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Comparison of BMI, WC, and Body Fat Percentage in Predicting Metabolic Syndrome

Title
Comparison of BMI, WC, and Body Fat Percentage in Predicting Metabolic Syndrome
Other Titles
체질량지수, 허리둘레 및 체지방률 측정이 지니는 대사증후군 예측 지표로서의 효용성 비교
Author
박훈기
Keywords
Body fat percentage; BIA; Metabolic syndrome
Issue Date
2015-10
Publisher
대한가정의학회
Citation
korean journal of family practice, v. 5, NO 3, suppl. 2, Page. 547-551
Abstract
Background: The objective of this study was to compare the relative usefulness of measuring body fat percentage by bioimpedance, BMI, and waist circumference, respectively, for the purpose of predicting metabolic syndrome. Methods: In this cross-sectional study, we studied 14,400 subjects between the ages of 20-80 years. Spearman correlation analysis was performed to confirm correlation coefficients between BMI, waist circumference, body fat percentage and metabolic syndrome. Logistic regression analysis was performed to examine the odds ratio between three obesity indicators and metabolic syndrome. Results: In the Spearman correlation analysis, the correlation between body fat percentage and waist circumference and the correlation between body fat percentage and BMI were less than the correlation between BMI and waist circumference. (Body fat percentage and waist circumference =0.61, body fat percentage and BMI=0.69, BMI and waist circumference=0.81 in males; and body fat percentage and waist circumference=0.61, body fat percentage and BMI=0.74, 0.77 in females). Body fat percentage, BMI and waist circumference all showed statistically significant correlation to metabolic syndrome in the logistic regression analysis (waist circumference: odds ratio(OR)=1.11, BMI:OR=1.09, body fat percentage: OR=1.05 in males, waist circumference: OR 1.15, BMI:OR=1.08, body fat percentage: OR=1.03 in females, P≤0.05). In the univariate analysis the odds ratio of body fat percentage was the highest among the three indicators in males (OR=1.17, 95%CI 1.15-1.18, P≤0.05) Conclusion: Assessment of total body fat percentage by bioimpedence, waist circumference or body mass index are similar in predicting metabolic syndrome.
URI
http://www.kjfp.or.kr/journal/view.html?uid=325&vmd=Fullhttp://hdl.handle.net/20.500.11754/28184
ISSN
2233-9019; 2233-9116
Appears in Collections:
COLLEGE OF MEDICINE[S](의과대학) > MEDICINE(의학과) > Articles
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