@misc{10481/59126,
year = {2019},
month = {7},
url = {http://hdl.handle.net/10481/59126},
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.},
organization = {This study is part of a larger project that has been funded by the Colciencias y Ministerio de Salud y la
Protección Social de Colombia (The SABE Study ID 2013, no. 764).},
publisher = {MDPI},
keywords = {Anthropometric indices},
keywords = {Diagnosis criteria},
keywords = {Metabolic syndrome},
keywords = {Cardiometabolic risk},
keywords = {Elderly},
title = {Validation of Surrogate Anthropometric Indices in Older Adults: What Is the Best Indicator of High Cardiometabolic Risk Factor Clustering?},
doi = {10.3390/nu11081701},
author = {Ramírez Vélez, Robinson and González Jiménez, Emilio and Schmidt Río Valle, Jacqueline and Correa Rodríguez, María},
}