TY  - JOUR
AU  - Fischer, Beate
AU  - Sedlmeier, Anja M
AU  - Hartwig, Saskia
AU  - Schlett, Christopher L
AU  - Ahrens, Wolfgang
AU  - Bamberg, Fabian
AU  - Baurecht, Hansjörg
AU  - Becher, Heiko
AU  - Berger, Klaus
AU  - Binder, Hans
AU  - Bohn, Barbara
AU  - Carr, Prudence R
AU  - Castell, Stefanie
AU  - Franzke, Claus-Werner
AU  - Fricke, Julia
AU  - Gastell, Sylvia
AU  - Greiser, Karin Halina
AU  - Günther, Kathrin
AU  - Jaeschke, Lina
AU  - Kaaks, Rudolf
AU  - Kemmling, Yvonne
AU  - Krist, Lilian
AU  - Kuß, Oliver
AU  - Legath, Nicole
AU  - Lieb, Wolfgang
AU  - Linseisen, Jakob
AU  - Löffler, Markus
AU  - Michels, Karin B
AU  - Mikolajczyk, Rafael
AU  - Niedermaier, Tobias
AU  - Norman, Kristina
AU  - Obi, Nadia
AU  - Peters, Annette
AU  - Pischon, Tobias
AU  - Schikowski, Tamara
AU  - Schipf, Sabine
AU  - Schmidt, Börge
AU  - Schulze, Matthias B
AU  - Stang, Andreas
AU  - Stojicic, Jelena
AU  - Tiller, Daniel
AU  - Völzke, Henry
AU  - Waniek, Sabina
AU  - Leitzmann, Michael F
TI  - [Anthropometric measures in the German National Cohort-more than weight and height].
JO  - Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
VL  - 63
IS  - 3
SN  - 1437-1588
CY  - Heidelberg
PB  - Springer
M1  - DKFZ-2020-00319
SP  - 290-300
PY  - 2020
N1  - 2020 Mar;63(3):290-300
AB  - 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
LB  - PUB:(DE-HGF)16
C6  - pmid:32020361
DO  - DOI:10.1007/s00103-020-03096-w
UR  - https://inrepo02.dkfz.de/record/153575
ER  -