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Bitte verwenden Sie diesen Link, wenn Sie dieses Dokument zitieren oder verlinken wollen: https://nbn-resolving.org/urn:nbn:de:gbv:9-opus-87926

Laser-Based 3D Body Scanning Reveals a Higher Prevalence of Abdominal Obesity than Tape Measurements: Results from a Population-Based Sample

  • Background: The global obesity epidemic is a major public health concern, and accurate diagnosis is essential for identifying at-risk individuals. Three-dimensional (3D) body scanning technology offers several advantages over the standard practice of tape measurements for diagnosing obesity. This study was conducted to validate body scan data from a German population-based cohort and explore clinical implications of this technology in the context of metabolic syndrome. Methods: We performed a cross-sectional analysis of 354 participants from the Study of Health in Pomerania that completed a 3D body scanning examination. The agreement of anthropometric data obtained from 3D body scanning with manual tape measurements was analyzed using correlation analysis and Bland–Altman plots. Classification agreement regarding abdominal obesity based on IDF guidelines was assessed using Cohen’s kappa. The association of body scan measures with metabolic syndrome components was explored using correlation analysis. Results: Three-dimensional body scanning showed excellent validity with slightly larger values that presumably reflect the true circumferences more accurately. Metabolic syndrome was highly prevalent in the sample (31%) and showed strong associations with central obesity. Using body scan vs. tape measurements of waist circumference for classification resulted in a 16% relative increase in the prevalence of abdominal obesity (61.3% vs. 52.8%). Conclusions: These results suggest that the prevalence of obesity may be underestimated using the standard method of tape measurements, highlighting the need for more accurate approaches.

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Metadaten
Author: Robert P. Kosilek, Till IttermannORCiD, Dörte Radke, Sabine Schipf, Matthias NauckORCiD, Nele FriedrichORCiD, Henry VölzkeORCiD
URN:urn:nbn:de:gbv:9-opus-87926
DOI:https://doi.org/10.3390/diagnostics13152594
ISSN:2075-4418
Parent Title (English):Diagnostics
Publisher:MDPI
Place of publication:Basel
Document Type:Article
Language:English
Date of first Publication:2023/08/04
Release Date:2024/01/30
Tag:anthropometry; body weights and measures; diagnostic techniques and procedures; metabolic syndrome; obesity
Volume:13
Issue:15
Article Number:2594
Page Number:10
Faculties:Universitätsmedizin / Institut für Community Medicine
Collections:Artikel aus DFG-gefördertem Publikationsfonds
Licence (German):License LogoCreative Commons - Namensnennung