Anthropometric measures in the German National Cohort-more than weight and height

被引：0

作者：

Fischer, Beate ^{[1
]}

Sedlmeier, Anja M. ^{[1
]}

Hartwig, Saskia ^{[2
]}

Schlett, Christopher L. ^{[3
]}

Ahrens, Wolfgang ^{[4
,5
]}

Bamberg, Fabian ^{[3
]}

Baurecht, Hansjoerg ^{[1
]}

Becher, Heiko ^{[6
]}

Berger, Klaus ^{[7
]}

Binder, Hans ^{[8
]}

Bohn, Barbara ^{[9
]}

Carr, Prudence R. ^{[10
]}

Castell, Stefanie ^{[11
]}

Franzke, Claus-Werner ^{[12
]}

Fricke, Julia ^{[13
]}

Gastell, Sylvia ^{[14
]}

Greiser, Karin Halina ^{[15
]}

Guenther, Kathrin ^{[4
]}

Jaeschke, Lina ^{[16
]}

Kaaks, Rudolf ^{[15
]}

Kemmling, Yvonne ^{[11
]}

Krist, Lilian ^{[13
]}

Kuss, Oliver ^{[17
]}

Legath, Nicole ^{[7
]}

Lieb, Wolfgang ^{[18
]}

Linseisen, Jakob ^{[19
,20
]}

Loeffler, Markus ^{[21
]}

Michels, Karin B. ^{[12
]}

Mikolajczyk, Rafael ^{[2
]}

Niedermaier, Tobias ^{[10
]}

Norman, Kristina ^{[22
,23
]}

Obi, Nadia ^{[6
]}

Peters, Annette ^{[24
]}

Pischon, Tobias ^{[16
,25
,26
,27
,28
]}

Schikowski, Tamara ^{[29
]}

Schipf, Sabine ^{[30
]}

Schmidt, Boerge ^{[31
]}

Schulze, Matthias B. ^{[32
]}

Stang, Andreas ^{[31
]}

Stojicic, Jelena ^{[24
]}

Tiller, Daniel ^{[2
]}

Voelzke, Henry ^{[30
]}

Waniek, Sabina ^{[18
]}

Leitzmann, Michael F. ^{[1
]}

机构：

[1] Univ Regensburg, Inst Epidemiol & Pravent Med, Franz Josef Strauss Allee 11, D-93053 Regensburg, Germany

[2] Martin Luther Univ Halle Wittenberg, Inst Med Epidemiol Biometrie & Informat, Halle, Saale, Germany

[3] Albert Ludwigs Univ Freiburg, Klin Diagnost & Intervent Radiol, Univ Klinikum Freiburg, Fak Med, Freiburg, Germany

[4] BIPS, Leibniz Inst Pravent Forsch & Epidemiol, Bremen, Germany

[5] Univ Bremen, Inst Stat, Fachbereich Math & Informat, Bremen, Germany

[6] Univ Klinikum Hamburg Eppendorf, Inst Med Biometrie & Epidemiol, Hamburg, Germany

[7] Univ Munster, Inst Epidemiol & Sozialmed, Munster, Germany

[8] Univ Leipzig, Interdisziplinares Zentrum Bioinformat IZBI, Leipzig, Germany

[9] NAKO eV, Heidelberg, Germany

[10] Deutsch Krebsforschungszentrum DKFZ, Abt Klin Epidemiol & Alternsforsch, Heidelberg, Germany

[11] Helmholtz Zentrum Infekt Forsch HZI, Abt Epidemiol, Braunschweig, Germany

[12] Albert Ludwigs Univ Freiburg, Inst Pravent & Tumorepidemiol, Univ Klinikum Freiburg, Fak Med, Freiburg, Germany

[13] Charite Univ Med Berlin, Inst Sozialmed Epidemiol & Gesundheitsokon, Berlin, Germany

[14] Deutsch Inst Ernahrungsforsch DIfE, NAKO Studienzentrum, Nuthetal, Germany

[15] Deutsch Krebsforschungszentrum DKFZ, Abt Epidemiol Krebserkrankungen, Heidelberg, Germany

[16] Max Delbruck Ctr Mol Med Helmholtz Gemeinschaft M, Forschergrp Mol Epidemiol, Berlin, Germany

[17] Heinrich Heine Univ Dusseldorf, Inst Biometrie & Epidemiol, DDZ, Leibniz Zentrum Diabet Forsch, Dusseldorf, Germany

[18] Christian Albrechts Univ Kiel, Inst Epidemiol, Kiel, Germany

[19] LMU Munchen, UNIKA T Augsburg, Lehrstuhl Epidemiol, Augsburg, Germany

[20] Helmholtz Zentrum Munchen, SFG Klin Epidemiol, Neuherberg, Germany

[21] Univ Leipzig, IMISE, Leipzig, Germany

[22] Charite Univ Med Berlin, AG Ernahrung & Korperzusammensetzung, Forsch Grp Geriatrie, Berlin, Germany

[23] Deutsch Inst Ernahrungsforsch DIfE, Abt Ernahrung & Gerontol, Nuthetal, Germany

[24] Helmholtz Zentrum Munchen, Inst Epidemiol, Neuherberg, Germany

[25] Charite Univ Med Berlin, Berlin, Germany

[26] Deutsch Zentrum Herz Kreislauf Forsch DZHK, Partnerstandort Berlin, Berlin, Germany

[27] Max Delbruck Ctr Mol Med Helmholtz Gemeinschaft M, MDC BIH Biobank, Berlin, Germany

[28] BIH, Berlin, Germany

[29] IUF Leibniz Inst Umweltmed Forsch, Dusseldorf, Germany

[30] Univ Med Greifswald, Inst Community Med, Greifswald, Germany

[31] Univ Klinikum Essen, IMIBE, Essen, Germany

[32] Deutsch Inst Ernahrungsforschung DIfE, Abt Mol Epidemiol, Nuthetal, Germany

来源：

BUNDESGESUNDHEITSBLATT-GESUNDHEITSFORSCHUNG-GESUNDHEITSSCHUTZ | 2020年 / 63卷 / 03期

关键词：

Anthropometry; Sonography of abdominal fat compartments; 3D body scanning; Magnetic resonance imaging; Population-based cohort; BODY-MASS INDEX; BIOELECTRICAL-IMPEDANCE ANALYSIS; ALL-CAUSE MORTALITY; OBESITY PARADOX; CANCER; FAT; REPRODUCIBILITY; QUANTIFICATION; ASSOCIATION; VALIDATION;

D O I：

10.1007/s00103-020-03096-w

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

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.

引用

页码：290 / 300

页数：11

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