Open AccessEvaluation of anthropometric indices as metabolic syndrome predictors in Ecuadorian Military Personnel
Author(s) -
Germán Muñoz,
Alberth Patricio Muñoz Gualán
Publication year - 2020
Publication title -
revista ecuatoriana de medicina y ciencias biológicas (remcb)/revista ecuatoriana de medicina y ciencias biológicas (remcb) (en línea)
Language(s) - English
Resource type - Journals
eISSN - 2477-9148
pISSN - 2477-9113
DOI - 10.26807/remcb.v41i2.872
Subject(s) - waist to height ratio , anthropometry , waist , medicine , metabolic syndrome , abdominal obesity , body mass index , receiver operating characteristic , obesity , demography , waist–hip ratio , sociology
Anthropometric measurements are simple and effective techniques for central or abdominal obesity evaluation. Although it is known their good predicting value, there is not a consensus about which is best in Metabolic Syndrome (MetSyn) diagnostic, using ATP III criteria. Anthropometric measurements included waist circumference (WC), waist hip ratio (WHR), waist height ratio (WHtR) and body mass index (BMI). This study aimed to determine the prevalence of MetSyn and compare anthropometric indices for optimal predicting value with their respective cut-offs for MetSyn diagnosis among army members in ESFORSE, Ecuador. The study includes 181 participants (175 male and 6 female), with mean age 37 ± 6 years, MetSyn prevalence is 8%, with WC (p <.001), WHtR (p. .009) and WHR (p .020) as variables statistically significant. We analyzed the area under the curve (AUC) in a receiver operating characteristic (ROC) curve, in anthropometric measurements. Thus, WC and WHtR represent the highest AUC (WC: 0.77, 95% CI 0.69-0.86; WHtR: 0.70, 95% CI 0.59-0.82). The optimal cut-off values for predicting MetSyn are 92 cm in WC, 0.52 in WHtR and 0.93 in WHR. Therefore, the army members have a low prevalence of MetSyn, with WC as the best predicting value.