Comparing digital anthropometrics from mobile applications to reference methods: a scoping review.

IF 3.6 3区 医学 Q2 NUTRITION & DIETETICS
Irismar Gonçalves Almeida da Encarnação, Matheus Santos Cerqueira, Paulo Henrique Ribeiro Fernandes Almeida, Cláudia Eliza Patrocínio de Oliveira, Analiza Mónica Lopes de Almeida Silva, Diego Augusto Santos Silva, Steven B Heymsfield, Osvaldo Costa Moreira
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Abstract

This scoping review aimed to assess the repeatability and accuracy of Digital Anthropometry by Mobile Application (DAM) compared to reference methods for estimating anthropometric dimensions, body volume (BV), and body composition. A comprehensive search was conducted on December 8th, 2024, without restrictions on language, time, sex, ethnicity, age, or health condition. We found 14 different DAMs across the 23 included studies. Reference methods for each estimated variable were: (a) Body circumferences-tape measure; (b) body mass-calibrated scale; (c) body length-stadiometer; (d) BV-Underwater Weighing; (e) percentage of body fat-Dual energy x-ray absorptiometry (DXA), BOD POD, 3, 4, and 5-compartment models; (f) fat mass and fat-free mass-DXA, 3 and 4-compartment models; (g) appendicular Lean Mass-DXA. DAMs demonstrated high repeatability and accuracy at a mean level in most studies. However, their accuracy is lower at individual-level analysis and for tracking changes over time. Estimated BV showed high accuracy compared to UWW (SEE = 0.68; MD = 0.04 to 0.1; LoA = 2.86), including the BV-derived DAMs integrated into alternative multi-compartment models compared to reference methods. As relatively new methods, DAMs offer numerous possibilities and areas for exploration in future studies. However, caution is advised due to their potentially low or unknown accuracy at the individual level.

比较从移动应用程序到参考方法的数字人体测量学:范围审查。
本综述旨在评估移动应用程序(DAM)的数字人体测量的可重复性和准确性,并与参考方法进行比较,以估计人体测量尺寸、身体体积(BV)和身体成分。全面搜索于2024年12月8日进行,不受语言、时间、性别、种族、年龄或健康状况的限制。我们在23项纳入的研究中发现了14种不同的dam。每个估计变量的参考方法为:(a)体围-卷尺测量;(b)身体质量校准刻度;(c)体长测速仪;(d)水下称重;(e)体脂百分比-双能x线吸收仪(DXA), BOD POD, 3、4和5室模型;(f)脂肪质量和无脂肪质量- dxa, 3室和4室模型;(g)阑尾Lean Mass-DXA。在大多数研究中,dam在平均水平上显示出较高的重复性和准确性。然而,它们在个人层面的分析和跟踪随时间变化时的准确性较低。与UWW相比,估计BV具有较高的准确性(SEE = 0.68;MD = 0.04 ~ 0.1;LoA = 2.86),包括与参考方法相比,bv导出的大坝集成到替代的多室模型中。作为一种相对较新的方法,dam为未来的研究提供了许多可能性和探索领域。然而,由于其在个人层面上的准确性可能较低或未知,建议谨慎。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
10.60
自引率
2.10%
发文量
189
审稿时长
3-6 weeks
期刊介绍: The European Journal of Clinical Nutrition (EJCN) is an international, peer-reviewed journal covering all aspects of human and clinical nutrition. The journal welcomes original research, reviews, case reports and brief communications based on clinical, metabolic and epidemiological studies that describe methodologies, mechanisms, associations and benefits of nutritional interventions for clinical disease and health promotion. Topics of interest include but are not limited to: Nutrition and Health (including climate and ecological aspects) Metabolism & Metabolomics Genomics and personalized strategies in nutrition Nutrition during the early life cycle Health issues and nutrition in the elderly Phenotyping in clinical nutrition Nutrition in acute and chronic diseases The double burden of ''malnutrition'': Under-nutrition and Obesity Prevention of Non Communicable Diseases (NCD)
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