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Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review

Obesity is characterized by the accumulation of an excessive amount of fat mass (FM) in the adipose tissue, subcutaneous, or inside certain organs. The risk does not lie so much in the amount of fat accumulated as in its distribution. Abdominal obesity (central or visceral) is an important risk fact...

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Autores principales: Piqueras, Paola, Ballester, Alfredo, Durá-Gil, Juan V., Martinez-Hervas, Sergio, Redón, Josep, Real, José T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8299753/
https://www.ncbi.nlm.nih.gov/pubmed/34305707
http://dx.doi.org/10.3389/fpsyg.2021.631179
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author Piqueras, Paola
Ballester, Alfredo
Durá-Gil, Juan V.
Martinez-Hervas, Sergio
Redón, Josep
Real, José T.
author_facet Piqueras, Paola
Ballester, Alfredo
Durá-Gil, Juan V.
Martinez-Hervas, Sergio
Redón, Josep
Real, José T.
author_sort Piqueras, Paola
collection PubMed
description Obesity is characterized by the accumulation of an excessive amount of fat mass (FM) in the adipose tissue, subcutaneous, or inside certain organs. The risk does not lie so much in the amount of fat accumulated as in its distribution. Abdominal obesity (central or visceral) is an important risk factor for cardiovascular diseases, diabetes, and cancer, having an important role in the so-called metabolic syndrome. Therefore, it is necessary to prevent, detect, and appropriately treat obesity. The diagnosis is based on anthropometric indices that have been associated with adiposity and its distribution. Indices themselves, or a combination of some of them, conform to a big picture with different values to establish risk. Anthropometric indices can be used for risk identification, intervention, or impact evaluation on nutritional status or health; therefore, they will be called anthropometric health indicators (AHIs). We have found 17 AHIs that can be obtained or estimated from 3D human shapes, being a noninvasive alternative compared to X-ray-based systems, and more accessible than high-cost equipment. A literature review has been conducted to analyze the following information for each indicator: definition; main calculation or obtaining methods used; health aspects associated with the indicator (among others, obesity, metabolic syndrome, or diabetes); criteria to classify the population by means of percentiles or cutoff points, and based on variables such as sex, age, ethnicity, or geographic area, and limitations.
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spelling pubmed-82997532021-07-24 Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review Piqueras, Paola Ballester, Alfredo Durá-Gil, Juan V. Martinez-Hervas, Sergio Redón, Josep Real, José T. Front Psychol Psychology Obesity is characterized by the accumulation of an excessive amount of fat mass (FM) in the adipose tissue, subcutaneous, or inside certain organs. The risk does not lie so much in the amount of fat accumulated as in its distribution. Abdominal obesity (central or visceral) is an important risk factor for cardiovascular diseases, diabetes, and cancer, having an important role in the so-called metabolic syndrome. Therefore, it is necessary to prevent, detect, and appropriately treat obesity. The diagnosis is based on anthropometric indices that have been associated with adiposity and its distribution. Indices themselves, or a combination of some of them, conform to a big picture with different values to establish risk. Anthropometric indices can be used for risk identification, intervention, or impact evaluation on nutritional status or health; therefore, they will be called anthropometric health indicators (AHIs). We have found 17 AHIs that can be obtained or estimated from 3D human shapes, being a noninvasive alternative compared to X-ray-based systems, and more accessible than high-cost equipment. A literature review has been conducted to analyze the following information for each indicator: definition; main calculation or obtaining methods used; health aspects associated with the indicator (among others, obesity, metabolic syndrome, or diabetes); criteria to classify the population by means of percentiles or cutoff points, and based on variables such as sex, age, ethnicity, or geographic area, and limitations. Frontiers Media S.A. 2021-07-09 /pmc/articles/PMC8299753/ /pubmed/34305707 http://dx.doi.org/10.3389/fpsyg.2021.631179 Text en Copyright © 2021 Piqueras, Ballester, Durá-Gil, Martinez-Hervas, Redón and Real. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Piqueras, Paola
Ballester, Alfredo
Durá-Gil, Juan V.
Martinez-Hervas, Sergio
Redón, Josep
Real, José T.
Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review
title Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review
title_full Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review
title_fullStr Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review
title_full_unstemmed Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review
title_short Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review
title_sort anthropometric indicators as a tool for diagnosis of obesity and other health risk factors: a literature review
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8299753/
https://www.ncbi.nlm.nih.gov/pubmed/34305707
http://dx.doi.org/10.3389/fpsyg.2021.631179
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