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@ARTICLE{Peters:182170,
      author       = {A. Peters and A. Peters and K. H. Greiser$^*$ and S.
                      Göttlicher and W. Ahrens and M. Albrecht and F. Bamberg and
                      T. Bärnighausen and H. Becher and K. Berger and A. Beule
                      and H. Boeing and B. Bohn and K. Bohnert and B. Braun and H.
                      Brenner$^*$ and R. Bülow and S. Castell and A.
                      Damms-Machado and M. Dörr and N. Ebert and M. Ecker and C.
                      Emmel and B. Fischer and C.-W. Franzke and S. Gastell and G.
                      Giani and M. Günther and K. Günther and K.-P. Günther and
                      J. Haerting and U. Haug and I. M. Heid and M. Heier and D.
                      Heinemeyer and T. Hendel and F. Herbolsheimer$^*$ and J.
                      Hirsch and W. Hoffmann and B. Holleczek and H. Hölling and
                      A. Hörlein and K.-H. Jöckel and R. Kaaks$^*$ and A. Karch
                      and S. Karrasch and N. Kartschmit and H.-U. Kauczor and T.
                      Keil and Y. Kemmling and B. Klee and B. Klüppelholz and A.
                      Kluttig and L. Kofink and A. Köttgen and D. Kraft$^*$ and
                      G. Krause and L. Kretz and L. Krist and J. Kühnisch and O.
                      Kuß and N. Legath and A.-T. Lehnich and M. Leitzmann and W.
                      Lieb and J. Linseisen and M. Loeffler and A. Macdonald and
                      K. H. Maier-Hein$^*$ and N. Mangold and C. Meinke-Franze and
                      C. Meisinger and J. Melzer and B. Mergarten and K. B.
                      Michels and R. Mikolajczyk and S. Moebus and U. Mueller and
                      M. Nauck and T. Niendorf and K. Nikolaou and N. Obi and S.
                      Ostrzinski and L. Panreck and I. Pigeot and T. Pischon and
                      I. Pschibul-Thamm and W. Rathmann and A. Reineke and S.
                      Roloff and D. Rujescu and S. Rupf and O. Sander and T.
                      Schikowski and S. Schipf and P. Schirmacher and C. L.
                      Schlett and B. Schmidt and G. Schmidt and M. Schmidt$^*$ and
                      G. Schöne and H. Schulz and M. B. Schulze and A. Schweig
                      and A. M. Sedlmeier and S. Selder and J. Six-Merker and R.
                      Sowade and A. Stang and O. Stegle$^*$ and K. Steindorf$^*$
                      and G. Stübs and E. Swart and H. Teismann and I. Thiele and
                      S. Thierry and M. Ueffing and H. Völzke and S. Waniek and
                      A. Weber and N. Werner and H.-E. Wichmann and S. N. Willich
                      and K. Wirkner and K. Wolf and R. Wolff and H. Zeeb and M.
                      Zinkhan and J. Zschocke},
      collaboration = {G. N. Cohort},
      title        = {{F}ramework and baseline examination of the {G}erman
                      {N}ational {C}ohort ({NAKO}).},
      journal      = {European journal of epidemiology},
      volume       = {37},
      number       = {10},
      issn         = {0393-2990},
      address      = {Dordrecht [u.a.]},
      publisher    = {Springer Science + Business Media B.V.},
      reportid     = {DKFZ-2022-02473},
      pages        = {1107-1124},
      year         = {2022},
      note         = {2022 Oct;37(10):1107-1124},
      abstract     = {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.},
      keywords     = {Communicable diseases (Other) / Epidemiology (Other) /
                      Functional impairments (Other) / Life-style and
                      socio-economic factors (Other) / Magnetic resonance imaging
                      (Other) / Non-communicable diseases (Other) /
                      Population-based cohort (Other) / Pre-clinical disease
                      (Other) / Psychosocial factors (Other)},
      cin          = {C020 / C070 / C110 / M130 / E230 / B260},
      ddc          = {610},
      cid          = {I:(DE-He78)C020-20160331 / I:(DE-He78)C070-20160331 /
                      I:(DE-He78)C110-20160331 / I:(DE-He78)M130-20160331 /
                      I:(DE-He78)E230-20160331 / I:(DE-He78)B260-20160331},
      pnm          = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
      pid          = {G:(DE-HGF)POF4-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:36260190},
      doi          = {10.1007/s10654-022-00890-5},
      url          = {https://inrepo02.dkfz.de/record/182170},
}