The Predictive Capability of Some Anthropometric Indices to Identify the Risk of Metabolic Syndrome and Its Components among Industrial Workers

Abstract

Metabolic syndrome (MetS) is closely associated with adverse cardiometabolic outcomes. The objective of this study is to search for practical methods that would enable effective identification of MetS based on anthropometric indicators. 347 male workers employed in hazardous working conditions were investigated. The presence of MetS was established in according to the guidelines of the International Diabetes Federation (IDF). Simple linear regression was used to determine the relationship between anthropometric indices and MetS components. Logistic regression provided MetS odds ratios (OR) in relation to increases in anthropometric measures. ROC-curves were calculated to compare the ability of each anthropometric index to predict MetS as well as to determine the diagnostic thresholds of the indicators considered. According to the IDF criteria, 36.3% of the workers had MetS. A direct relationship was found between the individual components of MetS and the anthropometric indices studied. The highest OR was shown by the Body Roundness Index (BRI) 2.235, 95% CI: 1.796-2.781. For different age quartiles, the optimal cut-off values predicting MetS were: for BRI, 4.1-4.4 r.u.; for a body shape index (ABSI), 0.080-0.083 m11/6∙kg-2/3; and for the lipid accumulation product (LAP), 49.7-70.5 cm∙mmol/l. The most significant associations with MetS were observed where the values were higher than these cut-off points (Se = 97.4%).