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- Title
Metabolic Syndrome components combinations: evidence of asymmetric clustering determined by central obesity and homeostasis model assessment.
- Authors
Bermúdez, Valmore; Rojas, Joselyn; Añez, Roberto; Salazar, Juan; Bello, Luis; Toledo, Alexandra; González, Robys; Apruzzese, Vanessa; Miquelena, Edgar; David, Adriana; Chávez, Carmen; Chacín, Maricarmen; Cano, Clímaco; Velasco, Manuel; López-Miranda, José; Cabrera, Mayela
- Abstract
Introduction: Metabolic syndrome (MS) is considered a cluster of metabolic risk factors which have been related with insulin resistance (IR), yet its role in the pathology of the syndrome remains unclear. The purpose of this study is to evaluate the prevalence of MS, the clustering of metabolic components, their relationship with IR and its degree of severity according to possible combinations. Materials and Methods: this is a cross-sectional study, with 2,230 individual from both sexes randomly selected, which were given a complete medical evaluation, including anthropometric measurements, biochemical analysis and MS diagnosis was done using IDF/NHLBI/AHA-2009. The qualitative variables were expressed as absolute and relative frequencies, using c2 test for significance and Z tests to assess proportion' differences. Logistic regression models were calculated for Odds ratio for IR and MS. Results: The overall prevalence of MS was 42.4%, with 40.4% in women and 44.6% in men, respectively. Several combinations do not present IR and lack abdominal obesity, including Hypertension-Low HDL-ypertriacilglyceridemia (n=4), Hypertension-Hyperglycemia-Low HDL (n=3) and Hypertension-Hyperglycemia-Low HDL-Hypertriacilglyceridemia (n=3). Elevated waist circumference is observed accompanying metabolic combinations that present IR. Conclusions: This study reports an alarming prevalence of MS in Maracaibo. When the possible combinations were studied IR is not observed as a common feature. There are several combinations which cluster less, suggesting that a variable such as WC could influence the variability and frequency of the phenotypes and associated IR, rendering central obesity as a mandatory feature in the diagnosis of MS.
- Subjects
METABOLIC syndrome; OBESITY; HOMEOSTASIS; INSULIN resistance risk factors; LOGISTIC regression analysis
- Publication
Síndrome Cardiometabólico, 2014, Vol 4, Issue 4, p100
- ISSN
2244-7261
- Publication type
Article