The Usefulness of Indices for Central Obesity Estimated by Bioelectrical Impedance Analysis in the Diagnosis of Metabolic Syndrome.
- Author:
In Cheol HWANG
;
Kyoung Kon KIM
;
Kyoung Sik LEE
;
Seung Soo KIM
- Publication Type:Original Article
- Keywords:
Bioelectrical impedance;
Abdominal obesity;
Metabolic syndrome;
Waist circumference;
Waist-to-hip ratio
- MeSH:
Adipose Tissue;
Area Under Curve;
Electric Impedance;
Female;
Hip;
Humans;
Intra-Abdominal Fat;
Male;
Obesity, Abdominal;
ROC Curve;
Waist Circumference;
Waist-Hip Ratio
- From:Korean Journal of Health Promotion
2011;11(2):64-71
- CountryRepublic of Korea
- Language:English
-
Abstract:
BACKGROUND: Recently-developed equipment based on bioelectrical impedance analysis (BIA) not only measures total body fat but also displays several estimated indicators that reflect intra-abdominal fat, such as waist circumference (WC) and waist-to-hip ratio (WHR). This study examined the usefulness of these indicators in the diagnosis of metabolic syndrome (MS). METHODS: A total of 632 people over 20 years of age (355 men and 277 women, mean age 48.61+/-11.08 years, mean BMI 23.62+/-3.00 kg/m2, 117 MS patients) were enrolled in the study. Measurements of WC and hip circumference were measured by one individual, and WHR was calculated. BIA was performed to estimate waist circumference (BIAWC) and waist-to-hip ratio (BIAWHR). Receiver operating characteristic (ROC) curve analysis was used to examine the usefulness of BIAWC and BIAWHR in diagnosing MS. RESULTS: The areas under the curve (AUCs) were 0.836 (95% CI 0.805-0.864) for WC, 0.814 (95% CI 0.782-0.844) for BIAWC, 0.815 (95% CI 0.782-0.844) for WHR, and 0.805 (95% CI 0.772-0.835) for BIAWHR. The difference between the AUCs of WC and BIAWC (0.022, 95% CI -0.004 to 0.048) and the difference between the AUCs of WHR and BIAWHR (0.010, 95% CI -0.015 to 0.034) were not significant. CONCLUSIONS: The indices for central obesity estimated by BIA had high agreement with the direct method, and they were not inferior to direct measured indices for predicting metabolic syndrome.
