% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Schipf:153707,
      author       = {S. Schipf and G. Schöne and B. Schmidt and K. Günther and
                      G. Stübs and K. H. Greiser$^*$ and F. Bamberg and C.
                      Meinke-Franze and H. Becher and K. Berger and H. Brenner$^*$
                      and S. Castell and A. Damms-Machado$^*$ and B. Fischer and
                      C.-W. Franzke and J. Fricke and S. Gastell and M. Günther
                      and W. Hoffmann and B. Holleczek and L. Jaeschke and A.
                      Jagodzinski and K.-H. Jöckel and R. Kaaks$^*$ and H.-U.
                      Kauczor and Y. Kemmling and A. Kluttig and L. Krist and B.
                      Kurth and O. Kuß and N. Legath and M. Leitzmann and W. Lieb
                      and J. Linseisen and M. Löffler and K. B. Michels and R.
                      Mikolajczyk and I. Pigeot and U. Mueller and A. Peters and
                      S. Rach and T. Schikowski and M. B. Schulze and C. Stallmann
                      and A. Stang and E. Swart and S. Waniek and K. Wirkner and
                      H. Völzke and T. Pischon and W. Ahrens},
      title        = {[{T}he baseline assessment of the {G}erman {N}ational
                      {C}ohort ({NAKO} {G}esundheitsstudie): participation in the
                      examination modules, quality assurance, and the use of
                      secondary data].},
      journal      = {Bundesgesundheitsblatt, Gesundheitsforschung,
                      Gesundheitsschutz},
      volume       = {63},
      number       = {3},
      issn         = {1437-1588},
      address      = {Heidelberg},
      publisher    = {Springer},
      reportid     = {DKFZ-2020-00405},
      pages        = {254-266},
      year         = {2020},
      note         = {2020 Mar;63(3):254-266},
      abstract     = {The German National Cohort (NAKO) is an interdisciplinary
                      health study aimed at elucidating causes for common chronic
                      diseases and detecting their preclinical stages. This
                      article provides an overview of design, methods,
                      participation in the examinations, and their quality
                      assurance based on the midterm baseline dataset (MBD) of the
                      recruitment.More than 200,000 women and men aged
                      20-69 years derived from random samples of the German
                      general population were recruited in 18 study centers
                      (2014-2019). The data collection comprised physical
                      examinations, standardized interviews and questionnaires,
                      and the collection of biomedical samples for all
                      participants (level 1). At least $20\%$ of all participants
                      received additional in-depth examinations (level 2), and
                      30,000 received whole-body magnet resonance imaging (MRI).
                      Additional information will be collected through secondary
                      data sources such as medical registries, health insurances,
                      and pension funds. This overview is based on the MBD, which
                      included 101,839 participants, of whom 11,371 received an
                      MRI.The mean response proportion was $18\%.$ The
                      participation in the examinations was high with most of the
                      modules performed by over $95\%.$ Among MRI participants,
                      $96\%$ completed all 12 MRI sequences. More than $90\%$ of
                      the participants agreed to the use of complementary
                      secondary and registry data.Individuals selected for the
                      NAKO were willing to participate in all examinations despite
                      the time-consuming program. The NAKO provides a central
                      resource for population-based epidemiologic research and
                      will contribute to developing innovative strategies for
                      prevention, screening and prediction of chronic diseases.},
      cin          = {C020 / C070},
      ddc          = {610},
      cid          = {I:(DE-He78)C020-20160331 / I:(DE-He78)C070-20160331},
      pnm          = {313 - Cancer risk factors and prevention (POF3-313)},
      pid          = {G:(DE-HGF)POF3-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:32047976},
      doi          = {10.1007/s00103-020-03093-z},
      url          = {https://inrepo02.dkfz.de/record/153707},
}