SynthesisNutrients2023
Digital Anthropometry: A Systematic Review on Precision, Reliability and Accuracy of Most Popular Existing Technologies.
Synthesis in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
19 citing papers in PubMed.
- Agreement and repeatability between manual anthropometry and mobile 3D digital anthropometry in young adults.Journal of the International Society of Sports Nutrition · 2026Article
- What is measured and what is estimated in body composition? A clarification framework for terminology and interpretation.Reviews in endocrine & metabolic disorders · 2026Review
- Assessing body composition via a smartphone computer vision application: High repeatability but method-dependent agreement compared with BODPOD and Inbody.PLOS digital health · 2026Article
- Artificial Intelligence and Digital Technologies in Prakriti Assessment: Toward Standardized Evidence-Based Ayurvedic Practice.Journal of Ayurveda and integrative medicine · 2026Review
- Accelerated Anthropometric Ageing Links Loss of Physical Function and Lower Extremity Body Mass.Journal of cachexia, sarcopenia and muscle · 2026Article
- Feasibility of image-based 3D avatar anthropometry assessment of pediatric obesity: a pilot study.European journal of pediatrics · 2026Article
- Feasibility of image-based 3D avatar anthropometry assessment of pediatric obesity: a pilot study.European journal of pediatrics · 2026Article
- Article
- Better BMI: Novel Digital Anthropometry Equations for Adiposity Assessment in the Chinese Population.Phenomics (Cham, Switzerland) · 2026Article
- Artificial intelligence-driven anthropometric assessment for young children: evaluating the accuracy and practicality of a digital image-based length and weight prediction tool.BMJ health & care informatics · 2025Observational
- Role of Nutrition in Cognitive Development and Academic Performance During Adolescence: A Comprehensive Review.Cureus · 2025Review
- Assessing Trunk Cross-Section Geometry and Spinal Postures with Noninvasive 3D Surface Topography: A Study of 108 Healthy Young Adults.Sensors (Basel, Switzerland) · 2025Article
- Inferring Body Measurements from 2D Images: A Comprehensive Review.Journal of imaging · 2025Review
- ARAN: Age-Restricted Anonymized Dataset of Children Images and Body Measurements.Journal of imaging · 2025Article
- Comparison of Craniofacial Anthropometric Measurement Accuracy of Manual Technique vs. Cone-Beam CT Scanning.Diagnostics (Basel, Switzerland) · 2024Article
- Strengths and Limitations of BMI in the Diagnosis of Obesity: What is the Path Forward?Current obesity reports · 2024Review
- Patient perceptions of three-dimensional (3D) surface imaging technology and traditional methods used to assess anthropometry.Obesity pillars · 2024Article
- Fast and Simple Statistical Shape Analysis of Pregnant Women Using Radial Deformation of a Cylindrical Template.IEEE access : practical innovations, open solutions · 2024Article
- Associations between tri-ponderal mass index, body mass index, and high blood pressure among children and adolescents: a cross-sectional study.Scientific reports · 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
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Digital anthropometry (DA) has been recently developed for body composition evaluation and for postural analysis. The aims of this review are to examine the current state of DA technology, as well as to verify the methods for identifying the best technology to be used in the field of DA by evaluating the reliability and accuracy of the available technologies on the market, and lay the groundwork for future technological developments. A literature search was performed and 28 studies met the inclusion criteria. The reliability and accuracy of DA was high in most studies, especially in the assessment of patients with obesity, although they varied according to the technology used; a good correlation was found between DA and conventional anthropometry (CA) and body composition estimates. DA is less time-consuming and less expensive and could be used as a screening tool before more expensive imaging techniques or as an alternative to other less affordable techniques. At present, DA could be useful in clinical practice, but the heterogeneity of the available studies (different devices used, laser technologies, population examined, etc.) necessitates caution in the interpretation of the obtained results. Furthermore, the need to develop integrated technologies for analyzing body composition according to multi-compartmental models is increasingly evident.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.