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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Holz A, Obi N, Ahrens W, Berger K, Bohn B, Brenner H, Fischer B, Fricke J, Führer A, Gastell S, Greiser KH, Harth V, Heise JK, Holleczek B, Keil T, Klett-Tammen CJ, Leitzmann M, Lieb W, Meinke-Franze C, Michels KB, Mikolajczyk R, Nimptsch K, Peters A, Pischon T, Riedel O, Schikowski T, Schipf S, Schmidt B, Schulze MB, Stang A, Hellwig K, Riemann-Lorenz K, Heesen C, Becher H. Childhood and adolescence factors and multiple sclerosis: results from the German National Cohort (NAKO). BMC Neurol 2024; 24:123. [PMID: 38614986 PMCID: PMC11015562 DOI: 10.1186/s12883-024-03620-4] [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: 07/12/2023] [Accepted: 04/02/2024] [Indexed: 04/15/2024] Open
Abstract
BACKGROUND Multiple Sclerosis (MS) represents the most common inflammatory neurological disease causing disability in early adulthood. Childhood and adolescence factors might be of relevance in the development of MS. We aimed to investigate the association between various factors (e.g., prematurity, breastfeeding, daycare attendance, weight history) and MS risk. METHODS Data from the baseline assessment of the German National Cohort (NAKO) were used to calculate adjusted hazard ratios (HR) and 95% confidence intervals (CI) for the association between childhood and adolescence factors and risk of MS. Analyses stratified by sex were conducted. RESULTS Among a total of 204,273 participants, 858 reported an MS diagnosis. Male sex was associated with a decreased MS risk (HR 0.48; 95% CI 0.41-0.56), while overweight (HR 2.03; 95% CI 1.41-2.94) and obesity (HR 1.89; 95% CI 1.02-3.48) at 18 years of age compared to normal weight were associated with increased MS risk. Having been breastfed for ≤ 4 months was associated with a decreased MS risk in men (HR 0.59; 95% CI 0.40-0.86) compared to no breastfeeding. No association with MS risk was observed for the remaining factors. CONCLUSIONS Apart from overweight and obesity at the age of 18 years, we did not observe considerable associations with MS risk. The proportion of cases that can be explained by childhood and adolescence factors examined in this study was low. Further investigations of the association between the onset of overweight and obesity in childhood and adolescence and its interaction with physical activity and MS risk seem worthwhile.
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Affiliation(s)
- Anja Holz
- Institute of Medical Biometry and Epidemiology (IMBE), University Medical Center Hamburg-Eppendorf (UKE), Martinistr. 52, 20246, Hamburg, Germany.
- Institute of Tumor Biology, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.
| | - Nadia Obi
- Institute of Medical Biometry and Epidemiology (IMBE), University Medical Center Hamburg-Eppendorf (UKE), Martinistr. 52, 20246, Hamburg, Germany
- Institute for Occupational and Maritime Medicine (ZfAM), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
- University Bremen, Bremen, 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), Division of Preventive Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Beate Fischer
- Institute for Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Julia Fricke
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Amand Führer
- Institute for Medical Epidemiology, Biometrics and Informatics (IMEBI), Interdisciplinary Center for Health Sciences, Medical School of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Sylvia Gastell
- NAKO Study Center, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Karin Halina Greiser
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Volker Harth
- Institute for Occupational and Maritime Medicine (ZfAM), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, 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
| | - Carolina J Klett-Tammen
- Department for Epidemiology, Helmholtz Centre for Infection Research (HZI), Brunswick, Germany
| | - Michael Leitzmann
- Institute for 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 for Medical Epidemiology, Biometrics and Informatics (IMEBI), Interdisciplinary Center for Health Sciences, Medical School of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Katharina Nimptsch
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, 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
| | - 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
| | - Oliver Riedel
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Tamara Schikowski
- IUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
| | - Sabine Schipf
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, 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
| | - Andreas Stang
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany
- School of Public Health, Department of Epidemiology Boston University, 715 Albany Street, Talbot Building, Boston, MA, 02118, USA
| | - Kerstin Hellwig
- Katholisches Klinikum Bochum, Neurology Clinic, Clinic of Ruhr-Universität Bochum, Bochum, Germany
| | - Karin Riemann-Lorenz
- Center for Molecular Neurobiology Hamburg (ZMNH), Institute of Neuroimmunology and Multiple Sclerosis (INIMS), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Christoph Heesen
- Center for Molecular Neurobiology Hamburg (ZMNH), Institute of Neuroimmunology and Multiple Sclerosis (INIMS), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
- Department of Neurology, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Heiko Becher
- Institute of Global Health, University Hospital Heidelberg, Heidelberg, Germany
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3
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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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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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5
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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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6
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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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7
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Tanoey J, Baechle C, Brenner H, Deckert A, Fricke J, Günther K, Karch A, Keil T, Kluttig A, Leitzmann M, Mikolajczyk R, Obi N, Pischon T, Schikowski T, Schipf SM, Schulze MB, Sedlmeier A, Moreno Velásquez I, Weber KS, Völzke H, Ahrens W, Gastell S, Holleczek B, Jöckel KH, Katzke V, Lieb W, Michels KB, Schmidt B, Teismann H, Becher H. Birth Order, Caesarean Section, or Daycare Attendance in Relation to Child- and Adult-Onset Type 1 Diabetes: Results from the German National Cohort. Int J Environ Res Public Health 2022; 19:10880. [PMID: 36078596 PMCID: PMC9517906 DOI: 10.3390/ijerph191710880] [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] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 08/25/2022] [Accepted: 08/27/2022] [Indexed: 06/15/2023]
Abstract
(1) Background: Global incidence of type 1 diabetes (T1D) is rising and nearly half occurred in adults. However, it is unclear if certain early-life childhood T1D risk factors were also associated with adult-onset T1D. This study aimed to assess associations between birth order, delivery mode or daycare attendance and type 1 diabetes (T1D) risk in a population-based cohort and whether these were similar for childhood- and adult-onset T1D (cut-off age 15); (2) Methods: Data were obtained from the German National Cohort (NAKO Gesundheitsstudie) baseline assessment. Self-reported diabetes was classified as T1D if: diagnosis age ≤ 40 years and has been receiving insulin treatment since less than one year after diagnosis. Cox regression was applied for T1D risk analysis; (3) Results: Analyses included 101,411 participants (100 childhood- and 271 adult-onset T1D cases). Compared to "only-children", HRs for second- or later-born individuals were 0.70 (95% CI = 0.50-0.96) and 0.65 (95% CI = 0.45-0.94), respectively, regardless of parental diabetes, migration background, birth year and perinatal factors. In further analyses, higher birth order reduced T1D risk in children and adults born in recent decades. Caesarean section and daycare attendance showed no clear associations with T1D risk; (4) Conclusions: Birth order should be considered in both children and adults' T1D risk assessment for early detection.
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Affiliation(s)
- Justine Tanoey
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Christina Baechle
- Institute for Biometrics and Epidemiology, German Diabetes Center (DDZ), Leibniz Institute for Diabetes Research, Heinrich Heine University, 40225 Düsseldorf, Germany
| | - Hermann Brenner
- Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Andreas Deckert
- Heidelberg Institute of Global Health, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Julia Fricke
- Institute of Social Medicine, Epidemiology and Health Economics, Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany
| | - Kathrin Günther
- Leibniz Institute for Prevention Research and Epidemiology—BIPS, 28359 Bremen, Germany
| | - André Karch
- Institute for Epidemiology and Social Medicine, Albert-Schweitzer-Campus 1, Building D3, 48149 Münster, Germany
| | - Thomas Keil
- Institute of Social Medicine, Epidemiology and Health Economics, Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, 97080 Würzburg, Germany
- State Institute of Health, Bavarian Health and Food Safety Authority, 91058 Erlangen, Germany
| | - Alexander Kluttig
- Institute for Medical Epidemiology, Biometrics and Informatics, Interdisciplinary Center for Health Sciences, Martin Luther University Halle-Wittenberg, 06112 Halle (Saale), Germany
| | - Michael Leitzmann
- Department for Epidemiology and Preventive Medicine, Regensburg University Medical Center, 93053 Regensburg, Germany
| | - Rafael Mikolajczyk
- Institute for Medical Epidemiology, Biometrics and Informatics, Interdisciplinary Center for Health Sciences, Martin Luther University Halle-Wittenberg, 06112 Halle (Saale), Germany
| | - Nadia Obi
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Tobias Pischon
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Molecular Epidemiology Research Group, 13125 Berlin, Germany
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Biobank Technology Platform, 13125 Berlin, Germany
- Charité—Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117 Berlin, Germany
| | - Tamara Schikowski
- Leibniz Research Institute for Environmental Medicine—IUF, 40225 Düsseldorf, Germany
| | - Sabine M. Schipf
- Institute for Community Medicine, University Medicine Greifswald, 17489 Greifswald, Germany
| | - Matthias B. Schulze
- German Institute of Human Nutrition Potsdam-Rehbruecke, 14558 Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, 14558 Nuthetal, Germany
| | - Anja Sedlmeier
- Department for Epidemiology and Preventive Medicine, Regensburg University Medical Center, 93053 Regensburg, Germany
| | - Ilais Moreno Velásquez
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Molecular Epidemiology Research Group, 13125 Berlin, Germany
| | | | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, 17489 Greifswald, Germany
| | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology—BIPS, 28359 Bremen, Germany
| | - Sylvia Gastell
- German Institute of Human Nutrition Potsdam-Rehbruecke, 14558 Nuthetal, Germany
| | - Bernd Holleczek
- Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Karl-Heinz Jöckel
- Institute of Medical Informatics, Biometry und Epidemiology, Essen University Hospital, 45147 Essen, Germany
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology, Kiel University, 24105 Kiel, Germany
| | - Karin B. Michels
- Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, 79110 Freiburg, Germany
| | - Börge Schmidt
- Institute of Medical Informatics, Biometry und Epidemiology, Essen University Hospital, 45147 Essen, Germany
| | - Henning Teismann
- Institute for Epidemiology and Social Medicine, Albert-Schweitzer-Campus 1, Building D3, 48149 Münster, Germany
| | - Heiko Becher
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
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8
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Nimptsch K, Jaeschke L, Chang-Claude J, Kaaks R, Katzke V, Michels KB, Franzke CW, Obi N, Becher H, Kuß O, Schikowski T, Schulze MB, Gastell S, Hoffmann W, Schipf S, Ahrens W, Günther K, Krist L, Keil T, Jöckel KH, Schmidt B, Brenner H, Holleczek B, Fischer B, Leitzmann M, Lieb W, Berger K, Krause G, Löffler M, Schmidt-Pokrzywniak A, Mikolajczyk R, Linseisen J, Greiser KH, Pischon T. [Self-reported cancer in the German National Cohort (NAKO Gesundheitsstudie): assessment methods and first results]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2020; 63:385-396. [PMID: 32179962 DOI: 10.1007/s00103-020-03113-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [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
BACKGROUND In the German National Cohort (NAKO Gesundheitsstudie), the largest prospective cohort study in Germany, data on self-reported cancer diagnoses are now available for the first half of participants. OBJECTIVES Description of the methods to assess self-reported cancer diagnoses and type of cancer in the NAKO and presentation of first results. MATERIALS AND METHODS In a computer-assisted, standardized personal interview, 101,787 participants (54,526 women, 47,261 men) were asked whether they had ever been diagnosed with cancer (malignant tumors including in situ) by a physician and how many cancer diagnoses they had. The type of cancer was classified with a list. Absolute and relative frequencies of self-reported cancer diagnoses and types of cancer were calculated and compared with cancer registry data. RESULTS A physician-diagnosed cancer was reported by 9.4% of women and 7.0% of men. Of the participants who reported a cancer diagnosis, 88.3% reported to have had only one cancer diagnosis. In women, the most frequent malignancies were breast cancer, cervical cancer, and melanoma. In men, the most frequent malignancies were prostate cancer, melanoma, and colorectal cancer. Comparing the frequencies of cancer diagnoses reported by 45- to 74-year-old NAKO participants within the last five years to cancer registry-based 5‑year prevalences, most types of cancer were less frequent in the NAKO, with the exception of melanoma in men and women, cervical cancer and liver cancer in women, and bladder cancer and breast cancer in men. CONCLUSIONS The NAKO is a rich data basis for future investigations of incident cancer.
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Affiliation(s)
- Katharina Nimptsch
- Forschergruppe Molekulare Epidemiologie, Max-Delbrück-Centrum für Molekulare Medizin in der Helmholtz-Gemeinschaft (MDC), Robert-Rössle-Straße 10, 13125, Berlin, Deutschland.
| | - Lina Jaeschke
- Forschergruppe Molekulare Epidemiologie, Max-Delbrück-Centrum für Molekulare Medizin in der Helmholtz-Gemeinschaft (MDC), Robert-Rössle-Straße 10, 13125, Berlin, Deutschland
| | - Jenny Chang-Claude
- Abteilung Epidemiologie von Krebserkrankungen, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | - Rudolf Kaaks
- Abteilung Epidemiologie von Krebserkrankungen, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | - Verena Katzke
- Abteilung Epidemiologie von Krebserkrankungen, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | - Karin B Michels
- Institut für Prävention und Tumorepidemiologie, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland
| | - Claus-Werner Franzke
- Institut für Prävention und Tumorepidemiologie, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland
| | - Nadia Obi
- Institut für Medizinische Biometrie und Epidemiologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland
| | - Heiko Becher
- Institut für Medizinische Biometrie und Epidemiologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland
| | - Oliver Kuß
- Deutsches Diabetes-Zentrum (DDZ), Institut für Biometrie und Epidemiologie, Leibniz-Zentrum für Diabetes-Forschung an der Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Deutschland
| | - Tamara Schikowski
- Deutsches Diabetes-Zentrum (DDZ), Institut für Biometrie und Epidemiologie, Leibniz-Zentrum für Diabetes-Forschung an der Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Deutschland
| | - Matthias B Schulze
- Abteilung Molekulare Epidemiologie, Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke, Nuthetal, Deutschland.,Institut für Ernährungswissenschaft, Universität Potsdam, Nuthetal, Deutschland
| | - Sylvia Gastell
- NAKO-Studienzentrum Berlin-Süd/Brandenburg, Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke, Nuthetal, Deutschland
| | - Wolfgang Hoffmann
- Institut für Community Medicine, Universitätsmedizin Greifswald, Greifswald, Deutschland
| | - Sabine Schipf
- Institut für Community Medicine, Universitätsmedizin Greifswald, Greifswald, Deutschland
| | - Wolfgang Ahrens
- Leibniz-Institut für Präventionsforschung und Epidemiologie - BIPS, Bremen, Deutschland.,Institut für Statistik, Fachbereich Mathematik und Informatik, Universität Bremen, Bremen, Deutschland
| | - Kathrin Günther
- Leibniz-Institut für Präventionsforschung und Epidemiologie - BIPS, Bremen, Deutschland
| | - Lilian Krist
- Institut für Sozialmedizin, Epidemiologie und Gesundheitsökonomie, Charité - Universitätsmedizin Berlin, Berlin, Deutschland
| | - Thomas Keil
- Institut für Sozialmedizin, Epidemiologie und Gesundheitsökonomie, Charité - Universitätsmedizin Berlin, Berlin, Deutschland.,Institut für Klinische Epidemiologie und Biometrie, Universität Würzburg, Würzburg, Deutschland.,Landesinstitut für Gesundheit, Bayerisches Landesamt für Gesundheit und Lebensmittelsicherheit, Bad Kissingen, Deutschland
| | - Karl-Heinz Jöckel
- Universitätsklinikum Essen, Institut für Medizinische Informatik, Biometrie und Epidemiologie (IMIBE), Essen, Deutschland
| | - Börge Schmidt
- Universitätsklinikum Essen, Institut für Medizinische Informatik, Biometrie und Epidemiologie (IMIBE), Essen, Deutschland
| | - Hermann Brenner
- Abteilung Klinische Epidemiologie und Alternsforschung, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland.,Abteilung Präventive Onkologie, Deutsches Krebsforschungszentrum (DKFZ) und Nationales Centrum für Tumorerkrankungen (NCT), Heidelberg, Deutschland.,Deutsches Konsortium für Translationale Krebsforschung (DKTK), Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | - Bernd Holleczek
- Abteilung Klinische Epidemiologie und Alternsforschung, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland.,Krebsregister Saarland, Saarbrücken, Deutschland
| | - Beate Fischer
- Institut für Epidemiologie und Präventivmedizin, Universität Regensburg, Regensburg, Deutschland
| | - Michael Leitzmann
- Institut für Epidemiologie und Präventivmedizin, Universität Regensburg, Regensburg, Deutschland
| | - Wolfgang Lieb
- Institut für Epidemiologie, Christian-Albrechts-Universität zu Kiel, Kiel, Deutschland
| | - Klaus Berger
- Institut für Epidemiologie und Sozialmedizin, Westfälische Wilhelms-Universität Münster, Münster, Deutschland
| | - Gérard Krause
- Abteilung Epidemiologie, Helmholtz-Zentrum für Infektionsforschung (HZI), Braunschweig, Deutschland
| | - Markus Löffler
- Institut für Medizinische Informatik, Statistik und Epidemiologie (IMISE), Medizinische Fakultät, Universität Leipzig, Leipzig, Deutschland
| | - Andrea Schmidt-Pokrzywniak
- Institut für Medizinische Epidemiologie, Biometrie und Informatik, Martin-Luther-Universität Halle-Wittenberg, Halle (Saale), Deutschland
| | - Rafael Mikolajczyk
- Institut für Medizinische Epidemiologie, Biometrie und Informatik, Martin-Luther-Universität Halle-Wittenberg, Halle (Saale), Deutschland
| | - Jakob Linseisen
- Lehrstuhl für Epidemiologie, UNIKA-T, Ludwig-Maximilians-Universität (LMU) München, Augsburg, Deutschland.,Selbständige Forschungsgruppe Klinische Epidemiologie, Helmholtz Zentrum München, Neuherberg, Deutschland
| | - Karin Halina Greiser
- Abteilung Epidemiologie von Krebserkrankungen, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | - Tobias Pischon
- Forschergruppe Molekulare Epidemiologie, Max-Delbrück-Centrum für Molekulare Medizin in der Helmholtz-Gemeinschaft (MDC), Robert-Rössle-Straße 10, 13125, Berlin, Deutschland.,Charité - Universitätsmedizin Berlin, Berlin, Deutschland.,Partnerstandort Berlin, Deutsches Zentrum für Herz-Kreislauf-Forschung (DZHK), Berlin, Deutschland.,MDC/BIH Biobank, Max-Delbrück-Centrum für Molekulare Medizin in der Helmholtz-Gemeinschaft (MDC), Berlin, Deutschland
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9
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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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10
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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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11
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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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12
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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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13
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Jaeschke L, Steinbrecher A, Boeing H, Gastell S, Ahrens W, Berger K, Brenner H, Ebert N, Fischer B, Greiser KH, Hoffmann W, Jöckel KH, Kaaks R, Keil T, Kemmling Y, Kluttig A, Krist L, Leitzmann M, Lieb W, Linseisen J, Löffler M, Michels KB, Obi N, Peters A, Schipf S, Schmidt B, Zinkhan M, Pischon T. Factors associated with habitual time spent in different physical activity intensities using multiday accelerometry. Sci Rep 2020; 10:774. [PMID: 31964962 PMCID: PMC6972881 DOI: 10.1038/s41598-020-57648-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Accepted: 12/22/2019] [Indexed: 01/21/2023] Open
Abstract
To investigate factors associated with time in physical activity intensities, we assessed physical activity of 249 men and women (mean age 51.3 years) by 7-day 24h-accelerometry (ActiGraph GT3X+). Triaxial vector magnitude counts/minute were extracted to determine time in inactivity, in low-intensity, moderate, and vigorous-to-very-vigorous activity. Cross-sectional associations with sex, age, body mass index, waist circumference, smoking, alcohol consumption, education, employment, income, marital status, diabetes, and dyslipidaemia were investigated in multivariable regression analyses. Higher age was associated with more time in low-intensity (mean difference, 7.3 min/d per 5 years; 95% confidence interval 2.0,12.7) and less time in vigorous-to-very-vigorous activity (−0.8 min/d; −1.4, −0.2), while higher BMI was related to less time in low-intensity activity (−3.7 min/d; −6.3, −1.2). Current versus never smoking was associated with more time in low-intensity (29.2 min/d; 7.5, 50.9) and less time in vigorous-to-very-vigorous activity (−3.9 min/d; −6.3, −1.5). Finally, having versus not having a university entrance qualification and being not versus full time employed were associated with more inactivity time (35.9 min/d; 13.0, 58.8, and 66.2 min/d; 34.7, 97.7, respectively) and less time in low-intensity activity (−31.7 min/d; −49.9, −13.4, and −50.7; −76.6, −24.8, respectively). The assessed factors show distinct associations with activity intensities, providing targets for public health measures aiming to increase activity.
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Affiliation(s)
- Lina Jaeschke
- Molecular Epidemiology Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
| | - Astrid Steinbrecher
- Molecular Epidemiology Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Heiner Boeing
- Division of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Potsdam-Rehbruecke, Germany
| | - Sylvia Gastell
- Division of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Potsdam-Rehbruecke, Germany
| | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.,Institute of Statistics, Faculty of Mathematics and Computer Science, University of Bremen, Bremen, 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, INF 581, Heidelberg, Germany
| | - Nina Ebert
- German Diabetes Center (DDZ), Leibniz Center for Diabetes Research, Heinrich Heine University, Institute for Biometrics and Epidemiology, Düsseldorf, Germany
| | - Beate Fischer
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | | | - Wolfgang Hoffmann
- Section Epidemiology of Health Care and Community Health, Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Rudolf Kaaks
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Thomas Keil
- Institute for Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Yvonne Kemmling
- Department of Epidemiology, Helmholtz-Centre for Infection Research, Braunschweig, Germany
| | - Alexander Kluttig
- Institute of Medical Epidemiology, Biometry and Informatics, Martin-Luther-University, Halle (Saale), Germany
| | - Lilian Krist
- Institute for 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
| | - Jakob Linseisen
- Chair of Epidemiology, LMU Munich at UNIKA-T, Augsburg, Germany.,Helmholtz Zentrum München, IRG Clinical Epidemiology, Neuherberg, Germany
| | - Markus Löffler
- Institute for Medical Informatics, Statistics and Epidemiology, Leipzig, Germany
| | - Karin B Michels
- Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Nadia Obi
- Institute for Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München - German Center for Health and Environment, Neuherberg, Germany
| | - Sabine Schipf
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Melanie Zinkhan
- Institute of Medical Epidemiology, Biometry and Informatics, Martin-Luther-University, Halle (Saale), Germany
| | - Tobias Pischon
- Molecular Epidemiology Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.,Charité - Universitätsmedizin Berlin, Berlin, Germany.,German Center for Cardiovascular Research (DZHK), partner site Berlin, Berlin, Germany.,MDC/BIH Biobank, Max Delbrück Center for Molecular Medicine and Berlin Institute of Health, Berlin, Germany
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14
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Knüppel S, Clemens M, Conrad J, Gastell S, Michels KB, Leitzmann M, Krist L, Pischon T, Krause G, Ahrens W, Ebert N, Jöckel KH, Kluttig A, Obi N, Kaaks R, Lieb W, Schipf S, Brenner H, Heuer T, Harttig U, Linseisen J, Nöthlings U, Boeing H. Design and characterization of dietary assessment in the German National Cohort. Eur J Clin Nutr 2019; 73:1480-1491. [PMID: 30647440 DOI: 10.1038/s41430-018-0383-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Revised: 12/14/2018] [Accepted: 12/16/2018] [Indexed: 11/09/2022]
Abstract
BACKGROUND/OBJECTIVES The aim of the study was to describe a novel dietary assessment strategy based on two instruments complemented by information from an external population applied to estimate usual food intake in the large-scale multicenter German National Cohort (GNC). As proof of concept, we applied the assessment strategy to data from a pretest study (2012-2013) to assess the feasibility of the novel assessment strategy. SUBJECTS/METHODS First, the consumption probability for each individual was modeled using three 24 h food lists (24h-FLs) and frequencies from one food frequency questionnaire (FFQ). Second, daily consumed food amounts were estimated from the representative German National Nutrition Survey II (NVS II) taking the characteristics of the participants into account. Usual food intake was estimated using the product of consumption probability and amounts. RESULTS We estimated usual intake of 41 food groups in 318 men and 377 women. The participation proportion was 100, 84.4, and 68.5% for the first, second, and third 24h-FL, respectively. We observed no associations between the probability of participating and lifestyle factors. The estimated distributions of usual food intakes were plausible and total energy was estimated to be 2707 kcal/day for men and 2103 kcal/day for women. The estimated consumption frequencies did not differ substantially between men and women with only few exceptions. The differences in energy intake between men and women were mostly due to differences in estimated daily amounts. CONCLUSIONS The combination of repeated 24h-FLs, a FFQ, and consumption-day amounts from a reference population represents a user-friendly dietary assessment approach having generated plausible, but not yet validated, food intake values in the pretest study.
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Affiliation(s)
- Sven Knüppel
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany.
| | - Matthias Clemens
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
| | - Johanna Conrad
- Institute of Nutrition and Food Sciences, Nutritional Epidemiology, University of Bonn, Bonn, Germany
| | - Sylvia Gastell
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
| | - Karin B Michels
- Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Michael Leitzmann
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Lilian Krist
- Institute for 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
| | - Gerard Krause
- Department for Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.,Institute of Statistics, Faculty Mathematics/Computer Science, University Bremen, Bremen, Germany
| | - Nina Ebert
- Institute for Biometry and Epidemiology, Leibniz Institute for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Karl-Heinz Jöckel
- Institute of Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Alexander Kluttig
- Institute of Medical Epidemiology, Biostatistics, and Informatics, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Nadia Obi
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology, Christian-Albrechts University of Kiel, Kiel, Germany
| | - Sabine Schipf
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.,German Center for Diabetes Research (DZD), Site Greifswald, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumour Diseases (NCT), Heidelberg, Germany.,German Cancer Consortium, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Thorsten Heuer
- Department of Nutritional Behaviour, Max Rubner-Institut (MRI), Federal Research Institute of Nutrition and Food, Karlsruhe, Germany
| | - Ulrich Harttig
- Human Study Center, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
| | - Jakob Linseisen
- Clinical Epidemiology, Helmholtz Centre Munich, Neuherberg, Germany.,Chair of Epidemiology, Ludwig-Maximilians-Universität München, UNIKA-T, Augsburg, Germany
| | - Ute Nöthlings
- Institute of Nutrition and Food Sciences, Nutritional Epidemiology, University of Bonn, Bonn, Germany
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
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15
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Pirlich M, Schütz T, Norman K, Gastell S, Lübke HJ, Bischoff SC, Bolder U, Frieling T, Güldenzoph H, Hahn K, Jauch KW, Schindler K, Stein J, Volkert D, Weimann A, Werner H, Wolf C, Zürcher G, Bauer P, Lochs H. The German hospital malnutrition study. Clin Nutr 2006; 25:563-72. [PMID: 16698132 DOI: 10.1016/j.clnu.2006.03.005] [Citation(s) in RCA: 339] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2005] [Revised: 01/29/2006] [Accepted: 03/21/2006] [Indexed: 12/15/2022]
Abstract
BACKGROUND & AIMS Malnutrition is frequently observed in chronic and severe diseases and associated with impaired outcome. In Germany general data on prevalence and impact of hospital malnutrition are missing. METHODS Nutritional state was assessed by subjective global assessment (SGA) and by anthropometric measurements in 1,886 consecutively admitted patients in 13 hospitals (n=1,073, university hospitals; n=813, community or teaching hospitals). Risk factors for malnutrition and the impact of nutritional status on length of hospital stay were analyzed. RESULTS Malnutrition was diagnosed in 27.4% of patients according to SGA. A low arm muscle area and arm fat area were observed in 11.3% and 17.1%, respectively. Forty-three % of patients 70 years old were malnourished compared to only 7.8% of patients <30 years. The highest prevalence of malnutrition was observed in geriatric (56.2%), oncology (37.6%), and gastroenterology (32.6%) departments. Multivariate analysis revealed three independent risk factors: higher age, polypharmacy, and malignant disease (all P<0.01). Malnutrition was associated with an 43% increase of hospital stay (P<0.001). CONCLUSIONS In German hospitals every fourth patient is malnourished. Malnutrition is associated with increased length of hospital stay. Higher age, malignant disease and major comorbidity were found to be the main contributors to malnutrition. Adequate nutritional support should be initiated in order to optimize the clinical outcome of these patients.
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Affiliation(s)
- Matthias Pirlich
- Medizinische Klinik-Gastroenterologie, Hepatologie und Endokrinologie, Charité-Universitätsmedizin Berlin, D 10098 Berlin, Germany.
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16
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Ockenga J, Pirlich M, Gastell S, Lochs H. [Tumour anorexia--tumour cachexia in case of gastrointestinal tumours: standards and visions]. Z Gastroenterol 2002; 40:929-36. [PMID: 12436371 DOI: 10.1055/s-2002-35411] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
The development of progressive malnutrition or cachexia is frequent in patients with gastrointestinal cancer - especially in patients with a carcinoma of the pancreas. The cachexia syndrome which is characterised by loss of body weight, negative nitrogen balance and fatigue significantly affects patients' quality of life, morbidity and survival. Because the currently established therapeutical strategies are often disappointing many physicians tended to develop a therapeutical nihilism. Cancer anorexia and cachexia are two distinct syndromes which may have synergistic effects in a patient. This review highlights the growing understanding of the multidimensional pathophysiological background. An algorithm of the current treatment strategies is given. In addition, we discuss new anabolic and anticatabolic agents (e.g. eicosapentanoic acid) and the results from first clinical trials.
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Affiliation(s)
- J Ockenga
- Medizinische Klinik mit Schwerpunkt Gastroenterologie, Hepatologie und Endokrinologie, Humboldt Universität, Charité, Berlin, Germany.
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