Journal Article DKFZ-2020-00319

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

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2020
Springer Heidelberg

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz 63(3), 290-300 () [10.1007/s00103-020-03096-w]
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Abstract: 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.

Classification:

Note: 2020 Mar;63(3):290-300

Contributing Institute(s):
  1. C070 Klinische Epidemiologie und Alternf. (C070)
  2. C020 Epidemiologie von Krebs (C020)
Research Program(s):
  1. 313 - Cancer risk factors and prevention (POF3-313) (POF3-313)

Appears in the scientific report 2020
Database coverage:
Medline ; Clarivate Analytics Master Journal List ; IF < 5 ; JCR ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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 Record created 2020-02-11, last modified 2024-02-29



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