Indicators of Adiposity Predictors of Metabolic Syndrome in the Elderly

Background: Adiposity indicators can be used as predictors of cardiovascular risk in the elderly. However, there are only a very few studies that deal with the accuracy of adiposity indicators as predictors of metabolic syndrome (MS) in the elderly. We evaluated the performance of adiposity indicators of MS prediction in the elderly. Methods: A cross-sectional study with 203 elderly people of both genders. Variables: MS defined by harmonized criteria, waist circumference (WC), waist-to-height ratio (WHtR), conicity index (CI), lipid accumulation product (LAP), and visceral adiposity index (VAI). Area under the receiver operating characteristic curve (AUC), sensitivity (sens) and specificity (spec). Results: The WC, WHtR, and LAP indicators showed the highest AUC, with values greater than 0.84. For the general population, WHtR and LAP had the highest Youden index values, identifying a point of approximately 0.55 (sens: 85.6%; spec: 80.4%) for WHtR and 32.3 (sens: 81.1%; spec: 75.0%) for LAP. When analyzed by gender, it was observed that the WC and WHtR had the highest Youden index values for prediction of MS in both genders. The CI and VAI showed the lowest discriminatory power for MS. Conclusion: Both the adiposity indicators, WC and WHtR, as well as LAP, had high accuracy in MS discrimination. Therefore, they are effective in MS assessment in the elderly and during follow-up for individual and collective clinical practice. (C) 2017 S. Karger AG, Basel