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dc.contributor.authorRamírez Vélez, Robinson
dc.contributor.authorPérez Sousa, Miguel A.
dc.contributor.authorIzquierdo, Mikel
dc.contributor.authorCano Gutierrez, Carlos Alberto
dc.contributor.authorGónzalez Jiménez, Emilio
dc.contributor.authorSchmidt RioValle, Jacqueline
dc.contributor.authorGonzález Ruíz, Katherine
dc.contributor.authorCorrea Rodríguez, María
dc.date.accessioned2019-10-04T07:24:54Z
dc.date.available2019-10-04T07:24:54Z
dc.date.issued2019-07
dc.identifier.citationRamírez Vélez, R., Pérez Sousa, M. Á., Izquierdo, M., ... Cano Gutierrez, C. A. (2019). Validation of Surrogate Anthropometric Indices in Older Adults: What Is the Best Indicator of High Cardiometabolic Risk Factor Clustering? Nutrients, 11(8), 1701. DOI: https://doi.org/10.3390/nu11081701es_ES
dc.identifier.issn2072-6643
dc.identifier.urihttp://hdl.handle.net/10272/16765
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-o 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-o 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.es_ES
dc.description.sponsorshipThis study is part of a larger project that has been funded by the Colciencias y Ministerio de Salud y la Proteccion Social de Colombia (The SABE Study ID 2013, no. 764). Mikel Izquierdo is funded in part by a research grant PI17/01814 of the Ministerio de Economia, Industria y Competitividad (ISCIII, FEDER).
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relation.isversionofPublisher’s versión
dc.relation.isversionofinfo:eu-repo/grantAgreement/Ministerio de Economia, Industria y Competitividad (ISCIII, FEDER) [PI17/01814]
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.otherAnthropometric indiceses_ES
dc.subject.otherDiagnosis criteriaes_ES
dc.subject.otherMetabolic syndromees_ES
dc.subject.otherCardiometabolic riskes_ES
dc.subject.otherElderlyes_ES
dc.titleValidation of Surrogate Anthropometric Indices in Older Adults: What Is the Best Indicator of High Cardiometabolic Risk Factor Clustering?es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doi10.3390/nu11081701
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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