RT Journal Article
T1 Validation of Surrogate Anthropometric Indices in Older Adults: What Is the Best Indicator of High Cardiometabolic Risk Factor Clustering?
A1 Ramírez Vélez, Robinson
A1 Pérez Sousa, Miguel Ángel
A1 Izquierdo, Mikel
A1 Cano Gutierrez, Carlos Alberto
A1 Gónzalez Jiménez, Emilio
A1 Schmidt RioValle, Jacqueline
A1 González Ruíz, Katherine
A1 Correa Rodríguez, María
AB The present study evaluated the ability of five obesity-related parameters, including abody 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 ofelderly 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, bloodpressure, and fasting plasma glucose were measured. A cardiometabolic risk index (CMRI) wascalculated using the participants’ systolic and diastolic blood pressure, triglycerides, high-densitylipoprotein and fasting glucose levels, and waist circumference. Following the InternationalDiabetes Federation definition, metabolic syndrome was defined as having three or more metabolicabnormalities. All surrogate anthropometric indices correlated significantly with CMRI (p < 0.01).Receiver operating characteristic curve analysis of how well the anthropometric indices identifiedhigh cardiometabolic risk showed that WtHR and BRI were the most accurate indices. The bestWtHR 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 highcardiometabolic risk in older Colombian adults, supporting the idea that both anthropometric indicesare useful screening tools for use in the elderly.
PB MDPI
SN 2072-6643
YR 2019
FD 2019-07
LK http://hdl.handle.net/10272/16765
UL http://hdl.handle.net/10272/16765
LA eng
NO Ramírez 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/nu11081701
NO This 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).
DS Repositorio Institucional de la Universidad de Huelva
RD 13 jul 2026