ArticleClinical nutrition (Edinburgh, Scotland)2022
Assessment of clinical measures of total and regional body composition from a commercial 3-dimensional optical body scanner.
Article in Clinical nutrition (Edinburgh, Scotland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
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Who cites it
31 citing papers in PubMed, 1 synthesis or guideline 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
- Smartphone prediction of skeletal muscle mass: model development and validation in adults.The American journal of clinical nutrition · 2023Trial
- Preliminary study on the application of bioimpedance analysis to measure the psoas major muscle in older adults.PloS one · 2023Trial
- Clinical Assessment of Obesity Beyond Body Mass Index: Adiposity Evaluation, Body-Composition Phenotyping and Disease Staging: A Narrative Review.Diagnostics (Basel, Switzerland) · 2026Review
- Diagnosis, staging and management of obesity: a synthesis of contemporary guidelines.Nature reviews. Endocrinology · 2026Review
- Abdominal posture biases 3D optical imaging measurements while bioelectrical impedance analysis remains unaffected.Clinical nutrition ESPEN · 2026Article
- Better BMI: Novel Digital Anthropometry Equations for Adiposity Assessment in the Chinese Population.Phenomics (Cham, Switzerland) · 2026Article
- Biomechanical and physiological biomarkers are useful indicators of military personnel readiness: a multi-institutional, multinational research collaboration.BMJ military health · 2025Review
- The Critical Role of Body Composition Assessment in Advancing Research and Clinical Health Risk Assessment across the Lifespan.Journal of obesity & metabolic syndrome · 2025Review
- D3BT: Dynamic 3D Body Transformer for Body Fat Percentage Assessment.IEEE journal of biomedical and health informatics · 2025Article
- Effect of Strength Training on Body Composition, Volumetrics and Strength in Female Breast Cancer Survivors.Healthcare (Basel, Switzerland) · 2024Article
- 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
- Prediction of total and regional body composition from 3D body shape.NPJ digital medicine · 2024Article
- Trunk-to-leg volume and appendicular lean mass from a commercial 3-dimensional optical body scanner for disease risk identification.Clinical nutrition (Edinburgh, Scotland) · 2024Article
- Sex-Specific Associations of Five Serum Essential Metal Elements with Thyroid Nodules in Euthyroid Adults: a Cross‑sectional Study.Biological trace element research · 2024Article
- Digital Biometry as an Obesity Diagnosis Tool: A Review of Current Applications and Future Directions.Life (Basel, Switzerland) · 2024Review
- Priorities for efficacy trials of gender-affirming hormone therapy with estrogen: collaborative design and results of a community survey.Hormones (Athens, Greece) · 2024Article
- Advances in digital anthropometric body composition assessment: neural network algorithm prediction of appendicular lean mass.European journal of clinical nutrition · 2024Article
- Associations between 47 anthropometric markers derived from a body scanner and relative fat-free mass in a population-based study.BMC public health · 2024Article
- Patient perceptions of three-dimensional (3D) surface imaging technology and traditional methods used to assess anthropometry.Obesity pillars · 2024Article
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11 authors.
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Abstract
backgroundThe accurate assessment of total body and regional body circumferences, volumes, and compositions are critical to monitor physical activity and dietary interventions, as well as accurate disease classifications including obesity, metabolic syndrome, sarcopenia, and lymphedema. We assessed body composition and anthropometry estimates provided by a commercial 3-dimensional optical (3DO) imaging system compared to criterion measures.
methodsParticipants of the Shape Up! Adults study were recruited for similar sized stratifications by sex, age (18-40, 40-60, >60 years), BMI (under, normal, overweight, obese), and across five ethnicities (non-Hispanic [NH] Black, NH White, Hispanic, Asian, Native Hawaiian/Pacific Islander). All participants received manual anthropometry assessments, duplicate whole-body 3DO (Styku S100), and dual-energy X-ray absorptiometry (DXA) scans. 3DO estimates provided by the manufacturer for anthropometry and body composition were compared to the criterion measures using concordance correlation coefficient (CCC) and Bland-Altman analysis. Test-retest precision was assessed by root mean square error (RMSE) and coefficient of variation.
resultsA total of 188 (102 female) participants were included. The overall fat free mass (FFM) as measured by DXA (54.1 ± 15.2 kg) and 3DO (55.3 ± 15.0 kg) showed a small mean difference of 1.2 ± 3.4 kg (95% limits of agreement -7.0 to +5.6) and the CCC was 0.97 (95% CI: 0.96-0.98). The CCC for FM was 0.95 (95% CI: 0.94-0.97) and the mean difference of 1.3 ± 3.4 kg (95% CI: -5.5 to +8.1) reflected the difference in FFM measures. 3DO anthropometry and body composition measurements showed high test-retest precision for whole body volume (1.1 L), fat mass (0.41 kg), percent fat (0.60%), arm and leg volumes, (0.11 and 0.21 L, respectively), and waist and hip circumferences (all <0.60 cm). No group differences were observed when stratified by body mass index, sex, or race/ethnicity.
conclusionsThe anthropometric and body composition estimates provided by the 3DO scanner are precise and accurate to criterion methods if offsets are considered. This method offers a rapid, broadly available, and automated method of body composition assessment regardless of body size. Further studies are recommended to examine the relationship between measurements obtained by 3DO scans and metabolic health in healthy and clinical populations.
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