Diseño Y Validación De Un Modelo Antropométrico Para Evaluar La Masa Grasa Corporal En Mujeres Mexicanas

Abstract

Objective: Develop a multiple linear model, using the least squares method to correlate fat mass (kg), using anthropometric variables obtained from a sample of women from northwest Mexico. Materials: ISAK standardization was used in this study to collect measurements. The statistical criteria R², EER, VIF, Cp, and RMSE were used to evaluate the performance of the model. Method: Descriptive observational cross-sectional study to determine the fat mass of a sample of 95 women from the northwest of Mexico with normal weight and overweight. Results: The adjusted model (M8p) is made up of eight predictors that are statistically most representative in this study: weight, 6 skinfolds, and biliocrestal diameter. The fat mass of the sample was determined using air displacement plethysmography (reference), the mean obtained for the fat mass was 21.3 kg with a standard deviation of ±9.3, the M8p model predicts 20.9±9.9 kg which is 2% below the reference method used. The statistical criteria of the adjusted model are, R²Adj=0.92, SER= 2.9 kg, VIF 4.8, Cp= 7.8, and RMSE= 3.08 obtained with the adjustment sample (70 women), the validation sample (25 women) obtained a value RMSE of 3.15, so the model has predictive capacity. Conclusions: The developed model adequately predicts the fat mass of women with and without excess body fat mass, which makes it valid for use in similar samples, giving the health professional one more option to adequately evaluate this tissue, which will allow giving a optimal treatment on an individualized basis.