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

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

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dc.contributor.author Piqueras Fiszman, Paola es_ES
dc.contributor.author Ballester Fernandez, Alfredo es_ES
dc.contributor.author DURÁ-GIL, JUAN V. es_ES
dc.contributor.author Martinez-Hervas, Sergio es_ES
dc.contributor.author Redón, Josep es_ES
dc.contributor.author Real, José T. es_ES
dc.date.accessioned 2022-06-16T18:05:50Z
dc.date.available 2022-06-16T18:05:50Z
dc.date.issued 2021-07-09 es_ES
dc.identifier.uri http://hdl.handle.net/10251/183410
dc.description.abstract [EN] 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. es_ES
dc.description.sponsorship BODYPASS Project has received funding from the European Union's Horizon 2020 research and innovation program under Grant Agreement No. 779780. CIBER de Diabetes and Enfermedades Metabolicas Asociadas (CIBERDEM) is an Instituto de Salud Carlos III initiative. SM-H was an investigator in the Juan Rodes program (JR18/00051) financed by the Instituto de Salud Carlos III and the European Regional Development Fund (FEDER). Project (IMDEEA/2020/87) supported by Instituto Valenciano de Competitividad Empresarial (IVACE), call for proposals 2020 for Technology Centers of the Comunitat Valenciana, cofunded by ERDF Funds, EU Operational Program of the Comunitat Valenciana 2014-2020. es_ES
dc.language Inglés es_ES
dc.publisher Frontiers Media SA es_ES
dc.relation.ispartof Frontiers in Psychology es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Obesity es_ES
dc.subject Anthropometric health indicators es_ES
dc.subject Health es_ES
dc.subject Risk identification es_ES
dc.subject Fat distribution es_ES
dc.subject 3D human shapes es_ES
dc.title Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3389/fpsyg.2021.631179 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/779780/EU es_ES
dc.relation.projectID info:eu-repo/grantAgreement/IVACE//IMDEEA%2F2020%2F87//CUSTOM_DHM. Adaptación del modelo digital humano para su aplicación en el diseño de productos y aplicaciones digitales/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/ISCIII//JR18%2F00051//Juan Rodes program/ es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Piqueras Fiszman, P.; Ballester Fernandez, A.; Durá-Gil, JV.; Martinez-Hervas, S.; Redón, J.; Real, JT. (2021). Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review. Frontiers in Psychology. 12:1-19. https://doi.org/10.3389/fpsyg.2021.631179 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3389/fpsyg.2021.631179 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 19 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 12 es_ES
dc.identifier.eissn 1664-1078 es_ES
dc.identifier.pmid 34305707 es_ES
dc.identifier.pmcid PMC8299753 es_ES
dc.relation.pasarela S\464989 es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder Instituto de Salud Carlos III es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Institut Valencià de Competitivitat Empresarial es_ES


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