% 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{Rach:300633,
      author       = {S. Rach and M. Sand and A. Reineke and H. Becher and K. H.
                      Greiser$^*$ and K. Wolf and K. Wirkner and C. O. Schmidt and
                      S. Schipf and K.-H. Jöckel and L. Krist and W. Ahrens and
                      H. Brenner$^*$ and S. Castell and S. Gastell and V. Harth
                      and B. Holleczek and T. Ittermann and S. Janisch-Fabian and
                      A. Karch and T. Keil and C. J. Klett-Tammen and A. Kluttig
                      and O. Kuß and M. Leitzmann and W. Lieb and C.
                      Meinke-Franze and K. B. Michels and R. Mikolajczyk and I.
                      Moreno Velásquez and N. Obi and C. Övermöhle and A.
                      Peters and T. Pischon and S. Rospleszcz and B. Schmidt and
                      M. B. Schulze and A. Stang and H. Teismann and C. Töpfer
                      and R. Wolff and K. Günther},
      title        = {{T}he baseline examinations of the {G}erman {N}ational
                      {C}ohort ({NAKO}): recruitment protocol, response, and
                      weighting.},
      journal      = {European journal of epidemiology},
      volume       = {40},
      number       = {4},
      issn         = {0393-2990},
      address      = {[Cham]},
      publisher    = {Springer Nature Switzerland AG},
      reportid     = {DKFZ-2025-00847},
      pages        = {475-489},
      year         = {2025},
      note         = {2025 Apr;40(4):475-489},
      abstract     = {The German National Cohort (NAKO) is the largest
                      population-based epidemiologic cohort study in Germany and
                      investigates the causes of the most common chronic diseases.
                      Between 2014 and 2019, a total of 1.3 million residents aged
                      20-69 years from 16 German regions were randomly selected
                      from the general population and invited to participate
                      following a highly standardized recruitment protocol. The
                      overall response was $15.6\%$ and differed considerably
                      across study centers $(7.6-30.7\%).$ Females were more
                      likely to participate than males $(17.5\%$ vs. $14.1\%)$ and
                      participation increased with age $(10.2\%$ in age group ' <
                      29 years' up to $20.7\%$ in age group ' > 60 years'). Across
                      all study regions, response was highest in rural areas
                      $(22.3\%),$ followed by towns and suburbs $(17.2\%),$ and
                      was lowest in cities $(14.5\%).$ Compared with the general
                      population in the respective study regions, participants
                      with low and medium education are underrepresented in the
                      NAKO sample, while highly educated participants are
                      overrepresented. Participants with non-German nationality
                      and with a migration background are also underrepresented.
                      Participants living in single households are
                      underrepresented, while participants from larger households
                      (2 or more persons) are overrepresented compared to the
                      general population. Survey weights are made available to
                      researchers along with the study data that account for the
                      sampling design and adjust for differences in the
                      distribution of age, sex, nationality (German vs.
                      non-German), migration status, education, and household
                      size.},
      keywords     = {Cohort studies (Other) / Correction weights (Other) /
                      Epidemiology (Other) / Nonresponse (Other) / Participation
                      (Other) / Population-based (Other) / Response (Other) /
                      Sample design (Other) / Survey weights (Other)},
      cin          = {C020 / C070},
      ddc          = {610},
      cid          = {I:(DE-He78)C020-20160331 / I:(DE-He78)C070-20160331},
      pnm          = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
      pid          = {G:(DE-HGF)POF4-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40259125},
      doi          = {10.1007/s10654-025-01219-8},
      url          = {https://inrepo02.dkfz.de/record/300633},
}