%0 Journal Article
%A Fischer, Beate
%A Sedlmeier, Anja M
%A Hartwig, Saskia
%A Schlett, Christopher L
%A Ahrens, Wolfgang
%A Bamberg, Fabian
%A Baurecht, Hansjörg
%A Becher, Heiko
%A Berger, Klaus
%A Binder, Hans
%A Bohn, Barbara
%A Carr, Prudence R
%A Castell, Stefanie
%A Franzke, Claus-Werner
%A Fricke, Julia
%A Gastell, Sylvia
%A Greiser, Karin Halina
%A Günther, Kathrin
%A Jaeschke, Lina
%A Kaaks, Rudolf
%A Kemmling, Yvonne
%A Krist, Lilian
%A Kuß, Oliver
%A Legath, Nicole
%A Lieb, Wolfgang
%A Linseisen, Jakob
%A Löffler, Markus
%A Michels, Karin B
%A Mikolajczyk, Rafael
%A Niedermaier, Tobias
%A Norman, Kristina
%A Obi, Nadia
%A Peters, Annette
%A Pischon, Tobias
%A Schikowski, Tamara
%A Schipf, Sabine
%A Schmidt, Börge
%A Schulze, Matthias B
%A Stang, Andreas
%A Stojicic, Jelena
%A Tiller, Daniel
%A Völzke, Henry
%A Waniek, Sabina
%A Leitzmann, Michael F
%T [Anthropometric measures in the German National Cohort-more than weight and height].
%J Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
%V 63
%N 3
%@ 1437-1588
%C Heidelberg
%I Springer
%M DKFZ-2020-00319
%P 290-300
%D 2020
%Z 2020 Mar;63(3):290-300
%X High levels of adiposity in the population have a major impact on various diseases, but previous epidemiologic studies have largely been restricted to simple anthropometric measures such as the body mass index (BMI), an imperfect predictor of disease risk. There is a critical need for the use of improved measures of relative weight and body composition in large-scale, population-based research.The current article presents initial descriptive results of body composition and fat distribution based on the midterm baseline dataset of the German National Cohort, which included 101,817 participants who were examined in 18 study centers in Germany between March 2014 and March 2017. The anthropometric measures encompassed body weight, height, waist and hip circumference, bioelectrical impedance analysis (BIA), sonography of abdominal adipose tissue, 3D-body scanning, and magnetic resonance imaging.BMI analyses showed that 46.2
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:32020361
%R 10.1007/s00103-020-03096-w
%U https://inrepo02.dkfz.de/record/153575