Usefulness of the metabolic syndrome criteria as predictors of insulin resistance among obese Korean women.Public Health Nutr. 2010 Feb; 13(2):181-6.PH
To investigate the ability of each metabolic syndrome (MetS) criterion, defined by the International Diabetes Federation, to predict insulin resistance (IR).
A cross-sectional study. IR was defined as homeostasis model assessment of IR (HOMA-IR) > or =3.04. The MetS criteria considered were TAG > or = 1.69 mmol/l, HDL cholesterol (HDL-C) <1.29 mmol/l, blood pressure (BP) > or =130/85 mmHg and fasting glucose (FG) > or =5.6 mmol/l.
Busan, South Korea.
Ninety-six apparently healthy Korean women (mean age 42 (sd 10.6) years) with abdominal obesity (waist circumference (WC) > or =80 cm) were studied.
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 = 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.
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.