Framework and baseline examination of the German National Cohort (NAKO)

  1. Peters, Annette ORCID logo
  2. Greiser, Karin Halina
  3. Göttlicher, Susanne
  4. Martins, Filipe ORCID logo
  5. Albrecht, Maren
  6. Bamberg, Fabian
  7. Bäringhausen, Till
  8. Becher, Heiko
  9. Berger, Klaus
  10. Beule, Achim
  11. Boeing, Heiner
  12. Bohn, Barbara
  13. Bohnert, Kerstin
  14. Braun, Bettina
  15. Brenner, Hermann
  16. Bülow, Robin
  17. Castell, Stefanie
  18. Damms-Machado, Antje
  19. Dörr, Marcus
  20. Ebert, Nina
  21. Ecker, Margit
  22. Emmel, Carina
  23. Fischer, Beate
  24. Franzke, Claus-Werner
  25. Gastell, Sylvia
  26. Giani, Guido
  27. Günther, Matthias
  28. Günther, Kathrin
  29. Günther, Klaus-Peter
  30. Haerting, Johannes
  31. Haug, Ulrike ORCID logo
  32. Heid, Iris
  33. Heier, Margit
  34. Heinemeyer, Diana
  35. Hendel, Thomas
  36. Herbolsheimer, Florian
  37. Hirsch, Jochen
  38. Hoffmann, Wolfgang
  39. Holleczek, Bernd
  40. Hölling, Heike
  41. Hörlein, Andreas
  42. Jöckel, Karl-Heinz
  43. Kaaks, Rudolf
  44. Karch, André
  45. Karrasch, Stefan
  46. Kartschmit, Nadja
  47. Kauczor, Hans-Ulrich
  48. Keil, Thomas
  49. Kemmling, Yvonne
  50. Klee, Bianca
  51. Klüppelholz, Birgit
  52. Kluttig, Alexander
  53. Kofink, Lisa
  54. Köttgen, Anna
  55. Kraft, Daniel
  56. Krause, Gérard
  57. Kretz, Lisa
  58. Krist, Lilian
  59. Kühnisch, Jan
  60. Kuß, Oliver
  61. Legath, Nicole
  62. Lehnich, Anna-Therese
  63. Leitzmann, Michael
  64. Lieb, Wolfgang
  65. Linseisen, Jakob
  66. Löffler, Markus
  67. Macdonald, Anke
  68. Maier-Hein, Klaus
  69. Mangold, Nina
  70. Meinke-Franze, Claudia
  71. Meisinger, Christa
  72. Melzer, Juliane
  73. Mergarten, Björn
  74. Michels, Karin
  75. Mikolajczyk, Rafael
  76. Moebus, Susanne
  77. Mueller, Ulrich
  78. Nauck, Matthias
  79. Niendorf, Thoralf
  80. Nikolaou, Konstantin
  81. Obi, Nadia
  82. Ostrzinski, Stefan
  83. Panreck, Leo
  84. Pigeot, Iris ORCID logo
  85. Pischon, Tobias
  86. Pschibul-Thamm, Irene
  87. Rathmann, Wolfgang
  88. Reineke, Achim ORCID logo
  89. Roloff, Stefanie
  90. Rujescu, Dan
  91. Rupf, Stefan
  92. Sander, Oliver
  93. Schikowski, Tamara
  94. Schipf, Sabine
  95. Schirmacher, Peter
  96. Schlett, Christopher L.
  97. Schmidt, Börge
  98. Schmidt, Georg
  99. Schmidt, Martin
  100. Schöne, Gina
  101. Schulz, Holger
  102. Schulze, Matthias B.
  103. Schweig, Alexandra
  104. Sedlmeier, Anja M.
  105. Selder, Sonja
  106. Six-Merker, Julia
  107. Sowade, Ramona
  108. Stang, Andreas
  109. Stegle, Oliver
  110. Steindorf, Karen
  111. Stübs, Gunthard
  112. Swart, Enno
  113. Teismann, Henning
  114. Thiele, Inke
  115. Thierry, Sigrid
  116. Ueffing, Marius
  117. Völzke, Henry
  118. Waniek, Sabina
  119. Weber, Andrea
  120. Werner, Nicole
  121. Wichmann, Heinz-Erich
  122. Willich, Stefan N.
  123. Wirkner, Kerstin
  124. Wolf, Kathrin
  125. Wolff, Robert
  126. Zeeb, Hajo ORCID logo
  127. Zinkhan, Melanie
  128. Zschocke, Johannes

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WeightNameValue
1000 Titel
  • Framework and baseline examination of the German National Cohort (NAKO)
1000 Autor/in
  1. Peters, Annette |
  2. Greiser, Karin Halina |
  3. Göttlicher, Susanne |
  4. Martins, Filipe |
  5. Albrecht, Maren |
  6. Bamberg, Fabian |
  7. Bäringhausen, Till |
  8. Becher, Heiko |
  9. Berger, Klaus |
  10. Beule, Achim |
  11. Boeing, Heiner |
  12. Bohn, Barbara |
  13. Bohnert, Kerstin |
  14. Braun, Bettina |
  15. Brenner, Hermann |
  16. Bülow, Robin |
  17. Castell, Stefanie |
  18. Damms-Machado, Antje |
  19. Dörr, Marcus |
  20. Ebert, Nina |
  21. Ecker, Margit |
  22. Emmel, Carina |
  23. Fischer, Beate |
  24. Franzke, Claus-Werner |
  25. Gastell, Sylvia |
  26. Giani, Guido |
  27. Günther, Matthias |
  28. Günther, Kathrin |
  29. Günther, Klaus-Peter |
  30. Haerting, Johannes |
  31. Haug, Ulrike |
  32. Heid, Iris |
  33. Heier, Margit |
  34. Heinemeyer, Diana |
  35. Hendel, Thomas |
  36. Herbolsheimer, Florian |
  37. Hirsch, Jochen |
  38. Hoffmann, Wolfgang |
  39. Holleczek, Bernd |
  40. Hölling, Heike |
  41. Hörlein, Andreas |
  42. Jöckel, Karl-Heinz |
  43. Kaaks, Rudolf |
  44. Karch, André |
  45. Karrasch, Stefan |
  46. Kartschmit, Nadja |
  47. Kauczor, Hans-Ulrich |
  48. Keil, Thomas |
  49. Kemmling, Yvonne |
  50. Klee, Bianca |
  51. Klüppelholz, Birgit |
  52. Kluttig, Alexander |
  53. Kofink, Lisa |
  54. Köttgen, Anna |
  55. Kraft, Daniel |
  56. Krause, Gérard |
  57. Kretz, Lisa |
  58. Krist, Lilian |
  59. Kühnisch, Jan |
  60. Kuß, Oliver |
  61. Legath, Nicole |
  62. Lehnich, Anna-Therese |
  63. Leitzmann, Michael |
  64. Lieb, Wolfgang |
  65. Linseisen, Jakob |
  66. Löffler, Markus |
  67. Macdonald, Anke |
  68. Maier-Hein, Klaus |
  69. Mangold, Nina |
  70. Meinke-Franze, Claudia |
  71. Meisinger, Christa |
  72. Melzer, Juliane |
  73. Mergarten, Björn |
  74. Michels, Karin |
  75. Mikolajczyk, Rafael |
  76. Moebus, Susanne |
  77. Mueller, Ulrich |
  78. Nauck, Matthias |
  79. Niendorf, Thoralf |
  80. Nikolaou, Konstantin |
  81. Obi, Nadia |
  82. Ostrzinski, Stefan |
  83. Panreck, Leo |
  84. Pigeot, Iris |
  85. Pischon, Tobias |
  86. Pschibul-Thamm, Irene |
  87. Rathmann, Wolfgang |
  88. Reineke, Achim |
  89. Roloff, Stefanie |
  90. Rujescu, Dan |
  91. Rupf, Stefan |
  92. Sander, Oliver |
  93. Schikowski, Tamara |
  94. Schipf, Sabine |
  95. Schirmacher, Peter |
  96. Schlett, Christopher L. |
  97. Schmidt, Börge |
  98. Schmidt, Georg |
  99. Schmidt, Martin |
  100. Schöne, Gina |
  101. Schulz, Holger |
  102. Schulze, Matthias B. |
  103. Schweig, Alexandra |
  104. Sedlmeier, Anja M. |
  105. Selder, Sonja |
  106. Six-Merker, Julia |
  107. Sowade, Ramona |
  108. Stang, Andreas |
  109. Stegle, Oliver |
  110. Steindorf, Karen |
  111. Stübs, Gunthard |
  112. Swart, Enno |
  113. Teismann, Henning |
  114. Thiele, Inke |
  115. Thierry, Sigrid |
  116. Ueffing, Marius |
  117. Völzke, Henry |
  118. Waniek, Sabina |
  119. Weber, Andrea |
  120. Werner, Nicole |
  121. Wichmann, Heinz-Erich |
  122. Willich, Stefan N. |
  123. Wirkner, Kerstin |
  124. Wolf, Kathrin |
  125. Wolff, Robert |
  126. Zeeb, Hajo |
  127. Zinkhan, Melanie |
  128. Zschocke, Johannes |
1000 Mitwirkende/r
  1. The German National Cohort (NAKO) Consortium |
1000 Erscheinungsjahr 2022
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2022-10-19
1000 Erschienen in
1000 Quellenangabe
  • 37(10):1107-1124
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2022
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s10654-022-00890-5 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581448/ |
1000 Ergänzendes Material
  • https://link.springer.com/article/10.1007/s10654-022-00890-5#Sec24 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • The German National Cohort (NAKO) is a multidisciplinary, population-based prospective cohort study that aims to investigate the causes of widespread diseases, identify risk factors and improve early detection and prevention of disease. Specifically, NAKO is designed to identify novel and better characterize established risk and protection factors for the development of cardiovascular diseases, cancer, diabetes, neurodegenerative and psychiatric diseases, musculoskeletal diseases, respiratory and infectious diseases in a random sample of the general population. Between 2014 and 2019, a total of 205,415 men and women aged 19–74 years were recruited and examined in 18 study centres in Germany. The baseline assessment included a face-to-face interview, self-administered questionnaires and a wide range of biomedical examinations. Biomaterials were collected from all participants including serum, EDTA plasma, buffy coats, RNA and erythrocytes, urine, saliva, nasal swabs and stool. In 56,971 participants, an intensified examination programme was implemented. Whole-body 3T magnetic resonance imaging was performed in 30,861 participants on dedicated scanners. NAKO collects follow-up information on incident diseases through a combination of active follow-up using self-report via written questionnaires at 2–3 year intervals and passive follow-up via record linkages. All study participants are invited for re-examinations at the study centres in 4–5 year intervals. Thereby, longitudinal information on changes in risk factor profiles and in vascular, cardiac, metabolic, neurocognitive, pulmonary and sensory function is collected. NAKO is a major resource for population-based epidemiology to identify new and tailored strategies for early detection, prediction, prevention and treatment of major diseases for the next 30 years.
1000 Sacherschließung
lokal Communicable diseases
lokal Epidemiology
lokal Functional impairments
lokal Life-style and socio-economic factors
lokal Pre-clinical disease
lokal Magnetic resonance imaging
lokal Non-communicable diseases
lokal Population-based cohort
lokal Psychosocial factors
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
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1000 Label
1000 Förderer
  1. Projekt DEAL |
  2. Bundesministerium für Bildung und Forschung |
  3. Helmholtz-Gemeinschaft |
  4. Leibniz-Gemeinschaft |
1000 Fördernummer
  1. -
  2. 01ER1301A/B/C; 01ER1511D
  3. -
  4. -
1000 Förderprogramm
  1. Open Access funding
  2. -
  3. -
  4. -
1000 Dateien
  1. Framework and baseline examination of the German National Cohort (NAKO)
    Framework and baseline examination of the German National Cohort (NAKO)
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Projekt DEAL |
    1000 Förderprogramm Open Access funding
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Bildung und Forschung |
    1000 Förderprogramm -
    1000 Fördernummer 01ER1301A/B/C; 01ER1511D
  3. 1000 joinedFunding-child
    1000 Förderer Helmholtz-Gemeinschaft |
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1000 Erstellt am 2023-02-24T13:32:17.165+0100
1000 Erstellt von 266
1000 beschreibt frl:6440408
1000 Bearbeitet von 317
1000 Zuletzt bearbeitet 2023-02-24T14:42:09.549+0100
1000 Objekt bearb. Fri Feb 24 14:40:43 CET 2023
1000 Vgl. frl:6440408
1000 Oai Id
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1000 Sichtbarkeit Metadaten public
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