Key result
CUN-BAE links to ~450% higher odds of MetS, outperforming other adiposity indices.
Why the study?
Obesity increases mortality and is linked to cardiovascular diseases and metabolic syndrome, but the ability of different adiposity indices to identify metabolic syndrome in people with intermediate cardiovascular risk needed evaluation.
Which adiposity indices best identify metabolic syndrome in subjects with intermediate cardiovascular risk?
Cross-Sectional (n=2,478)
Yes
Which adiposity indices best identify metabolic syndrome in subjects with intermediate cardiovascular risk?
Odds Ratio: 5.5 (95% CI 4.27–7.09)
p-value: p=<0.001
Most adiposity indices, including BMI, WHtR, CUN-BAE, and BRI, are similarly effective at identifying metabolic syndrome in patients with intermediate cardiovascular risk, whereas ABSI is less useful.
Most adiposity indices except ABSI associate similarly with MetS in intermediate-risk adults; leaves open optimal index and prospective utility.
BACKGROUND: Obesity increases mortality, and is linked to cardiovascular diseases and metabolic syndrome (MetS). Therefore, the purpose of this study was to analyze the ability of different adiposity indices to identify subjects with MetS among people with intermediate cariovascular risk. MATERIALS AND METHODS: The cross-sectional study involved 2478 subjects, recruited by the MARK study. Adiposity measures: general adiposity by body mass index (BMI), central adiposity by waist-to-height ratio (WHtR), fat mass percent by the Clínica Universidad de Navarra-body adiposity estimator (CUN-BAE), percentage of body fat and of visceral adipose tissue by body roundness index (BRI) and visceral obesity and general adiposity with body shape index (ABSI). The diagnosis of MetS was made in accordance with the criteria established in the international consensus of the Joint Scientific Statement National Cholesterol Education Program III. RESULTS: The highest correlation coefficients were obtained by the glycemic components (HbA1c and FPG) of the MetS and ranged from 0.155 to 0.320. The exception was ABSI, which showed lower values in the global analysis and in the males. Values of the area under the ROC curve with the adiposity indices ranged from 0.773 with the BMI in males to 0.567 with ABSI in males. In the logistic regression analysis, all adiposity factors, except ABSI, showed similar OR values of MetS after adjusting for possible confounding factors. In the global analysis, the adiposity index that showed a highest OR of MetS was CUN-BAE (OR 5.50; 95% CI 4.27-7.09). In the analysis by gender, the highest ORs were BMI in males (OR 5.98; 95% CI 4.70-7.60) and both WHtR and BRI in females (OR 4.15; 95% CI 3.09-5.58). CONCLUSION: All adiposity indices, except for ABSI, show an association with MetS and similar ability to detect subjects with MetS among people with intermediate cariovascular risk.
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Gómez‐Marcos et al. (2019) conducted a cross-sectional in Intermediate cardiovascular risk (n=2,478). Adiposity indices (CUN-BAE, BMI, WHtR, BRI, ABSI) vs. Normal adiposity was evaluated on Identification of metabolic syndrome (MetS) (OR 5.50, 95% CI 4.27-7.09, p=<0.001). All adiposity indices except ABSI showed a strong association with metabolic syndrome, with CUN-BAE demonstrating the highest odds ratio (OR 5.50) for identifying subjects with metabolic syndrome.
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