4.4 Article

Identifying metabolically obese but normal-weight (MONW) individuals in a nondiabetic Korean population: the Chungju Metabolic disease Cohort (CMC) study

Journal

CLINICAL ENDOCRINOLOGY
Volume 75, Issue 4, Pages 475-481

Publisher

WILEY
DOI: 10.1111/j.1365-2265.2011.04085.x

Keywords

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Funding

  1. Korean Endocrine Society
  2. Ministry for health, welfare and family affairs [A080872]
  3. Ministry of Health and Welfare, Republic of Korea

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Objective To investigate the prevalence and identify the phenotype of individuals suspected to be metabolically obese but normal weight (MONW). Design and subjects Eight thousand nine hundred and eighty-seven nondiabetic subjects aged over 40 years were selected from the Chungju Metabolic disease Cohort study performed in 2003-2006 in Korea. Those within the highest quartile in the homeostasis model assessment of insulin resistance (HOMA-IR) with a normal body mass index (BMI) between 18.5 and 23 kg/m(2) were classified as MONW. Measurements Data on anthropometry, lipid profiles and HOMA-IR values were analysed. Results The prevalence of MONW was 14.2% for men and 12.9% for women amongst normal-weight subjects. Multiple logistic regression analysis showed that total cholesterol (TC) levels over 5.17 mm (odds ratio, OR = 1.481; 95% confidence intervals, CI 1.086-2.021), triglyceride (TG) levels over 1.69 mm (OR = 1.507; 95% CI 1.093-2.077) and high-density lipoprotein-cholesterol levels lower than 1.03 mm (OR = 1.580; 95% CI 1.053-2.371) independently had higher odds of diagnosing MONW amongst men. For women, a BMI over 21 5 kg/m(2) (OR = 1.405; 95% CI 1.034-1.909), TC levels over 5.17 mm (OR = 1.524; 95% CI 1.112-2.090) and TG levels over 1 69 mm (OR = 1.799; 95% CI 1.302-2.487) were independently associated with a diagnosis of MONW. Conclusions More than 10% of normal-weight subjects were classed as MONW in this cohort. Identification of these subjects based on lipid profiles could aid in the early detection of a high risk group of developing cardiometabolic diseases.

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