Abstract:

Abstract Objective: Obesity is a growing pandemic and body mass index (BMI) is insufficient to assess the risk of complications. Other estimates of adiposity are used. Materials and methods: Cross-sectional study in 193,462 workers. BMI, CUN-BAE (Clínica Universitaria de Navarra Body adiposity Estimator), Cordoba Equation (ECORE-BF), Relative Fat Mass (RFM), Metabolic Score for Visceral Fat (METS-VF) and Palafolls formula. Their correlation with body adiposity index (BAI) and abdominal volume (AVI) was estimated. SPSS 27.0 was used, considering statistical significance p<0.05. Results: With all scales AVI and BAI are higher in obesity. AVI is higher in men, except with METS-VF. BAI in women has higher values in all scales. The highest values of AVI and BAI are with METS-VF, the lowest with PALAFOLLS. There is a good correlation of BMI with AVI and BAI and with the RFM and METS-VF scales and a very good correlation with Palafolls, ECORE-BF and CUN BAE. AVI and BAI show good correlation with Palafolls, ECORE-BF and CUN BAE and very good correlation with RFM and METS-VF. Conclusions: AVI and BAI show differences in their values according to sex. With METS-VF, both indexes are higher in men and women. AVI and BAI show good correlation with BMI and RFM. With METS-VF very good correlation with AVI. With the rest of the scales BAI and AVI show moderate or good correlation. The simplicity of these formulas and of both indexes makes them recommendable in clinical practice.

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