Association between insulin resistance and metabolic syndrome risk factors in Japanese.

ABSTRACT:

Unlabelled

Aims/Introduction:  It is important to identify individuals at risk of metabolic syndrome (MetS), namely those with insulin resistance. Therefore, the aim of the present study was to find anthropometric and metabolic parameters that can better predict insulin resistance.

Subjects and methods

  We selected 3899 individuals (2058 men and 1841 women), excluding those with fasting plasma glucose (FPG) ≥126 mg/dL, on medication for hypertension, dyslipidemia or diabetes, and those with a history of advanced macrovascular disease. Using multivariate analyses, we selected components for obesity, lipids, and blood pressure based on the strength of their association with the homeostasis model assessment of insulin resistance (HOMA-IR).

Results

  In multiple linear r

SUBMITTER: Yamada C 

PROVIDER: S-EPMC4020738 | biostudies-literature | 2012 Mar

REPOSITORIES: biostudies-literature