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| accu measurebody fat caliper, medical, sport supplements, digital caliper, body impedance, metabolic advantage, for, food recipes, dual energy x-ray absorptiometry (dxa), marine habitats, | Third, we included circumferences that provide an estimate of regional fat distribution (23) (41) . These circumference measures were good predictors of overweight and obesity (42) (43) . Waist circumference in men (18) has been associated with central overweight and obesity. Subsequently, the addition body fat measurement of these parameters increased the R2 of the respective sex-specific equation in our model. Finally, the inclusion of knee breadth to the model further improved the R2 in the female equation. Associations between knee breadth and body fat have been previously reported (44) . When estimating BF% in our cohort using Durnin and body fat measurement Womersley and Peterson et al. equations, a trend toward BF% underestimation was observed. Using Bland-Altman plots, the underestimation of BF% was clearly stronger for the Durnin and Womersley equation, a fact that has already been reported (17) (45) . Additionally, the highest percentage of subjects according to our equation had absolute mean differences <5%, followed by Peterson et al. |
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| for men and 0.1% for women) are lower than the ones reported by Peterson et al. in their final equation (0.18% for men and 0.25% for women). On the other hand, the high sport supplements similarity between the RMSE and PRESS RMSE suggests that the final equation calculated in the whole group provides valid sport supplements estimates of BFM. Thus, our new BFM equation had a high predictive capability. The improvement in the predictive capacity of our equations can be explained by various facts. First, we transformed the absolute SF measures to logarithmic ones (20) . Second, we included SFs from the sport supplements trunk and extremities, as reported in other equations. The SF combination for men included frequently used sites that have extensively been shown to be good predictors of BFM (12) . In the equation for women, a rarely included site (chin) had better performance on our regression model in comparison with other common sites; chin SF has been shown to correlate well with body fat (40) . |
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