Key result
BAI outperforms WHR, WHtR, and BMI in predicting metabolic syndrome with ~70% AUC.
Why the study?
The associations between body adiposity indices and risk of metabolic syndrome and their predictive power in Egyptian women were not well established.
Do body adiposity indices accurately predict metabolic syndrome in Egyptian women?
Cross-Sectional (n=180)
No
Do body adiposity indices accurately predict metabolic syndrome in Egyptian women?
Body adiposity index (BAI) is a practical and accurate predictor for metabolic syndrome in Egyptian women, outperforming BMI, WHR, and WHtR.
BAI may support MS identification in young Egyptian women; leaves open prospective validation against established indices.
AIM: To assess the associations between the body adiposity indices and risk of metabolic syndrome (MS) and its components in Egyptian women and to evaluate their predictive power. MATERIALS AND METHODS: This was a cross-sectional analysis performed on 180 Egyptian women aged between 25-35 years. They were 90 women with MS diagnosed by International Diabetes Federation (IDF) and 90 healthy age matched controls. Body adiposity index (BAI), body mass index (BMI), waist to hip ratio (WHR) and waist to height ratio (WHtR) were calculated and serum samples were analyzed for metabolic parameters. Receiver operating characteristic curves (ROC) was used to determine the discriminatory capacity of BAI, WHR WHtR and BMI for MS. RESULTS: Area under the curve (AUC) was highest for BIA, followed by WHR, WHtR and then BMI. All adiposity indices were significantly correlated with metabolic components and BAI had the highest correlation coefficients compared to other indices. CONCLUSION: BAI is a practical predictor for MS and has satisfactory diagnostic accuracy for diagnosing MS among Egyptian women and can be used in addition to WHR, WHtR and BMI for identifying MS in the field studies.
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Zaki et al. (2016) conducted a cross-sectional in Metabolic Syndrome (n=180). Body Adiposity Index (BAI) vs. Body Mass Index (BMI), Waist to Hip Ratio (WHR), and Waist to Height Ratio (WHtR) was evaluated on Discriminatory capacity (Area Under the Curve) for predicting metabolic syndrome (AUC 69.8%, 95% CI 62.2%-81.3%). Body Adiposity Index (BAI) demonstrated the highest discriminatory capacity for predicting metabolic syndrome with an AUC of 69.8%, outperforming WHR, WHtR, and BMI.
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