Cassidy McCarthy, Grant M Tinsley, Sophia Ramirez, Steven B Heymsfield
{"title":"超越身体质量指数:准确的代谢疾病风险表型与3D智能手机应用程序。","authors":"Cassidy McCarthy, Grant M Tinsley, Sophia Ramirez, Steven B Heymsfield","doi":"10.1002/osp4.70025","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Smartphone applications (apps) with optical imaging capabilities are transforming the field of physical anthropometry; digital measurements of body size and shape in clinical settings are increasingly feasible. Currently available apps are usually designed around the capture of two-dimensional images that are then transformed with app software to three-dimensional (3D) avatars that can be used for digital anthropometry. The aim of the current study was to compare waist circumference (WC), hip circumference (HC), four other circumferences (right/left upper arm, thigh) and WC/HC evaluated with a novel high-precision 3D smartphone app to ground-truth measurements made with a flexible tape by a trained anthropometrist.</p><p><strong>Methods: </strong>Forty-four participants aged 20-78 years and body mass index 18.5-48.5 kg/m<sup>2</sup> completed digital and manual circumference evaluations and dual-energy X-ray absorptiometry for visceral adipose tissue mass (VAT).</p><p><strong>Results: </strong>3D-digital and ground-truth tape WC, HC, and WC/HC estimates were highly correlated (<i>R</i> <sup>2</sup>s, 0.90-0.97, <i>p</i> < 0.001), mean 3D and tape group means at each site did not differ significantly, mean absolute (± SD) and root-mean square errors were low (e.g., WC, 3.4 ± 2.6 and 4.4 cm), and strong concordance correlations were present (0.90-0.99); bias with Bland-Altman analyses was small but significant (<i>p</i> < 0.001) for WC and WC/HC. Comparable results were observed for the four other circumferences. VAT was equally well-correlated with 3D and tape WC measurements (<i>R</i> <sup>2</sup>s 0.70, 0.69, both <i>p</i> < 0.001); comparable tape-3D VAT-WC/HC associations were also observed in males (<i>R</i> <sup>2</sup>s, 0.85, 0.73, both <i>p</i> < 0.001) and females (<i>R</i> <sup>2</sup>s, 0.43, <i>p</i> < 0.01; 0.73, <i>p</i> < 0.001).</p><p><strong>Conclusions: </strong>Digital anthropometry, with accessible technology such as the evaluated novel 3D app, has reached a sufficiently developed stage to go beyond body mass index for phenotyping patient's metabolic disease risks.</p>","PeriodicalId":19448,"journal":{"name":"Obesity Science & Practice","volume":"10 6","pages":"e70025"},"PeriodicalIF":1.9000,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11606355/pdf/","citationCount":"0","resultStr":"{\"title\":\"Beyond Body Mass Index: Accurate Metabolic Disease-Risk Phenotyping With 3D Smartphone Application.\",\"authors\":\"Cassidy McCarthy, Grant M Tinsley, Sophia Ramirez, Steven B Heymsfield\",\"doi\":\"10.1002/osp4.70025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>Smartphone applications (apps) with optical imaging capabilities are transforming the field of physical anthropometry; digital measurements of body size and shape in clinical settings are increasingly feasible. Currently available apps are usually designed around the capture of two-dimensional images that are then transformed with app software to three-dimensional (3D) avatars that can be used for digital anthropometry. The aim of the current study was to compare waist circumference (WC), hip circumference (HC), four other circumferences (right/left upper arm, thigh) and WC/HC evaluated with a novel high-precision 3D smartphone app to ground-truth measurements made with a flexible tape by a trained anthropometrist.</p><p><strong>Methods: </strong>Forty-four participants aged 20-78 years and body mass index 18.5-48.5 kg/m<sup>2</sup> completed digital and manual circumference evaluations and dual-energy X-ray absorptiometry for visceral adipose tissue mass (VAT).</p><p><strong>Results: </strong>3D-digital and ground-truth tape WC, HC, and WC/HC estimates were highly correlated (<i>R</i> <sup>2</sup>s, 0.90-0.97, <i>p</i> < 0.001), mean 3D and tape group means at each site did not differ significantly, mean absolute (± SD) and root-mean square errors were low (e.g., WC, 3.4 ± 2.6 and 4.4 cm), and strong concordance correlations were present (0.90-0.99); bias with Bland-Altman analyses was small but significant (<i>p</i> < 0.001) for WC and WC/HC. Comparable results were observed for the four other circumferences. VAT was equally well-correlated with 3D and tape WC measurements (<i>R</i> <sup>2</sup>s 0.70, 0.69, both <i>p</i> < 0.001); comparable tape-3D VAT-WC/HC associations were also observed in males (<i>R</i> <sup>2</sup>s, 0.85, 0.73, both <i>p</i> < 0.001) and females (<i>R</i> <sup>2</sup>s, 0.43, <i>p</i> < 0.01; 0.73, <i>p</i> < 0.001).</p><p><strong>Conclusions: </strong>Digital anthropometry, with accessible technology such as the evaluated novel 3D app, has reached a sufficiently developed stage to go beyond body mass index for phenotyping patient's metabolic disease risks.</p>\",\"PeriodicalId\":19448,\"journal\":{\"name\":\"Obesity Science & Practice\",\"volume\":\"10 6\",\"pages\":\"e70025\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-11-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11606355/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Obesity Science & Practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/osp4.70025\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/12/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Obesity Science & Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/osp4.70025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
摘要
目的:具有光学成像功能的智能手机应用程序正在改变人体测量学领域;在临床环境中,身体尺寸和形状的数字测量越来越可行。目前可用的应用程序通常是围绕捕获二维图像设计的,然后通过应用软件将其转换为可用于数字人体测量的三维(3D)化身。当前研究的目的是比较腰围(WC),臀围(HC),其他四个周长(右/左上臂,大腿)和WC/HC,这是用一种新型的高精度3D智能手机应用程序评估的,由训练有素的人体测量学家用柔性胶带进行的真实测量。方法:44名年龄20-78岁,体重指数18.5-48.5 kg/m2的参与者完成了数字和手工围度评估和双能x线吸收仪测量内脏脂肪组织质量(VAT)。结果:3D数字和真实带WC、HC和WC/HC估计值高度相关(R 2s, 0.90-0.97, pp R 2s, 0.70, 0.69, p R 2s, 0.85, 0.73, p R 2s, 0.43, pp)结论:数字人体测量技术,如评估的新型3D应用程序,已经达到了一个足够发达的阶段,可以超越体重指数来分型患者的代谢性疾病风险。
Beyond Body Mass Index: Accurate Metabolic Disease-Risk Phenotyping With 3D Smartphone Application.
Objective: Smartphone applications (apps) with optical imaging capabilities are transforming the field of physical anthropometry; digital measurements of body size and shape in clinical settings are increasingly feasible. Currently available apps are usually designed around the capture of two-dimensional images that are then transformed with app software to three-dimensional (3D) avatars that can be used for digital anthropometry. The aim of the current study was to compare waist circumference (WC), hip circumference (HC), four other circumferences (right/left upper arm, thigh) and WC/HC evaluated with a novel high-precision 3D smartphone app to ground-truth measurements made with a flexible tape by a trained anthropometrist.
Methods: Forty-four participants aged 20-78 years and body mass index 18.5-48.5 kg/m2 completed digital and manual circumference evaluations and dual-energy X-ray absorptiometry for visceral adipose tissue mass (VAT).
Results: 3D-digital and ground-truth tape WC, HC, and WC/HC estimates were highly correlated (R2s, 0.90-0.97, p < 0.001), mean 3D and tape group means at each site did not differ significantly, mean absolute (± SD) and root-mean square errors were low (e.g., WC, 3.4 ± 2.6 and 4.4 cm), and strong concordance correlations were present (0.90-0.99); bias with Bland-Altman analyses was small but significant (p < 0.001) for WC and WC/HC. Comparable results were observed for the four other circumferences. VAT was equally well-correlated with 3D and tape WC measurements (R2s 0.70, 0.69, both p < 0.001); comparable tape-3D VAT-WC/HC associations were also observed in males (R2s, 0.85, 0.73, both p < 0.001) and females (R2s, 0.43, p < 0.01; 0.73, p < 0.001).
Conclusions: Digital anthropometry, with accessible technology such as the evaluated novel 3D app, has reached a sufficiently developed stage to go beyond body mass index for phenotyping patient's metabolic disease risks.