001     153575
005     20240229123044.0
024 7 _ |a 10.1007/s00103-020-03096-w
|2 doi
024 7 _ |a pmid:32020361
|2 pmid
024 7 _ |a 1436-9990
|2 ISSN
024 7 _ |a 1437-1588
|2 ISSN
024 7 _ |a altmetric:75040379
|2 altmetric
037 _ _ |a DKFZ-2020-00319
041 _ _ |a ger
082 _ _ |a 610
100 1 _ |a Fischer, Beate
|b 0
245 _ _ |a [Anthropometric measures in the German National Cohort-more than weight and height].
260 _ _ |a Heidelberg
|c 2020
|b Springer
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1583757367_1923
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
500 _ _ |a 2020 Mar;63(3):290-300
520 _ _ |a 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% of men and 29.7% of women were overweight and 23.5% of men and 21.2% of women were obese. On average, women in almost all age groups demonstrated more subcutaneous adipose tissue layer thickness than men. The mean values of visceral adipose tissue layer thickness, on the other hand, were higher among men than among women in all age groups and increased continuously across age groups in both sexes.The comprehensive assessment of body composition and fat distribution provides novel future opportunities for detailed epidemiologic analyses of overweight and adiposity in relation to the development of chronic diseases.
536 _ _ |a 313 - Cancer risk factors and prevention (POF3-313)
|0 G:(DE-HGF)POF3-313
|c POF3-313
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed,
700 1 _ |a Sedlmeier, Anja M
|b 1
700 1 _ |a Hartwig, Saskia
|b 2
700 1 _ |a Schlett, Christopher L
|b 3
700 1 _ |a Ahrens, Wolfgang
|b 4
700 1 _ |a Bamberg, Fabian
|b 5
700 1 _ |a Baurecht, Hansjörg
|b 6
700 1 _ |a Becher, Heiko
|b 7
700 1 _ |a Berger, Klaus
|b 8
700 1 _ |a Binder, Hans
|b 9
700 1 _ |a Bohn, Barbara
|b 10
700 1 _ |a Carr, Prudence R
|0 P:(DE-He78)7d7ee36ed0313bbc4c91bc3df5950107
|b 11
|u dkfz
700 1 _ |a Castell, Stefanie
|b 12
700 1 _ |a Franzke, Claus-Werner
|b 13
700 1 _ |a Fricke, Julia
|b 14
700 1 _ |a Gastell, Sylvia
|b 15
700 1 _ |a Greiser, Karin Halina
|0 P:(DE-He78)e0ac0d57cdb66d87f2d95ae5f6178c1b
|b 16
|u dkfz
700 1 _ |a Günther, Kathrin
|b 17
700 1 _ |a Jaeschke, Lina
|b 18
700 1 _ |a Kaaks, Rudolf
|0 P:(DE-He78)4b2dc91c9d1ac33a1c0e0777d0c1697a
|b 19
|u dkfz
700 1 _ |a Kemmling, Yvonne
|b 20
700 1 _ |a Krist, Lilian
|b 21
700 1 _ |a Kuß, Oliver
|b 22
700 1 _ |a Legath, Nicole
|b 23
700 1 _ |a Lieb, Wolfgang
|b 24
700 1 _ |a Linseisen, Jakob
|b 25
700 1 _ |a Löffler, Markus
|b 26
700 1 _ |a Michels, Karin B
|b 27
700 1 _ |a Mikolajczyk, Rafael
|b 28
700 1 _ |a Niedermaier, Tobias
|0 P:(DE-He78)20dc4ad11ff465acf5b99f1e679e10b7
|b 29
|u dkfz
700 1 _ |a Norman, Kristina
|b 30
700 1 _ |a Obi, Nadia
|b 31
700 1 _ |a Peters, Annette
|b 32
700 1 _ |a Pischon, Tobias
|b 33
700 1 _ |a Schikowski, Tamara
|b 34
700 1 _ |a Schipf, Sabine
|b 35
700 1 _ |a Schmidt, Börge
|b 36
700 1 _ |a Schulze, Matthias B
|b 37
700 1 _ |a Stang, Andreas
|b 38
700 1 _ |a Stojicic, Jelena
|b 39
700 1 _ |a Tiller, Daniel
|b 40
700 1 _ |a Völzke, Henry
|b 41
700 1 _ |a Waniek, Sabina
|b 42
700 1 _ |a Leitzmann, Michael F
|b 43
773 _ _ |a 10.1007/s00103-020-03096-w
|0 PERI:(DE-600)1470303-8
|n 3
|p 290-300
|t Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
|v 63
|y 2020
|x 1437-1588
909 C O |p VDB
|o oai:inrepo02.dkfz.de:153575
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 11
|6 P:(DE-He78)7d7ee36ed0313bbc4c91bc3df5950107
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 16
|6 P:(DE-He78)e0ac0d57cdb66d87f2d95ae5f6178c1b
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 19
|6 P:(DE-He78)4b2dc91c9d1ac33a1c0e0777d0c1697a
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 29
|6 P:(DE-He78)20dc4ad11ff465acf5b99f1e679e10b7
913 1 _ |a DE-HGF
|l Krebsforschung
|1 G:(DE-HGF)POF3-310
|0 G:(DE-HGF)POF3-313
|2 G:(DE-HGF)POF3-300
|v Cancer risk factors and prevention
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|b Gesundheit
914 1 _ |y 2020
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b BUNDESGESUNDHEITSBLA : 2017
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
920 1 _ |0 I:(DE-He78)C070-20160331
|k C070
|l C070 Klinische Epidemiologie und Alternf.
|x 0
920 1 _ |0 I:(DE-He78)C020-20160331
|k C020
|l C020 Epidemiologie von Krebs
|x 1
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)C070-20160331
980 _ _ |a I:(DE-He78)C020-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21