Validation of surrogate anthropometric indices in older adults: what is the best indicator of high cardiometabolic risk factor clustering?

Ramírez Vélez, Robinson; Pérez Sousa, Miguel A.; Izquierdo Redín, Mikel; Cano Gutiérrez, Carlos Alberto; González Jiménez, Emilio; Schmidt Río-Valle, Jacqueline; González Ruiz, Katherine; Correa Rodríguez, María

Validation of surrogate anthropometric indices in older adults: what is the best indicator of high cardiometabolic risk factor clustering?

dc.contributor.author	Ramírez Vélez, Robinson
dc.contributor.author	Pérez Sousa, Miguel A.
dc.contributor.author	Izquierdo Redín, Mikel
dc.contributor.author	Cano Gutiérrez, Carlos Alberto
dc.contributor.author	González Jiménez, Emilio
dc.contributor.author	Schmidt Río-Valle, Jacqueline
dc.contributor.author	González Ruiz, Katherine
dc.contributor.author	Correa Rodríguez, María
dc.contributor.department	Ciencias de la Salud	es_ES
dc.contributor.department	Osasun Zientziak	eu
dc.date.accessioned	2020-02-18T13:10:06Z
dc.date.available	2020-02-18T13:10:06Z
dc.date.issued	2019
dc.description	Incluye correcciones	es_ES
dc.description.abstract	The 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.extent	16 p.
dc.format.mimetype	application/pdf	en
dc.identifier.doi	10.3390/nu11081701
dc.identifier.issn	2072-6643
dc.identifier.uri	https://academica-e.unavarra.es/handle/2454/36279
dc.language.iso	eng	en
dc.publisher	MDPI	en
dc.relation.ispartof	Nutrients, 2019, 11 (8), 1701	en
dc.relation.publisherversion	https://doi.org/10.3390/nu11081701
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.accessRights	info:eu-repo/semantics/openAccess
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.subject	Anthropometric indices	en
dc.subject	Diagnosis criteria	en
dc.subject	Metabolic syndrome	en
dc.subject	Cardiometabolic risk	en
dc.subject	Elderly	en
dc.title	Validation of surrogate anthropometric indices in older adults: what is the best indicator of high cardiometabolic risk factor clustering?	en
dc.type	info:eu-repo/semantics/article
dc.type.version	info:eu-repo/semantics/publishedVersion
dspace.entity.type	Publication
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