Visceral adipose tissue as a predictor for metabolic risk factors in the Korean population

J. H. Han, H. S. Park, S. M. Kim, S. Y. Lee, D. J. Kim, W. H. Choi

Research output: Contribution to journalArticlepeer-review

47 Citations (Scopus)

Abstract

Aims: Visceral adipose tissue (VAT) accumulation is closely associated with an increased risk of cardiovascular disease. We have investigated the appropriate VAT cut-off values for predicting metabolic risk factors in the Korean population. Methods: We assessed 276 men and 540 women aged 17-69 years who were undergoing regular health examinations. Anthropometry, metabolic risk factors and VAT area determined by computed tomography were measured. Receiver-operating characteristic (ROC) analysis was used to define VAT cut-off points for metabolic risk factors. Results: Based on the first quintile of VAT, the odds ratios for having metabolic risk factors increased significantly with each VAT quintile in both men and women. Using ROC analysis, the appropriate VAT cut-offs for metabolic risk factors were 100 cm2 in men and 70 cm2 in women. Regression lines indicated that, in men, a VAT of 100 cm2 corresponded to a waist circumference of 88.1 cm and a body mass index (BMI) of 24.9 kg/m2; in women, a VAT of 70 cm2 corresponded to a waist circumference of 84.0 cm and a BMI of 25.1 kg/m 2. Conclusion: VAT cut-offs of 100 cm2 in men and 70 cm2 in women are useful for defining visceral obesity in Korean subjects. These VAT cut-offs were validated by the ethnic-specific cut-offs for waist circumference and BMI for Korean individuals.

Original languageEnglish
Pages (from-to)106-110
Number of pages5
JournalDiabetic Medicine
Volume25
Issue number1
DOIs
Publication statusPublished - 2008 Jan
Externally publishedYes

Keywords

  • Hypertension
  • Impaired glucose tolerance
  • Lipids
  • Prediction
  • Visceral fat

ASJC Scopus subject areas

  • Internal Medicine
  • Endocrinology, Diabetes and Metabolism
  • Endocrinology

Fingerprint

Dive into the research topics of 'Visceral adipose tissue as a predictor for metabolic risk factors in the Korean population'. Together they form a unique fingerprint.

Cite this