Show simple item record

dc.creatorRamírez Vélez, Robinsones_ES
dc.creatorPérez Sousa, Miguel A.es_ES
dc.creatorIzquierdo Redín, Mikeles_ES
dc.creatorCano Gutiérrez, Carlos Albertoes_ES
dc.creatorGonzález Jiménez, Emilioes_ES
dc.creatorSchmidt Río-Valle, Jacquelinees_ES
dc.creatorGonzález Ruiz, Katherinees_ES
dc.creatorCorrea Rodríguez, Maríaes_ES
dc.date.accessioned2020-02-18T13:10:06Z
dc.date.available2020-02-18T13:10:06Z
dc.date.issued2019
dc.identifier.issn2072-6643
dc.identifier.urihttps://hdl.handle.net/2454/36279
dc.descriptionIncluye correccioneses_ES
dc.description.abstractThe present study evaluated the ability of five obesity-related parameters, including a body shape index (ABSI), conicity index (CI), body roundness index (BRI), body mass index (BMI), and waist-to-height ratio (WtHR) for predicting increased cardiometabolic risk in a population of elderly Colombians. A cross-sectional study was conducted on 1502 participants (60.3% women, mean age 70 ± 7.6 years) and subjects’ weight, height, waist circumference, serum lipid indices, blood pressure, and fasting plasma glucose were measured. A cardiometabolic risk index (CMRI) was calculated using the participants’ systolic and diastolic blood pressure, triglycerides, high-density lipoprotein and fasting glucose levels, and waist circumference. Following the International Diabetes Federation definition, metabolic syndrome was defined as having three or more metabolic abnormalities. All surrogate anthropometric indices correlated significantly with CMRI (p < 0.01). Receiver operating characteristic curve analysis of how well the anthropometric indices identified high cardiometabolic risk showed that WtHR and BRI were the most accurate indices. The best WtHR and BRI cut-off points in men were 0.56 (area under curve, AUC 0.77) and 4.71 (AUC 0.77), respectively. For women, the WtHR and BRI cut-off points were 0.63 (AUC 0.77) and 6.20 (AUC 0.77), respectively. In conclusion, BRI and WtHR have a moderate discriminating power for detecting high cardiometabolic risk in older Colombian adults, supporting the idea that both anthropometric indices are useful screening tools for use in the elderly.en
dc.format.extent16 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherMDPIen
dc.relation.ispartofNutrients, 2019, 11 (8), 1701en
dc.rights© 2019 by the authors. 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.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAnthropometric indicesen
dc.subjectDiagnosis criteriaen
dc.subjectMetabolic syndromeen
dc.subjectCardiometabolic risken
dc.subjectElderlyen
dc.titleValidation of surrogate anthropometric indices in older adults: what is the best indicator of high cardiometabolic risk factor clustering?en
dc.typeinfo:eu-repo/semantics/articleen
dc.typeArtículo / Artikuluaes
dc.contributor.departmentUniversidad Pública de Navarra. Departamento de Ciencias de la Saludes_ES
dc.contributor.departmentNafarroako Unibertsitate Publikoa. Osasun Zientziak Sailaeu
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.identifier.doi10.3390/nu11081701
dc.relation.publisherversionhttps://doi.org/10.3390/nu11081701
dc.type.versionVersión publicada / Argitaratu den bertsioaes
dc.type.versioninfo:eu-repo/semantics/publishedVersionen


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record

© 2019 by the authors. 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.
Except where otherwise noted, this item's license is described as © 2019 by the authors. 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.