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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},
}