Kosilek Robert P, Ittermann Till, Radke Dörte, Schipf Sabine, Nauck Matthias, Friedrich Nele, Völzke Henry
Institute for Community Medicine, University Medicine Greifswald, 17475 Greifswald, Germany.
Institute of General Practice and Family Medicine, University Hospital, LMU Munich, 80336 Munich, Germany.
Diagnostics (Basel). 2023 Aug 4;13(15):2594. doi: 10.3390/diagnostics13152594.
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.
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.
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%).
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.
全球肥胖流行是一个主要的公共卫生问题,准确诊断对于识别高危个体至关重要。三维(3D)人体扫描技术在诊断肥胖方面比标准的卷尺测量方法具有多个优势。本研究旨在验证来自德国基于人群队列的人体扫描数据,并探讨该技术在代谢综合征背景下的临床意义。
我们对来自波美拉尼亚健康研究的354名参与者进行了横断面分析,这些参与者完成了3D人体扫描检查。使用相关分析和布兰德-奥特曼图分析从3D人体扫描获得的人体测量数据与手动卷尺测量数据的一致性。使用科恩kappa系数评估基于国际糖尿病联盟(IDF)指南的腹部肥胖分类一致性。使用相关分析探讨人体扫描测量与代谢综合征组分之间的关联。
三维人体扫描显示出极佳的有效性,其值略大,可能更准确地反映了真实周长。代谢综合征在样本中高度流行(31%),并与中心性肥胖有很强的关联。使用人体扫描与卷尺测量腰围进行分类,导致腹部肥胖患病率相对增加16%(61.3%对52.8%)。
这些结果表明,使用标准的卷尺测量方法可能低估肥胖患病率,突出了需要更准确方法的必要性。