ArticleObesity (Silver Spring, Md.)2019
Children and Adolescents' Anthropometrics Body Composition from 3-D Optical Surface Scans.
Article in Obesity (Silver Spring, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.
What it found
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The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
43 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Validity of non-traditional measures of obesity compared to total body fat across the life course: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025Pooled it
- Digital Anthropometry: A Systematic Review on Precision, Reliability and Accuracy of Most Popular Existing Technologies.Nutrients · 2023Pooled it
- Smartphone prediction of skeletal muscle mass: model development and validation in adults.The American journal of clinical nutrition · 2023Trial
- Beyond Deterministic Fetal Programming: Intrauterine Exposures and the Multifactorial Origins of Adiposity.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026Review
- Validation of Smartphone-Based Photogrammetric 3D Body Scanning for Automated Anthropometric Measurements Compared with a Commercial Depth-Sensor-Based Body Scanner.Sensors (Basel, Switzerland) · 2026Article
- Validation of digital anthropometric measurements during pregnancy: a longitudinal study.European journal of clinical nutrition · 2026Article
- Monitoring growth and body composition in children with 3-dimensional optical imaging: a pilot observational study.The American journal of clinical nutrition · 2026Observational
- Better BMI: Novel Digital Anthropometry Equations for Adiposity Assessment in the Chinese Population.Phenomics (Cham, Switzerland) · 2026Article
- Voxel-based Deep Regression for Enhanced Body Composition Estimation from 3D Body Scans.SN computer science · 2026Article
- 3D convolutional deep learning for nonlinear estimation of body composition from whole body morphology.NPJ digital medicine · 2025Article
- Updates on Methods for Body Composition Analysis: Implications for Clinical Practice.Current obesity reports · 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
- Evaluation of body shape as a human body composition assessment in isolated conditions and remote environments.NPJ microgravity · 2024Article
- Mobile phone applications for 3-dimensional scanning and digital anthropometry: a precision comparison with traditional scanners.European journal of clinical nutrition · 2024Article
- Predictors of visceral and subcutaneous adipose tissue and muscle density: The ShapeUp! Kids study.Nutrition, metabolism, and cardiovascular diseases : NMCD · 2024Article
- Patient perceptions of three-dimensional (3D) surface imaging technology and traditional methods used to assess anthropometry.Obesity pillars · 2024Article
- Generative deep learning furthers the understanding of local distributions of fat and muscle on body shape and health using 3D surface scans.Communications medicine · 2024Article
- Infant Body Composition in an Asian Pacific Islander Population.Journal of racial and ethnic health disparities · 2023Article
- Cross-sectional assessment of body composition and detection of malnutrition risk in participants with low body mass index and eating disorders using 3D optical surface scans.The American journal of clinical nutrition · 2023Article
- Associations between 3D surface scanner derived anthropometric measurements and body composition in a cross-sectional study.European journal of clinical nutrition · 2023Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
objectiveThis study aimed to explore the accuracy and precision of three-dimensional optical (3DO) whole-body scanning for automated anthropometry and estimating total and regional body composition.
methodsHealthy children and adolescents (n = 181, ages 5-17 years) were recruited for the Shape Up! Kids study. Each participant underwent whole-body dual-energy x-ray absorptiometry and 3DO scans; multisite conventional tape measurements served as the anthropometric criterion measure. 3DO body shape was described using automated body circumference, length, and volume measures. 3DO estimates were compared with criterion measures using simple linear regression by the stepwise selection method.
resultsOf the 181 participants, 112 were used for the training set, 49 were used for the test set, and 20 were excluded for technical reasons. 3DO body composition estimates were strongly associated with dual-energy x-ray absorptiometry measures for percent body fat, fat mass, and fat-free mass (R
conclusions3DO surface scanning provides accurate and precise anthropometric and body composition estimates in children and adolescents with high precision. 3DO is a safe, accessible, and practical method for evaluating body shape and composition in research and clinical settings.
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