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 st...
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| Vydané v: | Diagnostics (Basel) Ročník 13; číslo 15; s. 2594 |
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04.08.2023
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| Abstract | 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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| AbstractList | 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.BACKGROUNDThe 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.METHODSWe 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%).RESULTSThree-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.CONCLUSIONSThese results suggest that the prevalence of obesity may be underestimated using the standard method of tape measurements, highlighting the need for more accurate approaches. 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. 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. |
| Audience | Academic |
| Author | Friedrich, Nele Radke, Dörte Schipf, Sabine Völzke, Henry Ittermann, Till Nauck, Matthias Kosilek, Robert P. |
| AuthorAffiliation | 1 Institute for Community Medicine, University Medicine Greifswald, 17475 Greifswald, Germany 4 German Center for Diabetes Research, Partner Site Greifswald, 17475 Greifswald, Germany 5 Institute for Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, 17475 Greifswald, Germany 6 German Center for Cardiovascular Research, Partner Site Greifswald, 17475 Greifswald, Germany 3 Institute for Medical Information Processing, Biometry and Epidemiology (IBE), LMU Munich, 81377 Munich, Germany 2 Institute of General Practice and Family Medicine, University Hospital, LMU Munich, 80336 Munich, Germany |
| AuthorAffiliation_xml | – name: 4 German Center for Diabetes Research, Partner Site Greifswald, 17475 Greifswald, Germany – name: 1 Institute for Community Medicine, University Medicine Greifswald, 17475 Greifswald, Germany – name: 6 German Center for Cardiovascular Research, Partner Site Greifswald, 17475 Greifswald, Germany – name: 3 Institute for Medical Information Processing, Biometry and Epidemiology (IBE), LMU Munich, 81377 Munich, Germany – name: 2 Institute of General Practice and Family Medicine, University Hospital, LMU Munich, 80336 Munich, Germany – name: 5 Institute for Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, 17475 Greifswald, Germany |
| Author_xml | – sequence: 1 givenname: Robert P. surname: Kosilek fullname: Kosilek, Robert P. – sequence: 2 givenname: Till surname: Ittermann fullname: Ittermann, Till – sequence: 3 givenname: Dörte surname: Radke fullname: Radke, Dörte – sequence: 4 givenname: Sabine surname: Schipf fullname: Schipf, Sabine – sequence: 5 givenname: Matthias surname: Nauck fullname: Nauck, Matthias – sequence: 6 givenname: Nele surname: Friedrich fullname: Friedrich, Nele – sequence: 7 givenname: Henry surname: Völzke fullname: Völzke, Henry |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/37568957$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1177/096228029900800204 10.7717/peerj.2980 10.1038/ijo.2011.51 10.1507/endocrj.52.139 10.1111/j.1470-6431.2007.00626.x 10.1210/jc.2009-1584 10.1017/S0007114599001348 10.1017/S0029665115004206 10.1007/BF01324255 10.1109/MC.2007.225 10.1016/S0895-4356(02)00433-X 10.1371/journal.pone.0119430 10.1111/cpf.12152 10.1016/j.clnu.2004.04.005 10.1016/S0140-6736(86)90837-8 10.1093/oxfordjournals.aje.a115372 10.1093/ije/dyp394 10.1038/srep26672 10.1093/ije/26.suppl_1.S174 10.1016/j.ypmed.2008.06.012 10.1038/sj.ijo.0803685 10.1080/07315724.2010.10719832 10.1093/ije/dyac034 10.1371/journal.pone.0159887 10.1371/journal.pone.0106134 10.1038/sj.ijo.0803727 10.1111/j.1600-0846.2009.00374.x 10.1161/CIRCULATIONAHA.109.192644 10.1016/j.gaitpost.2012.06.031 10.1093/ajcn/83.4.809 |
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| Keywords | diagnostic techniques and procedures metabolic syndrome body weights and measures anthropometry obesity |
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| SubjectTerms | Abdomen Accuracy Agreements Analysis Anthropometry Blood pressure Body fat Body mass index body weights and measures Cholesterol diagnostic techniques and procedures Drug therapy Glucose High density lipoprotein Hypertension Lasers Males Metabolic syndrome Obesity Scanning devices Software Triglycerides |
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| Title | Laser-Based 3D Body Scanning Reveals a Higher Prevalence of Abdominal Obesity than Tape Measurements: Results from a Population-Based Sample |
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