Comparison of the Body Adiposity Index to Body Mass Index in Korean Women.
10.3349/ymj.2014.55.4.1028
- Author:
Yeon Ah SUNG
1
;
Jee Young OH
;
Hyejin LEE
Author Information
1. Department of Internal Medicine, Ewha Womans University School of Medicine, Seoul, Korea. hyejinlee@ewha.ac.kr
- Publication Type:Original Article ; Research Support, Non-U.S. Gov't
- Keywords:
Body adiposity index;
body mass index;
obesity
- MeSH:
Adiposity/*physiology;
Adolescent;
Adult;
Body Composition/physiology;
Body Mass Index;
Body Weight/physiology;
Cholesterol, HDL/blood;
Cross-Sectional Studies;
Female;
Humans;
Obesity/blood/*physiopathology;
Triglycerides/blood;
Waist Circumference/physiology;
Young Adult
- From:Yonsei Medical Journal
2014;55(4):1028-1035
- CountryRepublic of Korea
- Language:English
-
Abstract:
PURPOSE: Obesity is a major public health issue and is associated with many metabolic abnormalities. Consequently, the assessment of obesity is very important. A new measurement, the body adiposity index (BAI), has recently been proposed to provide valid estimates of body fat percentages. The objective of this study was to compare the BAI and body mass index (BMI) as measurements of body adiposity and metabolic risk. MATERIALS AND METHODS: This was a cross-sectional analysis performed on Korean women. The weight, height, and hip circumferences of 2950 women (mean age 25+/-5 years old, 18-39 years) were measured, and their BMI and BAI [hip circumference (cm)/height (m)(1.5)-18] values were calculated. Bioelectric impedance analysis was used to evaluate body fat content. Glucose tolerance status was assessed with a 75-g oral glucose tolerance test, and insulin sensitivity was estimated with the insulin sensitivity index. RESULTS: BMI was more significantly correlated with fat mass and fat percentage. Additionally, BMI was also more significantly associated with metabolic parameters, including fasting glucose, post-load 2-h glucose, fasting insulin, post-load 2-h insulin, triglycerides, and high density lipoprotein cholesterol than BAI. Receiver operating characteristic curve analysis revealed that BMI was a better tool for predicting body fat percentage than BAI. Insulin sensitivity and metabolic syndrome were more significantly associated with BMI than with BAI. CONCLUSION: In Korean women, the current BMI-based classifications for obesity might be superior to BAI-based measurements for determining obesity and predicting metabolic risk.
