Body roundness index and body adiposity index: two new anthropometric indices to identify metabolic syndrome among Chinese postmenopausal women

Objectives: Body roundness index (BRI) and body adiposity index (BAI) have been recently proposed to assess obesity. The objectives of this cross-sectional study were to compare their potential for identifying metabolic syndrome (MetS) with traditional obesity indices in Chinese postmenopausal women...

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Bibliographic Details
Published in:Climacteric : the journal of the International Menopause Society 2016-10, Vol.19 (5), p.433-439
Main Authors: Liu, P. J., Ma, F., Lou, H. P., Zhu, Y. N.
Format: Article
Language:English
Subjects:
Adiposity
anthropometry
Area Under Curve
body adiposity index
Body Mass Index
Body measurements
body roundness index
China
Confidence intervals
Cross-Sectional Studies
Female
Health risk assessment
Humans
Logistic Models
Menopause
Metabolic syndrome
Metabolic Syndrome - diagnosis
metabolic syndrome X
Middle Aged
Obesity
Obesity - epidemiology
Odds Ratio
postmenopausal women
Postmenopause
Regression analysis
Risk Factors
ROC Curve
Waist Circumference
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Summary:Objectives: Body roundness index (BRI) and body adiposity index (BAI) have been recently proposed to assess obesity. The objectives of this cross-sectional study were to compare their potential for identifying metabolic syndrome (MetS) with traditional obesity indices in Chinese postmenopausal women. Methods: A total of 817 participants were involved in this study. Odds ratio and corresponding 95% confidence intervals (CI) between MetS and all indices were evaluated by binary logistic regression analysis. Receiver operating characteristic curve and area under curve (AUC) were employed to evaluate the abilities to identify MetS among all the indices. The differences in the AUC values between traditional indices and BAI as well as BRI were also evaluated. Results: The upper values of all indices were significantly associated with the presence of MetS after adjusting for potential confounders, except for BAI. There were no significant differences in the AUC values between BRI and the traditional indices; however, the AUC values of all the traditional indices were significantly larger than that of BAI. Conclusions: Neither BAI nor BRI was superior to traditional obesity indices for predicting MetS. BAI showed the weakest predictive ability, while BRI showed potential for use as an alternative obesity measure in assessment of MetS.
ISSN:1369-7137
1473-0804
DOI:10.1080/13697137.2016.1202229