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Revista de Salud Pública
Print version ISSN 0124-0064
Abstract
MACHADO, João Felipe et al. Equations based on body mass index for body composition estimations of women presenting grade III obesity. Rev. salud pública [online]. 2023, vol.25, n.2, 7. Epub Mar 01, 2023. ISSN 0124-0064. https://doi.org/10.15446/rsap.v25n2.105516.
Objective
To develop and validate predictive equations to estimate the body composition of women with grade III obesity, using the body mass index (BMI) as a predictive variable.
Methods
This cross-sectional study involved 104 patients treated at the hospital of the Universidade Federal do Rio de Janeiro randomly divided into two groups, the Equation Group, used to generate regression equations, and the Validation Group, used to validate the equations. Body fat mass (BFM), body fat percentage (BFP), skeletal muscle mass (SMM), fat-free mass (FFM) and total body water content (TBW) were valuated employing the bioimpedance method (InBody® 230).
Results
Polynomial equations exhibited the best fit and a general trend of results normalized by height squared presenting higher coefficients of determination (r2) was noted, positively affecting equation validations. Only one exception was observed, since the body fat percentage index (BFPI) resulted in an even lower correlation with BMI. Only these variables exhibited low r2 (0.11 to 0.29), while r2 values ranged from 0.51 to 0.94 for the other results.
Conclusion
Except for the BFP and BFPI, body composition can be estimated by the application of predictive BMI-based models. The equations employed for the indices normalized by the square of height were better predictors, while the use of equations that do not employ this normalization should consider the caveat that individuals with extreme BMI values (40 to 76 kg/m2) present greater estimate deviations in relation to the measured values.
Keywords : Severe obesity; body mass index; body composition; bioimpedance (source: MeSH, NLM).