1
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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2
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Weber A, van Hees VT, Stein MJ, Gastell S, Steindorf K, Herbolsheimer F, Ostrzinski S, Pischon T, Brandes M, Krist L, Marschollek M, Greiser KH, Nimptsch K, Brandes B, Jochem C, Sedlmeier AM, Berger K, Brenner H, Buck C, Castell S, Dörr M, Emmel C, Fischer B, Flexeder C, Harth V, Hebestreit A, Heise JK, Holleczek B, Keil T, Koch-Gallenkamp L, Lieb W, Meinke-Franze C, Michels KB, Mikolajczyk R, Kluttig A, Obi N, Peters A, Schmidt B, Schipf S, Schulze MB, Teismann H, Waniek S, Willich SN, Leitzmann MF, Baurecht H. Large-scale assessment of physical activity in a population using high-resolution hip-worn accelerometry: the German National Cohort (NAKO). Sci Rep 2024; 14:7927. [PMID: 38575636 PMCID: PMC10995156 DOI: 10.1038/s41598-024-58461-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 03/29/2024] [Indexed: 04/06/2024] Open
Abstract
Large population-based cohort studies utilizing device-based measures of physical activity are crucial to close important research gaps regarding the potential protective effects of physical activity on chronic diseases. The present study details the quality control processes and the derivation of physical activity metrics from 100 Hz accelerometer data collected in the German National Cohort (NAKO). During the 2014 to 2019 baseline assessment, a subsample of NAKO participants wore a triaxial ActiGraph accelerometer on their right hip for seven consecutive days. Auto-calibration, signal feature calculations including Euclidean Norm Minus One (ENMO) and Mean Amplitude Deviation (MAD), identification of non-wear time, and imputation, were conducted using the R package GGIR version 2.10-3. A total of 73,334 participants contributed data for accelerometry analysis, of whom 63,236 provided valid data. The average ENMO was 11.7 ± 3.7 mg (milli gravitational acceleration) and the average MAD was 19.9 ± 6.1 mg. Notably, acceleration summary metrics were higher in men than women and diminished with increasing age. Work generated in the present study will facilitate harmonized analysis, reproducibility, and utilization of NAKO accelerometry data. The NAKO accelerometry dataset represents a valuable asset for physical activity research and will be accessible through a specified application process.
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Affiliation(s)
- Andrea Weber
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany.
| | | | - Michael J Stein
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| | - Sylvia Gastell
- NAKO Study Center, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Karen Steindorf
- Division of Physical Activity, Prevention and Cancer, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
| | - Florian Herbolsheimer
- Division of Physical Activity, Prevention and Cancer, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
| | - Stefan Ostrzinski
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Tobias Pischon
- Molecular Epidemiology Research Group, Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Mirko Brandes
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Lilian Krist
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10098, Berlin, Germany
| | - Michael Marschollek
- Hannover Medical School, Peter L. Reichertz Institute for Medical Informatics, Carl-Neuberg-Strasse 1, 30625, Hannover, Germany
| | - Karin Halina Greiser
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
| | - Katharina Nimptsch
- Molecular Epidemiology Research Group, Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Berit Brandes
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Carmen Jochem
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| | - Anja M Sedlmeier
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Christoph Buck
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Stefanie Castell
- Department for Epidemiology, Helmholtz Centre for Infection Research (HZI), Brunswick, Germany
| | - Marcus Dörr
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
| | - Carina Emmel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Beate Fischer
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| | - Claudia Flexeder
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Volker Harth
- Institute for Occupational and Maritime Medicine Hamburg (ZfAM), University Medical Center Hamburg-Eppendorf (UKE), Seewartenstraße 10, 20459, Hamburg, Germany
| | - Antje Hebestreit
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Jana-Kristin Heise
- Department for Epidemiology, Helmholtz Centre for Infection Research (HZI), Brunswick, Germany
| | | | - Thomas Keil
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10098, 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
| | - Lena Koch-Gallenkamp
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, 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 for Medical Epidemiology, Biometrics, and Informatics, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Alexander Kluttig
- Institute for Medical Epidemiology, Biometrics, and Informatics, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Nadia Obi
- Institute for Occupational and Maritime Medicine Hamburg (ZfAM), University Medical Center Hamburg-Eppendorf (UKE), Seewartenstraße 10, 20459, Hamburg, 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, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Sabine Schipf
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, 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
| | - Henning Teismann
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Sabina Waniek
- Institute of Epidemiology, Kiel University, Kiel, Germany
| | - Stefan N Willich
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10098, Berlin, Germany
| | - Michael F Leitzmann
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| | - Hansjörg Baurecht
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
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3
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Wiessner C, Licaj S, Klein J, Bohn B, Brand T, Castell S, Führer A, Harth V, Heier M, Heise JK, Holleczek B, Jaskulski S, Jochem C, Koch-Gallenkamp L, Krist L, Leitzmann M, Lieb W, Meinke-Franze C, Mikolajczyk R, Moreno Velásquez I, Obi N, Pischon T, Schipf S, Thierry S, Willich SN, Zeeb H, Becher H. Health Service Use Among Migrants in the German National Cohort-The Role of Birth Region and Language Skills. Int J Public Health 2024; 69:1606377. [PMID: 38510525 PMCID: PMC10952844 DOI: 10.3389/ijph.2024.1606377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 02/14/2024] [Indexed: 03/22/2024] Open
Abstract
Objective: To compare health service use (HSU) between migrants and non-migrants in Germany. Methods: Using data from the population-based German National Cohort (NAKO), we compared the HSU of general practitioners, medical specialists, and psychologists/psychiatrists between six migrant groups of different origins with the utilization of non-migrants. A latent profile analysis (LPA) with a subsequent multinomial regression analysis was conducted to characterize the HSU of different groups. Additionally, separate regression models were calculated. Both analyses aimed to estimate the direct effect of migration background on HSU. Results: In the LPA, the migrant groups showed no relevant differences compared to non-migrants regarding HSU. In separate analyses, general practitioners and medical specialists were used comparably to slightly more often by first-generation migrants from Eastern Europe, Turkey, and resettlers. In contrast, the use of psychologists/psychiatrists was substantially lower among those groups. Second-generation migrants and migrants from Western countries showed no differences in their HSU compared to non-migrants. Conclusion: We observed a low mental HSU among specific migrant groups in Germany. This indicates the existence of barriers among those groups that need to be addressed.
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Affiliation(s)
- Christian Wiessner
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Sara Licaj
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Klein
- Institute of Medical Sociology, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | | | - Tilman Brand
- Leibniz Institute for Prevention Research and Epidemiology—BIPS, Bremen, Germany
| | - Stefanie Castell
- Department of Epidemiology, Helmholtz Center for Infection Research, Brunswick, Germany
| | - Amand Führer
- Institute of Medical Epidemiology, Biostatistics, and Informatics, Interdisciplinary Center for Health Sciences, Medical School of the Martin Luther University Halle-Wittenberg, Halle, Germany
| | - Volker Harth
- Institute for Occupational and Maritime Medicine Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Margit Heier
- Institute of Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- KORA Study Centre, University Hospital Augsburg, Augsburg, Germany
| | - Jana-Kristin Heise
- Department of Epidemiology, Helmholtz Center for Infection Research, Brunswick, Germany
| | | | - Stefanie Jaskulski
- Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Carmen Jochem
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Lena Koch-Gallenkamp
- Department of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Lilian Krist
- Institute of Social Medicine, Epidemiology and Health Economics, Charité University Medicine Berlin, Berlin, Germany
| | - Michael Leitzmann
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology, Faculty of Medicine, University of Kiel, Kiel, Germany
| | - Claudia Meinke-Franze
- Institute for Community Medicine, University Medical Center Greifswald, Greifswald, Germany
| | - Rafael Mikolajczyk
- Institute of Medical Epidemiology, Biostatistics, and Informatics, Interdisciplinary Center for Health Sciences, Medical School of the Martin Luther University Halle-Wittenberg, Halle, Germany
| | - Ilais Moreno Velásquez
- Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany
| | - Nadia Obi
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Institute for Occupational and Maritime Medicine Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, 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
- Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Sabine Schipf
- Institute for Community Medicine, University Medical Center Greifswald, Greifswald, Germany
| | - Sigrid Thierry
- Institute of Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Augsburg University Hospital, Augsburg, Germany
| | - Stefan N. Willich
- Institute of Social Medicine, Epidemiology and Health Economics, Charité University Medicine Berlin, Berlin, Germany
| | - Hajo Zeeb
- Leibniz Institute for Prevention Research and Epidemiology—BIPS, Bremen, Germany
| | - Heiko Becher
- Heidelberg Institute of Global Health, Heidelberg University Hospital, Heidelberg, Germany
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4
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Herbolsheimer F, Peters A, Wagner S, Willich SN, Krist L, Pischon T, Nimptsch K, Gastell S, Brandes M, Brandes B, Schikowski T, Schmidt B, Michels KB, Mikolajczyk R, Harth V, Obi N, Castell S, Heise JK, Lieb W, Franzpötter K, Karch A, Teismann H, Völzke H, Meinke-Franze C, Leitzmann M, Stein MJ, Brenner H, Holleczek B, Weber A, Bohn B, Kluttig A, Steindorf K. Changes in physical activity and sedentary behavior during the first COVID-19 pandemic- restrictions in Germany: a nationwide survey : Running head: physical activity during the COVID-19 restrictions. BMC Public Health 2024; 24:433. [PMID: 38347566 PMCID: PMC10860251 DOI: 10.1186/s12889-024-17675-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 01/04/2024] [Indexed: 02/15/2024] Open
Abstract
BACKGROUND The COVID-19 pandemic restrictions posed challenges to maintaining healthy lifestyles and physical well-being. During the first mobility restrictions from March to mid-July 2020, the German population was advised to stay home, except for work, exercise, and essential shopping. Our objective was to comprehensively assess the impact of these restrictions on changes in physical activity and sedentary behavior to identify the most affected groups. METHODS Between April 30, 2020, and May 12, 2020, we distributed a COVID-19-specific questionnaire to participants of the German National Cohort (NAKO). This questionnaire gathered information about participants' physical activity and sedentary behavior currently compared to the time before the restrictions. We integrated this new data with existing information on anxiety, depressive symptoms, and physical activity. The analyses focused on sociodemographic factors, social relationships, physical health, and working conditions. RESULTS Out of 152,421 respondents, a significant proportion reported altered physical activity and sedentary behavioral patterns due to COVID-19 restrictions. Over a third of the participants initially meeting the WHO's physical activity recommendation could no longer meet the guidelines during the restrictions. Participants reported substantial declines in sports activities (mean change (M) = -0.38; 95% CI: -.390; -.378; range from -2 to + 2) and reduced active transportation (M = -0.12; 95% CI: -.126; -.117). However, they also increased recreational physical activities (M = 0.12; 95% CI: .117; .126) while engaging in more sedentary behavior (M = 0.24; 95% CI: .240; .247) compared to pre-restriction levels. Multivariable linear and log-binomial regression models indicated that younger adults were more affected by the restrictions than older adults. The shift to remote work, self-rated health, and depressive symptoms were the factors most strongly associated with changes in all physical activity domains, including sedentary behavior, and the likelihood to continue following the physical activity guidelines. CONCLUSIONS Mobility patterns shifted towards inactivity or low-intensity activities during the nationwide restrictions in the spring of 2020, potentially leading to considerable and lasting health risks.
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Affiliation(s)
- Florian Herbolsheimer
- Division of Physical Activity, Prevention and Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany.
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Sarah Wagner
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Stefan N Willich
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Lilian Krist
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Tobias Pischon
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Katharina Nimptsch
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Sylvia Gastell
- German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany
| | - Mirko Brandes
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Berit Brandes
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Tamara Schikowski
- IUF - Leibniz Research Institute for Environmental Medicine, Duesseldorf, Germany
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, Essen University Hospital, Essen, Germany
| | - Karin B Michels
- Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Rafael Mikolajczyk
- Institute for Medical Epidemiology, Biometrics, and Informatics, Interdisciplinary Center for Health Sciences , Medical Faculty of the Martin-Luther University Halle-Wittenberg, Halle, Germany
| | - Volker Harth
- Institute for Occupational and Maritime Medicine Hamburg (ZfAM), University Medical Centre Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Nadia Obi
- Institute for Occupational and Maritime Medicine Hamburg (ZfAM), University Medical Centre Hamburg-Eppendorf (UKE), Hamburg, Germany
| | | | - Jana K Heise
- Helmholtz Centre for Infection Research, Brunswick, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology, University of Kiel, Kiel, Germany
| | | | - André Karch
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Henning Teismann
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Claudia Meinke-Franze
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | | | | | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | | | | | - Alexander Kluttig
- Institute for Medical Epidemiology, Biometrics, and Informatics, Interdisciplinary Center for Health Sciences , Medical Faculty of the Martin-Luther University Halle-Wittenberg, Halle, Germany
| | - Karen Steindorf
- Division of Physical Activity, Prevention and Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
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Klinger-König J, Erhardt A, Streit F, Völker MP, Schulze MB, Keil T, Fricke J, Castell S, Klett-Tammen CJ, Pischon T, Karch A, Teismann H, Michels KB, Greiser KH, Becher H, Karrasch S, Ahrens W, Meinke-Franze C, Schipf S, Mikolajczyk R, Führer A, Brandes B, Schmidt B, Emmel C, Leitzmann M, Konzok J, Peters A, Obi N, Brenner H, Holleczek B, Moreno Velásquez I, Deckert J, Baune BT, Rietschel M, Berger K, Grabe HJ. Childhood Trauma and Somatic and Mental Illness in Adulthood. Dtsch Arztebl Int 2024; 121:1-8. [PMID: 37876295 PMCID: PMC10916765 DOI: 10.3238/arztebl.m2023.0225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 10/10/2023] [Accepted: 10/10/2023] [Indexed: 10/26/2023]
Abstract
BACKGROUND Childhood trauma is associated with somatic and mental illness in adulthood. The strength of the association varies as a function of age, sex, and type of trauma. Pertinent studies to date have mainly focused on individual diseases. In this study, we investigate the association between childhood trauma and a multiplicity of somatic and mental illnesses in adulthood. METHODS Data from 156 807 NAKO Health Study participants were analyzed by means of logistic regressions, with adjustment for age, sex, years of education, and study site. The Childhood Trauma Screener differentiated between no/minor (n = 115 891) and moderate/severe childhood trauma (n = 40 916). The outcome variables were medical diagnoses of five somatic and two mental health conditions as stated in the clinical history. RESULTS Persons with childhood trauma were more likely to bear a diagnosis of all of the studied conditions: cancer (odds ratio [OR] = 1.10; 95% confidence interval: [1.05; 1.15]), myocardial infarction (OR = 1.13 [1.03; 1.24]), diabetes (OR = 1.16, [1.10; 1.23]), stroke (OR = 1.35 [1.23; 1.48]), chronic obstructive pulmonary disease (OR = 1.45 [1.38; 1.52]), depression (OR = 2.36 [2.29; 2.43]), and anxiety disorders (OR = 2.08 [2.00; 2.17]). All of these associations were stronger in younger persons, regardless of the nature of childhood trauma. Differences between the sexes were observed only for some of these associations. CONCLUSION Childhood trauma was associated with a higher probability of developing mental as well as somatic illness in adulthood. As childhood trauma is an element of individual history that the victim has little to no control over, and because the illnesses that can arise in adulthood in association with it are a heavy burden on the affected persons and on society, there is a need for research on these associations and for the development of preventive measures.
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Affiliation(s)
- Johanna Klinger-König
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Angelika Erhardt
- Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Würzburg, Würzburg, Germany
- Max Planck Institute of Psychiatry, Munich, Germany
| | - 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
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke (DIfE), Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, 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 State Office for Health and Food Safety, Erlangen, Germany
| | - Julia Fricke
- Institute of Social Medicine, Epidemiology and Health Economics, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Stefanie Castell
- Department of Epidemiology, Helmholtz Center for Infection Research (HZI), Braunschweig, Germany
| | - Carolina J. Klett-Tammen
- Department of Epidemiology, Helmholtz Center for Infection Research (HZI), Braunschweig, Germany
| | - Tobias Pischon
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Biobank Technology Platform, Berlin, Germany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - André Karch
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Henning Teismann
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Karin B. Michels
- Institute for Prevention and Tumor Epidemiology, Medical Center—University of Freiburg, Medical Faculty, Albert Ludwigs University of Freiburg, Freiburg, Germany
| | - K. Halina Greiser
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Heiko Becher
- Heidelberg Institute of Global Health (HIGH), Heidelberg University Hospital, Heidelberg, Germany
| | - Stefan Karrasch
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, LMU University Hospital, LMU Munich; Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
| | - Claudia Meinke-Franze
- Institute of Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Sabine Schipf
- Institute of Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Rafael Mikolajczyk
- IInstitute of Medical Epidemiology, Biometry and Informatics, Profile Center Health Sciences, Medical School, Martin Luther University Halle-Wittenberg, Halle, Germany
- German Center for Mental Health (DZPG), Jena-Magdeburg-Halle Site, Halle, Germany
- Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Jena-Magdeburg-Halle, Halle, Germany
| | - Amand Führer
- IInstitute of Medical Epidemiology, Biometry and Informatics, Profile Center Health Sciences, Medical School, Martin Luther University Halle-Wittenberg, Halle, Germany
| | - Berit Brandes
- Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
| | - Börge Schmidt
- Institute of Medical Informatics, Biometry and Epidemiology (IMIBE), University Medicine Essen, Essen, Germany
| | - Carina Emmel
- Institute of Medical Informatics, Biometry and Epidemiology (IMIBE), University Medicine Essen, Essen, Germany
| | - Michael Leitzmann
- Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Julian Konzok
- Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Anette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry, and Epidemiology, Medical Faculty, LMU—Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Mental Health (DZPG), Munich site, Munich, Germany
| | - Nadia Obi
- Central Institute for Occupational Medicine and Maritime Medicine (ZfAM,) University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hermann Brenner
- Division of Preventive Oncology, German Cancer Research Center (DKFZ), Saarbrücken, Germany
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Saarbrücken, Germany
| | | | - Ilais Moreno Velásquez
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany
| | - Jürgen Deckert
- Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Würzburg, Würzburg, Germany
| | - Bernhard T. Baune
- Department of Psychiatry, University Hospital Münster, Münster, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Greifswald, Germany
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6
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Hassenstein MJ, Pischon T, Karch A, Peters A, Kerrinnes T, Teismann H, Schneider A, Thierry S, Moreno Velásquez I, Janke J, Kemmling Y, Castell S. Seropositivity of Borrelia burgdorferi s.l. in Germany-an analysis across four German National Cohort (NAKO) study sites. Sci Rep 2023; 13:21087. [PMID: 38036551 PMCID: PMC10689756 DOI: 10.1038/s41598-023-47766-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 11/17/2023] [Indexed: 12/02/2023] Open
Abstract
Lyme borreliosis (LB) is caused by the transmission of Borrelia burgdorferi s.l. from ticks to humans. Climate affects tick abundance, and climate change is projected to promote shifts in abundance in Europe, potentially increasing human exposure. We analyzed serum samples collected between the years 2014-2019 from German National Cohort (NAKO) participants at four study sites (Augsburg, Berlin, Hanover, Münster) for immunoglobulin G (IgG) and immunoglobulin M (IgM) antibodies using an enzyme-linked immunosorbent assay (ELISA) and line blot immunoassay as confirmatory test for positive and equivocal ELISA samples. We reported crude and weighted seropositivity proportions for local estimates. We used mixed model analysis to investigate associated factors, such as age, sex, migration background, or animal contacts. We determined the serostatus of 14,207 participants. The weighted seropositivity proportions were 3.4% (IgG) and 0.4% (IgM) in Augsburg, 4.1% (IgG) and 0.6% (IgM) in northern Berlin, 3.0% (IgG) and 0.9% (IgM) in Hanover, and 2.7% (IgG) and 0.6% (IgM) in Münster. We found higher odds for IgG seropositivity with advancing age (p < 0.001), among males compared to females (p < 0.001) and reduced odds among participants with migration background compared to those without (p = 0.001). We did not find evidence for an association between serostatus and depression, children within the household, or animal contact, respectively. We found low seropositivity proportions and indications of differences across the study locations, although between-group comparisons did not yield significant results. Comparisons to earlier research are subject to important limitations; however, our results indicate no major increases in seropositivity over time. Nevertheless, monitoring of seropositivity remains critical in light of potential climate-related Borrelia exposure.
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Affiliation(s)
- Max J Hassenstein
- Department for Epidemiology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
- PhD Programme "Epidemiology", Braunschweig-Hannover, 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
| | - André Karch
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, 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
| | - Tobias Kerrinnes
- Department of RNA-Biology of Bacterial Infections, Helmholtz Institute for RNA-Based Infection Research, Würzburg, Germany
| | - Henning Teismann
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Alexandra Schneider
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Sigrid Thierry
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- NAKO Studienzentrum, Klinik für Diagnostische und Interventionelle Radiologie und Neuroradiologie, Universitätsklinikum Augsburg, Augsburg, Germany
| | - Ilais Moreno Velásquez
- Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany
| | - Jürgen Janke
- 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
| | - Yvonne Kemmling
- Department for Epidemiology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
| | - Stefanie Castell
- Department for Epidemiology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany.
- TWINCORE, Centre for Experimental and Clinical Infection Research, a Joint Venture of the Hannover Medical School and Helmholtz Centre for Infection Research, 30625, Hannover, Germany.
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7
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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8
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Häring J, Michel T, Becker M, Junker D, Tchitchagua T, Leschnik O, Lange B, Castell S, Krause G, Strengert M, Dulovic A, Schneiderhan-Marra N. Simultaneous Detection of Different Antibody Classes in a Multiplexed Serological Test. J Vis Exp 2023. [PMID: 37522730 DOI: 10.3791/65323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/01/2023] Open
Abstract
To monitor the progression of infectious diseases, it is useful to assess immunoreactivity against various antigenic determinants, and measure different antibody isotypes because they appear at different stages of the host immune response. With Lyme borreliosis, the pathogenic agent can be one of the multiple members of the Borrelia species. Therefore, correct sample classification requires evaluating the immunoreactivity against different antigens of different Borrelia species. Additionally, anti-pathogen IgG and IgM responses can have different elicitation time courses during disease progression. Here we demonstrate the development of a two-reporter multiplex immunoassay that has utility in identifying Borrelia-specific immune response in human serum samples by simultaneously evaluating both IgG and IgM immunoreactivity against different bacterial antigens in the same reaction well. This dual-reporter approach retains the analytical performance of single-reporter methods while conserving time and resources and reducing sample size requirements. This assay allows essentially double the serological information to be generated from a blood sample in half the time.
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Affiliation(s)
- Julia Häring
- NMI Natural and Medical Sciences Institute, University of Tübingen
| | - Tanja Michel
- NMI Natural and Medical Sciences Institute, University of Tübingen
| | - Matthias Becker
- NMI Natural and Medical Sciences Institute, University of Tübingen
| | - Daniel Junker
- NMI Natural and Medical Sciences Institute, University of Tübingen
| | | | - Olaf Leschnik
- Department of Neurology, Sächsisches Krankenhaus Rodewisch
| | - Berit Lange
- Department of Epidemiology, Helmholtz Centre for Infection Research; German Centre for Infection Research (DZIF)
| | - Stefanie Castell
- Department of Epidemiology, Helmholtz Centre for Infection Research; German Centre for Infection Research (DZIF)
| | - Gérard Krause
- Department of Epidemiology, Helmholtz Centre for Infection Research; German Centre for Infection Research (DZIF)
| | - Monika Strengert
- Department of Epidemiology, Helmholtz Centre for Infection Research
| | - Alex Dulovic
- NMI Natural and Medical Sciences Institute, University of Tübingen
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9
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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). Front Epidemiol 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] [What about the content of this article? (0)] [Affiliation(s)] [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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Lotto Batista M, Rees EM, Gómez A, López S, Castell S, Kucharski AJ, Ghozzi S, Müller GV, Lowe R. Towards a leptospirosis early warning system in northeastern Argentina. J R Soc Interface 2023; 20:20230069. [PMID: 37194269 DOI: 10.1098/rsif.2023.0069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/18/2023] Open
Abstract
Leptospirosis is a zoonotic disease with a high burden in Latin America, including northeastern Argentina, where flooding events linked to El Niño are associated with leptospirosis outbreaks. The aim of this study was to evaluate the value of using hydrometeorological indicators to predict leptospirosis outbreaks in this region. We quantified the effects of El Niño, precipitation, and river height on leptospirosis risk in Santa Fe and Entre Ríos provinces between 2009 and 2020, using a Bayesian modelling framework. Based on several goodness of fit statistics, we selected candidate models using a long-lead El Niño 3.4 index and shorter lead local climate variables. We then tested predictive performance to detect leptospirosis outbreaks using a two-stage early warning approach. Three-month lagged Niño 3.4 index and one-month lagged precipitation and river height were positively associated with an increase in leptospirosis cases in both provinces. El Niño models correctly detected 89% of outbreaks, while short-lead local models gave similar detection rates with a lower number of false positives. Our results show that climatic events are strong drivers of leptospirosis incidence in northeastern Argentina. Therefore, a leptospirosis outbreak prediction tool driven by hydrometeorological indicators could form part of an early warning and response system in the region.
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Affiliation(s)
- Martín Lotto Batista
- Department for Epidemiology, Helmholtz Centre for Infection Research, 38124 Brunswick, Germany
- Barcelona Supercomputing Center (BSC), 08034 Barcelona, Spain
| | - Eleanor M Rees
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
- Centre on Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
| | - Andrea Gómez
- Centre for Studies of Climate Variability and Climate Change (CEVARCAM), National University of Litoral (UNL), S3000 Santa Fe, Argentina
- National Council for Scientific and Technical Research (CONICET), C1425FQB Santa Fe, Argentina
| | - Soledad López
- Centre for Studies of Climate Variability and Climate Change (CEVARCAM), National University of Litoral (UNL), S3000 Santa Fe, Argentina
- National Council for Scientific and Technical Research (CONICET), C1425FQB Santa Fe, Argentina
| | - Stefanie Castell
- Department for Epidemiology, Helmholtz Centre for Infection Research, 38124 Brunswick, Germany
| | - Adam J Kucharski
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
| | - Stéphane Ghozzi
- Department for Epidemiology, Helmholtz Centre for Infection Research, 38124 Brunswick, Germany
| | - Gabriela V Müller
- Centre for Studies of Climate Variability and Climate Change (CEVARCAM), National University of Litoral (UNL), S3000 Santa Fe, Argentina
- National Council for Scientific and Technical Research (CONICET), C1425FQB Santa Fe, Argentina
| | - Rachel Lowe
- Barcelona Supercomputing Center (BSC), 08034 Barcelona, Spain
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
- Centre on Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
- Catalan Institution for Research and Advanced Studies (ICREA), 08010 Barcelona, Spain
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11
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Soja SM, Wegener R, Kille N, Castell S. Merging citizen science with epidemiology: design of a prospective feasibility study of health events and air pollution in Cologne, Germany. Pilot Feasibility Stud 2023; 9:28. [PMID: 36814323 PMCID: PMC9944383 DOI: 10.1186/s40814-023-01250-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 01/17/2023] [Indexed: 02/24/2023] Open
Abstract
BACKGROUND Citizen science as an approach to merge society and science is not a new paradigm. Yet it is not common in public health, epidemiology, or medical sciences. SMARAGD (Sensors for Measuring Aerosols and ReActive Gases to Deduce health effects) assesses air pollution at participants' homes or workplaces in Cologne, Germany, as feasibility study with a citizen science approach. Personal exposure to air pollutants is difficult to study, because the distribution of pollutants is heterogeneous, especially in urban areas. Targeted data collection allows to establish connections between air pollutant concentration and the health of the study population. Air pollution is among the most urgent health risks worldwide. Yet links of individualized pollution levels and respiratory infections remain to be validated, which also applies for the feasibility of the citizen science approach for epidemiological studies. METHODS We co-designed a prospective feasibility study with two groups of volunteers from Cologne, Germany. These citizen scientists and researchers determined that low-cost air-quality sensors (hereafter low-cost sensors) were to be mounted at participants' homes/workplaces to acquire stationary data. The advantage of deploying low-cost sensors is the achievable physical proximity to the participants providing health data. Recruitment started in March 2021 and is currently ongoing (as of 09/22). Sensor units specifically developed for this study using commercially available electronic sensor components will measure particulate matter and trace gases such as ozone, nitrogen oxides, and carbon monoxide. Health data are collected using the eResearch system "Prospective Management and Monitoring-App" (PIA). Due to the ongoing SARS-CoV-2 pandemic, we also focus on COVID-19 as respiratory infection. DISCUSSION Citizen science offers many benefits for science in general but also for epidemiological studies. It provides scientific information to society, enables scientific thinking in critical discourses, can counter anti-scientific ideologies, and takes into account the interests of society. However, it poses many challenges, as it requires extensive resources from researchers and society and can raise concerns regarding data protection and methodological challenges such as selection bias.
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Affiliation(s)
- Sara-Marie Soja
- grid.7490.a0000 0001 2238 295XDepartment for Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstr. 7, Brunswick, Lower Saxony 38124 Germany
| | - Robert Wegener
- grid.8385.60000 0001 2297 375XForschungszentrum Jülich, Institute for Energy and Climate Research, IEK-8: Troposphere, Wilhelm-Johnen-Straße, Jülich, North Rhine-Westphalia 52428 Germany
| | - Natalie Kille
- grid.8385.60000 0001 2297 375XForschungszentrum Jülich, Institute for Energy and Climate Research, IEK-8: Troposphere, Wilhelm-Johnen-Straße, Jülich, North Rhine-Westphalia 52428 Germany
| | - Stefanie Castell
- Department for Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstr. 7, Brunswick, Lower Saxony, 38124, Germany. .,German Centre for Infection Research (DZIF), Inhoffenstr. 7, Brunswick, Lower Saxony, 38124, Germany.
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12
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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] [What about the content of this article? (0)] [Affiliation(s)] [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] [What about the content of this article? (0)] [Affiliation(s)] [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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14
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Kwabla M, Klett-Tammen CJ, Castell S. Barriers and motivation for presumptive tuberculosis case referral: qualitative analysis among operators of community medicine outlets in Ghana. BMC Health Serv Res 2022; 22:980. [PMID: 35915498 PMCID: PMC9341095 DOI: 10.1186/s12913-022-08321-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 07/11/2022] [Indexed: 11/16/2022] Open
Abstract
Background Community medicine outlets (CMOs) are the first point of call for individuals presenting with cough in Ghana. Although operators of CMOs comprising pharmacists and over-the-counter (OTC) medicine sellers largely support the public–private mix strategy which seeks to engage pharmacies in tuberculosis (TB) case detection, a significant proportion is not involved in TB referral services. The study explores the barriers to and motivation for presumptive TB case referral among CMO operators. Methods We used open- and close-ended questions nested in a telephone survey which assessed factors associated with presumptive TB case referral among CMO operators (n = 465). We interviewed participants using computer assisted telephone interviews and analysed the qualitative data using adjusted Mayring’s structured qualitative content analysis. Results Based on participants’ own experiences, non-referral was attributed to negative attitudes of presumed cases (48.2%) and inability to meet the financial demands of referred presumed cases (26.3%). Regarding their perception of barriers to TB referral for their professional colleagues, an assumed lack of TB training (44.5%) and an assumed negative attitude of operators (43.6%) were mentioned. From close-ended questions, most chosen barriers to referral were: the assumption of not having seen a presumptive TB case yet (31.8%), lack of TB training (22.2%) and no monetary motivation for operators (10.5%). Most operators (81.6%) view TB referral services as their social responsibility and feel self-motivated to refer cases in order to control the spread of TB in their communities. Of 152 further comments extracted as recommendations to improve referral, 101 (66.4%) of respondents would only refer with the availability of support systems in the form of TB training and making TB diagnostic testing more accessible. Conclusion Operators of CMOs are predominantly self-motivated to refer presumptive TB cases. Barriers to referral might be mitigated by providing more training to operators and specific financial support such as reimbursement of travel costs to presumptive cases.
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15
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Jacobsen H, Strengert M, Maaß H, Ynga Durand MA, Katzmarzyk M, Kessel B, Harries M, Rand U, Abassi L, Kim Y, Lüddecke T, Metzdorf K, Hernandez P, Ortmann J, Heise JK, Castell S, Gornyk D, Glöckner S, Melhorn V, Kemmling Y, Lange B, Dulovic A, Marsall P, Häring J, Junker D, Schneiderhan-Marra N, Hoffmann M, Pöhlmann S, Krause G, Cicin-Sain L. Diminished neutralization responses towards SARS-CoV-2 Omicron VoC after mRNA or vector-based COVID-19 vaccinations. Sci Rep 2022; 12:19858. [PMID: 36400804 PMCID: PMC9673895 DOI: 10.1038/s41598-022-22552-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 10/17/2022] [Indexed: 11/19/2022] Open
Abstract
SARS-CoV-2 variants accumulating immune escape mutations provide a significant risk to vaccine-induced protection against infection. The novel variant of concern (VoC) Omicron BA.1 and its sub-lineages have the largest number of amino acid alterations in its Spike protein to date. Thus, they may efficiently escape recognition by neutralizing antibodies, allowing breakthrough infections in convalescent and vaccinated individuals in particular in those who have only received a primary immunization scheme. We analyzed neutralization activity of sera from individuals after vaccination with all mRNA-, vector- or heterologous immunization schemes currently available in Europe by in vitro neutralization assay at peak response towards SARS-CoV-2 B.1, Omicron sub-lineages BA.1, BA.2, BA.2.12.1, BA.3, BA.4/5, Beta and Delta pseudotypes and also provide longitudinal follow-up data from BNT162b2 vaccinees. All vaccines apart from Ad26.CoV2.S showed high levels of responder rates (96-100%) towards the SARS-CoV-2 B.1 isolate, and minor to moderate reductions in neutralizing Beta and Delta VoC pseudotypes. The novel Omicron variant and its sub-lineages had the biggest impact, both in terms of response rates and neutralization titers. Only mRNA-1273 showed a 100% response rate to Omicron BA.1 and induced the highest level of neutralizing antibody titers, followed by heterologous prime-boost approaches. Homologous BNT162b2 vaccination, vector-based AZD1222 and Ad26.CoV2.S performed less well with peak responder rates of 48%, 56% and 9%, respectively. However, Omicron responder rates in BNT162b2 recipients were maintained in our six month longitudinal follow-up indicating that individuals with cross-protection against Omicron maintain it over time. Overall, our data strongly argue for booster doses in individuals who were previously vaccinated with BNT162b2, or a vector-based primary immunization scheme.
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Affiliation(s)
- Henning Jacobsen
- Department of Viral Immunology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Monika Strengert
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
- TWINCORE, Centre for Experimental and Clinical Infection Research, Joint Venture of the Hannover Medical School and the Helmholtz Centre for Infection Research, Hannover, Germany
| | - Henrike Maaß
- Department of Viral Immunology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | | | - Maeva Katzmarzyk
- Department of Viral Immunology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Barbora Kessel
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Manuela Harries
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Ulfert Rand
- Department of Viral Immunology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Leila Abassi
- Department of Viral Immunology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Yeonsu Kim
- Department of Viral Immunology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Tatjana Lüddecke
- Department of Viral Immunology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Kristin Metzdorf
- Department of Viral Immunology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Pilar Hernandez
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Julia Ortmann
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Jana-Kristin Heise
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Stefanie Castell
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Daniela Gornyk
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Stephan Glöckner
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Vanessa Melhorn
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Yvonne Kemmling
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Berit Lange
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
- German Centre for Infection Research (DZIF), Partner Site Hannover-Braunschweig, Braunschweig, Germany
| | - Alex Dulovic
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Patrick Marsall
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Julia Häring
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Daniel Junker
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | | | - Markus Hoffmann
- Deutsches Primatenzentrum, Leibniz-Institut Für Primatenforschung, Göttingen, Germany
- Faculty of Biology and Psychology, Georg-August-University, Göttingen, Germany
| | - Stefan Pöhlmann
- Deutsches Primatenzentrum, Leibniz-Institut Für Primatenforschung, Göttingen, Germany
- Faculty of Biology and Psychology, Georg-August-University, Göttingen, Germany
| | - Gérard Krause
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany.
- TWINCORE, Centre for Experimental and Clinical Infection Research, Joint Venture of the Hannover Medical School and the Helmholtz Centre for Infection Research, Hannover, Germany.
- German Centre for Infection Research (DZIF), Partner Site Hannover-Braunschweig, Braunschweig, Germany.
| | - Luka Cicin-Sain
- Department of Viral Immunology, Helmholtz Centre for Infection Research, Braunschweig, Germany.
- German Centre for Infection Research (DZIF), Partner Site Hannover-Braunschweig, Braunschweig, Germany.
- Centre for Individualized Infection Medicine (CIIM), Joint Venture of Helmholtz Centre for Infection Research and Medical School Hannover, Inhoffenstraße 7, 38124, Braunschweig, Germany.
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16
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Häring J, Hassenstein MJ, Becker M, Ortmann J, Junker D, Karch A, Berger K, Tchitchagua T, Leschnik O, Harries M, Gornyk D, Hernández P, Lange B, Castell S, Krause G, Dulovic A, Strengert M, Schneiderhan-Marra N. Borrelia multiplex: a bead-based multiplex assay for the simultaneous detection of Borrelia specific IgG/IgM class antibodies. BMC Infect Dis 2022; 22:859. [PMID: 36396985 PMCID: PMC9670078 DOI: 10.1186/s12879-022-07863-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 11/09/2022] [Indexed: 11/18/2022] Open
Abstract
Background Lyme borreliosis (LB) is the most common tick-borne infectious disease in the northern hemisphere. The diagnosis of LB is usually made by clinical symptoms and subsequently supported by serology. In Europe, a two-step testing consisting of an enzyme-linked immunosorbent assay (ELISA) and an immunoblot is recommended. However, due to the low sensitivity of the currently available tests, antibody detection is sometimes inaccurate, especially in the early phase of infection, leading to underdiagnoses. Methods To improve upon Borrelia diagnostics, we developed a multiplex Borrelia immunoassay (Borrelia multiplex), which utilizes the new INTELLIFLEX platform, enabling the simultaneous dual detection of IgG and IgM antibodies, saving further time and reducing the biosample material requirement. In order to enable correct classification, the Borrelia multiplex contains eight antigens from the five human pathogenic Borrelia species known in Europe. Six antigens are known to mainly induce an IgG response and two antigens are predominant for an IgM response. Results To validate the assay, we compared the Borrelia multiplex to a commercial bead-based immunoassay resulting in an overall assay sensitivity of 93.7% (95% CI 84.8–97.5%) and a specificity of 96.5% (95%CI 93.5–98.1%). To confirm the calculated sensitivity and specificity, a comparison with a conventional 2-step diagnostics was performed. With this comparison, we obtained a sensitivity of 95.2% (95% CI 84.2–99.2%) and a specificity of 93.0% (95% CI 90.6–94.7%). Conclusion Borrelia multiplex is a highly reproducible cost- and time-effective assay that enables the profiling of antibodies against several individual antigens simultaneously. Supplementary Information The online version contains supplementary material available at 10.1186/s12879-022-07863-9.
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17
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Hassenstein MJ, Janzen I, Krause G, Harries M, Melhorn V, Kerrinnes T, Kemmling Y, Castell S. Seroepidemiology of Borrelia burgdorferi s.l. among German National Cohort (NAKO) Participants, Hanover. Microorganisms 2022; 10:2286. [PMID: 36422355 PMCID: PMC9694946 DOI: 10.3390/microorganisms10112286] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 11/08/2022] [Accepted: 11/16/2022] [Indexed: 12/02/2023] Open
Abstract
Lyme borreliosis is the leading tick-related illness in Europe, caused by Borrelia Burgdorferi s.l. Lower Saxony, Germany, including its capital, Hanover, has a higher proportion of infected ticks than central European countries, justifying a research focus on the potential human consequences. The current knowledge gap on human incident infections, particularly in Western Germany, demands serological insights, especially regarding a potentially changing climate-related tick abundance and activity. We determined the immunoglobulin G (IgG) and immunoglobulin M (IgM) serostatuses for 8009 German National Cohort (NAKO) participants from Hanover, examined in 2014-2018. We used an enzyme-linked immunosorbent assay (ELISA) as the screening and a line immunoblot as confirmation for the Borrelia Burgdorferi s.l. antibodies. We weighted the seropositivity proportions to estimate general population seropositivity and estimated the force of infection (FOI). Using logistic regression, we investigated risk factors for seropositivity. Seropositivity was 3.0% (IgG) and 2.1% (IgM). The FOI varied with age, sharply increasing in participants aged ≥40 years. We confirmed advancing age and male sex as risk factors. We reported reduced odds for seropositivity with increasing body mass index and depressive symptomatology, respectively, pointing to an impact of lifestyle-related behaviors. The local proportion of seropositive individuals is comparable to previous estimates for northern Germany, indicating a steady seroprevalence.
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Affiliation(s)
- Max J. Hassenstein
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), 38124 Braunschweig, Germany
- PhD Programme “Epidemiology” Braunschweig-Hannover, Germany
| | - Irina Janzen
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), 38124 Braunschweig, Germany
| | - Gérard Krause
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), 38124 Braunschweig, Germany
- German Center for Infection Research (DZIF), Braunschweig, Germany
- Hanover Medical School (MHH), 30625 Hannover, Germany
- TWINCORE, Centre for Experimental and Clinical Infection Research, A Joint Venture of the Hannover Medical School and Helmholtz Centre for Infection Research, 30625 Hannover, Germany
| | - Manuela Harries
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), 38124 Braunschweig, Germany
| | - Vanessa Melhorn
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), 38124 Braunschweig, Germany
- German Center for Infection Research (DZIF), Braunschweig, Germany
| | - Tobias Kerrinnes
- Department of RNA-Biology of Bacterial Infections, Helmholtz Institute for RNA-Based Infection Research, 97080 Würzburg, Germany
| | - Yvonne Kemmling
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), 38124 Braunschweig, Germany
- German Center for Infection Research (DZIF), Braunschweig, Germany
| | - Stefanie Castell
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), 38124 Braunschweig, Germany
- German Center for Infection Research (DZIF), Braunschweig, Germany
- TWINCORE, Centre for Experimental and Clinical Infection Research, A Joint Venture of the Hannover Medical School and Helmholtz Centre for Infection Research, 30625 Hannover, Germany
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18
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Klett-Tammen CJ, Heise JK, Soja SM, Janzen I, Jenniches F, Kemmling Y, Behrens G, Schulz TF, Wegener R, Castell S. Self-reported vaccination against SARS-CoV-2 and adverse events in multiple cohorts. Eur J Public Health 2022. [DOI: 10.1093/eurpub/ckac131.405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
In two studies (“App-based infection assessment in RESIST (iAR)” and “Digital infection monitoring in persons living with immunodeficiency (DIMI)” ), we monitor health related items, as vaccination against SARS-CoV-2 and conduct syndromic surveillance of acute respiratory infections in high-risk populations, i.e. elderly persons and persons living with HIV, respectively. In a third very similar study (“Sensors for measuring aerosols and reactive gases to deduce health effects (SMARAGD)”) mainly healthy adults participate. To record incident or recurring transient health events, risk factors and further health data in real-time, we developed the eResearch system “PIA - Prospective Monitoring and Management App”. Recruitment for RESIST, SMARAGD and DIMI started in March 2021 and is ongoing. The questionnaire was presented in April 2022. Preliminary results include 86 participants from the three cohorts. In total, one indicated to be not vaccinated, none were vaccinated once, three (3.5%) twice, 63 (73.3%) three times and 19 (22.1%) four times. Participants reported the following adverse events after immunization (AEFI): after 40 applied doses with Vaxzevria® 24 AEFI (60%); after 158 doses of Comirnaty® 41 AEFI (26%); after 62 doses of Spikevax® 19 AEFI (30.7%); and after three doses of Janssen®, one AEFI (33.3%). In these cohorts, 20 (23.36%) participants stated having had a SARS-CoV-2 infection, of these 16 (80%) after the last vaccination dose, three (15%) before the first dose and one (5%) in between doses. Most participants were vaccinated three times, with Comirnaty being the most applied vaccine, as in officially reported numbers. AEFI varied according to vaccine and were higher than in the German surveillance system (1.64/1000 doses). Most infections were indicated to have been diagnosed after the booster vaccination. The results are limited by the small sample size and possible bias through self-reporting and social desirability regarding vaccination status.
Key messages
• Overall, most participants were vaccinated with Comirnaty and had three doses of vaccine. Of the participants with a diagnosed SARS-CoV-2-infection, most got infected after the booster vaccine.
• The number of reported AEFI was higher than in the official surveillance in Germany.
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Affiliation(s)
- CJ Klett-Tammen
- Helmholtz Centre for Infection Research Epidemiology, , Brunswick, Germany
| | - JK Heise
- Helmholtz Centre for Infection Research Epidemiology, , Brunswick, Germany
| | - SM Soja
- Helmholtz Centre for Infection Research Epidemiology, , Brunswick, Germany
| | - I Janzen
- Helmholtz Centre for Infection Research Epidemiology, , Brunswick, Germany
| | - F Jenniches
- Study Centre, Helmholtz Centre for Infection Research , Hanover, Germany
| | - Y Kemmling
- Study Centre, Helmholtz Centre for Infection Research , Hanover, Germany
| | - G Behrens
- Department for Rheumatology and Immunology, Hanover Medical School , Hanover, Germany
| | - TF Schulz
- Institute of Virology, Hanover Medical School , Hanover, Germany
| | - R Wegener
- Institute for Energy and Climate Research , IE, , Jülich, Germany
- Forschungszentrum Jülich , IE, , Jülich, Germany
| | - S Castell
- Helmholtz Centre for Infection Research Epidemiology, , Brunswick, Germany
- TI Bioressources, Biodata und Digital Health, German Centre for Infection Research , Hanover, Germany
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Reuter M, Rigó M, Formazin M, Liebers F, Latza U, Castell S, Jöckel KH, Greiser KH, Michels KB, Krause G, Albrecht S, Öztürk I, Kuss O, Berger K, Lampl BMJ, Leitzmann M, Zeeb H, Starke KR, Schipf S, Meinke-Franze C, Ahrens W, Seidler A, Klee B, Pischon T, Andreas Deckert AD, Schmidt B, Mikolajczyk R, Karch A, Bohn B, Brenner H, Holleczek B, Dragano N. Authors' response: Occupation and SARS-CoV-2 infection risk among workers during the first pandemic wave in Germany: potential for bias. Scand J Work Environ Health 2022; 48:588-590. [PMID: 36153787 PMCID: PMC10539105 DOI: 10.5271/sjweh.4061] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
We thank van Tongeren et al for responding to our study on occupational disparities in SARS-CoV-2 infection risks during the first pandemic wave in Germany (1). The authors address the potential for bias resulting from differential testing between occupational groups and propose an alternative analytical strategy for dealing with selective testing. In the following, we want to discuss two aspects of this issue, namely (i) the extent and reasons of differential testing in our cohort and (ii) the advantages and disadvantages of different analytical approaches to study risk factors for SARS-CoV-2 infection. Our study relied on nationwide prospective cohort data including more than 100 000 workers in order to compare the incidence of infections between different occupations and occupational status positions. We found elevated infection risks in personal services and business administration, in essential occupations (including health care) and among people in higher occupational status positions (ie, managers and highly skilled workers) during the first pandemic wave in Germany (2). Van Tongeren's et al main concern is that the correlations found could be affected by a systematic bias because people in healthcare professions get tested more often than employees in other professions. A second argument is that better-off people could be more likely to use testing as they are less affected by direct costs (prices for testing) and the economic hardship associated with a positive test result (eg, loss of earnings in the event of sick leave). We share the authors' view that differential testing must be considered when analysing and interpreting the data. Thus, in our study, we examined the proportion of tests conducted in each occupational group as part of the sensitivity analyses (see supplementary figure S1, accessible at www.sjweh.fi/article/4037). As expected, testing proportions were exceptionally high in medical occupations (due to employer requirements). However, we did not observe systematic differences among non-medical occupations or when categorising by skill-level or managerial responsibility. This might be explained by several reasons. First, SARS-CoV-2 testing was free of charge during the first pandemic wave in Germany, but reporting a risk contact or having symptoms was a necessary condition for testing ( https://www.bundesgesundheitsministerium.de/coronavirus/chronik-coronavirus.html (accessed 5 September 2022). The newspaper article cited by van Tongeren et al is misleading as it refers to a calendar date after our study period. Second, different motivation for testing due to economic hardship in case of a positive test result is an unlikely explanation, because Germany has a universal healthcare system, including paid sick leave and sickness benefits for all workers (3). Self-employed people carry greater financial risks in case of sickness. We therefore included self-employment in the multivariable analyses to address this potential source of bias. While the observed inverse social gradient may be surprising, it actually matches with findings of ecological studies from Germany (4, 5), the United States (6, 7) as well as Spain, Portugal, Sweden, The Netherlands, Israel, and Hong Kong (8), all of which observed higher infection rates in wealthier neighbourhoods during the initial outbreak phase of the pandemic. One possible explanation is the higher mobility of managers and better educated workers, who are more likely to participate in meetings and engage in business travel and holiday trips like skiing. Given the increasing number of studies providing evidence for this hypothesis, we conclude that the inverse social gradient in our study likely reflects different exposure probabilities and is not a result of systematic bias. This also holds true for the elevated infection risks in essential workers, which is actually corroborated by a large body of research (9-11). Regarding differential likelihood of testing, van Tongeren et al state that "[i]t is relatively simple to address this problem by using a test-negative design" (1). As van Tongeren et al describe, this is a case-control approach only including individuals who were tested (without considering those who were not tested). However, the proposed analytical strategy can lead to another (more serious) selection bias if testing proportions and/or testing criteria differ between groups (12). This can be easily illustrated when comparing the results based on a time-incidence design with those obtained by a test-negative design as shown in table 1 (see PDF). Both approaches show similar results in terms of vertical occupational differences. Infection was more common if individuals had a high skill level or had a managerial position, but associations were stronger in the time-incidence design and did not reach statistical significance in the test-negative design (as indicated by the confidence intervals overlapping "1"). Unfortunately, the test-negative approach relies on a strongly reduced sample size and thus results in greater statistical uncertainty and loss of statistical power (13). In contrast, the test-negative design yields a different picture when estimating the association between essential occupation and infection risk: In this analysis, essential workers did not differ from non-essential workers in their chance of being infected with SARS-CoV-2 (the test-negative design even exhibits a lower chance for essential workers). This is rather counter-intuitive and is not in accordance with what we know about the occupational hazards of healthcare workers during the pandemic (14). The main problem is that proportions of positive tests are highly unreliable when testing proportions and/or testing criteria differ between groups. As essential workers were tested more often without being symptomatic (due to employer requirements), a lower proportion of positive tests in this group does not necessarily correspond to a lower risk of infection. Consequently, we are not convinced that the test-negative design should be the 'gold standard' for studying risk factors for SARS-CoV-2 infections (15). Especially problematic is the loss of statistical power (increasing the probability of a type II error) and the low validity of the test-positivity when test criteria and/or test proportions differ between groups. References 1. van Tongeren M, Rhodes S, Pearce N. Occupation and SARS-CoV-2 infection risk among workers during the first pandemic wave in Germany: potential for bias. Scand J Work Environ Health 2022;48(7):586-587. https://doi.org/10.5271/sjweh.4052. 2. Reuter M, Rigó M, Formazin M, Liebers F, Latza U, Castell S, et al. Occupation and SARS-CoV-2 infection risk among 108 960 workers during the first pandemic wave in Germany. Scand J Work Environ Health 2022;48:446-56. https://doi.org/10.5271/sjweh.4037. 3. Busse R, Blümel M, Knieps F, Bärnighausen T. Statutory health insurance in Germany: a health system shaped by 135 years of solidarity, self-governance, and competition. Lancet 2017;390:882-97. https://doi.org/10.1016/S0140-6736(17)31280-1. 4. Wachtler B, Michalski N, Nowossadeck E, Diercke M, Wahrendorf M, Santos-Hövener C, et al. Socioeconomic inequalities in the risk of SARS-CoV-2 infection - First results from an analysis of surveillance data from Germany. J Heal Monit 2020;5:18-29. https://doi.org/10.25646/7057. 5. Plümper T, Neumayer E. The pandemic predominantly hits poor neighbourhoods? SARS-CoV-2 infections and COVID-19 fatalities in German districts. Eur J Public Health 2020;30:1176-80. https://doi.org/10.1093/eurpub/ckaa168. 6. Abedi V, Olulana O, Avula V, Chaudhary D, Khan A, Shahjouei S, et al. Racial, Economic, and Health Inequality and COVID-19 Infection in the United States. J Racial Ethn Heal Disparities 2021;8:732-42. https://doi.org/10.1007/s40615-020-00833-4. 7. Mukherji N. The Social and Economic Factors Underlying the Incidence of COVID-19 Cases and Deaths in US Counties During the Initial Outbreak Phase. Rev Reg Stud 2022;52. https://doi.org/10.52324/001c.35255. 8. Beese F, Waldhauer J, Wollgast L, Pförtner T, Wahrendorf M, Haller S, et al. Temporal Dynamics of Socioeconomic Inequalities in COVID-19 Outcomes Over the Course of the Pandemic-A Scoping Review. Int J Public Health 2022;67:1-14. https://doi.org/10.3389/ijph.2022.1605128. 9. Nguyen LH, Drew DA, Graham MS, Joshi AD, Guo C-G, Ma W, et al. Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study. Lancet Public Heal 2020;5:e475-83. https://doi.org/10.1016/S2468-2667(20)30164-X. 10. Chou R, Dana T, Buckley DI, Selph S, Fu R, Totten AM. Epidemiology of and Risk Factors for Coronavirus Infection in Health Care Workers. Ann Intern Med 2020;173:120-36. https://doi.org/10.7326/M20-1632. 11. Stringhini S, Zaballa M-E, Pullen N, de Mestral C, Perez-Saez J, Dumont R, et al. Large variation in anti-SARS-CoV-2 antibody prevalence among essential workers in Geneva, Switzerland. Nat Commun 2021;12:3455. https://doi.org/10.1038/s41467-021-23796-4. 12. Accorsi EK, Qiu X, Rumpler E, Kennedy-Shaffer L, Kahn R, Joshi K, et al. How to detect and reduce potential sources of biases in studies of SARS-CoV-2 and COVID-19. Eur J Epidemiol 2021;36:179-96. https://doi.org/10.1007/s10654-021-00727-7. 13. Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd Editio. New York: Routledge; 2013. https://doi.org/10.4324/9780203771587. 14. The Lancet. The plight of essential workers during the COVID-19 pandemic. Lancet 2020;395:1587. https://doi.org/10.1016/S0140-6736(20)31200-9. 15. Vandenbroucke JP, Brickley EB, Pearce N, Vandenbroucke-Grauls CMJE. The Evolving Usefulness of the Test-negative Design in Studying Risk Factors for COVID-19. Epidemiology 2022;33:e7-8. https://doi.org/10.1097/EDE.0000000000001438.
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Affiliation(s)
- Marvin Reuter
- Dr. Marvin Reuter, Institute of Medical Sociology, Centre for Health and Society, Medical Faculty and University Hospital, Heinrich Heine University Duesseldorf Moorenstrasse 5, 40225 Düsseldorf,
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Reuter M, Rigó M, Formazin M, Liebers F, Latza U, Castell S, Jöckel KH, Greiser KH, Michels KB, Krause G, Albrecht S, Öztürk I, Kuss O, Berger K, Lampl BMJ, Leitzmann M, Zeeb H, Starke KR, Schipf S, Meinke-Franze C, Ahrens W, Seidler A, Klee B, Pischon T, Deckert A, Schmidt B, Mikolajczyk R, Karch A, Bohn B, Brenner H, Holleczek B, Dragano N. Occupation and SARS-CoV-2 infection risk among 108 960 workers during the first pandemic wave in Germany. Scand J Work Environ Health 2022; 48:446-456. [PMID: 35670286 PMCID: PMC9888438 DOI: 10.5271/sjweh.4037] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
OBJECTIVE The aim of this study was to identify the occupational risk for a SARS-CoV-2 infection in a nationwide sample of German workers during the first wave of the COVID-19 pandemic (1 February-31 August 2020). METHODS We used the data of 108 960 workers who participated in a COVID follow-up survey of the German National Cohort (NAKO). Occupational characteristics were derived from the German Classification of Occupations 2010 (Klassifikation der Berufe 2010). PCR-confirmed SARS-CoV-2 infections were assessed from self-reports. Incidence rates (IR) and incidence rate ratios (IRR) were estimated using robust Poisson regression, adjusted for person-time at risk, age, sex, migration background, study center, working hours, and employment relationship. RESULTS The IR was 3.7 infections per 1000 workers [95% confidence interval (CI) 3.3-4.1]. IR differed by occupational sector, with the highest rates observed in personal (IR 4.8, 95% CI 4.0-5.6) and business administration (IR 3.4, 95% CI 2.8-3.9) services and the lowest rates in occupations related to the production of goods (IR 2.0, 95% CI 1.5-2.6). Infections were more frequent among essential workers compared with workers in non-essential occupations (IRR 1.95, 95% CI 1.59-2.40) and among highly skilled compared with skilled professions (IRR 1.36, 95% CI 1.07-1.72). CONCLUSIONS The results emphasize higher infection risks in essential occupations and personal-related services, especially in the healthcare sector. Additionally, we found evidence that infections were more common in higher occupational status positions at the beginning of the pandemic.
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Affiliation(s)
- Marvin Reuter
- Institute of Medical Sociology, Centre for Health and Society, Medical Faculty and University Hospital, University of Düsseldorf, Dusseldorf, Germany,
Correspondence to: Dr. Marvin Reuter, Institute of Medical Sociology, Centre for Health and Society, Medical Faculty and University Hospital, Heinrich Heine University Duesseldorf Moorenstrasse 5, 40225 Düsseldorf, Germany. [E-Mail: ]
| | - Mariann Rigó
- Institute of Medical Sociology, Centre for Health and Society, Medical Faculty and University Hospital, University of Düsseldorf, Dusseldorf, Germany
| | - Maren Formazin
- Federal Institute for Occupational Safety and Health (BAuA), Berlin, Germany
| | - Falk Liebers
- Federal Institute for Occupational Safety and Health (BAuA), Berlin, Germany
| | - Ute Latza
- Federal Institute for Occupational Safety and Health (BAuA), Berlin, Germany
| | | | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, Germany
| | - Karin Halina Greiser
- 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
| | - Gérard Krause
- Helmholtz Centre for Infection Research, Braunschweig, Germany,Institute for Infectious Disease Epidemiology, TWINCORE, Hannover, Germany,German Center for Infection Research (DZIF), Braunschweig, Germany
| | - Stefan Albrecht
- Robert Koch Institute, Department for Epidemiology and Health Monitoring, Germany
| | - Ilter Öztürk
- Robert Koch Institute, Department for Epidemiology and Health Monitoring, Germany
| | - Oliver Kuss
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Benedikt MJ Lampl
- Regensburg Department of Public Health, Germany,Department of Epidemiology and Preventive Medicine, University of Regensburg, Germany
| | - Michael Leitzmann
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Germany
| | - Hajo Zeeb
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Karla Romero Starke
- Institute and Policlinic for Occupational and Social Medicine, Faculty of Medicine, Technische Universität Dresden, Germany
| | - Sabine Schipf
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Claudia Meinke-Franze
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Andreas Seidler
- Institute and Policlinic for Occupational and Social Medicine, Faculty of Medicine, Technische Universität Dresden, Germany
| | - Bianca Klee
- Institute for Medical Epidemiology, Biometrics and Informatics, Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Tobias Pischon
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Germany
| | - Andreas Deckert
- Heidelberg Institute of Global Health, Heidelberg University,Heidelberg, Germany
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, Germany
| | - Rafael Mikolajczyk
- Institute for Medical Epidemiology, Biometrics and Informatics, Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - André Karch
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | | | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Nico Dragano
- Institute of Medical Sociology, Centre for Health and Society, Medical Faculty and University Hospital, University of Düsseldorf, Dusseldorf, Germany
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21
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Akmatov MK, Holstiege J, Dammertz L, Heuer J, Kohring C, Lotto-Batista M, Boeing F, Ghozzi S, Castell S, Bätzing J. Epidemiology of Lyme borreliosis based on outpatient claims data of all people with statutory health insurance, Germany, 2019. Euro Surveill 2022; 27. [PMID: 35959689 PMCID: PMC9373599 DOI: 10.2807/1560-7917.es.2022.27.32.2101193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Introduction Evidence of nationwide and regional morbidity of Lyme borreliosis (LB) in Germany is lacking. Aims We calculated the total number of incident LB cases in Germany in 2019, compared regional variations, investigated the extent of possible under-reporting in notification data and examined the association between high incidence areas and land cover composition. Methods We used outpatient claims data comprising information for people with statutory health insurance who visited a physician at least once between 2010 and 2019 in Germany (n = 71,411,504). The ICD-10 code A69.2 was used to identify incident LB patients. Spatial variations of LB were assessed by means of Global and Local Moran’s Index at district level. Notification data were obtained for nine federal states with mandatory notification from the Robert Koch Institute (RKI). Results Of all insured, 128,177 were diagnosed with LB in 2019, corresponding to an incidence of 179 per 100,000 insured. The incidence varied across districts by a factor of 16 (range: 40–646 per 100,000). We identified four spatial clusters with high incidences. These clusters were associated with a significantly larger proportion of forests and agricultural areas than low incidence clusters. In 2019, 12,264 LB cases were reported to the RKI from nine federal states, while 69,623 patients with LB were found in claims data for those states. This difference varied considerably across districts. Conclusions These findings serve as a solid basis for regionally tailored population-based intervention programmes and can support modelling studies assessing the development of LB epidemiology under various climate change scenarios.
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Affiliation(s)
- Manas K Akmatov
- Department of Epidemiology and Health Care Atlas, Central Research Institute of Ambulatory Health Care, Berlin, Germany
| | - Jakob Holstiege
- Department of Epidemiology and Health Care Atlas, Central Research Institute of Ambulatory Health Care, Berlin, Germany
| | - Lotte Dammertz
- Department of Epidemiology and Health Care Atlas, Central Research Institute of Ambulatory Health Care, Berlin, Germany
| | - Joachim Heuer
- Department of Epidemiology and Health Care Atlas, Central Research Institute of Ambulatory Health Care, Berlin, Germany
| | - Claudia Kohring
- Department of Epidemiology and Health Care Atlas, Central Research Institute of Ambulatory Health Care, Berlin, Germany
| | - Martin Lotto-Batista
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Friedrich Boeing
- Department of Computational Hydrosystems, Helmholtz Centre for Environmental Research, Leipzig, Germany
| | - Stéphane Ghozzi
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Stefanie Castell
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Jörg Bätzing
- Department of Epidemiology and Health Care Atlas, Central Research Institute of Ambulatory Health Care, Berlin, Germany
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22
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Rübsamen N, Garcia Voges B, Castell S, Klett-Tammen CJ, Oppliger J, Krütli P, Smieszek T, Mikolajczyk R, Karch A. Providing laypeople with results from dynamic infectious disease modelling studies affects their allocation preference for scarce medical resources-a factorial experiment. BMC Public Health 2022; 22:572. [PMID: 35321669 PMCID: PMC8940588 DOI: 10.1186/s12889-022-13000-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 03/15/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Allocation of scarce medical resources can be based on different principles. It has not yet been investigated which allocation schemes are preferred by medical laypeople in a particular situation of medical scarcity like an emerging infectious disease and how the choices are affected by providing information about expected population-level effects of the allocation scheme based on modelling studies. We investigated the potential benefit of strategic communication of infectious disease modelling results. METHODS In a two-way factorial experiment (n = 878 participants), we investigated if prognosis of the disease or information about expected effects on mortality at population-level (based on dynamic infectious disease modelling studies) influenced the choice of preferred allocation schemes for prevention and treatment of an unspecified sexually transmitted infection. A qualitative analysis of the reasons for choosing specific allocation schemes supplements our results. RESULTS Presence of the factor "information about the population-level effects of the allocation scheme" substantially increased the probability of choosing a resource allocation system that minimized overall harm among the population, while prognosis did not affect allocation choices. The main reasons for choosing an allocation scheme differed among schemes, but did not differ among those who received additional model-based information on expected population-level effects and those who did not. CONCLUSIONS Providing information on the expected population-level effects from dynamic infectious disease modelling studies resulted in a substantially different choice of allocation schemes. This finding supports the importance of incorporating model-based information in decision-making processes and communication strategies.
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Affiliation(s)
- Nicole Rübsamen
- Institute of Epidemiology and Social Medicine, University of Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany. .,Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany.
| | - Benno Garcia Voges
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
| | - Stefanie Castell
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
| | | | - Jérôme Oppliger
- Department of Environmental Systems Science, ETH Zürich, Zürich, Switzerland
| | - Pius Krütli
- Department of Environmental Systems Science, ETH Zürich, Zürich, Switzerland
| | - Timo Smieszek
- MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College School of Public Health, London, UK.,Modelling and Economics Unit, Statistics, Modelling, and Economics Department, Public Health England, London, UK
| | - Rafael Mikolajczyk
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany.,Institute for Medical Epidemiology, Biometry, and Informatics (IMEBI), Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - André Karch
- Institute of Epidemiology and Social Medicine, University of Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.,Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
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23
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Dulovic A, Kessel B, Harries M, Becker M, Ortmann J, Griesbaum J, Jüngling J, Junker D, Hernandez P, Gornyk D, Glöckner S, Melhorn V, Castell S, Heise JK, Kemmling Y, Tonn T, Frank K, Illig T, Klopp N, Warikoo N, Rath A, Suckel C, Marzian AU, Grupe N, Kaiser PD, Traenkle B, Rothbauer U, Kerrinnes T, Krause G, Lange B, Schneiderhan-Marra N, Strengert M. Comparative Magnitude and Persistence of Humoral SARS-CoV-2 Vaccination Responses in the Adult Population in Germany. Front Immunol 2022; 13:828053. [PMID: 35251012 PMCID: PMC8888837 DOI: 10.3389/fimmu.2022.828053] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 01/17/2022] [Indexed: 12/01/2022] Open
Abstract
Recent increases in SARS-CoV-2 infections have led to questions about duration and quality of vaccine-induced immune protection. While numerous studies have been published on immune responses triggered by vaccination, these often focus on studying the impact of one or two immunisation schemes within subpopulations such as immunocompromised individuals or healthcare workers. To provide information on the duration and quality of vaccine-induced immune responses against SARS-CoV-2, we analyzed antibody titres against various SARS-CoV-2 antigens and ACE2 binding inhibition against SARS-CoV-2 wild-type and variants of concern in samples from a large German population-based seroprevalence study (MuSPAD) who had received all currently available immunisation schemes. We found that homologous mRNA-based or heterologous prime-boost vaccination produced significantly higher antibody responses than vector-based homologous vaccination. Ad26.CoV2S.2 performance was particularly concerning with reduced titres and 91.7% of samples classified as non-responsive for ACE2 binding inhibition, suggesting that recipients require a booster mRNA vaccination. While mRNA vaccination induced a higher ratio of RBD- and S1-targeting antibodies, vector-based vaccines resulted in an increased proportion of S2-targeting antibodies. Given the role of RBD- and S1-specific antibodies in neutralizing SARS-CoV-2, their relative over-representation after mRNA vaccination may explain why these vaccines have increased efficacy compared to vector-based formulations. Previously infected individuals had a robust immune response once vaccinated, regardless of which vaccine they received, which could aid future dose allocation should shortages arise for certain manufacturers. Overall, both titres and ACE2 binding inhibition peaked approximately 28 days post-second vaccination and then decreased.
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Affiliation(s)
- Alex Dulovic
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Barbora Kessel
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Manuela Harries
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Matthias Becker
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Julia Ortmann
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Johanna Griesbaum
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Jennifer Jüngling
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Daniel Junker
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Pilar Hernandez
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Daniela Gornyk
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Stephan Glöckner
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Vanessa Melhorn
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Stefanie Castell
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Jana-Kristin Heise
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Yvonne Kemmling
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Torsten Tonn
- German Red Cross Blood Donation Service North East, Dresden, Germany
| | - Kerstin Frank
- German Red Cross Blood Donation Service North East, Dresden, Germany
| | - Thomas Illig
- Hannover Unified Biobank, Hannover Medical School, Hannover, Germany
| | - Norman Klopp
- Hannover Unified Biobank, Hannover Medical School, Hannover, Germany
| | - Neha Warikoo
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Angelika Rath
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Christina Suckel
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Anne Ulrike Marzian
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Nicole Grupe
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Philipp D. Kaiser
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Bjoern Traenkle
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Ulrich Rothbauer
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
- Pharmaceutical Biotechnology, Department of Pharmacy and Biochemistry, University of Tübingen, Tübingen, Germany
| | - Tobias Kerrinnes
- Department of RNA-Biology of Bacterial Infections, Helmholtz Institute for RNA-Based Infection Research, Würzburg, Germany
| | - Gérard Krause
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
- TWINCORE, Centre for Experimental and Clinical Infection Research, a Joint Venture of the Hannover Medical School and the Helmholtz Centre for Infection Research, Hannover, Germany
- German Centre for Infection Research (DZIF), Partner Site Hannover-Braunschweig, Braunschweig, Germany
| | - Berit Lange
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
- German Centre for Infection Research (DZIF), Partner Site Hannover-Braunschweig, Braunschweig, Germany
| | | | - Monika Strengert
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
- TWINCORE, Centre for Experimental and Clinical Infection Research, a Joint Venture of the Hannover Medical School and the Helmholtz Centre for Infection Research, Hannover, Germany
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24
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Heise JK, Dey R, Emmerich M, Kemmling Y, Sistig S, Krause G, Castell S. Putting digital epidemiology into practice: PIA- Prospective Monitoring and Management Application. Informatics in Medicine Unlocked 2022. [DOI: 10.1016/j.imu.2022.100931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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25
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Kwabla MP, Amuasi JH, Krause G, Klett-Tammen CJ, Castell S. Referral of presumptive TB among operators of community medicine outlets. Int J Tuberc Lung Dis 2021; 25:982-989. [PMID: 34886927 DOI: 10.5588/ijtld.21.0190] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND: Case detection is an important part of TB control programmes. In 2007, the TB programme in Ghana join the WHO´s public-private partnership with community medicine outlet operators to increase referral of persons with presumptive TB for laboratory investigation. Information on factors likely to influence referral is scarce in Ghana. We assessed these factors among pharmacists and over-the-counter (OTC) medicine sellers.METHODS: In 2019-2020, we conducted computer-assisted telephone interviews among community pharmacists and OTC medicine sellers in the Eastern Region of Ghana. We used a structured questionnaire and collected data on respondents´ sociodemographics and professional characteristics. We used logistic regression to investigate characteristics associated with self-reported referral of presumptive TB cases.RESULTS: Of all respondents who completed the interviews, 68.7% (321/467) reported having ever referred a presumptive TB case and 72.1% (336/466) had received specific training. Associated factors of presumptive TB referral were having received specific training (OR 2.7, 95% CI 1.5-4.9); performing both dispensing and managerial functions (OR 2.8, 95% CI 1.4-5.5); operating from OTC shop (OR 6.2, 95% CI 1.6-23.4) and the availability of a TB laboratory within walking distance (OR 3.3, 95% CI 1.2-9.5).CONCLUSION: Interviewees largely support TB referral. However, a significant proportion does not follow the strategy closely. We recommend more specific TB training courses.
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Affiliation(s)
- M P Kwabla
- Department for Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany, PhD Programme Epidemiology, Helmholtz Centre for Infection Research (HZI), Braunschweig and Hanover Biomedical Research School, Medical School Hanover, Germany, Department of Epidemiology and Biostatistics, School of Public Health, University of Health and Allied Sciences, Ho, Ghana
| | - J H Amuasi
- Department of Global Health, School of Public Health, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana, Kumasi Centre for Collaborative Research in Tropical Medicine, KNUST, Kumasi, Ghana, Global Health and Infectious Diseases Research Group, Bernhard Nocht Institute of Tropical Medicine, Hamburg, Germany
| | - G Krause
- Department for Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany, Medical School Hanover (MHH), Hanover, Germany, TI Epidemiology, German Centre for Infection Research (DZIF), Hanover, Germany
| | - C J Klett-Tammen
- Department for Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - S Castell
- Department for Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany, TI Epidemiology, German Centre for Infection Research (DZIF), Hanover, Germany
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26
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Gornyk D, Scharlach M, Buhr-Riehm B, Klett-Tammen CJ, Eberhard S, Stahmeyer JT, Großhennig A, Smith A, Meinicke S, Bautsch W, Krause G, Castell S. Effectiveness of Trainings of General Practitioners on Antibiotic Stewardship: Methods of a Pragmatic Quasi-Experimental Study in a Controlled Before-After Design in South-East-Lower Saxony, Germany (WASA). Front Pharmacol 2021; 12:533248. [PMID: 33967743 PMCID: PMC8103612 DOI: 10.3389/fphar.2021.533248] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Accepted: 03/08/2021] [Indexed: 11/23/2022] Open
Abstract
Introduction: Antibiotic resistance is a serious threat to global public health. It reduces the effectiveness of treatments for serious bacterial infections and thus increases the risk of fatal outcomes. Antibiotic prescriptions are often not in line with clinical evidence-based guidelines. The process of emergence of resistant bacteria can be slowed down by adherence to guidelines. Yet this adherence seems to be lacking in primary health care. Methods and Analysis: This pragmatic quasi-experimental study using a controlled before-after design was carried out in South-East-Lower Saxony in 2018-2020. The voluntary attendance of interactive trainings with condensed presentation of current guidelines for general practitioners (GP) on antibiotic management for urinary and respiratory tract infections is regarded as intervention. Those GP not attending the trainings constitute the control group. Data were collected via questionnaires; routine health records are provided by a statutory health insurance. The primary outcome is the proportion of (guideline-based) prescriptions in relation to the relevant ICD-10 codes as well as daily defined doses and the difference in proportion of certain prescriptions according to guidelines before and after the intervention as compared to the control group. Further outcomes are among others the subjectively perceived risk of antibiotic resistance and the attitude toward the guidelines. The questionnaires to assess this are based on theory of planned behavior (TPB) and health action process approach (HAPA). Variations over time and effects caused by measures other than WASA (Wirksamkeit von Antibiotika-Schulungen in der niedergelassenen Aerzteschaft-Effectiveness of antibiotic management training in the primary health care sector) training are taken into account by including the control group and applying interrupted time series analysis. Ethics and Dissemination: The study protocol and the data protection concept respectively were reviewed and approved by the Ethics Committee of the Hannover Medical School and the Federal Commissioner for Data Protection and Freedom of Information. Trial Registration: https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00013951, identifier DRKS00013951.
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Affiliation(s)
- Daniela Gornyk
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
- PhD Programme Epidemiology Hannover-Braunschweig, Braunschweig, Germany
| | - Martina Scharlach
- Governmental Institute of Public Health of Lower Saxony, Hannover, Germany
| | | | - Carolina Judith Klett-Tammen
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
- Centre for Public Health and Healthcare, Hannover Medical School, Hannover, Germany
| | - Sveja Eberhard
- AOK Niedersachsen-Statutory Health Insurance of Lower Saxony, Hannover, Germany
| | | | - Anika Großhennig
- Institut für Biometrie, Hannover Medical School, Hannover, Germany
| | - Andrea Smith
- Institut für Biometrie, Hannover Medical School, Hannover, Germany
| | - Sarah Meinicke
- Technische Universität Braunschweig, Braunschweig, Germany
| | - Wilfried Bautsch
- Institute of Microbiology, Immunology and Hospital Hygiene, City Hospital Brunswick, Braunschweig, Germany
| | - Gérard Krause
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
- Hannover Medical School, Hannover, Germany
| | - Stefanie Castell
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
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27
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Raschpichler G, Raupach-Rosin H, Akmatov MK, Castell S, Rübsamen N, Feier B, Szkopek S, Bautsch W, Mikolajczyk R, Karch A. Development and external validation of a clinical prediction model for MRSA carriage at hospital admission in Southeast Lower Saxony, Germany. Sci Rep 2020; 10:17998. [PMID: 33093607 PMCID: PMC7582828 DOI: 10.1038/s41598-020-75094-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 10/07/2020] [Indexed: 11/09/2022] Open
Abstract
In countries with low endemic Methicillin-resistant Staphylococcus aureus (MRSA) prevalence, identification of risk groups at hospital admission is considered more cost-effective than universal MRSA screening. Predictive statistical models support the selection of suitable stratification factors for effective screening programs. Currently, there are no universal guidelines in Germany for MRSA screening. Instead, a list of criteria is available from the Commission for Hospital Hygiene and Infection Prevention (KRINKO) based on which local strategies should be adopted. We developed and externally validated a model for individual prediction of MRSA carriage at hospital admission in the region of Southeast Lower Saxony based on two prospective studies with universal screening in Braunschweig (n = 2065) and Wolfsburg (n = 461). Logistic regression was used for model development. The final model (simplified to an unweighted score) included history of MRSA carriage, care dependency and cancer treatment. In the external validation dataset, the score showed a sensitivity of 78.4% (95% CI: 64.7-88.7%), and a specificity of 70.3% (95% CI: 65.0-75.2%). Of all admitted patients, 25.4% had to be screened if the score was applied. A model based on KRINKO criteria showed similar sensitivity but lower specificity, leading to a considerably higher proportion of patients to be screened (49.5%).
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Affiliation(s)
- Gabriele Raschpichler
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Brunswick, Germany
| | - Heike Raupach-Rosin
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Brunswick, Germany
| | - Manas K Akmatov
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Brunswick, Germany
- Central Research Institute of Ambulatory Health Care in Germany (ZI), Berlin, Germany
| | - Stefanie Castell
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Brunswick, Germany
| | - Nicole Rübsamen
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Brunswick, Germany
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Birgit Feier
- Central Laboratory, Klinikum Wolfsburg, Wolfsburg, Germany
| | - Sebastian Szkopek
- Institute for Microbiology, Immunology and Hospital Hygiene, Städtisches Klinikum Braunschweig gGmbH, Brunswick, Germany
| | - Wilfried Bautsch
- Institute for Microbiology, Immunology and Hospital Hygiene, Städtisches Klinikum Braunschweig gGmbH, Brunswick, Germany
| | - Rafael Mikolajczyk
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Brunswick, Germany
- Institute for Medical Epidemiology, Biometry, and Informatics (IMEBI), Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
- Hanover Medical School, Hanover, Germany
| | - André Karch
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Brunswick, Germany.
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
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28
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Zeeb M, Kerrinnes T, Cicin-Sain L, Guzman CA, Puppe W, Schulz TF, Peters A, Berger K, Castell S, Karch A. Seropositivity for pathogens associated with chronic infections is a risk factor for all-cause mortality in the elderly: findings from the Memory and Morbidity in Augsburg Elderly (MEMO) Study. GeroScience 2020; 42:1365-1376. [PMID: 32648237 PMCID: PMC7525922 DOI: 10.1007/s11357-020-00216-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Accepted: 06/11/2020] [Indexed: 12/17/2022] Open
Abstract
Immunostimulation by chronic infection has been linked to an increased risk for different non-communicable diseases, which in turn are leading causes of death in high- and middle-income countries. Thus, we investigated if a positive serostatus for pathogens responsible for common chronic infections is individually or synergistically related to reduced overall survival in community dwelling elderly. We used data of 365 individuals from the German MEMO (Memory and Morbidity in Augsburg Elderly) cohort study with a median age of 73 years at baseline and a median follow-up of 14 years. We examined the effect of a positive serostatus at baseline for selected pathogens associated with chronic infections (Helicobacter pylori, Borrelia burgdorferi sensu lato, Toxoplasma gondii, cytomegalovirus, Epstein-Barr virus, herpes simplex virus 1/2, and human herpesvirus 6) on all-cause mortality with multivariable parametric survival models. We found a reduced survival time in individuals with a positive serostatus for Helicobacter pylori (accelerated failure time (AFT) - 15.92, 95% CI - 29.96; - 1.88), cytomegalovirus (AFT - 22.81, 95% CI - 36.41; - 9.22) and Borrelia burgdorferi sensu lato (AFT - 25.25, 95% CI - 43.40; - 7.10), after adjusting for potential confounders. The number of infectious agents an individual was seropositive for had a linear effect on all-cause mortality (AFT per additional infection - 12.42 95% CI - 18.55; - 6.30). Our results suggest an effect of seropositivity for Helicobacter pylori, cytomegalovirus, and Borrelia burgdorferi sensu lato on all-cause mortality in older community dwelling individuals. Further research with larger cohorts and additional biomarkers is required, to assess mediators and molecular pathways of this effect.
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Affiliation(s)
- Marius Zeeb
- Institute for Medical Information Science, Biometry and Epidemiology, Ludwig Maximilians University, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
- Department for Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Germany
| | - Tobias Kerrinnes
- Department for Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Germany
| | - Luka Cicin-Sain
- Department of Vaccinology and Applied Microbiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
- Cluster of Excellence RESIST (EXC 2155), Hannover Medical School (MHH), Hannover, Germany
- Centre for Individualised Infection Medicine (CIIM), a joint venture of HZI and MHH, Hannover, Germany
- German Centre for Infection Research (DZIF), Hannover-Braunschweig site, Braunschweig, Germany
| | - Carlos A Guzman
- Department of Vaccinology and Applied Microbiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Wolfram Puppe
- Cluster of Excellence RESIST (EXC 2155), Hannover Medical School (MHH), Hannover, Germany
- German Centre for Infection Research (DZIF), Hannover-Braunschweig site, Braunschweig, Germany
- Institute for Virology, Hannover Medical School (MHH), Hannover, Germany
| | - Thomas F Schulz
- Cluster of Excellence RESIST (EXC 2155), Hannover Medical School (MHH), Hannover, Germany
- German Centre for Infection Research (DZIF), Hannover-Braunschweig site, Braunschweig, Germany
- Institute for Virology, Hannover Medical School (MHH), Hannover, Germany
| | - Annette Peters
- Institute for Medical Information Science, Biometry and Epidemiology, Ludwig Maximilians University, Munich, Germany
- German Research Center for Environmental Health, Munich, Germany
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Stefanie Castell
- Department for Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Germany
| | - André Karch
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
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29
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Langer S, Horn J, Kluttig A, Mikolajczyk R, Karrasch S, Schulz H, Wichmann HE, Linseisen J, Jaeschke L, Pischon T, Fricke J, Keil T, Ahrens W, Günther K, Kuß O, Schikowski T, Schmidt B, Jöckel KH, Michels KB, Franzke CW, Becher H, Jagodzinski A, Castell S, Kemmling Y, Lieb W, Waniek S, Wirkner K, Löffler M, Kaaks R, Greiser KH, Berger K, Legath N, Meinke-Franze C, Schipf S, Leitzmann M, Baurecht H, Weigl K, Amitay E, Gottschick C. [Occurrence of bronchial asthma and age at initial asthma diagnosis-first results of the German National Cohort]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2020; 63:397-403. [PMID: 32125462 DOI: 10.1007/s00103-020-03105-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
BACKGROUND Asthma is one of the most common chronic diseases in both children and adults. Asthma first occurring in adulthood (adult-onset asthma, AOA) is associated with poorer prognosis compared to childhood-onset asthma (COA), which urgently calls for more research in this area. The aim of this work was to analyze the data on asthma collected in the German National Cohort and compare it with the German Health Interview and Examination Survey for Adults (DEGS), in particular regarding AOA. MATERIAL AND METHODS Our analysis was based on the dataset of the main questionnaire at mid-term of the German National Cohort baseline examination, comprising 101,723 participants. Variables considered in the analyses were self-reported diagnosis of asthma, age at first diagnosis, asthma treatment in the past 12 months, age, and sex. RESULTS In the midterm dataset, 8.7% of women and 7.0% of men in the German National Cohort reported that they had ever been diagnosed with asthma. Approximately one third of participants with asthma received their initial diagnosis before their 18th birthday. COA affected 2.2% of women and 2.8% of men, whereas AOA affected 6.5% of women and 4.2% of men. During the previous 12 months, 33% of COA cases and 60% of AOA cases were medically treated. CONCLUSION The proportion of persons affected by asthma in the German National Cohort, as well as observed patterns regarding age and gender, corresponds to other data sources such as DEGS. However, in our analysis, the proportion of individuals with AOA was higher than described in the literature. The increase in cumulative asthma diagnoses with age is markedly steeper in younger participants, indicating a rising trend over time.
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Affiliation(s)
- Susan Langer
- Institut für Medizinische Epidemiologie, Biometrie und Informatik, Martin-Luther-Universität Halle-Wittenberg, Magdeburger Str. 8, 06112, Halle (Saale), Deutschland
| | - Johannes Horn
- Institut für Medizinische Epidemiologie, Biometrie und Informatik, Martin-Luther-Universität Halle-Wittenberg, Magdeburger Str. 8, 06112, Halle (Saale), Deutschland
| | - Alexander Kluttig
- Institut für Medizinische Epidemiologie, Biometrie und Informatik, Martin-Luther-Universität Halle-Wittenberg, Magdeburger Str. 8, 06112, Halle (Saale), Deutschland
| | - Rafael Mikolajczyk
- Institut für Medizinische Epidemiologie, Biometrie und Informatik, Martin-Luther-Universität Halle-Wittenberg, Magdeburger Str. 8, 06112, Halle (Saale), Deutschland
| | - Stefan Karrasch
- Institut für Epidemiologie, Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt, München, Deutschland.,Institut und Poliklinik für Arbeits‑, Sozial- und Umweltmedizin, Klinikum der Universität München, München, Deutschland.,Comprehensive Pneumology Center Munich (CPC-M), Mitglied des Deutschen Zentrums für Lungenforschung (DZL), München, Deutschland
| | - Holger Schulz
- Institut für Epidemiologie, Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt, München, Deutschland.,Comprehensive Pneumology Center Munich (CPC-M), Mitglied des Deutschen Zentrums für Lungenforschung (DZL), München, Deutschland
| | - Heinz-Erich Wichmann
- Institut für Epidemiologie, Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt, München, Deutschland
| | - Jakob Linseisen
- Ludwig-Maximilians-Universität München, Lehrstuhl für Epidemiologie, UNIKA-T Augsburg, Augsburg, Deutschland.,Klinische Epidemiologie, Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt, München, Deutschland
| | - Lina Jaeschke
- Forschergruppe Molekulare Epidemiologie, Max-Delbrück-Centrum für Molekulare Medizin in der Helmholtz-Gemeinschaft (MDC), Berlin, Deutschland
| | - Tobias Pischon
- Forschergruppe Molekulare Epidemiologie, Max-Delbrück-Centrum für Molekulare Medizin in der Helmholtz-Gemeinschaft (MDC), Berlin, Deutschland.,Charité - Universitätsmedizin Berlin, Berlin, Deutschland.,Deutsches Zentrum für Herz-Kreislauf-Forschung (DZHK), Partnerstandort Berlin, Berlin, Deutschland.,MDC/BIH Biobank, Max-Delbrück-Centrum für Molekulare Medizin in der Helmholtz-Gemeinschaft (MDC) und Berlin Institute of Health (BIH), Berlin, Deutschland
| | - Julia Fricke
- 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
| | - 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
| | - Oliver Kuß
- Leibniz-Zentrum für Diabetes-Forschung an der Heinrich-Heine-Universität Düsseldorf, Institut für Biometrie und Epidemiologie, Deutsches Diabetes-Zentrum (DDZ), Düsseldorf, Deutschland
| | - Tamara Schikowski
- IUF - Leibniz-Institut für umweltmedizinische Forschung gGmbH, Düsseldorf, Deutschland
| | - Börge Schmidt
- Institut für Medizinische Informatik, Biometrie und Epidemiologie, Universitätsklinikum Essen, Essen, Deutschland
| | - Karl-Heinz Jöckel
- Institut für Medizinische Informatik, Biometrie und Epidemiologie, Universitätsklinikum Essen, Essen, 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
| | - Heiko Becher
- Institut für Medizinische Biometrie und Epidemiologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland
| | - Annika Jagodzinski
- Klinik für Allgemeine und Interventionelle Kardiologie, Universitäres Herz- und Gefäßzentrum Hamburg - Eppendorf, Hamburg, Deutschland.,Deutsches Zentrum für Herzkreislaufforschung, Hamburg, Deutschland.,Epidemiologisches Studienzentrum, Universitätsklinikum Hamburg - Eppendorf, Hamburg, Deutschland
| | - Stefanie Castell
- Helmholtz-Zentrum für Infektionsforschung, Braunschweig, Deutschland
| | - Yvonne Kemmling
- Helmholtz-Zentrum für Infektionsforschung, Braunschweig, Deutschland
| | - Wolfgang Lieb
- Institut für Epidemiologie, Christian-Albrechts-Universität Kiel, Kiel, Deutschland
| | - Sabina Waniek
- Institut für Epidemiologie, Christian-Albrechts-Universität Kiel, Kiel, Deutschland
| | - Kerstin Wirkner
- Institut für Medizinische Informatik, Statistik und Epidemiologie (IMISE), Universität Leipzig, Leipzig, Deutschland.,LIFE-Forschungszentrum für Zivilisationskrankheiten, Universität Leipzig, Leipzig, Deutschland
| | - Markus Löffler
- Institut für Medizinische Informatik, Statistik und Epidemiologie (IMISE), Universität Leipzig, Leipzig, Deutschland.,LIFE-Forschungszentrum für Zivilisationskrankheiten, Universität Leipzig, Leipzig, Deutschland
| | - Rudolf Kaaks
- Abteilung Epidemiologie von Krebserkrankungen, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | - Karin Halina Greiser
- Abteilung Epidemiologie von Krebserkrankungen, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | - Klaus Berger
- Institut für Epidemiologie und Sozialmedizin, Westfälische Wilhelms-Universität Münster, Münster, Deutschland
| | - Nicole Legath
- Institut für Epidemiologie und Sozialmedizin, Westfälische Wilhelms-Universität Münster, Münster, Deutschland
| | - Claudia Meinke-Franze
- Institut für Community Medicine, Universitätsmedizin Greifswald, Greifswald, Deutschland
| | - Sabine Schipf
- Institut für Community Medicine, Universitätsmedizin Greifswald, Greifswald, Deutschland
| | - Michael Leitzmann
- Institut für Epidemiologie und Präventivmedizin, Universität Regensburg, Regensburg, Deutschland
| | - Hansjörg Baurecht
- Institut für Epidemiologie und Präventivmedizin, Universität Regensburg, Regensburg, Deutschland
| | - Korbinian Weigl
- Abt. Klinische Epidemiologie und Alternsforschung, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | - Efrat Amitay
- Abt. Klinische Epidemiologie und Alternsforschung, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | - Cornelia Gottschick
- Institut für Medizinische Epidemiologie, Biometrie und Informatik, Martin-Luther-Universität Halle-Wittenberg, Magdeburger Str. 8, 06112, Halle (Saale), Deutschland.
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30
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Wolf K, Kraus U, Dzolan M, Bolte G, Lakes T, Schikowski T, Greiser KH, Kuß O, Ahrens W, Bamberg F, Becher H, Berger K, Brenner H, Castell S, Damms-Machado A, Fischer B, Franzke CW, Gastell S, Günther K, Holleczek B, Jaeschke L, Kaaks R, Keil T, Kemmling Y, Krist L, Legath N, Leitzmann M, Lieb W, Loeffler M, Meinke-Franze C, Michels KB, Mikolajczyk R, Moebus S, Mueller U, Obi N, Pischon T, Rathmann W, Schipf S, Schmidt B, Schulze M, Thiele I, Thierry S, Waniek S, Wigmann C, Wirkner K, Zschocke J, Peters A, Schneider A. [Nighttime transportation noise annoyance in Germany: personal and regional differences in the German National Cohort Study]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2020; 63:332-343. [PMID: 32047975 DOI: 10.1007/s00103-020-03094-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Noise annoyance is associated with adverse health-related conditions and reduced wellbeing. Thereby, subjective noise annoyance depends on the objective noise exposure and is modified by personal and regional factors. OBJECTIVE How many participants of the German National Cohort Study (GNC; NAKO Gesundheitsstudie) were annoyed by transportation noise during nighttime and what factors were associated with noise annoyance? MATERIALS AND METHODS This cross-sectional analysis included 86,080 participants from 18 study centers, examined from 2014 to 2017. We used multinomial logistic regression to investigate associations of personal and regional factors to noise annoyance (slightly/moderately or strongly/extremely annoyed vs. not annoyed) mutually adjusting for all factors in the model. RESULTS Two thirds of participants were not annoyed by transportation noise during nighttime and one in ten reported strong/extreme annoyance with highest percentages for the study centers Berlin-Mitte and Leipzig. The strongest associations were seen for factors related to the individual housing situation like the bedroom being positioned towards a major road (OR of being slightly/moderately annoyed: 4.26 [95% CI: 4.01;4.52]; OR of being strongly/extremely annoyed: 13.36 [95% CI: 12.47;14.32]) compared to a garden/inner courtyard. Participants aged 40-60 years and those in low- and medium-income groups reported greater noise annoyance compared to younger or older ones and those in the high-income group. CONCLUSION In this study from Germany, transportation noise annoyance during nighttime varied by personal and regional factors.
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Affiliation(s)
- Kathrin Wolf
- Institut für Epidemiologie, Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt, Ingolstädter Landstr. 1, 85764, Neuherberg, Deutschland.
| | - Ute Kraus
- Institut für Epidemiologie, Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt, Ingolstädter Landstr. 1, 85764, Neuherberg, Deutschland
| | - Mihovil Dzolan
- Institut für Epidemiologie, Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt, Ingolstädter Landstr. 1, 85764, Neuherberg, Deutschland
- Fakultät für Sport- und Gesundheitswissenschaften, Technische Universität München, München, Deutschland
| | - Gabriele Bolte
- Institut für Public Health und Pflegeforschung, Abteilung Sozialepidemiologie, Universität Bremen, Bremen, Deutschland
| | - Tobia Lakes
- Geographisches Institut, Humboldt-Universität zu Berlin, Berlin, Deutschland
| | - Tamara Schikowski
- IUF - Leibniz-Institut für Umweltmedizinische Forschung, Düsseldorf, Deutschland
| | - Karin Halina Greiser
- Abteilung Epidemiologie von Krebserkrankungen, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
- Institut für Medizinische Epidemiologie, Biometrie und Informatik, Martin-Luther-Universität Halle-Wittenberg, Halle (Saale), Deutschland
| | - Oliver Kuß
- Deutsches Diabetes-Zentrum (DDZ), Institut für Biometrie und Epidemiologie, Leibniz-Zentrum für Diabetes-Forschung an der Heinrich-Heine-Universität, Düsseldorf, 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
| | - Heiko Becher
- Institut für Medizinische Biometrie und Epidemiologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland
| | - Klaus Berger
- Institut für Epidemiologie und Sozialmedizin, Universität Münster, Münster, Deutschland
| | - Hermann Brenner
- Abteilung Klinische Epidemiologie und Alternsforschung, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | - Stefanie Castell
- Abteilung für Epidemiologie, Helmholtz-Zentrum für Infektionsforschung (HZI), Braunschweig, Deutschland
| | - Antje Damms-Machado
- Abteilung Epidemiologie von Krebserkrankungen, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | - Beate Fischer
- Institut für Epidemiologie und Präventivmedizin, Universität Regensburg, Regensburg, Deutschland
| | - Claus-Werner Franzke
- Institut für Prävention und Tumorepidemiologie, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland
| | - Sylvia Gastell
- Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke, NAKO Studienzentrum, Nuthetal, 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
| | - 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
| | - Yvonne Kemmling
- Abteilung für Epidemiologie, Helmholtz-Zentrum für Infektionsforschung (HZI), Braunschweig, Deutschland
| | - Lilian Krist
- Institut für Sozialmedizin, Epidemiologie und Gesundheitsökonomie, Charité - Universitätsmedizin Berlin, Berlin, Deutschland
| | - Nicole Legath
- Institut für Epidemiologie und Sozialmedizin, Universität Münster, Münster, Deutschland
| | - Michael Leitzmann
- Institut für Epidemiologie und Präventivmedizin, Universität Regensburg, Regensburg, Deutschland
| | - Wolfgang Lieb
- Institut für Epidemiologie, Christian-Albrechts-Universität zu Kiel, Kiel, Deutschland
| | - Markus Loeffler
- Leipziger Forschungszentrum für Zivilisationserkrankungen (LIFE), Universität Leipzig, Leipzig, Deutschland
- Institut für Medizinische Informatik, Statistik, und Epidemiologie (IMISE), Universität Leipzig, Leipzig, Deutschland
| | - Claudia Meinke-Franze
- Institut für Community Medicine, Universitätsmedizin Greifswald, Greifswald, 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
| | - Susanne Moebus
- Institut für medizinische Informatik, Biometrie und Epidemiologie, Universität Duisburg-Essen, Essen, Deutschland
| | - Ulrich Mueller
- Bundesinstitut für Bevölkerungsforschung, Wiesbaden, Deutschland
| | - Nadia Obi
- Institut für Medizinische Biometrie und Epidemiologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland
| | - Tobias Pischon
- Forschergruppe Molekulare Epidemiologie, Max-Delbrück-Centrum für Molekulare Medizin in der Helmholtz-Gemeinschaft (MDC), Berlin, Deutschland
- Charité - Universitätsmedizin Berlin, Berlin, Deutschland
- Deutsches Zentrum für Herz-Kreislauf-Forschung (DZHK), Partnerstandort Berlin, Berlin, Deutschland
- MDC/BIH Biobank, Max-Delbrück-Centrum für Molekulare Medizin in der Helmholtz-Gemeinschaft (MDC) und Berlin Institute of Health (BIH), Berlin, Deutschland
| | - Wolfgang Rathmann
- Deutsches Diabetes-Zentrum (DDZ), Institut für Biometrie und Epidemiologie, Leibniz-Zentrum für Diabetes-Forschung an der Heinrich-Heine-Universität, Düsseldorf, Deutschland
| | - Sabine Schipf
- Institut für Community Medicine, Universitätsmedizin Greifswald, Greifswald, Deutschland
| | - Börge Schmidt
- Institut für medizinische Informatik, Biometrie und Epidemiologie, Universität Duisburg-Essen, Essen, Deutschland
| | - Matthias Schulze
- Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke, Nuthetal, Deutschland
| | - Inke Thiele
- Institut für Epidemiologie, Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt, Ingolstädter Landstr. 1, 85764, Neuherberg, Deutschland
| | - Sigrid Thierry
- Institut für Epidemiologie, Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt, Ingolstädter Landstr. 1, 85764, Neuherberg, Deutschland
- NAKO Studienzentrum, Universitätsklinikum Augsburg, Augsburg, Deutschland
| | - Sabina Waniek
- Institut für Epidemiologie, Christian-Albrechts-Universität zu Kiel, Kiel, Deutschland
| | - Claudia Wigmann
- IUF - Leibniz-Institut für Umweltmedizinische Forschung, Düsseldorf, Deutschland
| | - Kerstin Wirkner
- Leipziger Forschungszentrum für Zivilisationserkrankungen (LIFE), Universität Leipzig, Leipzig, Deutschland
- Institut für Medizinische Informatik, Statistik, und Epidemiologie (IMISE), Universität Leipzig, Leipzig, Deutschland
| | - Johannes Zschocke
- Institut für Medizinische Epidemiologie, Biometrie und Informatik, Martin-Luther-Universität Halle-Wittenberg, Halle (Saale), Deutschland
- Institut für Physik, Martin-Luther-Universität Halle-Wittenberg, Halle (Saale), Deutschland
| | - Annette Peters
- Institut für Epidemiologie, Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt, Ingolstädter Landstr. 1, 85764, Neuherberg, Deutschland
- Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität München, München, Deutschland
| | - Alexandra Schneider
- Institut für Epidemiologie, Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt, Ingolstädter Landstr. 1, 85764, Neuherberg, Deutschland
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31
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Kluttig A, Zschocke J, Haerting J, Schmermund A, Gastell S, Steindorf K, Herbolsheimer F, Hillreiner A, Jochem C, Baumeister S, Sprengeler O, Pischon T, Jaeschke L, Michels KB, Krist L, Greiser H, Schmidt G, Lieb W, Waniek S, Becher H, Jagodzinski A, Schipf S, Völzke H, Ahrens W, Günther K, Castell S, Kemmling Y, Legath N, Berger K, Keil T, Fricke J, Schulze MB, Loeffler M, Wirkner K, Kuß O, Schikowski T, Kalinowski S, Stang A, Kaaks R, Damms Machado A, Hoffmeister M, Weber B, Franzke CW, Thierry S, Peters A, Kartschmit N, Mikolajczyk R, Fischer B, Leitzmann M, Brandes M. [Measuring physical fitness in the German National Cohort-methods, quality assurance, and first descriptive results]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2020; 63:312-321. [PMID: 32072217 DOI: 10.1007/s00103-020-03100-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Physical fitness is defined as an individual's ability to be physically active. The main components are cardiorespiratory fitness (CRF), muscle strength, and flexibility. Regardless of physical activity level, physical fitness is an important determinant of morbidity and mortality.The aim of the current study was to describe the physical fitness assessment methodology in the German National Cohort (NAKO) and to present initial descriptive results in a subsample of the cohort.In the NAKO, hand grip strength (GS) and CRF as physical fitness components were assessed at baseline using a hand dynamometer and a submaximal bicycle ergometer test, respectively. Maximum oxygen uptake (VO2max) was estimated as a result of the bicycle ergometer test. The results of a total of 99,068 GS measurements and 3094 CRF measurements are based on a data set at halftime of the NAKO baseline survey (age 20-73 years, 47% men).Males showed higher values of physical fitness compared to women (males: GS = 47.8 kg, VO2max = 36.4 ml·min-1 · kg-1; females: GS = 29.9 kg, VO2max = 32.3 ml · min-1 · kg-1). GS declined from the age of 50 onwards, whereas VO2max levels decreased continuously between the age groups of 20-29 and ≥60 years. GS and VO2max showed a linear positive association after adjustment for body weight (males β = 0.21; females β = 0.35).These results indicate that the physical fitness measured in the NAKO are comparable to other population-based studies. Future analyses in this study will focus on examining the independent relations of GS and CRF with risk of morbidity and mortality.
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Affiliation(s)
- Alexander Kluttig
- Institut für Medizinische Epidemiologie, Biometrie und Informatik, Martin-Luther-Universität Halle-Wittenberg, Magdeburger Str. 8, 06112, Halle (Saale), Deutschland.
| | - Johannes Zschocke
- Institut für Medizinische Epidemiologie, Biometrie und Informatik, Martin-Luther-Universität Halle-Wittenberg, Magdeburger Str. 8, 06112, Halle (Saale), Deutschland.,Institut für Physik, Martin-Luther-Universität Halle-Wittenberg, Halle (Saale), Deutschland
| | - Johannes Haerting
- Institut für Medizinische Epidemiologie, Biometrie und Informatik, Martin-Luther-Universität Halle-Wittenberg, Magdeburger Str. 8, 06112, Halle (Saale), Deutschland
| | | | - Sylvia Gastell
- NAKO Studienzentrum, Deutsches Institut für Ernährungsforschung, Potsdam-Rehbrücke, Deutschland
| | - Karen Steindorf
- Abteilung Bewegung, Präventionsforschung und Krebs, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | - Florian Herbolsheimer
- Abteilung Bewegung, Präventionsforschung und Krebs, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | - Andrea Hillreiner
- Institut für Epidemiologie und Präventivmedizin, Universität Regensburg, Regensburg, Deutschland
| | - Carmen Jochem
- Institut für Epidemiologie und Präventivmedizin, Universität Regensburg, Regensburg, Deutschland
| | - Sebastian Baumeister
- Lehrstuhl für Epidemiologie der LMU München, UNIKA-T, Augsburg, Deutschland.,Selbstständige Forschungsgruppe Klinische Epidemiologie, Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt, München, Deutschland
| | - Ole Sprengeler
- BIPS, Leibniz Institut für Präventionsforschung und Epidemiologie, Bremen, Deutschland
| | - Tobias Pischon
- Forschergruppe Molekulare Epidemiologie, Max-Delbrück-Centrum für Molekulare Medizin in der Helmholtz-Gemeinschaft (MDC), Berlin, Deutschland.,Charité - Universitätsmedizin Berlin, Berlin, Deutschland.,MDC/BIH Biobank, Max-Delbrück-Centrum für Molekulare Medizin in der Helmholtz-Gemeinschaft (MDC) und Berlin Institute of Health (BIH), Berlin, Deutschland.,Partnerstandort Berlin, Deutsches Zentrum für Herz-Kreislauf-Forschung (DZHK), Berlin, Deutschland
| | - Lina Jaeschke
- Forschergruppe Molekulare Epidemiologie, Max-Delbrück-Centrum für Molekulare Medizin in der Helmholtz-Gemeinschaft (MDC), Berlin, Deutschland
| | - Karin B Michels
- Institut für Prävention und Tumorepidemiologie, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland
| | - Lilian Krist
- Institut für Sozialmedizin, Epidemiologie und Gesundheitsökonomie, Charité - Universitätsmedizin Berlin, Berlin, Deutschland
| | - Halina Greiser
- Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | | | - Wolfgang Lieb
- Institut für Epidemiologie, Christian-Albrechts-Universität Kiel, Kiel, Deutschland
| | - Sabina Waniek
- Institut für Epidemiologie, Christian-Albrechts-Universität Kiel, Kiel, Deutschland
| | - Heiko Becher
- Institut für Medizinische Biometrie und Epidemiologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland
| | - Annika Jagodzinski
- Epidemiologisches Studienzentrum, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland.,Partnerstandort Hamburg, Deutsches Zentrum für Herz-Kreislauf-Forschung (DZHK), Hamburg, Deutschland
| | - Sabine Schipf
- Institut für Community Medicine, Universitätsmedizin Greifswald, Greifswald, Deutschland
| | - Henry Völzke
- Institut für Community Medicine, Universitätsmedizin Greifswald, Greifswald, Deutschland.,Partnerstandort Greifswald, Deutsches Zentrum für Herz-Kreislauf-Forschung (DZHK), Greifswald, Deutschland
| | - Wolfgang Ahrens
- BIPS, Leibniz Institut für Präventionsforschung und Epidemiologie, Bremen, Deutschland.,Institut für Statistik, Fachbereich Mathematik und Informatik, Universität Bremen, Bremen, Deutschland
| | - Kathrin Günther
- BIPS, Leibniz Institut für Präventionsforschung und Epidemiologie, Bremen, Deutschland
| | - Stefanie Castell
- Helmholtz-Zentrum für Infektionsforschung (HZI), Braunschweig, Deutschland
| | - Yvonne Kemmling
- Helmholtz-Zentrum für Infektionsforschung (HZI), Braunschweig, Deutschland
| | - Nicole Legath
- Institut für Epidemiologie und Sozialmedizin, Universität Münster, Münster, Deutschland
| | - Klaus Berger
- Institut für Epidemiologie und Sozialmedizin, Universität Münster, Münster, 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
| | - Julia Fricke
- Institut für Sozialmedizin, Epidemiologie und Gesundheitsökonomie, Charité - Universitätsmedizin Berlin, Berlin, Deutschland
| | - Matthias B Schulze
- Abteilung Molekulare Epidemiologie, Deutsches Institut für Ernährungsforschung, (DIfE), Nuthetal, Deutschland
| | - Markus Loeffler
- Institut für Medizinische Informatik, Statistik und Epidemiologie (IMISE), Universität Leipzig, Leipzig, Deutschland
| | - Kerstin Wirkner
- LIFE - Leipziger Forschungszentrum für Zivilisationserkrankungen, Universität Leipzig, Leipzig, Deutschland
| | - Oliver Kuß
- Institut für Biometrie und Epidemiologie, Deutsches Diabetes-Zentrum (DDZ), Leibniz-Zentrum für Diabetes-Forschung an der Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Deutschland
| | - Tamara Schikowski
- IUF - Leibniz-Institut für umweltmedizinische Forschung, Düsseldorf, Deutschland
| | - Sonja Kalinowski
- Institut für Medizinische Informatik, Biometrie und Epidemiologie (IMIBE), Universitätsklinikum Essen, Essen, Deutschland
| | - Andreas Stang
- Institut für Medizinische Informatik, Biometrie und Epidemiologie (IMIBE), Universitätsklinikum Essen, Essen, Deutschland
| | - Rudolf Kaaks
- Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | | | - Michael Hoffmeister
- Abteilung Klinische Epidemiologie und Alternsforschung, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | | | - Claus-Werner Franzke
- Institut für Prävention und Tumorepidemiologie, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland
| | - Sigrid Thierry
- Institut für Epidemiologie, Helmholtz Zentrum München, Neuherberg, Deutschland
| | - Anette Peters
- Institut für Epidemiologie, Helmholtz Zentrum München, Neuherberg, Deutschland
| | - Nadja Kartschmit
- Institut für Medizinische Epidemiologie, Biometrie und Informatik, Martin-Luther-Universität Halle-Wittenberg, Magdeburger Str. 8, 06112, Halle (Saale), Deutschland
| | - Rafael Mikolajczyk
- Institut für Medizinische Epidemiologie, Biometrie und Informatik, Martin-Luther-Universität Halle-Wittenberg, Magdeburger Str. 8, 06112, Halle (Saale), Deutschland
| | - Beate Fischer
- Institut für Epidemiologie und Präventivmedizin, Universität Regensburg, Regensburg, Deutschland
| | - Michael Leitzmann
- Institut für Epidemiologie und Präventivmedizin, Universität Regensburg, Regensburg, Deutschland
| | - Mirko Brandes
- BIPS, Leibniz Institut für Präventionsforschung und Epidemiologie, Bremen, Deutschland
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Wiessner C, Keil T, Krist L, Zeeb H, Dragano N, Schmidt B, Ahrens W, Berger K, Castell S, Fricke J, Führer A, Gastell S, Greiser H, Guo F, Jaeschke L, Jochem C, Jöckel KH, Kaaks R, Koch-Gallenkamp L, Krause G, Kuss O, Legath N, Leitzmann M, Lieb W, Meinke-Franze C, Meisinger C, Mikolajczyk R, Obi N, Pischon T, Schipf S, Schmoor C, Schramm S, Schulze MB, Sowarka N, Waniek S, Wigmann C, Willich SN, Becher H. [Persons with migration background in the German National Cohort (NAKO)-sociodemographic characteristics and comparisons with the German autochthonous population]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2020; 63:279-289. [PMID: 32034443 DOI: 10.1007/s00103-020-03097-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
BACKGROUND Persons with a migration background (PmM) as a population group usually differ from the autochthonous population in terms of morbidity, mortality, and use of the health care system, but they participate less frequently in health studies. The PmM group is very heterogeneous, which has hardly been taken into account in studies so far. OBJECTIVES Sociodemographic characteristics of PmM in the NAKO health study (age, sex, time since migration, education) are presented. In addition, it is examined through an example whether migration background is related to the use of cancer screening for colorectal cancer (hemoccult test). METHODS Data of the first 101,816 persons of the NAKO were analyzed descriptively and cartographically. The migration background was assigned on the basis of the definition of the Federal Statistical Office, based on nationality, country of birth, year of entry, and country of birth of the parents. RESULTS Overall, the PmM proportion is 16.0%. The distribution across the 18 study centers varies considerably between 6% (Neubrandenburg) and 33% (Düsseldorf). With 153 countries of origin, most countries are represented in the NAKO. All variables show clear differences between the different regions of origin. In the hemoccult test, persons of Turkish origin (OR = 0.67) and resettlers (OR = 0.60) have a lower participation rate. PmM born in Germany do not differ in this respect from the autochthonous population (OR = 0.99). CONCLUSION PmM in the NAKO are a very heterogeneous group. However, due to the sample size, individual subgroups of migrants can be studied separately with respect to region of origin.
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Affiliation(s)
- Christian Wiessner
- Institut für Medizinische Biometrie und Epidemiologie, Universitätsklinikum Hamburg-Eppendorf, Martinistr. 52, 20251, Hamburg, 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
| | - Lilian Krist
- Institut für Sozialmedizin, Epidemiologie und Gesundheitsökonomie, Charité - Universitätsmedizin Berlin, Berlin, Deutschland
| | - Hajo Zeeb
- Leibniz-Institut für Präventionsforschung und Epidemiologie - BIPS, Bremen, Deutschland.,Health Sciences Bremen, Universität Bremen, Bremen, Deutschland
| | - Nico Dragano
- Institut für Medizinische Soziologie, Centre for Health and Society, Medizinische Fakultät, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Deutschland
| | - Börge Schmidt
- Medizinische Informatik, Biometrie und Epidemiologie (IMIBE), Medizinische Fakultät, Universitätsklinikum Essen, Universität Duisburg-Essen, Essen, Deutschland
| | - Wolfgang Ahrens
- Leibniz-Institut für Präventionsforschung und Epidemiologie - BIPS, Bremen, Deutschland.,Institut für Statistik, Fachbereich Mathematik und Informatik, Universität Bremen, Bremen, Deutschland
| | - Klaus Berger
- Institut für Epidemiologie und Sozialmedizin, Universität Münster, Münster, Deutschland
| | - Stefanie Castell
- Abteilung für Epidemiologie, Helmholtz-Zentrum für Infektionsforschung (HZI), Braunschweig, Deutschland
| | - Julia Fricke
- Institut für Sozialmedizin, Epidemiologie und Gesundheitsökonomie, Charité - Universitätsmedizin Berlin, Berlin, Deutschland
| | - Amand Führer
- Institut für Medizinische Epidemiologie, Biometrie und Informatik (IMEBI), Medizinische Fakultät, Martin-Luther-Universität Halle-Wittenberg, Halle, Deutschland
| | - Sylvia Gastell
- NAKO Studienzentrum, Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke, Nuthetal, Deutschland
| | - Halina Greiser
- Abteilung Epidemiologie von Krebserkrankungen, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | - Feng Guo
- Abteilung Klinische Epidemiologie und Alternsforschung, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | - Lina Jaeschke
- Forschergruppe Molekulare Epidemiologie, Max-Delbrück-Centrum für Molekulare Medizin in der Helmholtz-Gemeinschaft (MDC), Berlin, Deutschland
| | - Carmen Jochem
- Institut für Epidemiologie und Präventivmedizin, Universität Regensburg, Regensburg, Deutschland
| | - Karl-Heinz Jöckel
- Medizinische Informatik, Biometrie und Epidemiologie (IMIBE), Medizinische Fakultät, Universitätsklinikum Essen, Universität Duisburg-Essen, Essen, Deutschland
| | - Rudolf Kaaks
- Abteilung Epidemiologie von Krebserkrankungen, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | - Lena Koch-Gallenkamp
- Abteilung Klinische Epidemiologie und Alternsforschung, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | - Gérard Krause
- Abteilung für Epidemiologie, Helmholtz-Zentrum für Infektionsforschung (HZI), Braunschweig, Deutschland.,Medizinische Hochschule Hannover (MHH), Hannover, 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
| | - Michael Leitzmann
- Institut für Epidemiologie und Präventivmedizin, Universität Regensburg, Regensburg, Deutschland
| | - Wolfgang Lieb
- Institut für Epidemiologie, Christian-Albrechts-Universität zu Kiel, Kiel, Deutschland
| | - Claudia Meinke-Franze
- Institut für Community Medicine, Universitätsmedizin Greifswald, Greifswald, Deutschland
| | - Christa Meisinger
- SFG Klinische Epidemiologie, Helmholtz Zentrum München, Neuherberg, Deutschland.,Lehrstuhl für Epidemiologie am UNIKA-T Augsburg, Ludwig-Maximilians-Universität München, Augsburg, Deutschland.,NAKO Studienzentrum, Universitätsklinikum Augsburg, Augsburg, Deutschland
| | - Rafael Mikolajczyk
- Institut für Medizinische Epidemiologie, Biometrie und Informatik (IMEBI), Medizinische Fakultät, Martin-Luther-Universität Halle-Wittenberg, Halle, Deutschland
| | - Nadia Obi
- Institut für Medizinische Biometrie und Epidemiologie, Universitätsklinikum Hamburg-Eppendorf, Martinistr. 52, 20251, Hamburg, 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
| | - Sabine Schipf
- Institut für Community Medicine, Universitätsmedizin Greifswald, Greifswald, Deutschland
| | - Claudia Schmoor
- Zentrum Klinische Studien, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland
| | - Sara Schramm
- Medizinische Informatik, Biometrie und Epidemiologie (IMIBE), Medizinische Fakultät, Universitätsklinikum Essen, Universität Duisburg-Essen, Essen, Deutschland
| | - Matthias B Schulze
- Abteilung Molekulare Epidemiologie, Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke, Nuthetal, Deutschland
| | - Nicole Sowarka
- NAKO Studienzentrum, Universitätsklinikum Augsburg, Augsburg, Deutschland.,Institut für Epidemiologie, Helmholtz Zentrum München, Neuherberg, Deutschland
| | - Sabina Waniek
- Institut für Epidemiologie, Christian-Albrechts-Universität zu Kiel, Kiel, Deutschland
| | - Claudia Wigmann
- IUF-Leibniz Institut für umweltmedizinische Forschung, Düsseldorf, Deutschland
| | - Stefan N Willich
- Institut für Sozialmedizin, Epidemiologie und Gesundheitsökonomie, Charité - Universitätsmedizin Berlin, Berlin, Deutschland
| | - Heiko Becher
- Institut für Medizinische Biometrie und Epidemiologie, Universitätsklinikum Hamburg-Eppendorf, Martinistr. 52, 20251, Hamburg, Deutschland
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Caputo M, Horn J, Karch A, Akmatov MK, Becher H, Braun B, Brenner H, Castell S, Fischer B, Giani G, Günther K, Hoffmann B, Jöckel KH, Keil T, Klüppelholz B, Krist L, Leitzmann MF, Lieb W, Linseisen J, Meisinger C, Moebus S, Obi N, Pischon T, Schipf S, Schmidt B, Sievers C, Steinbrecher A, Völzke H, Mikolajczyk R. Herpes zoster incidence in Germany - an indirect validation study for self-reported disease data from pretest studies of the population-based German National Cohort. BMC Infect Dis 2019; 19:99. [PMID: 30700258 PMCID: PMC6354372 DOI: 10.1186/s12879-019-3691-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2017] [Accepted: 01/08/2019] [Indexed: 11/10/2022] Open
Abstract
Background Until now, herpes zoster (HZ)-related disease burden in Germany has been estimated based on health insurance data and clinical findings. However, the validity of self-reported HZ is unclear. This study investigated the validity of self-reported herpes zoster (HZ) and its complication postherpetic neuralgia (PHN) using data from the pretest studies of the German National Cohort (GNC) in comparison with estimates based on health insurance data. Methods Data of 4751 participants aged between 20 and 69 years from two pretest studies of the GNC carried out in 2011 and 2012 were used. Based on self-reports of physician-diagnosed HZ and PHN, age- and sex-specific HZ incidence rates and PHN proportions were estimated. For comparison, estimates based on statutory health insurance data from the German population were considered. Results Eleven percent (95%-CI, 10.4 to 12.3, n = 539) of the participants reported at least one HZ episode in their lifetime. Our estimated age-specific HZ incidence rates were lower than previous estimates based on statutory health insurance data. The PHN proportion in participants older than 50 years was 5.9% (1.9 to 13.9%), which was in line with estimates based on health insurance data. Conclusion As age- and sex-specific patterns were comparable with that in health insurance data, self-reported diagnosis of HZ seems to be a valid instrument for overall disease trends. Possible reasons for observed differences in incidence rates are recall bias in self-reported data or overestimation in health insurance data. Electronic supplementary material The online version of this article (10.1186/s12879-019-3691-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Mahrrouz Caputo
- Department of Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstraße 7, 38124, Braunschweig, Germany
| | - Johannes Horn
- Institute for Medical Epidemiology, Biometry, and Informatics (IMEBI), Medical Faculty of the Martin Luther University Halle-Wittenberg, Magdeburger Str. 8, 06110, Halle (Saale), Germany
| | - André Karch
- Department of Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstraße 7, 38124, Braunschweig, Germany.,German Centre for Infection Research (DZIF), Hannover-Braunschweig site, Braunschweig, Germany.,Institute for Epidemiology and Social Medicine, University of Münster, Domagkstraße 3, 48149, Münster, Germany
| | - Manas K Akmatov
- Department of Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstraße 7, 38124, Braunschweig, Germany.,TWINCORE, Centre for Experimental and Clinical Infection Research, Hannover, Germany
| | - Heiko Becher
- Institute of Public Health, University Hospital Heidelberg, Im Neuenheimer Feld 324, 69120, Heidelberg, Germany.,Institute for Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
| | - Bettina Braun
- Institute for Epidemiology and Social Medicine, University of Münster, Domagkstraße 3, 48149, Münster, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany.,Network Aging Research University of Heidelberg, Bergheimer Straße 20, 69115, Heidelberg, Germany
| | - Stefanie Castell
- Department of Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstraße 7, 38124, Braunschweig, Germany
| | - Beate Fischer
- Department of Epidemiology and Preventive Medicine, University Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| | - Guido Giani
- German Diabetes Center (DDZ), Leibniz Research for Diabetes, Auf'm Hennekamp 65, 40225, Düsseldorf, Germany
| | - Kathrin Günther
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstraße 30, 28359, Bremen, Germany
| | - Barbara Hoffmann
- Institute for Occupational, Social and Environmental Medicine, Heinrich-Heine-University of Düsseldorf, POB 101007, 40001, Düsseldorf, Germany
| | - Karl-Heinz Jöckel
- Institute of Medical Informatics, Biometry and Epidemiology, University Hospital Essen, Hufelandstraße 55, 45147, Essen, Germany
| | - Thomas Keil
- Institute for Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Luisenstraße 57, 10117, Berlin, Germany
| | - Birgit Klüppelholz
- German Diabetes Center (DDZ), Leibniz Research for Diabetes, Auf'm Hennekamp 65, 40225, Düsseldorf, Germany
| | - Lilian Krist
- Institute for Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Luisenstraße 57, 10117, Berlin, Germany
| | - Michael F Leitzmann
- Department of Epidemiology and Preventive Medicine, University Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology, Christian-Albrechts-University Kiel, Niemannsweg 11, 24105, Kiel, Germany
| | - Jakob Linseisen
- Helmholtz Zentrum Munich, German Research Center for Environmental Health, Institute of Epidemiology II, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.,Chair of Epidemiology, LMU Munich, UNIKA-T, Neusässer Straße 47, 86156 , Augsburg, Germany
| | - Christa Meisinger
- Helmholtz Zentrum Munich, German Research Center for Environmental Health, Institute of Epidemiology II, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
| | - Susanne Moebus
- Centre of Urban Epidemiology, Institute of Medical Informatics, Biometry and Epidemiology, University Hospital Essen, Hufelandstraße 55, 45147, Essen, Germany
| | - Nadia Obi
- Department of Cancer Epidemiology/Clinical Cancer Registry and Institute for Medical Biometrics and Epidemiology, University Clinic Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
| | - Tobias Pischon
- Molecular Epidemiology Research Group, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Robert-Rössle-Straße 10, 13125, Berlin-Buch, Germany
| | - Sabine Schipf
- Institute for Community Medicine, University Medicine Greifswald, University Medicine Greifswald, Walther-Rathenau-Str. 48, 17475, Greifswald, Germany
| | - Börge Schmidt
- Institute of Medical Informatics, Biometry and Epidemiology, University Hospital Essen, Hufelandstraße 55, 45147, Essen, Germany
| | - Claudia Sievers
- Department of Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstraße 7, 38124, Braunschweig, Germany
| | - Astrid Steinbrecher
- Molecular Epidemiology Research Group, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Robert-Rössle-Straße 10, 13125, Berlin-Buch, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, University Medicine Greifswald, Walther-Rathenau-Str. 48, 17475, Greifswald, Germany
| | - Rafael Mikolajczyk
- Institute for Medical Epidemiology, Biometry, and Informatics (IMEBI), Medical Faculty of the Martin Luther University Halle-Wittenberg, Magdeburger Str. 8, 06110, Halle (Saale), Germany. .,German Centre for Infection Research (DZIF), Hannover-Braunschweig site, Braunschweig, Germany.
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Rübsamen N, Akmatov MK, Castell S, Karch A, Mikolajczyk RT. Factors associated with attrition in a longitudinal online study: results from the HaBIDS panel. BMC Med Res Methodol 2017; 17:132. [PMID: 28859617 PMCID: PMC5580321 DOI: 10.1186/s12874-017-0408-3] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Accepted: 08/21/2017] [Indexed: 11/10/2022] Open
Abstract
Background Knowing about predictors of attrition in a panel is important to initiate early measures against loss of participants. We investigated attrition in both early and late phase of an online panel with special focus on preferences regarding mode of participation. Methods We used data from the HaBIDS panel that was designed to investigate knowledge, attitudes, and practice regarding infections in the German general population. HaBIDS was divided into two phases: an initial phase when some participants could choose their preferred mode of participation (paper-and-pencil or online) and an extended phase when participants were asked to become members of an online panel that was not limited regarding its duration (i.e. participants initially preferring paper questionnaires switched to online participation). Using competing risks regression, we investigated two types of attrition (formal withdrawal and discontinuation without withdrawal) among online participants, separately for both phases. As potential predictors of attrition, we considered sociodemographic characteristics, physical and mental health as well as auxiliary information describing the survey process, and, in the extended phase, initial mode preference. Results In the initial phase, higher age and less frequent Internet usage predicted withdrawal, while younger age, higher stress levels, delay in returning the consent form, and need for receiving reminder emails predicted discontinuation. In the extended phase, only need for receiving reminder emails predicted discontinuation. Numbers of withdrawal in the extended phase were too small for analysis. Initial mode preference did not predict attrition in the extended phase. Besides age, there was no evidence of differential attrition by sociodemographic factors in any phase. Conclusions Predictors of attrition were similar in both phases of the panel, but they differed by type of attrition (withdrawal vs. discontinuation). Sociodemographic characteristics only played a minor role for both types of attrition. Need for receiving a reminder was the strongest predictor of discontinuation in any phase, but no predictor of withdrawal. We found predictors of attrition, which can be identified already in the early phase of a panel so that countermeasures (e.g. special incentives) can be taken. Electronic supplementary material The online version of this article (10.1186/s12874-017-0408-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Nicole Rübsamen
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Inhoffenstraße 7, 38124, Braunschweig, Germany.,PhD Programme "Epidemiology", Braunschweig-Hannover, Germany
| | - Manas K Akmatov
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Inhoffenstraße 7, 38124, Braunschweig, Germany.,AG "Biomarkers for Infectious Diseases", TWINCORE, Centre for Experimental and Clinical Infection Research, Feodor-Lynen-Str. 7, 30625, Hannover, Germany.,Centre for Individualized Infection Medicine, Hannover, Germany
| | - Stefanie Castell
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Inhoffenstraße 7, 38124, Braunschweig, Germany.,AG "Biomarkers for Infectious Diseases", TWINCORE, Centre for Experimental and Clinical Infection Research, Feodor-Lynen-Str. 7, 30625, Hannover, Germany
| | - André Karch
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Inhoffenstraße 7, 38124, Braunschweig, Germany.,PhD Programme "Epidemiology", Braunschweig-Hannover, Germany
| | - Rafael T Mikolajczyk
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Inhoffenstraße 7, 38124, Braunschweig, Germany. .,Hannover Medical School, Hannover, Germany. .,Institute for Medical Epidemiology, Biometry, and Informatics (IMEBI), Medical Faculty of the Martin Luther University Halle-Wittenberg, Magdeburger Straße 8, 06110, Halle (Saale), Germany.
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Castell S, Simon S, Kerrinnes T, Ott JJ. Selbstentnahme von Blut in epidemiologischen Studien: Machbarkeit und Akzeptanz. Das Gesundheitswesen 2017. [DOI: 10.1055/s-0037-1605853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- S Castell
- HZI, Epidemiologie, Braunschweig
- Deutsches Zentrum für Infektionsforschung (DZIF), Braunschweig
| | - S Simon
- HZI, Epidemiologie, Braunschweig
| | - T Kerrinnes
- HZI, Epidemiologie, Braunschweig
- Deutsches Zentrum für Infektionsforschung (DZIF), Braunschweig
| | - JJ Ott
- HZI, Epidemiologie, Braunschweig
- Deutsches Zentrum für Infektionsforschung (DZIF), Braunschweig
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Glöckner S, Schäfer F, Rübsamen N, Krause G, Castell S. Acceptance of self-reporting technologies and self-sampling of biospecimen in infectious disease epidemiology: a survey in Lower Saxony. Das Gesundheitswesen 2017. [DOI: 10.1055/s-0037-1605993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- S Glöckner
- German Center for Infection Research (DZIF), Braunschweig
| | - F Schäfer
- Helmholtz Center for Infection Research, Epidemiology, Braunschweig
| | - N Rübsamen
- Helmholtz Center for Infection Research, Epidemiology, Braunschweig
| | - G Krause
- Helmholtz Center for Infection Research, Epidemiology, Braunschweig
- Twincore, Centre for Experimental and Clinical Infections Research, Hanover
- Hanover Medical School (MHH), Hanover
| | - S Castell
- Helmholtz Center for Infection Research, Epidemiology, Braunschweig
- Twincore, Centre for Experimental and Clinical Infections Research, Hanover
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Garcia Voges B, Karch A, Rübsamen N, Smieszek T, Castell S, Mikolajczyk R. Determinanten der Gerechtigkeitswahrnehmung bei der Allokation knapper medizinischer Ressourcen: Auswertung eines faktoriellen Surveys. Das Gesundheitswesen 2017. [DOI: 10.1055/s-0037-1605686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- B Garcia Voges
- Helmholtz-Zentrum für Infektionsforschung, ESME – Epidemiologische und Statistische Methoden, Braunschweig
| | - A Karch
- Helmholtz-Zentrum für Infektionsforschung, ESME – Epidemiologische und Statistische Methoden, Braunschweig
- PhD-Studiengang Epidemiologie, Braunschweig-Hannover
- Medizinische Hochschule Hannover, Hannover
| | - N Rübsamen
- Helmholtz-Zentrum für Infektionsforschung, ESME – Epidemiologische und Statistische Methoden, Braunschweig
- PhD-Studiengang Epidemiologie, Braunschweig-Hannover
| | - T Smieszek
- Public Health England, National Infection Service, London
- Imperial College School of Public Health, Department of Infectious Disease Epidemiology, London
- The Pennsylvania State University, Center for Infectious Disease Dynamics, University Park
| | - S Castell
- Helmholtz-Zentrum für Infektionsforschung, Abteilung für Epidemiologie, Braunschweig
| | - R Mikolajczyk
- Helmholtz-Zentrum für Infektionsforschung, ESME – Epidemiologische und Statistische Methoden, Braunschweig
- Medizinische Hochschule Hannover, Hannover
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Karo B, Krause G, Castell S, Kollan C, Hamouda O, Haas W. Immunological recovery in tuberculosis/HIV co-infected patients on antiretroviral therapy: implication for tuberculosis preventive therapy. BMC Infect Dis 2017; 17:517. [PMID: 28743248 PMCID: PMC5526303 DOI: 10.1186/s12879-017-2627-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2017] [Accepted: 07/21/2017] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Understanding the immune response to combination antiretroviral therapy (cART) is essential for a clear approach to tuberculosis (TB) preventive therapy. We investigated the immunological recovery in cART-treated HIV-infected patients developing TB compared to those who remained free of TB. METHODS We extracted data of HIV-infected patients from a multicenter cohort for the HIV clinical surveillance in Germany. No patients included in our study had TB at the beginning of the observation. Using a longitudinal mixed model, we assessed the differences in the mean change of biomarkers (CD4+ cell count, CD8+ cell count, CD4:CD8 ratio and viral load) since cART initiation in patients who remained free of TB vs. those developing TB. To detect the best-fit trajectories of the immunological biomarkers, we applied a multivariable fractional polynomials model. RESULTS We analyzed a total of 10,671 HIV-infected patients including 139 patients who developed TB during follow-up. The highest TB incidences were observed during the first two years since cART initiation (0.32 and 0.50 per 100 person-years). In an adjusted multivariable mixed model, we found that the average change in CD4+ cell count recovery was significantly greater by 33 cells/μl in patients who remained free of TB compared with those developing TB. After the initial three months of cART, 65.6% of patients who remaining free of TB achieved CD4+ count of ≥400 cells/μl, while only 11.3% of patients developing TB reached this immunological status after the three months of cART. We found no differences in the average change of CD8+ cell count, CD4:CD8 ratio or viral load between the two-patient groups. CONCLUSION All HIV-infected patients responded to cART. However, patients developing TB showed reduced recovery in CD4+ cell count and this might partly explain the incident TB in HIV-infected patients receiving cART. These findings reinforce the importance of adjunctive TB preventive therapy for patients with reduced recovery in CD4+ cell count.
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Affiliation(s)
- Basel Karo
- Department for Infectious Disease Epidemiology, Robert Koch Institute (RKI), Seestr. 10, 13353, Berlin, Germany. .,PhD Programme, "Epidemiology", Braunschweig-Hannover, Germany.
| | - Gérard Krause
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany.,Hannover Medical School (MHH), Hannover, Germany
| | - Stefanie Castell
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
| | - Christian Kollan
- Department for Infectious Disease Epidemiology, Robert Koch Institute (RKI), Seestr. 10, 13353, Berlin, Germany
| | - Osamah Hamouda
- Department for Infectious Disease Epidemiology, Robert Koch Institute (RKI), Seestr. 10, 13353, Berlin, Germany
| | - Walter Haas
- Department for Infectious Disease Epidemiology, Robert Koch Institute (RKI), Seestr. 10, 13353, Berlin, Germany
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Obenauer J, Rübsamen N, Castell S, Hoodgarzadeh M, Klett-Tammen CJ, Mikolajczyk RT, Karch A. Perceptions of Zika virus risk in Germany in 2016. Eur J Public Health 2017; 28:139-144. [DOI: 10.1093/eurpub/ckx092] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
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Rübsamen N, Akmatov MK, Castell S, Karch A, Mikolajczyk RT. Comparison of response patterns in different survey designs: a longitudinal panel with mixed-mode and online-only design. Emerg Themes Epidemiol 2017; 14:4. [PMID: 28344629 PMCID: PMC5361716 DOI: 10.1186/s12982-017-0058-2] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2016] [Accepted: 03/09/2017] [Indexed: 11/10/2022] Open
Abstract
Background Increasing availability of the Internet allows using only online data collection for more epidemiological studies. We compare response patterns in a population-based health survey using two survey designs: mixed-mode (choice between paper-and-pencil and online questionnaires) and online-only design (without choice). Methods We used data from a longitudinal panel, the Hygiene and Behaviour Infectious Diseases Study (HaBIDS), conducted in 2014/2015 in four regions in Lower Saxony, Germany. Individuals were recruited using address-based probability sampling. In two regions, individuals could choose between paper-and-pencil and online questionnaires. In the other two regions, individuals were offered online-only participation. We compared sociodemographic characteristics of respondents who filled in all panel questionnaires between the mixed-mode group (n = 1110) and the online-only group (n = 482). Using 134 items, we performed multinomial logistic regression to compare responses between survey designs in terms of type (missing, “do not know” or valid response) and ordinal regression to compare responses in terms of content. We applied the false discovery rates (FDR) to control for multiple testing and investigated effects of adjusting for sociodemographic characteristic. For validation of the differential response patterns between mixed-mode and online-only, we compared the response patterns between paper and online mode among the respondents in the mixed-mode group in one region (n = 786). Results Respondents in the online-only group were older than those in the mixed-mode group, but both groups did not differ regarding sex or education. Type of response did not differ between the online-only and the mixed-mode group. Survey design was associated with different content of response in 18 of the 134 investigated items; which decreased to 11 after adjusting for sociodemographic variables. In the validation within the mixed-mode, only two of those were among the 11 significantly different items. The probability of observing by chance the same two or more significant differences in this setting was 22%. Conclusions We found similar response patterns in both survey designs with only few items being answered differently, likely attributable to chance. Our study supports the equivalence of the compared survey designs and suggests that, in the studied setting, using online-only design does not cause strong distortion of the results. Electronic supplementary material The online version of this article (doi:10.1186/s12982-017-0058-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Nicole Rübsamen
- Department of Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124 Brunswick, Germany.,PhD Programme "Epidemiology", Brunswick-Hanover, Germany
| | - Manas K Akmatov
- Department of Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124 Brunswick, Germany.,TWINCORE, Centre for Experimental and Clinical Infection Research, Feodor-Lynen-Str. 7, 30625 Hanover, Germany
| | - Stefanie Castell
- Department of Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124 Brunswick, Germany.,TWINCORE, Centre for Experimental and Clinical Infection Research, Feodor-Lynen-Str. 7, 30625 Hanover, Germany
| | - André Karch
- Department of Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124 Brunswick, Germany.,PhD Programme "Epidemiology", Brunswick-Hanover, Germany
| | - Rafael T Mikolajczyk
- Department of Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124 Brunswick, Germany.,Hannover Medical School, Hanover, Germany
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Zapf A, Castell S, Morawietz L, Karch A. Measuring inter-rater reliability for nominal data - which coefficients and confidence intervals are appropriate? BMC Med Res Methodol 2016; 16:93. [PMID: 27495131 PMCID: PMC4974794 DOI: 10.1186/s12874-016-0200-9] [Citation(s) in RCA: 132] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2016] [Accepted: 07/28/2016] [Indexed: 12/24/2022] Open
Abstract
Background Reliability of measurements is a prerequisite of medical research. For nominal data, Fleiss’ kappa (in the following labelled as Fleiss’ K) and Krippendorff’s alpha provide the highest flexibility of the available reliability measures with respect to number of raters and categories. Our aim was to investigate which measures and which confidence intervals provide the best statistical properties for the assessment of inter-rater reliability in different situations. Methods We performed a large simulation study to investigate the precision of the estimates for Fleiss’ K and Krippendorff’s alpha and to determine the empirical coverage probability of the corresponding confidence intervals (asymptotic for Fleiss’ K and bootstrap for both measures). Furthermore, we compared measures and confidence intervals in a real world case study. Results Point estimates of Fleiss’ K and Krippendorff’s alpha did not differ from each other in all scenarios. In the case of missing data (completely at random), Krippendorff’s alpha provided stable estimates, while the complete case analysis approach for Fleiss’ K led to biased estimates. For shifted null hypotheses, the coverage probability of the asymptotic confidence interval for Fleiss’ K was low, while the bootstrap confidence intervals for both measures provided a coverage probability close to the theoretical one. Conclusions Fleiss’ K and Krippendorff’s alpha with bootstrap confidence intervals are equally suitable for the analysis of reliability of complete nominal data. The asymptotic confidence interval for Fleiss’ K should not be used. In the case of missing data or data or higher than nominal order, Krippendorff’s alpha is recommended. Together with this article, we provide an R-script for calculating Fleiss’ K and Krippendorff’s alpha and their corresponding bootstrap confidence intervals. Electronic supplementary material The online version of this article (doi:10.1186/s12874-016-0200-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Antonia Zapf
- Department of Medical Statistics, University Medical Center Göttingen, Humboldtallee 32, 37073, Göttingen, Germany.
| | - Stefanie Castell
- Department of Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstrasse 7, 38124, Braunschweig, Germany
| | - Lars Morawietz
- Institute of Pathology, Diagnostik Ernst von Bergmann GmbH, Charlottenstr. 72, 14467, Potsdam, Germany
| | - André Karch
- ESME - Research Group Epidemiological and Statistical Methods, Helmholtz Centre for Infection Research, Inhoffenstrasse 7, 38124, Braunschweig, Germany.,German Center for Infection Research, Hannover-Braunschweig site, Göttingen, Germany
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Klett-Tammen CJ, Krause G, von Lengerke T, Castell S. Advising vaccinations for the elderly: a cross-sectional survey on differences between general practitioners and physician assistants in Germany. BMC Fam Pract 2016; 17:98. [PMID: 27473612 PMCID: PMC4966563 DOI: 10.1186/s12875-016-0502-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/24/2016] [Accepted: 07/21/2016] [Indexed: 11/10/2022]
Abstract
BACKGROUND In Germany, the coverage of officially recommended vaccinations for the elderly is below a desirable level. It is known that advice provided by General Practitioners and Physician Assistants influences the uptake in patients ≥60 years. Therefore, the predictors of advice-giving behavior by these professions should be investigated to develop recommendations for possible actions for improvement. METHODS We conducted a postal cross-sectional survey on knowledge, attitudes and advice - giving behavior regarding vaccinations in the elderly among General Practitioners and Physician Assistants in 4995 practices in Germany. To find specific predictors, we performed logistic regressions with non-advising on any officially recommended vaccination or on three specific vaccinations as four separate outcomes, first using all participants, then only General Practitioners and lastly only Physician Assistants as our study population. RESULTS Participants consisted of 774 General Practitioners and 563 Physician Assistants, of whom overall 21 % stated to have not advised an officially recommended vaccination in elderly patients. The most frequent explanation was having forgotten about it. The habit of not counselling on vaccinations at regular intervals was associated with not advising any vaccination (OR: 2.8), influenza vaccination (OR: 2.3), and pneumococcal vaccination (OR: 3.1). While more General Practitioners than Physician Assistants felt sufficiently informed (90 % vs. 79 %, p < 0.001), General Practitioners displayed higher odds to not advise specific vaccinations (ORs: 1.8-2.8). CONCLUSIONS To reduce the high risk of forgetting to advice on vaccinations, we recommend improving and promoting standing recall-systems, encouraging General Practitioners and Physician Assistants to counsel routinely at regular intervals regarding vaccinations, and providing Physician Assistants with better, tailor-made information on official recommendations and their changes.
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Affiliation(s)
- Carolina Judith Klett-Tammen
- Department for Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstr. 7, Braunschweig, 38124, Germany.,Institute for Epidemiology, Social Medicine and Health Systems Research, Hannover Medical School, Hannover, Germany
| | - Gérard Krause
- Department for Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstr. 7, Braunschweig, 38124, Germany.,Chair for Infectious Disease Epidemiology, Hannover Medical School, Hannover, Germany
| | - Thomas von Lengerke
- Medical Psychology Unit, Hannover Medical School, Carl-Neuberg-Str. 1, Hannover, 30625, Germany
| | - Stefanie Castell
- Department for Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstr. 7, Braunschweig, 38124, Germany.
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Smieszek T, Castell S, Barrat A, Cattuto C, White PJ, Krause G. Contact diaries versus wearable proximity sensors in measuring contact patterns at a conference: method comparison and participants' attitudes. BMC Infect Dis 2016. [PMID: 27449511 DOI: 10.1186/s12879-016-1676-y/figures/3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/14/2023] Open
Abstract
BACKGROUND Studies measuring contact networks have helped to improve our understanding of infectious disease transmission. However, several methodological issues are still unresolved, such as which method of contact measurement is the most valid. Further, complete network analysis requires data from most, ideally all, members of a network and, to achieve this, acceptance of the measurement method. We aimed at investigating measurement error by comparing two methods of contact measurement - paper diaries vs. wearable proximity sensors - that were applied concurrently to the same population, and we measured acceptability. METHODS We investigated the contact network of one day of an epidemiology conference in September 2014. Seventy-six participants wore proximity sensors throughout the day while concurrently recording their contacts with other study participants in a paper-diary; they also reported on method acceptability. RESULTS There were 329 contact reports in the paper diaries, corresponding to 199 contacts, of which 130 were noted by both parties. The sensors recorded 316 contacts, which would have resulted in 632 contact reports if there had been perfect concordance in recording. We estimated the probabilities that a contact was reported in a diary as: P = 72 % for <5 min contact duration (significantly lower than the following, p < 0.05), P = 86 % for 5-15 min, P = 89 % for 15-60 min, and P = 94 % for >60 min. The sets of sensor-measured and self-reported contacts had a large intersection, but neither was a subset of the other. Participants' aggregated contact duration was mostly substantially longer in the diary data than in the sensor data. Twenty percent of respondents (>1 reported contact) stated that filling in the diary was too much work, 25 % of respondents reported difficulties in remembering contacts, and 93 % were comfortable having their conference contacts measured by sensors. CONCLUSION Reporting and recording were not complete; reporting was particularly incomplete for contacts <5 min. The types of contact that both methods are capable of detecting are partly different. Participants appear to have overestimated the duration of their contacts. Conducting a study with diaries or wearable sensors was acceptable to and mostly easily done by participants. Both methods can be applied meaningfully if their specific limitations are considered and incompleteness is accounted for.
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Affiliation(s)
- Timo Smieszek
- NIHR Health Protection Research Unit in Modelling Methodology and MRC Outbreak Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK
- Modelling and Economics Unit, Centre for Infectious Disease Surveillance and Control, Public Health England, London, UK
| | - Stefanie Castell
- Department for Epidemiology, Helmholtz-Centre for Infection Research, Braunschweig, Germany.
| | - Alain Barrat
- Aix Marseille Université, Université de Toulon, CNRS, CPT, UMR 7332, Marseille, 13288, France
- Data Science Laboratory, ISI Foundation, Torino, Italy
| | - Ciro Cattuto
- Data Science Laboratory, ISI Foundation, Torino, Italy
| | - Peter J White
- NIHR Health Protection Research Unit in Modelling Methodology and MRC Outbreak Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK
- Modelling and Economics Unit, Centre for Infectious Disease Surveillance and Control, Public Health England, London, UK
| | - Gérard Krause
- Department for Epidemiology, Helmholtz-Centre for Infection Research, Braunschweig, Germany
- Hannover Medical School, Hannover, Germany
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Smieszek T, Castell S, Barrat A, Cattuto C, White PJ, Krause G. Contact diaries versus wearable proximity sensors in measuring contact patterns at a conference: method comparison and participants' attitudes. BMC Infect Dis 2016; 16:341. [PMID: 27449511 PMCID: PMC4957345 DOI: 10.1186/s12879-016-1676-y] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2015] [Accepted: 06/10/2016] [Indexed: 11/27/2022] Open
Abstract
Background Studies measuring contact networks have helped to improve our understanding of infectious disease transmission. However, several methodological issues are still unresolved, such as which method of contact measurement is the most valid. Further, complete network analysis requires data from most, ideally all, members of a network and, to achieve this, acceptance of the measurement method. We aimed at investigating measurement error by comparing two methods of contact measurement – paper diaries vs. wearable proximity sensors – that were applied concurrently to the same population, and we measured acceptability. Methods We investigated the contact network of one day of an epidemiology conference in September 2014. Seventy-six participants wore proximity sensors throughout the day while concurrently recording their contacts with other study participants in a paper-diary; they also reported on method acceptability. Results There were 329 contact reports in the paper diaries, corresponding to 199 contacts, of which 130 were noted by both parties. The sensors recorded 316 contacts, which would have resulted in 632 contact reports if there had been perfect concordance in recording. We estimated the probabilities that a contact was reported in a diary as: P = 72 % for <5 min contact duration (significantly lower than the following, p < 0.05), P = 86 % for 5-15 min, P = 89 % for 15-60 min, and P = 94 % for >60 min. The sets of sensor-measured and self-reported contacts had a large intersection, but neither was a subset of the other. Participants’ aggregated contact duration was mostly substantially longer in the diary data than in the sensor data. Twenty percent of respondents (>1 reported contact) stated that filling in the diary was too much work, 25 % of respondents reported difficulties in remembering contacts, and 93 % were comfortable having their conference contacts measured by sensors. Conclusion Reporting and recording were not complete; reporting was particularly incomplete for contacts <5 min. The types of contact that both methods are capable of detecting are partly different. Participants appear to have overestimated the duration of their contacts. Conducting a study with diaries or wearable sensors was acceptable to and mostly easily done by participants. Both methods can be applied meaningfully if their specific limitations are considered and incompleteness is accounted for. Electronic supplementary material The online version of this article (doi:10.1186/s12879-016-1676-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Timo Smieszek
- NIHR Health Protection Research Unit in Modelling Methodology and MRC Outbreak Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK.,Modelling and Economics Unit, Centre for Infectious Disease Surveillance and Control, Public Health England, London, UK
| | - Stefanie Castell
- Department for Epidemiology, Helmholtz-Centre for Infection Research, Braunschweig, Germany.
| | - Alain Barrat
- Aix Marseille Université, Université de Toulon, CNRS, CPT, UMR 7332, Marseille, 13288, France.,Data Science Laboratory, ISI Foundation, Torino, Italy
| | - Ciro Cattuto
- Data Science Laboratory, ISI Foundation, Torino, Italy
| | - Peter J White
- NIHR Health Protection Research Unit in Modelling Methodology and MRC Outbreak Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK.,Modelling and Economics Unit, Centre for Infectious Disease Surveillance and Control, Public Health England, London, UK
| | - Gérard Krause
- Department for Epidemiology, Helmholtz-Centre for Infection Research, Braunschweig, Germany.,Hannover Medical School, Hannover, Germany
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Raupach-Rosin H, Rübsamen N, Szkopek S, Schmalz O, Karch A, Mikolajczyk R, Castell S. Care for MRSA carriers in the outpatient sector: a survey among MRSA carriers and physicians in two regions in Germany. BMC Infect Dis 2016; 16:184. [PMID: 27112442 PMCID: PMC4845324 DOI: 10.1186/s12879-016-1503-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2015] [Accepted: 04/09/2016] [Indexed: 11/23/2022] Open
Abstract
Background Little is known about the management of methicillin-resistant Staphylococcus aureus (MRSA) carriers in the German outpatient sector and about the impact of MRSA on their daily life. Reimbursement for MRSA related costs in the German outpatient sector is available since 2012, but its impact has not been studied yet. The aim of the study was to analyze the outpatient management of MRSA carriers from both, physicians’ and MRSA carriers’ perspective. Methods Paper-based questionnaires were mailed to physicians providing outpatient care and to MRSA carriers in 2013. MRSA carriers were recruited among patients tested positive for MRSA during a hospital stay in 2012. General practitioners, specialists for internal medicine, urologists, and dermatologists working in the outpatient catchment areas of the hospitals were contacted. Results Out of 910 MRSA carriers 16.5 % completed the questionnaires; among 851 physicians 9.5 % participated. 27.3 % of the responding MRSA carriers stated that no healthcare professional had ever talked to them about MRSA. 17.4 % reported self-stigmatization in terms of restricting social contacts; 47.3 % remembered decolonization and 33.3 % reported that their MRSA status was checked after discharge. Physicians displayed heterogeneous attitude and activity towards MRSA (number of applied decolonization and MRSA screenings). A minority (15.2 %) were satisfied with the reimbursement of costs, 35.9 % reported full agreement with the general recommendations for the handling of MRSA carriers. Conclusions MRSA carriers appear not well informed; (self-) stigmatization is occurring and should be tackled. Greater awareness of MRSA as a problem in the outpatient sector could lead to a better handling of MRSA carriers. Electronic supplementary material The online version of this article (doi:10.1186/s12879-016-1503-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Heike Raupach-Rosin
- Department Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124, Braunschweig, Germany
| | - Nicole Rübsamen
- Department Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124, Braunschweig, Germany.,PhD Programme "Epidemiology", Braunschweig-Hannover, Germany
| | - Sebastian Szkopek
- Städtisches Klinikum Braunschweig, Institut für Mikrobiologie, Immunologie und Krankenhaushygiene, Braunschweig, Germany
| | - Oliver Schmalz
- Helios Klinikum Wuppertal, Abteilung für Onkologie und Palliativmedizin, Heusnerstraße 40, 42283, Wuppertal, Germany
| | - André Karch
- Department Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124, Braunschweig, Germany.,PhD Programme "Epidemiology", Braunschweig-Hannover, Germany.,German Centre for Infection Research, Hannover-Braunschweig, Germany
| | - Rafael Mikolajczyk
- Department Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124, Braunschweig, Germany. .,German Centre for Infection Research, Hannover-Braunschweig, Germany. .,Hannover Medical School, Hannover, Germany.
| | - Stefanie Castell
- Department Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124, Braunschweig, Germany
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Karo B, Krause G, Hollo V, van der Werf MJ, Castell S, Hamouda O, Haas W. Impact of HIV infection on treatment outcome of tuberculosis in Europe. AIDS 2016; 30:1089-98. [PMID: 26752278 DOI: 10.1097/qad.0000000000001016] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND The effect of HIV on tuberculosis (TB) treatment outcomes has not been well established. We aimed to assess the impact of HIV infection on TB treatment outcomes by using data from notifiable disease surveillance in Europe. METHODS We analyzed the treatment outcomes of TB cases reported from nine European countries during 2010-2012. We investigate the effect of HIV on TB treatment outcomes using a multilevel and a multinomial logistic model, and considering the interaction between HIV and multidrug-resistant (MDR) TB. RESULTS A total of 61,138 TB cases including 5.5% HIV-positive were eligible for our analysis. In the multilevel model adjusted for age and an interaction with MDR TB, HIV was significantly associated with lower treatment success in all MDR strata [non-MDR TB: odds ratio (OR) 0.24 CI (confidence interval) 0.20-0.29; unknown MDR TB status: OR 0.26 CI 0.23-0.30; MDR TB: OR 0.57 CI 0.35-0.91]. In the multinomial regression model, HIV-positive cases had significantly higher relative risk ratio (RRR) for death (non-MDR TB: RRR 4.30 CI 2.31-7.99; unknown MDR TB status: 5.55 CI 3.10-9.92; MDR TB: 3.59 CI 1.56-8.28) and being 'still on treatment' (non-MDR TB: RRR 7.27 CI 3.00-17.6; unknown MDR TB status: 5.36 CI 2.44-11.8; MDR TB: 3.76 CI 2.48-5.71). We did not find any significant association between HIV and TB treatment failure (non-MDR TB: RRR 0.50 CI 0.15-1.67; unknown MDR TB status: 1.51 CI 0.86-2.64; MDR TB: 0.51 CI 0.13-1.87). CONCLUSION This large study confirms that HIV is a strong risk factor for an adverse TB treatment outcome, which is mainly manifested by an increased risk of death and still being on TB treatment.
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Schoenfeld N, Haas W, Richter E, Bauer T, Boes L, Castell S, Hauer B, Magdorf K, Matthiessen W, Mauch H, Reuss A, Schenkel K, Ruesch-Gerdes S, Zabel P, Dalhoff K, Schaberg T, Loddenkemper R. Recommendations of the German Central Committee against Tuberculosis (DZK) and the German Respiratory Society (DGP) for the Diagnosis and Treatment of Non-tuberculous Mycobacterioses. Pneumologie 2016; 70:250-76. [PMID: 27064418 DOI: 10.1055/s-0041-111494] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Non-tuberculous mycobacterioses comprise a group of diseases caused by mycobacteria which do not belong to the Mycobacterium (M.) tuberculosis-complex and are not ascribed to M. leprae. These mycobacteria are characterized by a broad variety as to environmental distribution and adaptation. Some of the species may cause specific diseases, especially in patients with underlying immunosuppressive diseases, chronic pulmonary diseases or genetic predisposition, respectively. Worldwide, a rising prevalence and significance of non-tuberculous mycobacterioses is recognized. The present recommendations summarise current aspects of epidemiology, pathogenesis, clinical aspects, diagnostics - especially microbiological methods including susceptibility testing -, and specific treatment for the most relevant species. Diagnosis and treatment of non-tuberculous mycobacterioses during childhood and in HIV-infected individuals are described in separate chapters.
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Affiliation(s)
- N Schoenfeld
- Department of Pneumology, Lungenklinik Heckeshorn, Helios Klinikum Emil von Behring, Berlin
| | - W Haas
- Department for Infectious Disease Epidemiology, Respiratory Infections Unit, Robert Koch Institute, Berlin
| | - E Richter
- Head of TB laboratory; MVZ Labor Dr. Limbach & Kollegen GbR
| | - T Bauer
- Department of Pneumology, Lungenklinik Heckeshorn, Helios Klinikum Emil von Behring, Berlin
| | - L Boes
- German Central Committee against Tuberculosis, Berlin
| | - S Castell
- German Central Committee against Tuberculosis, Berlin
| | - B Hauer
- Department for Infectious Disease Epidemiology, Respiratory Infections Unit, Robert Koch Institute, Berlin
| | - K Magdorf
- Department of Pediatrics, Subspecialty Pneumology and Immunology, Charité Universitäts-Medizin Berlin, Stiftung Oskar-Helene-Heim, Berlin
| | - W Matthiessen
- Coswig Specialist Hospital, Center for Pneumology and Thoracic Surgery
| | - H Mauch
- Department of Microbiology, Immunology and Laboratory Medicine, Helios Klinikum Emil von Behring, Berlin
| | - A Reuss
- Department for Infectious Disease Epidemiology, Respiratory Infections Unit, Robert Koch Institute, Berlin
| | - K Schenkel
- German Central Committee against Tuberculosis, Berlin
| | - S Ruesch-Gerdes
- Microbiologist consultant, Reinbek, member of the WHO GLI Europe
| | - P Zabel
- Research Center Borstel, Medical Clinic, Borstel
| | - K Dalhoff
- Department of Medicine III (Pulmonology), University Hospital of Schleswig-Holstein, Luebeck Campus
| | - T Schaberg
- Center for Pneumology, Agaplesion Diakonie Hospital, Rotenburg
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Affiliation(s)
- R. Loddenkemper
- Deutsches Zentralkomitee zur Bekämpfung der Tuberkulose, Berlin
| | - M. Brönnecke
- Deutsches Zentralkomitee zur Bekämpfung der Tuberkulose, Berlin
| | - S. Castell
- Deutsches Zentralkomitee zur Bekämpfung der Tuberkulose, Berlin
| | - R. Diel
- Deutsches Zentralkomitee zur Bekämpfung der Tuberkulose, Berlin
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Abstract
Knowledge about actual risks was poor, creating the potential for inappropriate behavior changes. Ebola virus disease (EVD) outbreaks have occurred during the past 5 decades, but none has affected European countries like the 2014 epidemic in West Africa. We used an online questionnaire to investigate risk perceptions in Germany during this epidemic peak. Our questionnaire covered risk perceptions, knowledge about transmission routes, media use, reactions to the outbreak, attitudes toward measures to prevent the spread of EVD and vaccination against EVD, and willingness to volunteer for aid missions. Of 974 participants, 29% indicated that they worried about EVD, 4% correctly stated virus transmission routes, and 75% incorrectly rated airborne transmission and transmission by asymptomatic patients as possible. Many indicated that if a patient were flown to Germany for treatment in a nearby hospital, they would adapt preventive behavior. Although most participants were not worried about EVD at the current stage of the epidemic, misperceptions regarding transmission were common and could trigger inappropriate behavior changes.
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