Usefulness of the metabolic syndrome criteria as predictors of insulin resistance among obese Korean women
Public Health Nutrition
Objective: To investigate the ability of each metabolic syndrome (MetS) criterion, defined by the International Diabetes Federation, to predict insulin resistance (IR). Design: A cross-sectional study. IR was defined as homeostasis model assessment of IR (HOMA-IR) $3?04. The MetS criteria considered were TAG $ 1?69 mmol/l, HDL cholesterol (HDL-C) ,1?29 mmol/l, blood pressure (BP) $130/85 mmHg and fasting glucose (FG) $5?6 mmol/l. Setting: Busan, South Korea. Subjects: Ninety-six apparently
... six apparently healthy Korean women (mean age 42 (SD 10?6) years) with abdominal obesity (waist circumference (WC) $80 cm) were studied. Results: Of the ninety-six obese women, 11 % were insulin-resistant and 33 % fulfilled the criteria for IDF-defined MetS. Glucose and TAG were more likely to predict IR than BP and HDL-C when assessed using receiver-operating characteristic curves, multiple regression and multiple logistic regression analyses. Of the variation in HOMA-IR, TAG, FG, WC and age explained 42 %. High FG was independently associated with the presence of IR (OR 5 8?6, 95 % CI 1?8, 41?8) even after adjusting for other components of MetS. The positive predictive value and positive likelihood ratio to detect IR were the highest for the FG criterion (33 % and 3?9, respectively), followed by TAG (28 %, 3?0), BP (19 %, 1?8) and HDL-C criteria (18 %, 1?7). The IDF definition of MetS exhibited a positive predictive value of 29 % and a positive likelihood ratio of 3?1. Conclusions: Of the MetS criteria, high FG and high TAG seem to be more suitable for identifying obese women with IR than high BP and low HDL-C.