Framework and baseline examination of the German National Cohort (NAKO)
Creators: name: Peters, Annette
name: Greiser, Karin Halina
name: Göttlicher, Susanne
name: Ahrens, Wolfgang
name: Albrecht, Maren
name: Bamberg, Fabian
name: Bärnighausen, Till
name: Becher, Heiko
name: Berger, Klaus
name: Beule, Achim Georg
name: Böing, Heiner
name: Bohn, Barbara
name: Bohnert, Kerstin
name: Braun, Bettina
name: Brenner, Hermann
name: Bülow, Robin
name: Castell, Stefanie
name: Damms Machado, Antje
name: Dörr, Marcus
name: Ebert, Nina
name: Ecker, Margit
name: Emmel, Carina
name: Fischer, Beate
name: Franzke, Claus-Werner
name: Gastell, Sylvia
name: Giani, Guido
name: Günther, Matthias
name: Günther, Kathrin
name: Günther, Klaus-Peter
name: Haerting, Johannes
name: Haug, Ulrike
name: Heid, Iris M.
name: Heier, Margit
name: Heinemeyer, Diana
name: Hendel, Thomas
name: Herbolsheimer, Florian
name: Hirsch, Jochen
name: Hoffmann, Wolfgang
name: Holleczek, Bernd
name: Hölling, Heike
name: Hörlein, Andreas
name: Jöckel, Karl-Heinz
name: Kaaks, Rudolf
name: Karch, André
name: Karrasch, Stefan
name: Kartschmit, Nadja
name: Kauczor, Hans-Ulrich
name: Keil, Thomas
name: Kemmling-Kerić, Yvonne
name: Klee, Bianca
name: Klüppelholz, Birgit
name: Kluttig, Alexander
name: Kofink, Lisa
name: Köttgen, Anna
name: Kraft, Daniel
name: Krause, Gérard
name: Kretz, Lisa
name: Krist, Lilian
name: Kühnisch, Jan
name: Kuß, Oliver
name: Legath, Nicole
name: Lehnich, Anna-Therese
name: Leitzmann, Michael
name: Lieb, Wolfgang
name: Linseisen, Jakob
name: Löffler, Markus
name: Macdonald, Anke
name: Maier-Hein, Klaus H.
name: Mangold, Nina
name: Meinke-Franze, Claudia
name: Meisinger, Christa
name: Melzer, Juliane
name: Mergarten, Björn
name: Michels, Karin
name: Mikolajczyk, Rafael
name: Moebus, Susanne
name: Mueller, Ulrich
name: Nauck, Matthias
name: Niendorf, Thoralf
name: Nikolaou, Konstantin
name: Obi, Nadia
name: Ostrzinski, Stefan
name: Panreck, Leo
name: Pigeot, Iris
name: Pischon, Tobias
name: Pschibul-Thamm, Irene
name: Rathmann, Wolfgang
name: Reineke, Achim
name: Roloff, Stefanie
name: Rujescu, Dan
name: Rupf, Stefan
name: Sander, Oliver
name: Schikowski, Tamara
name: Schipf, Sabine
name: Schirmacher, Peter
name: Schlett, Christopher L.
name: Schmidt, Börge
name: Schmidt, Georg
name: Schmidt, Martin
name: Schöne, Gina
name: Schulz, Holger
name: Schulze, Matthias Bernd
name: Schweig, Alexandra
name: Sedlmeier, Anja
name: Selder, Sonja
name: Six-Merker, Julia
name: Sowade, Ramona Felizitas
name: Stang, Andreas
name: Stegle, Oliver
name: Steindorf, Karen
name: Stübs, Gunthard
name: Swart, Enno
name: Teismann, Henning
name: Thiele, Inke
name: Thierry, Sigrid
name: Ueffing, Marius
name: Völzke, Henry
name: Waniek, Sabina
name: Weber, Andrea
name: Werner, Nicole
name: Wichmann, Heinz Erich
name: Willich, Stefan N.
name: Wirkner, Kerstin
name: Wolf, Kathrin
name: Wolff, Robert
name: Zeeb, Hajo
name: Zinkhan, Melanie
name: Zschocke, Johannes
Publisher: name: Universitäts- und Landesbibliothek Sachsen-Anhalt
Year: 2022
Subjects: subject: 610

description: 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.