Estimate of the fat percentage using the BMI
Abstract
Overweight and obesity are characterized as functional or organic disorders in which excess weight is evident in relation to height, or rather excess fat mass relative to lean body mass. Obesity is a risk factor for behavioral, locomotors, cardiovascular, metabolic, endocrine, oncology, respiratory, liver, bone, joint, menstrual and fertility complications. In order to investigate thedifferences in the prevalence of overweight (body mass index or BMI > 24.99) and excessive fat percentage (fat % above normal limits NHANES III) and, especially, to test the existence of correlation between BMI and BIA (bioelectrical impedance analysis orassessment by BIA), 293 women and 257 men were examined by the two methodologies. The difference between said prevalence is significant (p < 0.001). It is also significant (p < 0.001) correlation between BMI and % fat in both sexes, being higher among women. Derived mathematical models of this correlation and adding BMI and age, allow estimating % fat: = -6.4367 + 1.6291BMI -0.07671Age, R20.663, CV 14.31 and P < 0.001 (in women); = -8.7443 + 1.2685BMI -0.03545Age, R20.585, CV 21.98, P < 0.001 (men). This methodology,replicated inregionalpopulation segments, enables theassessment ofoverweight-obesity problemmore effectively, precision and accuracy.
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