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@ARTICLE{Dragano:153631,
      author       = {N. Dragano and M. Reuter and K. H. Greiser$^*$ and H.
                      Becher and H. Zeeb and R. Mikolajczyk and A. Kluttig and M.
                      Leitzmann and B. Fischer and K.-H. Jöckel and C. Emmel and
                      G. Krause and S. Castell and A. Damms-Machado$^*$ and N. Obi
                      and T. Schikowski and O. Kuss and W. Hoffmann and S. Schipf
                      and T. Pischon and L. Jaeschke and L. Krist and T. Keil and
                      W. Lieb and B. Holleczek$^*$ and H. Brenner$^*$ and K.
                      Wirkner and M. Loeffler and K. B. Michels and C.-W. Franzke
                      and A. Peters and J. Linseisen and K. Berger and N. Legath
                      and W. Ahrens and T. Lampert and B. Schmidt},
      title        = {[{S}ocio-demographic and employment-related factors in the
                      {G}erman {N}ational {C}ohort ({GNC}; {NAKO}
                      {G}esundheitsstudie)].},
      journal      = {Bundesgesundheitsblatt, Gesundheitsforschung,
                      Gesundheitsschutz},
      volume       = {63},
      number       = {3},
      issn         = {1437-1588},
      address      = {Heidelberg},
      publisher    = {Springer},
      reportid     = {DKFZ-2020-00354},
      pages        = {267-278},
      year         = {2020},
      note         = {2020 Mar;63(3):267-278},
      abstract     = {In epidemiologic studies, standardised measurement of
                      socio-demographic and employment-related factors is becoming
                      increasingly important, as variables such as gender, age,
                      education or employment status are factors influencing
                      health and disease risks.The article gives an overview of
                      the scientific background and assessment of
                      socio-demographic factors in the German National Cohort
                      Study. In addition, the distribution of individual
                      characteristics in the cohort as well as relationships with
                      health-related measures are presented by way of example.The
                      analysis is based on the data of the first half of the
                      baseline survey (n = 101,724). On this basis, we present
                      the distribution of key socio-demographic characteristics
                      and analyse relationships with exemplary selected health
                      indicators (body mass index, self-reported health) to assess
                      the validity of socio-demographic data measurements.On
                      average, study participants were 52.0 years old
                      (SD = 12.4). Of the participants, $53.6\%$ were women,
                      $54.3\%$ had high education, $60.1\%$ were married and
                      $72\%$ were employed while $3.4\%$ were unemployed.
                      Well-established correlations between socio-demographic
                      factors and health could be reproduced with the German
                      National Cohort data. For example, low education, old age
                      and unemployment were associated with an increased
                      prevalence of obesity and poor self-reported health.The
                      German National Cohort provides a comprehensive measurement
                      of socio-demographic characteristics. Combined with a wide
                      range of health data and the longitudinal measurements
                      available in the future, this opens up new opportunities for
                      health science and social epidemiological research in
                      Germany.},
      cin          = {C020 / C070 / C120},
      ddc          = {610},
      cid          = {I:(DE-He78)C020-20160331 / I:(DE-He78)C070-20160331 /
                      I:(DE-He78)C120-20160331},
      pnm          = {313 - Cancer risk factors and prevention (POF3-313)},
      pid          = {G:(DE-HGF)POF3-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:32034444},
      doi          = {10.1007/s00103-020-03098-8},
      url          = {https://inrepo02.dkfz.de/record/153631},
}