Utility of obesity indicators for metabolically healthy obesity: an observational study using the Korean National Health and Nutrition Examination Survey (2009-2010)

BMC Public Health. 2014 Nov 14:14:1166. doi: 10.1186/1471-2458-14-1166.

Abstract

Background: Obese individuals who are not at an elevated risk for cardiovascular disease are described as having metabolically healthy obesity (MHO). We sought to identify clinically useful indicators of MHO.

Methods: Records of the Korean National Health and Nutrition Examination Survey (2009-2010) were used to analyze 3,770 obese subjects (body mass index ≥ 25 kg/m2), who were divided into metabolic syndrome and MHO groups. Persons who met less than 3 of the criteria of metabolic syndrome (MS) were defined as having MHO. We estimated age-specific prevalence rates according to the number of MS criteria that were satisfied (patients meeting 0, ≤1, and ≤2 criteria of MS). Receiver operating characteristic analysis was performed to identify the best indicators of MHO.

Results: The prevalence of MHO among obese patients decreased with age. When MHO was defined by the fulfillment of ≤2 criteria of MS, the areas under the curves (AUC) for waist circumference and waist-to-height ratio were 0.743 and 0.747 in men and 0.712 and 0.741 in women, respectively. Waist circumference and waist-to-height ratio were the most accurate predictors of MHO for all investigated definitions.

Conclusions: Waist circumference and waist-to-height ratio provide useful indicators for diagnosing MHO, and are more accurate than body mass index, fat percentage, or weight-adjusted appendicular skeletal muscle mass in the Korean population.

Publication types

  • Evaluation Study

MeSH terms

  • Adult
  • Aged
  • Anthropometry*
  • Area Under Curve
  • Asian People
  • Body Mass Index
  • Female
  • Humans
  • Male
  • Metabolic Syndrome / complications
  • Metabolic Syndrome / epidemiology*
  • Middle Aged
  • Nutrition Surveys*
  • Obesity / complications
  • Obesity / diagnosis
  • Obesity / epidemiology*
  • Prevalence
  • Republic of Korea / epidemiology
  • Sensitivity and Specificity