ArticleEuropean journal of clinical nutrition2020
Digital anthropometry via three-dimensional optical scanning: evaluation of four commercially available systems.
Article in European journal of clinical nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Digital Anthropometry: A Systematic Review on Precision, Reliability and Accuracy of Most Popular Existing Technologies.Nutrients · 2023Pooled it
- Comparison of Body Scanner and Manual Anthropometric Measurements of Body Shape: A Systematic Review.International journal of environmental research and public health · 2021Pooled it
- Smartphone prediction of skeletal muscle mass: model development and validation in adults.The American journal of clinical nutrition · 2023Trial
- The Effect of High Intensity Intermittent and Combined (Resistant and Endurance) Trainings on Some Anthropometric Indices and Aerobic Performance in Women with Polycystic Ovary Syndrome: A Randomized Controlled Clinical Trial Study.International journal of fertility & sterility · 2022Trial
- What is measured and what is estimated in body composition? A clarification framework for terminology and interpretation.Reviews in endocrine & metabolic disorders · 2026Review
- Review
- Inferring Body Measurements from 2D Images: A Comprehensive Review.Journal of imaging · 2025Review
- The applicability of a commercial 3DO body scanner in measuring body composition in Chinese adults with overweight and obesity: a secondary analysis based on a weight-loss clinical trial.Journal of the International Society of Sports Nutrition · 2024Article
- Mobile phone applications for 3-dimensional scanning and digital anthropometry: a precision comparison with traditional scanners.European journal of clinical nutrition · 2024Article
- Patient perceptions of three-dimensional (3D) surface imaging technology and traditional methods used to assess anthropometry.Obesity pillars · 2024Article
- Development and Validation of a Method of Body Volume and Fat Mass Estimation Using Three-Dimensional Image Processing with a Mexican Sample.Nutrients · 2024Article
- Translating digital anthropometry measurements obtained from different 3D body image scanners.European journal of clinical nutrition · 2023Review
- Accuracy and Precision of 3-dimensional Optical Imaging for Body Composition by Age, BMI, and Ethnicity.The American journal of clinical nutrition · 2023Observational
- Body shape and performance on the US Army Combat Fitness Test: Insights from a 3D body image scanner.PloS one · 2023Article
- Anthropometric Predictors of Conventional Deadlift Kinematics and Kinetics: A Preliminary Study.International journal of exercise science · 2023Article
- Digital Single-Image Smartphone Assessment of Total Body Fat and Abdominal Fat Using Machine Learning.Sensors (Basel, Switzerland) · 2022Article
- Silhouette images enable estimation of body fat distribution and associated cardiometabolic risk.NPJ digital medicine · 2022Article
- Normalized sensitivity of multi-dimensional body composition biomarkers for risk change prediction.Scientific reports · 2022Article
- Smartphone camera based assessment of adiposity: a validation study.NPJ digital medicine · 2022Article
- Digital Anthropometry for Body Circumference Measurements: European Phenotypic Variations throughout the Decades.Journal of personalized medicine · 2022Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundDigital anthropometry is increasingly accessible due to commercial availability of three-dimensional optical scanners (3DO).
methodsOne hundred and seventy-nine participants were assessed by four 3DO systems (FIT3D®, Size Stream®, Styku®, and Naked Labs®) in duplicate, air displacement plethysmography (ADP), and dual-energy x-ray absorptiometry (DXA). Test-retest precision was evaluated, and validity of total and regional volumes was established.
resultsAll scanners produced precise estimates, with root mean square coefficient of variation (RMS-%CV) of 1.1-1.3% when averaged across circumferences and 1.9-2.3% when averaged across volumes. Precision for circumferences generally decreased in the order of: hip, waist and thigh, chest, neck, and arms. Precision for volumes generally decreased in the order of: total body volume (BV), torso, legs, and arms. Total BV was significantly underestimated by Styku® (constant error [CE]: -10.1 L; root mean square error [RMSE]: 10.5 L) and overestimated by Size Stream® (CE: 8.0 L; RMSE: 8.3 L). Total BV did not differ between ADP and FIT3D® (CE: -3.9 L; RMSE: 4.2 L) or DXA BV equations (CE: 0-1.4 L; RMSE: 0.7-1.5 L). Torso volume was overestimated and leg and arm volumes were underestimated by all 3DO. No total or regional 3DO volume estimates exhibited equivalence with reference methods using 5% equivalence regions, and proportional bias of varying magnitudes was observed.
conclusionsAll 3DO produced precise anthropometric estimates, although variability in specific precision estimates was observed. 3DO BV estimates did not exhibit equivalence with reference methods. Conversely, DXA-derived total BV exhibited superior validity and equivalence with ADP.
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