometrie und Epidemiologie, Leibniz-Zentrum für Diabetes-Forschung an der Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Deutschland
| | - Matthias B Schulze
- Abteilung Molekulare Epidemiologie, Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke, Nuthetal, Deutschland.,Institut für Ernährungswissenschaft, Universität Potsdam, Nuthetal, Deutschland
| | - Sylvia Gastell
- NAKO-Studienzentrum Berlin-Süd/Brandenburg, Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke, Nuthetal, Deutschland
| | - Wolfgang Hoffmann
- Institut für Community Medicine, Universitätsmedizin Greifswald, Greifswald, Deutschland
| | - Sabine Schipf
- Institut für Community Medicine, Universitätsmedizin Greifswald, Greifswald, Deutschland
| | - Wolfgang Ahrens
- Leibniz-Institut für Präventionsforschung und Epidemiologie - BIPS, Bremen, Deutschland.,Institut für Statistik, Fachbereich Mathematik und Informatik, Universität Bremen, Bremen, Deutschland
| | - Kathrin Günther
- Leibniz-Institut für Präventionsforschung und Epidemiologie - BIPS, Bremen, Deutschland
| | - Lilian Krist
- Institut für Sozialmedizin, Epidemiologie und Gesundheitsökonomie, Charité - Universitätsmedizin Berlin, Berlin, Deutschland
| | - Thomas Keil
- Institut für Sozialmedizin, Epidemiologie und Gesundheitsökonomie, Charité - Universitätsmedizin Berlin, Berlin, Deutschland.,Institut für Klinische Epidemiologie und Biometrie, Universität Würzburg, Würzburg, Deutschland.,Landesinstitut für Gesundheit, Bayerisches Landesamt für Gesundheit und Lebensmittelsicherheit, Bad Kissingen, Deutschland
| | - Karl-Heinz Jöckel
- Universitätsklinikum Essen, Institut für Medizinische Informatik, Biometrie und Epidemiologie (IMIBE), Essen, Deutschland
| | - Börge Schmidt
- Universitätsklinikum Essen, Institut für Medizinische Informatik, Biometrie und Epidemiologie (IMIBE), Essen, Deutschland
| | - Hermann Brenner
- Abteilung Klinische Epidemiologie und Alternsforschung, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland.,Abteilung Präventive Onkologie, Deutsches Krebsforschungszentrum (DKFZ) und Nationales Centrum für Tumorerkrankungen (NCT), Heidelberg, Deutschland.,Deutsches Konsortium für Translationale Krebsforschung (DKTK), Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | - Bernd Holleczek
- Abteilung Klinische Epidemiologie und Alternsforschung, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland.,Krebsregister Saarland, Saarbrücken, Deutschland
| | - Beate Fischer
- Institut für Epidemiologie und Präventivmedizin, Universität Regensburg, Regensburg, Deutschland
| | - Michael Leitzmann
- Institut für Epidemiologie und Präventivmedizin, Universität Regensburg, Regensburg, Deutschland
| | - Wolfgang Lieb
- Institut für Epidemiologie, Christian-Albrechts-Universität zu Kiel, Kiel, Deutschland
| | - Klaus Berger
- Institut für Epidemiologie und Sozialmedizin, Westfälische Wilhelms-Universität Münster, Münster, Deutschland
| | - Gérard Krause
- Abteilung Epidemiologie, Helmholtz-Zentrum für Infektionsforschung (HZI), Braunschweig, Deutschland
| | - Markus Löffler
- Institut für Medizinische Informatik, Statistik und Epidemiologie (IMISE), Medizinische Fakultät, Universität Leipzig, Leipzig, Deutschland
| | - Andrea Schmidt-Pokrzywniak
- Institut für Medizinische Epidemiologie, Biometrie und Informatik, Martin-Luther-Universität Halle-Wittenberg, Halle (Saale), Deutschland
| | - Rafael Mikolajczyk
- Institut für Medizinische Epidemiologie, Biometrie und Informatik, Martin-Luther-Universität Halle-Wittenberg, Halle (Saale), Deutschland
| | - Jakob Linseisen
- Lehrstuhl für Epidemiologie, UNIKA-T, Ludwig-Maximilians-Universität (LMU) München, Augsburg, Deutschland.,Selbständige Forschungsgruppe Klinische Epidemiologie, Helmholtz Zentrum München, Neuherberg, Deutschland
| | - Karin Halina Greiser
- Abteilung Epidemiologie von Krebserkrankungen, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | - Tobias Pischon
- Forschergruppe Molekulare Epidemiologie, Max-Delbrück-Centrum für Molekulare Medizin in der Helmholtz-Gemeinschaft (MDC), Robert-Rössle-Straße 10, 13125, Berlin, Deutschland.,Charité - Universitätsmedizin Berlin, Berlin, Deutschland.,Partnerstandort Berlin, Deutsches Zentrum für Herz-Kreislauf-Forschung (DZHK), Berlin, Deutschland.,MDC/BIH Biobank, Max-Delbrück-Centrum für Molekulare Medizin in der Helmholtz-Gemeinschaft (MDC), Berlin, Deutschland
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[Blood pressure measurement in the NAKO German National Cohort (GNC) - differences in methods, distribution of blood pressure values, and awareness of hypertension compared to other population-based studies in Germany]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2020; 63:452-464. [PMID: 32170398 DOI: 10.1007/s00103-020-03109-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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40
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[Assessment of self-reported cardiovascular and metabolic diseases in the German National Cohort (GNC, NAKO Gesundheitsstudie): methods and initial results]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2020; 63:439-451. [PMID: 32157352 DOI: 10.1007/s00103-020-03108-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
BACKGROUND Data on self-reported cardiovascular and metabolic diseases are available for the first 100,000 participants of the population-based German National Cohort (GNC, NAKO Gesundheitsstudie). OBJECTIVES To describe assessment methods and the frequency of self-reported cardiovascular and metabolic diseases in the German National Cohort. MATERIALS AND METHODS Using a computer-based, standardized personal interview, 101,806 participants (20-75 years, 46% men) from 18 nationwide study centres were asked to use a predefined list to report medical conditions ever diagnosed by a physician, including cardiovascular or metabolic diseases. For the latter, we calculated sex-stratified relative frequencies and compared these with reference data. RESULTS With regard to cardiovascular diseases, 3.5% of men and 0.8% of women reported to have ever been diagnosed with a myocardial infarction, 4.8% and 1.5% with angina pectoris, 3.5% and 2.5% with heart failure, 10.1% and 10.4% with cardiac arrhythmia, 2.7% and 1.8% with claudicatio intermittens, and 34.6% and 27.0% with arterial hypertension. The frequencies of self-reported diagnosed metabolic diseases were 8.1% and 5.8% for diabetes mellitus, 28.6% and 24.5% for hyperlipidaemia, 7.9% and 2.4% for gout, and 10.1% and 34.3% for thyroid diseases. Observed disease frequencies were lower than reference data for Germany. CONCLUSIONS In the German National Cohort, self-reported cardiovascular and metabolic diseases diagnosed by a physician are assessed from all participants, therefore representing a data source for future cardio-metabolic research in this cohort.
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[Lung function in the German National Cohort: methods and initial results]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2020; 63:322-331. [PMID: 32078705 DOI: 10.1007/s00103-020-03102-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
BACKGROUND A nationwide assessment of the respiratory status on the basis of standardized lung function measurements has so far not been available in Germany. The present work describes the lung function tests in the German National Cohort (GNC) and presents initial results based on the GNC Midterm Baseline Dataset. MATERIAL AND METHODS The assessment of lung function in the GNC comprised spirometry (level 1) and the determination of exhaled nitric oxide (FeNO, level 2). Our quality assurance concept included regular training of lung function test procedures at various GNC sites, interim evaluations of test quality, as well as regular calibration/measurement checks of test equipment. For spirometry, we established a stepwise procedure for offline quality control based on raw flow volume curves. RESULTS In the present dataset (n = 101,734), spirometry was available for 86,893 study participants and FeNO was available for 15,228 participants. The average (±SD) FEV1 Z score (according to GLI 2012) was -0.321 ± 1.047, the FVC Z score was -0.153 ± 0.941, and the FEV1/FVC Z score was -0.337 ± 0.901. The difference in FEV1/FVC between current smokers and never-smokers increased with age. The average FeNO was 14.2 ÷ 2.0 ppb. Current smoking reduced FeNO levels by 43%, whereas respiratory allergy increased FeNO levels by 16% in nonsmokers. DISCUSSION The results of spirometry and the FeNO measurements are in the expected range with regard to their distributions and correlates. The GNC provides a valuable basis for future investigations of respiratory health and its determinants as well as research into the prevention of respiratory diseases in Germany.
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Fischer B, Sedlmeier AM, Hartwig S, Schlett CL, Ahrens W, Bamberg F, Baurecht H, Becher H, Berger K, Binder H, Bohn B, Carr PR, Castell S, Franzke CW, Fricke J, Gastell S, Greiser KH, Günther K, Jaeschke L, Kaaks R, Kemmling Y, Krist L, Kuß O, Legath N, Lieb W, Linseisen J, Löffler M, Michels KB, Mikolajczyk R, Niedermaier T, Norman K, Obi N, Peters A, Pischon T, Schikowski T, Schipf S, Schmidt B, Schulze MB, Stang A, Stojicic J, Tiller D, Völzke H, Waniek S, Leitzmann MF. [Anthropometric measures in the German National Cohort-more than weight and height]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2020; 63:290-300. [PMID: 32020361 DOI: 10.1007/s00103-020-03096-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
High levels of adiposity in the population have a major impact on various diseases, but previous epidemiologic studies have largely been restricted to simple anthropometric measures such as the body mass index (BMI), an imperfect predictor of disease risk. There is a critical need for the use of improved measures of relative weight and body composition in large-scale, population-based research.The current article presents initial descriptive results of body composition and fat distribution based on the midterm baseline dataset of the German National Cohort, which included 101,817 participants who were examined in 18 study centers in Germany between March 2014 and March 2017. The anthropometric measures encompassed body weight, height, waist and hip circumference, bioelectrical impedance analysis (BIA), sonography of abdominal adipose tissue, 3D-body scanning, and magnetic resonance imaging.BMI analyses showed that 46.2% of men and 29.7% of women were overweight and 23.5% of men and 21.2% of women were obese. On average, women in almost all age groups demonstrated more subcutaneous adipose tissue layer thickness than men. The mean values of visceral adipose tissue layer thickness, on the other hand, were higher among men than among women in all age groups and increased continuously across age groups in both sexes.The comprehensive assessment of body composition and fat distribution provides novel future opportunities for detailed epidemiologic analyses of overweight and adiposity in relation to the development of chronic diseases.
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Affiliation(s)
- Beate Fischer
- Institut für Epidemiologie und Präventivmedizin, Universität Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Deutschland.
| | - Anja M Sedlmeier
- Institut für Epidemiologie und Präventivmedizin, Universität Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Deutschland
| | - Saskia Hartwig
- Institut für Medizinische Epidemiologie, Biometrie und Informatik, Martin-Luther-Universität Halle-Wittenberg, Halle (Saale), Deutschland
| | - Christopher L Schlett
- Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland
| | - Wolfgang Ahrens
- Leibniz Institut für Präventionsforschung und Epidemiologie, BIPS, Bremen, Deutschland
- Institut für Statistik, Fachbereich Mathematik und Informatik, Universität Bremen, Bremen, Deutschland
| | - Fabian Bamberg
- Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland
| | - Hansjörg Baurecht
- Institut für Epidemiologie und Präventivmedizin, Universität Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Deutschland
| | - Heiko Becher
- Institut für Medizinische Biometrie und Epidemiologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland
| | - Klaus Berger
- Institut für Epidemiologie und Sozialmedizin, Universität Münster, Münster, Deutschland
| | - Hans Binder
- Interdisziplinäres Zentrum für Bioinformatik (IZBI), Universität Leipzig, Leipzig, Deutschland
| | | | - Prudence R Carr
- Abteilung Klinische Epidemiologie und Alternsforschung, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | - Stefanie Castell
- Abteilung Epidemiologie, Helmholtz Zentrum für Infektionsforschung (HZI), Braunschweig, Deutschland
| | - Claus-Werner Franzke
- Institut für Prävention und Tumorepidemiologie, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland
| | - Julia Fricke
- Institut für Sozialmedizin, Epidemiologie und Gesundheitsökonomie, Charité - Universitätsmedizin Berlin, Berlin, Deutschland
| | - Sylvia Gastell
- NAKO Studienzentrum, Deutsches Institut für Ernährungsforschung (DIfE), Nuthetal, Deutschland
| | - Karin Halina Greiser
- Abteilung Epidemiologie von Krebserkrankungen, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | - Kathrin Günther
- Leibniz Institut für Präventionsforschung und Epidemiologie, BIPS, Bremen, Deutschland
| | - Lina Jaeschke
- Forschergruppe Molekulare Epidemiologie, Max-Delbrück-Centrum für Molekulare Medizin in der Helmholtz-Gemeinschaft (MDC), Berlin, Deutschland
| | - Rudolf Kaaks
- Abteilung Epidemiologie von Krebserkrankungen, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | - Yvonne Kemmling
- Abteilung Epidemiologie, Helmholtz Zentrum für Infektionsforschung (HZI), Braunschweig, Deutschland
| | - Lilian Krist
- Institut für Sozialmedizin, Epidemiologie und Gesundheitsökonomie, Charité - Universitätsmedizin Berlin, Berlin, Deutschland
| | - Oliver Kuß
- Institut für Biometrie und Epidemiologie, Deutsches Diabetes-Zentrum (DDZ), Leibniz-Zentrum für Diabetes-Forschung, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Deutschland
| | - Nicole Legath
- Institut für Epidemiologie und Sozialmedizin, Universität Münster, Münster, Deutschland
| | - Wolfgang Lieb
- Institut für Epidemiologie, Christian-Albrechts-Universität zu Kiel, Kiel, Deutschland
| | - Jakob Linseisen
- Lehrstuhl für Epidemiologie, UNIKA-T Augsburg, LMU München, Augsburg, Deutschland
- SFG Klinische Epidemiologie, Helmholtz Zentrum München, Neuherberg, Deutschland
| | - Markus Löffler
- Institut für Medizinische Informatik, Statistik und Epidemiologie (IMISE), Universität Leipzig, Leipzig, Deutschland
| | - Karin B Michels
- Institut für Prävention und Tumorepidemiologie, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland
| | - Rafael Mikolajczyk
- Institut für Medizinische Epidemiologie, Biometrie und Informatik, Martin-Luther-Universität Halle-Wittenberg, Halle (Saale), Deutschland
| | - Tobias Niedermaier
- Abteilung Klinische Epidemiologie und Alternsforschung, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | - Kristina Norman
- AG Ernährung und Körperzusammensetzung, Forschungsgruppe Geriatrie, Charité - Universitätsmedizin, Berlin, Deutschland
- Abteilung Ernährung und Gerontologie, Deutsches Institut für Ernährungsforschung (DIfE), Nuthetal, Deutschland
| | - Nadia Obi
- Institut für Medizinische Biometrie und Epidemiologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland
| | - Annette Peters
- Institut für Epidemiologie, Helmholtz Zentrum München, Neuherberg, Deutschland
| | - Tobias Pischon
- Forschergruppe Molekulare Epidemiologie, Max-Delbrück-Centrum für Molekulare Medizin in der Helmholtz-Gemeinschaft (MDC), Berlin, Deutschland
- Charité - Universitätsmedizin Berlin, Berlin, Deutschland
- Partnerstandort Berlin, Deutsches Zentrum für Herz-Kreislauf-Forschung (DZHK), Berlin, Deutschland
- MDC/BIH Biobank, Max-Delbrück-Centrum für Molekulare Medizin in der Helmholtz-Gemeinschaft (MDC) und Berlin Institute of Health (BIH), Berlin, Deutschland
| | - Tamara Schikowski
- IUF - Leibniz Institut für umweltmedizinische Forschung, Düsseldorf, Deutschland
| | - Sabine Schipf
- Institut für Community Medicine, Universitätsmedizin Greifswald, Greifswald, Deutschland
| | - Börge Schmidt
- Institut für Medizinische Informatik, Biometrie und Epidemiologie (IMIBE), Universitätsklinikum Essen, Essen, Deutschland
| | - Matthias B Schulze
- Abteilung Molekulare Epidemiologie, Deutsches Institut für Ernährungsforschung (DIfE), Nuthetal, Deutschland
| | - Andreas Stang
- Institut für Medizinische Informatik, Biometrie und Epidemiologie (IMIBE), Universitätsklinikum Essen, Essen, Deutschland
| | - Jelena Stojicic
- Institut für Epidemiologie, Helmholtz Zentrum München, Neuherberg, Deutschland
| | - Daniel Tiller
- Institut für Medizinische Epidemiologie, Biometrie und Informatik, Martin-Luther-Universität Halle-Wittenberg, Halle (Saale), Deutschland
| | - Henry Völzke
- Institut für Community Medicine, Universitätsmedizin Greifswald, Greifswald, Deutschland
| | - Sabina Waniek
- Institut für Epidemiologie, Christian-Albrechts-Universität zu Kiel, Kiel, Deutschland
| | - Michael F Leitzmann
- Institut für Epidemiologie und Präventivmedizin, Universität Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Deutschland
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