Trial reportPloS one2015
Measurement of waist and hip circumference with a body surface scanner: feasibility, validity, reliability, and correlations with markers of the metabolic syndrome.
Trial report in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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
47 citing papers in PubMed, 1 synthesis or guideline pooled it, 87 citations in OpenAlex.
- Comparison of Body Scanner and Manual Anthropometric Measurements of Body Shape: A Systematic Review.International journal of environmental research and public health · 2021Pooled it
- Trial
- Agreement and repeatability between manual anthropometry and mobile 3D digital anthropometry in young adults.Journal of the International Society of Sports Nutrition · 2026Article
- Intestinal Microbiome, Fecal Fermentation Profile, and Health Indices in HIV-Positive Men Versus Normal Controls Without HIV.Nutrients · 2026Article
- Association Between Anthropometric Indices and Presence of Type 2 Diabetes Mellitus in Obesity.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026Article
- Better BMI: Novel Digital Anthropometry Equations for Adiposity Assessment in the Chinese Population.Phenomics (Cham, Switzerland) · 2026Article
- Reference intervals for blood concentrations of folate-related biomarkers in early pregnancy among pregnant women in Qingdao.BMC pregnancy and childbirth · 2026Article
- 3D body shape-based phenotyping for precision risk stratification of metabolic syndrome.Lipids in health and disease · 2026Article
- Immediate Effect of Whole-Body Vibration Exercise Performed in Vertical Versus Side-Alternating Displacement Modes on Physiological Parameters, Perception of Effort, Strength and Functionality in Adults with Obesity.Diagnostics (Basel, Switzerland) · 2026Article
- Dietary and plasma atherogenic and thrombogenic indices and cardiometabolic risk factors among overweight and individuals with obesity.BMC endocrine disorders · 2025Article
- The Male Gaze Explored: Ranking Thinness and Attractiveness of Female Body Shapes.Journal for person-oriented research · 2025Article
- Digital Biometry as an Obesity Diagnosis Tool: A Review of Current Applications and Future Directions.Life (Basel, Switzerland) · 2024Review
- How Do Genetic and Environmental Factors Influence Cardiometabolic Risk Factors? Findings from the Isfahan Twins Study.Journal of research in health sciences · 2024Article
- Predicting mechanical neck pain intensity in computer professionals using machine learning: identification and correlation of key features.Frontiers in public health · 2024Article
- Associations between 3D surface scanner derived anthropometric measurements and body composition in a cross-sectional study.European journal of clinical nutrition · 2023Article
- Evaluation of automated anthropometrics produced by smartphone-based machine learning: a comparison with traditional anthropometric assessments.The British journal of nutrition · 2023Article
- Associations between visceral adipose tissue estimates produced by near-infrared spectroscopy, mobile anthropometrics, and traditional body composition assessments and estimates derived from dual-energy X-ray absorptiometry.The British journal of nutrition · 2023Article
- Laser-Based 3D Body Scanning Reveals a Higher Prevalence of Abdominal Obesity than Tape Measurements: Results from a Population-Based Sample.Diagnostics (Basel, Switzerland) · 2023Article
- The Preventiometer - reliability of a cardiovascular multi-device measurement platform and its measurement agreement with a cohort study.BMC medical research methodology · 2023Article
- System for Estimation of Human Anthropometric Parameters Based on Data from Kinect v2 Depth Camera.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveBody surface scanners (BS), which visualize a 3D image of the human body, facilitate the computation of numerous body measures, including height, waist circumference (WC) and hip circumference (HC). However, limited information is available regarding validity and reliability of these automated measurements (AM) and their correlation with parameters of the Metabolic Syndrome (MetS) compared to traditional manual measurements (MM).
methodsAs part of a cross-sectional feasibility study, AM of WC, HC and height were assessed twice in 60 participants using a 3D BS (VitussmartXXL). Additionally, MM were taken by trained personnel according to WHO guidelines. Participants underwent an interview, bioelectrical impedance analysis, and blood pressure measurement. Blood samples were taken to determine HbA1c, HDL-cholesterol, triglycerides, and uric acid. Validity was assessed based on the agreement between AM and MM, using Bland-Altman-plots, correlation analysis, and paired t-tests. Reliability was assessed using intraclass correlation coefficients (ICC) based on two repeated AM. Further, we calculated age-adjusted Pearson correlation for AM and MM with fat mass, systolic blood pressure, HbA1c, HDL-cholesterol, triglycerides, and uric acid.
resultsBody measures were higher in AM compared to MM but both measurements were strongly correlated (WC, men, difference = 1.5 cm, r = 0.97; women, d = 4.7 cm, r = 0.96; HC, men, d = 2.3 cm, r = 0.97; women, d = 3.0 cm; r = 0.98). Reliability was high for all AM (nearly all ICC>0.98). Correlations of WC, HC, and the waist-to-hip ratio (WHR) with parameters of MetS were similar between AM and MM; for example the correlation of WC assessed by AM with HDL-cholesterol was r = 0.35 in men, and r = -0.48 in women, respectively whereas correlation of WC measured manually with HDL cholesterol was r = -0.41 in men, and r = -0.49 in women, respectively.
conclusionsAlthough AM of WC, HC, and WHR are higher when compared to MM based on WHO guidelines, our data indicate good validity, excellent reliability, and similar correlations to parameters of the MetS.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.