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Weber, A.* ; van Hees, V.T.* ; Stein, M.J.* ; Gastell, S.* ; Steindorf, K.* ; Herbolsheimer, F.* ; Ostrzinski, S.* ; Pischon, T.* ; Brandes, M.* ; Krist, L.* ; Marschollek, M.* ; Greiser, K.H.* ; Nimptsch, K.* ; Brandes, B.* ; Jochem, C.* ; Sedlmeier, A.M.* ; Berger, K.* ; Brenner, H.* ; Buck, C.* ; Castell, S.* ; Dörr, M.* ; Emmel, C.* ; Fischer, B.* ; Flexeder, C. ; Harth, V.* ; Hebestreit, A.* ; Heise, J.K.* ; Holleczek, B.* ; Keil, T.* ; Koch-Gallenkamp, L.* ; Lieb, W.* ; Meinke-Franze, C.* ; Michels, K.B.* ; Mikolajczyk, R.* ; Kluttig, A.* ; Obi, N.* ; Peters, A. ; Schmidt, B.* ; Schipf, S.* ; Schulze, M.B.* ; Teismann, H.* ; Waniek, S.* ; Willich, S.N.* ; Leitzmann, M.F.* ; Baurecht, H.*

Large-scale assessment of physical activity in a population using high-resolution hip-worn accelerometry: The German National Cohort (NAKO).

Sci. Rep. 14:7927 (2024)
Publ. Version/Full Text DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
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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Publication type Article: Journal article
Document type Scientific Article
Keywords Sedentary Behavior; Wrist; Comparability; Acceleration; Association
Language english
Publication Year 2024
HGF-reported in Year 2024
ISSN (print) / ISBN 2045-2322
e-ISSN 2045-2322
Journal Scientific Reports
Quellenangaben Volume: 14, Issue: 1, Pages: , Article Number: 7927 Supplement: ,
Publisher Nature Publishing Group
Publishing Place London
Reviewing status Peer reviewed
Institute(s) Institute of Epidemiology (EPI)
POF-Topic(s) 30202 - Environmental Health
Research field(s) Genetics and Epidemiology
PSP Element(s) G-504000-009
G-504000-010
Grants Universitt Regensburg (3161)
DOI 10.1038/s41598-024-58461-5
WOS ID 001197575500051
Scopus ID 85189643438
PubMed ID 38575636
Erfassungsdatum 2024-04-12
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