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Optimal Waist Circumference Cut-Off Point for Multiple Risk Factor Aggregation: Results from the Maracaibo City Metabolic Syndrome Prevalence Study
Author(s) -
Valmore Bermúdez,
Joselyn Rojas,
Juan Salazar,
Roberto Áñez,
Mervin Chávez-Castillo,
Robys González,
María Sofía Martínez,
Mayela Cabrera,
Clímaco Cano,
Manuel Velasco,
José LópezMiranda
Publication year - 2014
Publication title -
epidemiology research international
Language(s) - English
Resource type - Journals
eISSN - 2090-2972
pISSN - 2090-2980
DOI - 10.1155/2014/718571
Subject(s) - waist , logistic regression , algorithm , metabolic syndrome , mathematics , risk factor , anthropometry , receiver operating characteristic , context (archaeology) , medicine , artificial intelligence , machine learning , statistics , body mass index , computer science , obesity , biology , paleontology
Context and Objective. The purpose of this study was to determine optimal waist circumference (WC) cut-off values for the detection of multiple risk factor aggregation in individuals from Maracaibo, Venezuela. Participants and Methods. A total of 1,902 adult individuals of both genders belonging to MMSPS were included. Complete physical, laboratory, and anthropometric examination were done to evaluate Metabolic Syndrome (MS) components and insulin resistance. ROC curves were plotted for risk factor aggregation in order to assess WC cut-off point. Logistic regression models were constructed to assess risk factors associated with the WC. Results. There were 52.2% females and 47.8% males, with WC of  cm and  cm, respectively. ROC curves exhibited a WC cut-off point for women of 90.25 cm (68.4% sensitivity, 65.8% specificity) and 95.15 cm (71.1% sensitivity, 67.4% specificity) for men. HOMA2-IR and high blood pressure were associated with a WC over these cut-off points, as well as 2.5-fold risk increase for multiple risk factor aggregation (OR 2.56; CI 95%: 2.05–3.20; ). Conclusions. These population-specific WC cut-offs are readily applicable tools for detection of risk factor aggregation. Insulin resistance is closely associated with this definition of abdominal obesity, which may serve as a surrogate for its assessment.

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