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Predictive equations derived from skinfold thickness (SF)1 measurements provide good associations with body fat mass powerlifting (BFM) estimation compared with the reference methods (10) . Additionally, SF measurements are preferred in clinical or epidemiological powerlifting settings because of lower costs and less methodological effort. As a result, a broad variety of predictive equations using SF measurements alone or in combination with other anthropometric measurements (circumferences, lengths, breadths) have been developed (12) (13) . However, many of the equations derived from simple anthropometric measurements show a lack of accuracy in predicting body composition in overweight populations (14) . The well-known SF powerlifting prediction equations from Durnin and Womersley (15) , Jackson et al. (16) , and the newly developed equation from Peterson et al. (17) have been shown to systematically underestimate body fat in subjects with higher BFM. The inclusion of other anthropometric measurements that provide information of fat distribution (waist and hip circumferences) (18) and body frame (breadths) (19) have each contributed separately to improve the predictive capacity of SF measurements (14) (20) .
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