Predictors of insulin resistance in the obese with metabolic syndrome
| Autor: | Barbara Napolitano, James Tsang, Christoph U. Correll, Peter Manu, Martin L. Lesser |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Adult
Male medicine.medical_specialty Triglycerides blood Body Mass Index chemistry.chemical_compound Insulin resistance Predictive Value of Tests Risk Factors Diabetes mellitus Internal medicine Internal Medicine medicine Homeostasis Humans Obesity Triglycerides Dyslipidemias Inflammation Metabolic Syndrome Cholesterol business.industry Cholesterol HDL Smoking Middle Aged medicine.disease Cross-Sectional Studies Logistic Models Endocrinology Smoking epidemiology Diabetes Mellitus Type 2 chemistry Female Insulin Resistance Metabolic syndrome business Body mass index |
| Zdroj: | European Journal of Internal Medicine. 21:409-413 |
| ISSN: | 0953-6205 |
| DOI: | 10.1016/j.ejim.2010.05.015 |
| Popis: | In the obese, the metabolic syndrome (MetS) is assumed to reflect insulin resistance.To determine the predictors of insulin resistance in obese subjects with MetS.We used the 90th percentile of the homeostasis model assessment (HOMA) to define insulin resistance in 4958 nondiabetic adults evaluated in the National Health and Nutrition Examination Surveys, 1999-2004, and compared the 373 obese subjects who were insulin-resistant (HOMA 9.52+/-5.73) to a control group of 373 obese who had the highest sensitivity to insulin (HOMA 1.79+/-0.44).MetS was present in 312 (83.6%) obese with insulin resistance and in 156 (41.8%) obese from the insulin-sensitive control group. Demographic, metabolic, and lifestyle variables were analyzed with logistic regression.In a logistic model of insulin resistance given the presence of MetS, the significant predictors were triglycerides (P=0.0021), body mass index (P=0.0096), HDL-cholesterol (P=0.0098), age (P=0.0242) and smoking (P=0.0366).Cross-sectional design prevents elucidation of causality for the association between insulin resistance and MetS.Insulin resistance is not an obligatory correlate of MetS in the obese. Its likelihood can be predicted by cigarette smoking and by the severity of obesity and dyslipidemia. |
| Databáze: | OpenAIRE |
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