Scientific Reports (Apr 2024)
Large-scale assessment of physical activity in a population using high-resolution hip-worn accelerometry: the German National Cohort (NAKO)
- Andrea Weber,
- Vincent T. van Hees,
- Michael J. Stein,
- Sylvia Gastell,
- Karen Steindorf,
- Florian Herbolsheimer,
- Stefan Ostrzinski,
- Tobias Pischon,
- Mirko Brandes,
- Lilian Krist,
- Michael Marschollek,
- Karin Halina Greiser,
- Katharina Nimptsch,
- Berit Brandes,
- Carmen Jochem,
- Anja M. Sedlmeier,
- Klaus Berger,
- Hermann Brenner,
- Christoph Buck,
- Stefanie Castell,
- Marcus Dörr,
- Carina Emmel,
- Beate Fischer,
- Claudia Flexeder,
- Volker Harth,
- Antje Hebestreit,
- Jana-Kristin Heise,
- Bernd Holleczek,
- Thomas Keil,
- Lena Koch-Gallenkamp,
- Wolfgang Lieb,
- Claudia Meinke-Franze,
- Karin B. Michels,
- Rafael Mikolajczyk,
- Alexander Kluttig,
- Nadia Obi,
- Annette Peters,
- Börge Schmidt,
- Sabine Schipf,
- Matthias B. Schulze,
- Henning Teismann,
- Sabina Waniek,
- Stefan N. Willich,
- Michael F. Leitzmann,
- Hansjörg Baurecht
Affiliations
- Andrea Weber
- Department of Epidemiology and Preventive Medicine, University of Regensburg
- Vincent T. van Hees
- Accelting
- Michael J. Stein
- Department of Epidemiology and Preventive Medicine, University of Regensburg
- Sylvia Gastell
- NAKO Study Center, German Institute of Human Nutrition Potsdam-Rehbruecke
- Karen Steindorf
- Division of Physical Activity, Prevention and Cancer, German Cancer Research Center (DKFZ)
- Florian Herbolsheimer
- Division of Physical Activity, Prevention and Cancer, German Cancer Research Center (DKFZ)
- Stefan Ostrzinski
- Institute for Community Medicine, University Medicine Greifswald
- Tobias Pischon
- Molecular Epidemiology Research Group, Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC)
- Mirko Brandes
- Leibniz Institute for Prevention Research and Epidemiology – BIPS
- Lilian Krist
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin
- Michael Marschollek
- Hannover Medical School, Peter L. Reichertz Institute for Medical Informatics
- Karin Halina Greiser
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ)
- Katharina Nimptsch
- Molecular Epidemiology Research Group, Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC)
- Berit Brandes
- Leibniz Institute for Prevention Research and Epidemiology – BIPS
- Carmen Jochem
- Department of Epidemiology and Preventive Medicine, University of Regensburg
- Anja M. Sedlmeier
- Department of Epidemiology and Preventive Medicine, University of Regensburg
- Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster
- Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ)
- Christoph Buck
- Leibniz Institute for Prevention Research and Epidemiology – BIPS
- Stefanie Castell
- Department for Epidemiology, Helmholtz Centre for Infection Research (HZI)
- Marcus Dörr
- Department of Internal Medicine B, University Medicine Greifswald
- Carina Emmel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen
- Beate Fischer
- Department of Epidemiology and Preventive Medicine, University of Regensburg
- Claudia Flexeder
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH)
- Volker Harth
- Institute for Occupational and Maritime Medicine Hamburg (ZfAM), University Medical Center Hamburg-Eppendorf (UKE)
- Antje Hebestreit
- Leibniz Institute for Prevention Research and Epidemiology – BIPS
- Jana-Kristin Heise
- Department for Epidemiology, Helmholtz Centre for Infection Research (HZI)
- Bernd Holleczek
- Saarland Cancer Registry
- Thomas Keil
- Institute of Clinical Epidemiology and Biometry, University of Würzburg
- Lena Koch-Gallenkamp
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ)
- Wolfgang Lieb
- Institute of Epidemiology, Kiel University
- Claudia Meinke-Franze
- Institute for Community Medicine, University Medicine Greifswald
- Karin B. Michels
- Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg
- Rafael Mikolajczyk
- Institute for Medical Epidemiology, Biometrics, and Informatics, Medical Faculty of the Martin-Luther-University Halle-Wittenberg
- Alexander Kluttig
- Institute for Medical Epidemiology, Biometrics, and Informatics, Medical Faculty of the Martin-Luther-University Halle-Wittenberg
- Nadia Obi
- Institute for Occupational and Maritime Medicine Hamburg (ZfAM), University Medical Center Hamburg-Eppendorf (UKE)
- Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH)
- Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen
- Sabine Schipf
- Institute for Community Medicine, University Medicine Greifswald
- Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke
- Henning Teismann
- Institute of Epidemiology and Social Medicine, University of Münster
- Sabina Waniek
- Institute of Epidemiology, Kiel University
- Stefan N. Willich
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin
- Michael F. Leitzmann
- Department of Epidemiology and Preventive Medicine, University of Regensburg
- Hansjörg Baurecht
- Department of Epidemiology and Preventive Medicine, University of Regensburg
- DOI
- https://doi.org/10.1038/s41598-024-58461-5
- Journal volume & issue
-
Vol. 14,
no. 1
pp. 1 – 13
Abstract
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.
