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A New Strategy for Somatotype Assessment Using Bioimpedance Analysis: Stratification According to Sex
Body composition assessment is a relevant element in the biomedical field, in research and daily practice in the medical and nutritional fields, and in the management of athletes. This paper aimed to operate in an Italian sample investigating the possibility of predicting the somatotype from bioimpe...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9590076/ https://www.ncbi.nlm.nih.gov/pubmed/36278747 http://dx.doi.org/10.3390/jfmk7040086 |
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author | Bertuccioli, Alexander Sisti, Davide Amatori, Stefano Perroni, Fabrizio Rocchi, Marco B. L. Benelli, Piero Trecroci, Athos Di Pierro, Francesco Bongiovanni, Tindaro Cannataro, Roberto |
author_facet | Bertuccioli, Alexander Sisti, Davide Amatori, Stefano Perroni, Fabrizio Rocchi, Marco B. L. Benelli, Piero Trecroci, Athos Di Pierro, Francesco Bongiovanni, Tindaro Cannataro, Roberto |
author_sort | Bertuccioli, Alexander |
collection | PubMed |
description | Body composition assessment is a relevant element in the biomedical field, in research and daily practice in the medical and nutritional fields, and in the management of athletes. This paper aimed to operate in an Italian sample investigating the possibility of predicting the somatotype from bioimpedance analysis and comparing the predicted results with those obtained from anthropometric measurements. This observational study was conducted with retrospective data collected from 2827 subjects. The somatotype of each subject was calculated both with the Heath–Carter method and by a multiple regression model based on bioimpedance and anthropometric parameters. Somatotypes (endomorph, mesomorph, and ectomorph) were predicted with a high goodness of fit (R(2) adjusted > 0.80). Two different somatocharts were obtained from anthropometric measures and bioimpedance parameters and subsequentially compared. Bland–Altman plots showed acceptable accuracy. This study could be a first step in developing a new approach that allows the detection of a subject’s somatotype via bioimpedance analysis, stratified according to sex, with a time-saving and more standardized procedure. It would allow, for example, during the COVID-19 pandemic, to minimize operator–patient contact in having measurements. |
format | Online Article Text |
id | pubmed-9590076 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95900762022-10-25 A New Strategy for Somatotype Assessment Using Bioimpedance Analysis: Stratification According to Sex Bertuccioli, Alexander Sisti, Davide Amatori, Stefano Perroni, Fabrizio Rocchi, Marco B. L. Benelli, Piero Trecroci, Athos Di Pierro, Francesco Bongiovanni, Tindaro Cannataro, Roberto J Funct Morphol Kinesiol Article Body composition assessment is a relevant element in the biomedical field, in research and daily practice in the medical and nutritional fields, and in the management of athletes. This paper aimed to operate in an Italian sample investigating the possibility of predicting the somatotype from bioimpedance analysis and comparing the predicted results with those obtained from anthropometric measurements. This observational study was conducted with retrospective data collected from 2827 subjects. The somatotype of each subject was calculated both with the Heath–Carter method and by a multiple regression model based on bioimpedance and anthropometric parameters. Somatotypes (endomorph, mesomorph, and ectomorph) were predicted with a high goodness of fit (R(2) adjusted > 0.80). Two different somatocharts were obtained from anthropometric measures and bioimpedance parameters and subsequentially compared. Bland–Altman plots showed acceptable accuracy. This study could be a first step in developing a new approach that allows the detection of a subject’s somatotype via bioimpedance analysis, stratified according to sex, with a time-saving and more standardized procedure. It would allow, for example, during the COVID-19 pandemic, to minimize operator–patient contact in having measurements. MDPI 2022-10-14 /pmc/articles/PMC9590076/ /pubmed/36278747 http://dx.doi.org/10.3390/jfmk7040086 Text en © 2022 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 | Article Bertuccioli, Alexander Sisti, Davide Amatori, Stefano Perroni, Fabrizio Rocchi, Marco B. L. Benelli, Piero Trecroci, Athos Di Pierro, Francesco Bongiovanni, Tindaro Cannataro, Roberto A New Strategy for Somatotype Assessment Using Bioimpedance Analysis: Stratification According to Sex |
title | A New Strategy for Somatotype Assessment Using Bioimpedance Analysis: Stratification According to Sex |
title_full | A New Strategy for Somatotype Assessment Using Bioimpedance Analysis: Stratification According to Sex |
title_fullStr | A New Strategy for Somatotype Assessment Using Bioimpedance Analysis: Stratification According to Sex |
title_full_unstemmed | A New Strategy for Somatotype Assessment Using Bioimpedance Analysis: Stratification According to Sex |
title_short | A New Strategy for Somatotype Assessment Using Bioimpedance Analysis: Stratification According to Sex |
title_sort | new strategy for somatotype assessment using bioimpedance analysis: stratification according to sex |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9590076/ https://www.ncbi.nlm.nih.gov/pubmed/36278747 http://dx.doi.org/10.3390/jfmk7040086 |
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