Research Article
Optimal Waist Circumference Cut-Off Point for Multiple
Risk Factor Aggregation: Results from the Maracaibo City
Metabolic Syndrome Prevalence Study
Valmore Bermúdez,
1
Joselyn Rojas,
1
Juan Salazar,
1
Roberto Añez,
1
Mervin Chávez-Castillo,
1
Robys González,
1
María Sofía Martínez,
1
Mayela Cabrera,
1
Clímaco Cano,
1
Manuel Velasco,
2
and José López-Miranda
3
1
Endocrine and Metabolic Diseases Research Center, he University of Zulia, 20th Avenue, Maracaibo 4004, Venezuela
2
Clinical Pharmacology Unit, Jos´ e Mar´ ıa Vargas School of Medicine, Central University of Venezuela, Caracas 1051, Venezuela
3
Lipid and Atherosclerosis Unit, Department of Medicine, Carlos III Institute of Health, IMIBIC/Reina Soia University
Hospital/University of C´ ordoba and CIBER Obesity and Nutrition Physiopathology (CIBEROBN), C´ ordoba 230002, Spain
Correspondence should be addressed to Valmore Berm´ udez; valmore@gmail.com
Received 16 September 2014; Revised 21 November 2014; Accepted 24 November 2014; Published 9 December 2014
Academic Editor: Suminori Kono
Copyright © 2014 Valmore Berm´ udez et al. his is an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly
cited.
Context and Objective. he purpose of this study was to determine optimal waist circumference (WC) cut-of 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-of point. Logistic regression models were constructed to assess risk factors associated with
the WC. Results. here were 52.2% females and 47.8% males, with WC of 90.7 ± 13.7 cm and 98.2 ± 15.9 cm, respectively. ROC
curves exhibited a WC cut-of point for women of 90.25 cm (68.4% sensitivity, 65.8% speciicity) and 95.15 cm (71.1% sensitivity,
67.4% speciicity) for men. HOMA2-IR and high blood pressure were associated with a WC over these cut-of points, as well as
2.5-fold risk increase for multiple risk factor aggregation (OR 2.56; CI 95%: 2.05–3.20; < 0.01). Conclusions. hese population-
speciic WC cut-ofs are readily applicable tools for detection of risk factor aggregation. Insulin resistance is closely associated with
this deinition of abdominal obesity, which may serve as a surrogate for its assessment.
1. Introduction
Metabolic Syndrome (MS) is a cluster of endocrine-metabolic
disturbances which increases the risk of developing Car-
diovascular Disease (CVD) and type 2 diabetes mellitus
(T2DM) [1]. In recent years its prevalence has increased
worldwide, especially in Latin America where it has become
a public health issue, fueled by the sociocultural backdrop
and psychobiologic habits pertaining to this region [2, 3]. In
an attempt to “harmonize” MS diagnostic criteria, organiza-
tions such as the International Diabetes Federation, National
Heart, Lung, Blood Institute, American Heart Association,
and others (IDF/NHLBI/AHA-2009) agreed on an integrated
set of diagnostic criteria that may be widely utilized world-
wide, and whose clinical application would allow for the
identiication of subjects in risk of further cardiometabolic
disease [4].
Despite eforts to standardize criteria for this entity, waist
circumference (WC) is still the most controversial variable
in the MS deinition due to the absence of speciic cut-of
points for Latin-Americans, Sub-Saharan Africans, Eastern
Mediterranean, and Middle East (Arab) populations. here-
fore, when the International Diabetes Federation exposed
their criteria for MS diagnosis in 2005 (IDF-2005) [5], they
suggested that when using this criterion in South American
countries, researchers should rely on cut-of points from
Hindawi Publishing Corporation
Epidemiology Research International
Volume 2014, Article ID 718571, 9 pages
http://dx.doi.org/10.1155/2014/718571