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

  1. Weber, Andrea ORCID logo
  2. van Hees, Vincent ORCID logo
  3. Stein, Michael J. ORCID logo
  4. Gastell, Sylvia ORCID logo
  5. Steindorf, Karen ORCID logo
  6. Herbolsheimer, Florian ORCID logo
  7. Ostrzinski, Stefan ORCID logo
  8. Pischon, Tobias ORCID logo
  9. Brandes, Mirko ORCID logo
  10. Krist, Lilian ORCID logo
  11. Marschollek, Michael ORCID logo
  12. Greiser, karin halina ORCID logo
  13. Nimptsch, Katharina ORCID logo
  14. Brandes, Berit ORCID logo
  15. Jochem, Carmen ORCID logo
  16. Sedlmeier, Anja ORCID logo
  17. Berger, Klaus ORCID logo
  18. Brenner, Hermann ORCID logo
  19. Buck, Christoph ORCID logo
  20. Castell, Stefanie ORCID logo
  21. Dörr, Marcus ORCID logo
  22. Emmel, Carina
  23. Fischer, Beate ORCID logo
  24. Flexeder, Claudia ORCID logo
  25. Harth, Volker
  26. Hebestreit, Antje ORCID logo
  27. Heise, Jana-Kristin ORCID logo
  28. Holleczek, Bernd ORCID logo
  29. Keil, Thomas ORCID logo
  30. Koch-Gallenkamp, Lena ORCID logo
  31. Lieb, Wolfgang ORCID logo
  32. Meinke-Franze, Claudia ORCID logo
  33. Michels, Karin B.
  34. Mikolajczyk, Rafael ORCID logo
  35. Kluttig, Alexander ORCID logo
  36. Obi, Nadia ORCID logo
  37. Peters, Annette ORCID logo
  38. Schmidt, Börge
  39. Schipf, Sabine ORCID logo
  40. Schulze, Matthias B. ORCID logo
  41. Teismann, Henning ORCID logo
  42. Waniek, Sabina
  43. Willich, Stefan
  44. Leitzmann, Michael ORCID logo
  45. Baurecht, Hansjörg ORCID logo

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1000 Titel
  • Large-scale assessment of physical activity in a population using high-resolution hip-worn accelerometry: the German National Cohort (NAKO)
1000 Autor/in
  1. Weber, Andrea |
  2. van Hees, Vincent |
  3. Stein, Michael J. |
  4. Gastell, Sylvia |
  5. Steindorf, Karen |
  6. Herbolsheimer, Florian |
  7. Ostrzinski, Stefan |
  8. Pischon, Tobias |
  9. Brandes, Mirko |
  10. Krist, Lilian |
  11. Marschollek, Michael |
  12. Greiser, karin halina |
  13. Nimptsch, Katharina |
  14. Brandes, Berit |
  15. Jochem, Carmen |
  16. Sedlmeier, Anja |
  17. Berger, Klaus |
  18. Brenner, Hermann |
  19. Buck, Christoph |
  20. Castell, Stefanie |
  21. Dörr, Marcus |
  22. Emmel, Carina |
  23. Fischer, Beate |
  24. Flexeder, Claudia |
  25. Harth, Volker |
  26. Hebestreit, Antje |
  27. Heise, Jana-Kristin |
  28. Holleczek, Bernd |
  29. Keil, Thomas |
  30. Koch-Gallenkamp, Lena |
  31. Lieb, Wolfgang |
  32. Meinke-Franze, Claudia |
  33. Michels, Karin B. |
  34. Mikolajczyk, Rafael |
  35. Kluttig, Alexander |
  36. Obi, Nadia |
  37. Peters, Annette |
  38. Schmidt, Börge |
  39. Schipf, Sabine |
  40. Schulze, Matthias B. |
  41. Teismann, Henning |
  42. Waniek, Sabina |
  43. Willich, Stefan |
  44. Leitzmann, Michael |
  45. Baurecht, Hansjörg |
1000 Erscheinungsjahr 2024
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-04-04
1000 Erschienen in
1000 Quellenangabe
  • 14:7927
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1038/s41598-024-58461-5 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10995156/ |
1000 Ergänzendes Material
  • https://www.nature.com/articles/s41598-024-58461-5#Sec14 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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.
1000 Sacherschließung
lokal Epidemiology
lokal Public health
lokal Scientific data
lokal Risk factors
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-4777-7808|https://orcid.org/0000-0003-0182-9008|https://orcid.org/0000-0002-1120-1751|https://orcid.org/0000-0003-2607-2400|https://orcid.org/0000-0001-5215-5651|https://orcid.org/0000-0002-2137-4082|https://orcid.org/0009-0004-6075-1284|https://orcid.org/0000-0003-1568-767X|https://orcid.org/0000-0003-2926-4758|https://orcid.org/0000-0002-6089-5163|https://orcid.org/0000-0002-5921-3073|https://orcid.org/0000-0003-3213-8285|https://orcid.org/0000-0001-7877-205X|https://orcid.org/0000-0002-9313-6593|https://orcid.org/0000-0002-2741-3759|https://orcid.org/0000-0002-7564-3065|https://orcid.org/0000-0001-8966-3684|https://orcid.org/0000-0002-6129-1572|https://orcid.org/0000-0003-0261-704X|https://orcid.org/0000-0003-1762-8462|https://orcid.org/0000-0001-7471-475X|https://frl.publisso.de/adhoc/uri/RW1tZWwsIENhcmluYQ==|https://orcid.org/0000-0002-3011-6886|https://orcid.org/0000-0003-3974-1482|https://frl.publisso.de/adhoc/uri/SGFydGgsIFZvbGtlcg==|https://orcid.org/0000-0001-7354-5958|https://orcid.org/0000-0001-7194-8673|https://orcid.org/0000-0001-8759-4371|https://orcid.org/0000-0002-9108-3360|https://orcid.org/0000-0001-7290-906X|https://orcid.org/0000-0003-2544-4460|https://orcid.org/0000-0001-6137-9702|https://frl.publisso.de/adhoc/uri/TWljaGVscywgS2FyaW4gQi4=|https://orcid.org/0000-0003-1271-7204|https://orcid.org/0000-0003-4446-9938|https://orcid.org/0000-0002-0903-9142|https://orcid.org/0000-0001-6645-0985|https://frl.publisso.de/adhoc/uri/U2NobWlkdCwgQsO2cmdl|https://orcid.org/0000-0002-2700-5317|https://orcid.org/0000-0002-0830-5277|https://orcid.org/0000-0001-5807-5572|https://frl.publisso.de/adhoc/uri/V2FuaWVrLCBTYWJpbmE=|https://frl.publisso.de/adhoc/uri/V2lsbGljaCwgU3RlZmFu|https://orcid.org/0000-0002-0371-2789|https://orcid.org/0000-0002-9265-5594
1000 Label
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  1. Open Access funding
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1000 Erstellt am 2024-08-30T12:15:22.814+0200
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