Large-scale assessment of physical activity in a population using high-resolution hip-worn accelerometry: the German National Cohort (NAKO)
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Large-scale assessment of physical activity in a population using high-resolution hip-worn accelerometry: the German National Cohort (NAKO). / Weber, Andrea; van Hees, Vincent T; Stein, Michael J; Gastell, Sylvia; Steindorf, Karen; Herbolsheimer, Florian; Ostrzinski, Stefan; Pischon, Tobias; Brandes, Mirko; Krist, Lilian; Marschollek, Michael; Greiser, Karin Halina; Nimptsch, Katharina; Brandes, Berit; Jochem, Carmen; Sedlmeier, Anja M; Berger, Klaus; Brenner, Hermann; Buck, Christoph; Castell, Stefanie; Dörr, Marcus; Emmel, Carina; Fischer, Beate; Flexeder, Claudia; Harth, Volker; Hebestreit, Antje; Heise, Jana-Kristin; Holleczek, Bernd; Keil, Thomas; Koch-Gallenkamp, Lena; Lieb, Wolfgang; Meinke-Franze, Claudia; Michels, Karin B; Mikolajczyk, Rafael; Kluttig, Alexander; Obi, Nadia; Peters, Annette; Schmidt, Börge; Schipf, Sabine; Schulze, Matthias B; Teismann, Henning; Waniek, Sabina; Willich, Stefan N; Leitzmann, Michael F; Baurecht, Hansjörg.
in: SCI REP-UK, Jahrgang 14, Nr. 1, 04.04.2024, S. 7927.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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TY - JOUR
T1 - Large-scale assessment of physical activity in a population using high-resolution hip-worn accelerometry: the German National Cohort (NAKO)
AU - Weber, Andrea
AU - van Hees, Vincent T
AU - Stein, Michael J
AU - Gastell, Sylvia
AU - Steindorf, Karen
AU - Herbolsheimer, Florian
AU - Ostrzinski, Stefan
AU - Pischon, Tobias
AU - Brandes, Mirko
AU - Krist, Lilian
AU - Marschollek, Michael
AU - Greiser, Karin Halina
AU - Nimptsch, Katharina
AU - Brandes, Berit
AU - Jochem, Carmen
AU - Sedlmeier, Anja M
AU - Berger, Klaus
AU - Brenner, Hermann
AU - Buck, Christoph
AU - Castell, Stefanie
AU - Dörr, Marcus
AU - Emmel, Carina
AU - Fischer, Beate
AU - Flexeder, Claudia
AU - Harth, Volker
AU - Hebestreit, Antje
AU - Heise, Jana-Kristin
AU - Holleczek, Bernd
AU - Keil, Thomas
AU - Koch-Gallenkamp, Lena
AU - Lieb, Wolfgang
AU - Meinke-Franze, Claudia
AU - Michels, Karin B
AU - Mikolajczyk, Rafael
AU - Kluttig, Alexander
AU - Obi, Nadia
AU - Peters, Annette
AU - Schmidt, Börge
AU - Schipf, Sabine
AU - Schulze, Matthias B
AU - Teismann, Henning
AU - Waniek, Sabina
AU - Willich, Stefan N
AU - Leitzmann, Michael F
AU - Baurecht, Hansjörg
N1 - © 2024. The Author(s).
PY - 2024/4/4
Y1 - 2024/4/4
N2 - 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.
AB - 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.
KW - Male
KW - Humans
KW - Female
KW - Reproducibility of Results
KW - Accelerometry
KW - Exercise
KW - Calibration
KW - Hip
U2 - 10.1038/s41598-024-58461-5
DO - 10.1038/s41598-024-58461-5
M3 - SCORING: Journal article
C2 - 38575636
VL - 14
SP - 7927
JO - SCI REP-UK
JF - SCI REP-UK
SN - 2045-2322
IS - 1
ER -