Korean J Obes.  2006 Dec;15(4):219-226.

The Cut-off Values of the Visceral Fat Area to Identify Metabolic Syndrome among Korean Adults: Using Visceral Fat Area Presented by Body Composition Analyzer, InBody 4.0.

• Choi HJ
• Yoon K
• Han KH
• Kim SH

Abstract

BACKGROUND: Abdominal obesity is associated with various cardiovascular risk factors or metabolic syndrome. Recently, body composition analyzer has been popularly used in clinical settings, in which some instruments present several values that aid in diagnosing abdominal obesity without direct measurement. For this reason, the authors investigated the usefulness of automatically presented visceral fat area for predicting metabolic syndrome and cut-off values of visceral fat area to study its association with metabolic syndrome using InBody 4.0 among Korean adults.
METHODS
The participants were recruited from Health Promotion Center. There were a total of 2,461 subjects (1,186 males and 1,275 females). Visceral fat area was obtained from body composition analyzer, InBody 4.0 (Biospace, Co., Ltd, Korea). Blood chemistry including total cholesterol, triglyceride, high-density lipoprotein, and low-density lipoprotein were measured. Metabolic syndrome was defined by criteria for clinical diagnosis of metabolic syndrome by the AHA/NHLBI criteria for clinical diagnosis of metabolic syndrome. The authors calculated odds ratio for metabolic syndrome according to categories of visceral fat area by multiple logistic regression analysis.
RESULTS
The mean ages of males and females were 52.6 +/- 8.7 years and 52.9 +/- 8.3 years respectively. The mean of visceral fat area was 106.0 +/- 19.0 cm2 in male and 85.3 +/- 20.9 cm2 in female. In male and female, adjusted odds ratios for metabolic syndrome increased with an increase in visceral fat area (P for trend < 0.01, respectively). The cut-off values of visceral fat area related to increasing risk of metabolic syndrome were 110 cm2 (sensitivity 72.8%, specificity 71.4%, positive predictive value 50.8%, negative predictive value 86.6%) in male and 90 cm2 (sensitivity 65.8%, specificity 73.8%, positive predictive value 51.8%, negative predictive value 81.7%) in female.
CONCLUSION
The visceral fat area presented by body composition analyzer was useful for predicting metabolic syndrome in Korean adults.

Keyword

Abdominal obesity; Metabolic syndrome; Visceral fat area; Body composition analyzer

MeSH Terms

Adult*
Body Composition*
Chemistry
Cholesterol
Diagnosis
Female
Health Promotion
Humans
Intra-Abdominal Fat*
Lipoproteins
Logistic Models
Male
Obesity, Abdominal
Odds Ratio
Risk Factors
Sensitivity and Specificity
Triglycerides
Cholesterol
Lipoproteins