Publication:
The CUN-BAE, Deurenberg Fat Mass, and visceral adiposity index as confident anthropometric indices for early detection of metabolic syndrome components in adults

dc.contributor.authorLópez-González, Angel Arturo
dc.contributor.authorJover, A Martínez
dc.contributor.authorMartínez, C Silveira
dc.contributor.authorArtal, P Martínez
dc.contributor.authorBote, S Arroyo
dc.contributor.authorAltisench Jané, Bárbara
dc.contributor.authorRamírez-Manent, José Ignacio
dc.date.accessioned2024-10-04T13:58:00Z
dc.date.available2024-10-04T13:58:00Z
dc.date.issued2022-09-15
dc.description.abstractThere is no definition for the metabolic syndrome; visceral obesity, elevated lipids and glucose, and hypertension coexist. The aim of the study is to determine which anthropometric indicators best determine it. Cross-sectional study in 418,343 Spanish workers. Metabolic syndrome was determined using the NCEP-ATPIII, IDF and JIS criteria. The anthropometric variables studied were: body mass index, waist circumference, waist-to-height ratio, CUNBAE, Deuremberg formula, body fat index, body surface index, normalized weight adjusted index, body roundness index, body shape index, visceral adiposity index (VAI), dysfunctional adiposity index, conicity index, metabolic score for visceral fat (METS-VF), waist triglyceride index. In men, the anthropometric indices with the largest areas under the ROC curve are VAI with ATPIII criteria and JIS. If we use the IDF criteria: waist circumference and METS-VF, with the same result. In women, the largest areas under the curve were observed with the Deuremberg formula in both ATPIII and JIS while with the IDF criteria it is METS-VF. The most useful anthropometric indices for identifying metabolic syndrome are CUN-BAE and Deuremberg, followed by the VAI. A single definition of metabolic syndrome should be agreed to determine the best anthropometric index with predictive capacity for its diagnosis.en
dc.format.number1es_ES
dc.format.page15486es_ES
dc.format.volume12es_ES
dc.identifier.citationLópez-González AA, Jover AM, Martínez CS, Artal PM, Bote SA, Jané BA, et al. The CUN-BAE, Deurenberg Fat Mass, and visceral adiposity index as confident anthropometric indices for early detection of metabolic syndrome components in adults. Sci Rep. 2022 Sep 15;12(1):15486.en
dc.identifier.doi10.1038/s41598-022-19343-w
dc.identifier.e-issn2045-2322es_ES
dc.identifier.journalScientific reportses_ES
dc.identifier.otherhttp://hdl.handle.net/20.500.13003/18515
dc.identifier.pubmedID36109524es_ES
dc.identifier.puiL639038399
dc.identifier.scopus2-s2.0-85137847204
dc.identifier.urihttps://hdl.handle.net/20.500.12105/23538
dc.identifier.wos854795200060
dc.language.isoengen
dc.publisherNature Publishing Group
dc.relation.publisherversionhttps://doi.org/10.1038/s41598-022-19343-wen
dc.rights.accessRightsopen accessen
dc.rights.licenseAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.decsSíndrome Metabólico*
dc.subject.decsFemenino*
dc.subject.decsLípidos*
dc.subject.decsMasculino*
dc.subject.decsObesidad Abdominal*
dc.subject.decsEstudios Transversales*
dc.subject.decsFactores de Riesgo*
dc.subject.decsHumanos*
dc.subject.decsRelación Cintura-Estatura*
dc.subject.decsGlucosa*
dc.subject.decsTriglicéridos*
dc.subject.decsAdulto*
dc.subject.decsAdiposidad*
dc.subject.meshMetabolic Syndrome*
dc.subject.meshTriglycerides*
dc.subject.meshAdult*
dc.subject.meshGlucose*
dc.subject.meshHumans*
dc.subject.meshCross-Sectional Studies*
dc.subject.meshWaist-Height Ratio*
dc.subject.meshLipids*
dc.subject.meshMale*
dc.subject.meshFemale*
dc.subject.meshRisk Factors*
dc.subject.meshAdiposity*
dc.subject.meshObesity, Abdominal*
dc.titleThe CUN-BAE, Deurenberg Fat Mass, and visceral adiposity index as confident anthropometric indices for early detection of metabolic syndrome components in adultsen
dc.typeresearch articleen
dspace.entity.typePublication
relation.isPublisherOfPublication301fb00e-338e-4f8c-beaa-f9d8f4fefcc0
relation.isPublisherOfPublication.latestForDiscovery301fb00e-338e-4f8c-beaa-f9d8f4fefcc0

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