Cargando…

Digital Anthropometry: A Systematic Review on Precision, Reliability and Accuracy of Most Popular Existing Technologies

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 evaluatin...

Descripción completa

Detalles Bibliográficos
Autores principales: Mocini, Edoardo, Cammarota, Camillo, Frigerio, Francesco, Muzzioli, Luca, Piciocchi, Claudia, Lacalaprice, Doriana, Buccolini, Fabio, Donini, Lorenzo Maria, Pinto, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9864001/
https://www.ncbi.nlm.nih.gov/pubmed/36678173
http://dx.doi.org/10.3390/nu15020302
_version_ 1784875474830229504
author Mocini, Edoardo
Cammarota, Camillo
Frigerio, Francesco
Muzzioli, Luca
Piciocchi, Claudia
Lacalaprice, Doriana
Buccolini, Fabio
Donini, Lorenzo Maria
Pinto, Alessandro
author_facet Mocini, Edoardo
Cammarota, Camillo
Frigerio, Francesco
Muzzioli, Luca
Piciocchi, Claudia
Lacalaprice, Doriana
Buccolini, Fabio
Donini, Lorenzo Maria
Pinto, Alessandro
author_sort Mocini, Edoardo
collection PubMed
description 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.
format Online
Article
Text
id pubmed-9864001
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-98640012023-01-22 Digital Anthropometry: A Systematic Review on Precision, Reliability and Accuracy of Most Popular Existing Technologies Mocini, Edoardo Cammarota, Camillo Frigerio, Francesco Muzzioli, Luca Piciocchi, Claudia Lacalaprice, Doriana Buccolini, Fabio Donini, Lorenzo Maria Pinto, Alessandro Nutrients Review 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. MDPI 2023-01-07 /pmc/articles/PMC9864001/ /pubmed/36678173 http://dx.doi.org/10.3390/nu15020302 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Mocini, Edoardo
Cammarota, Camillo
Frigerio, Francesco
Muzzioli, Luca
Piciocchi, Claudia
Lacalaprice, Doriana
Buccolini, Fabio
Donini, Lorenzo Maria
Pinto, Alessandro
Digital Anthropometry: A Systematic Review on Precision, Reliability and Accuracy of Most Popular Existing Technologies
title Digital Anthropometry: A Systematic Review on Precision, Reliability and Accuracy of Most Popular Existing Technologies
title_full Digital Anthropometry: A Systematic Review on Precision, Reliability and Accuracy of Most Popular Existing Technologies
title_fullStr Digital Anthropometry: A Systematic Review on Precision, Reliability and Accuracy of Most Popular Existing Technologies
title_full_unstemmed Digital Anthropometry: A Systematic Review on Precision, Reliability and Accuracy of Most Popular Existing Technologies
title_short Digital Anthropometry: A Systematic Review on Precision, Reliability and Accuracy of Most Popular Existing Technologies
title_sort digital anthropometry: a systematic review on precision, reliability and accuracy of most popular existing technologies
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9864001/
https://www.ncbi.nlm.nih.gov/pubmed/36678173
http://dx.doi.org/10.3390/nu15020302
work_keys_str_mv AT mociniedoardo digitalanthropometryasystematicreviewonprecisionreliabilityandaccuracyofmostpopularexistingtechnologies
AT cammarotacamillo digitalanthropometryasystematicreviewonprecisionreliabilityandaccuracyofmostpopularexistingtechnologies
AT frigeriofrancesco digitalanthropometryasystematicreviewonprecisionreliabilityandaccuracyofmostpopularexistingtechnologies
AT muzzioliluca digitalanthropometryasystematicreviewonprecisionreliabilityandaccuracyofmostpopularexistingtechnologies
AT piciocchiclaudia digitalanthropometryasystematicreviewonprecisionreliabilityandaccuracyofmostpopularexistingtechnologies
AT lacalapricedoriana digitalanthropometryasystematicreviewonprecisionreliabilityandaccuracyofmostpopularexistingtechnologies
AT buccolinifabio digitalanthropometryasystematicreviewonprecisionreliabilityandaccuracyofmostpopularexistingtechnologies
AT doninilorenzomaria digitalanthropometryasystematicreviewonprecisionreliabilityandaccuracyofmostpopularexistingtechnologies
AT pintoalessandro digitalanthropometryasystematicreviewonprecisionreliabilityandaccuracyofmostpopularexistingtechnologies