de Hoyo, M, Núñez, FJ, Sañudo, B, Gonzalo-Skok, O, Muñoz-López, A, Romero-Boza, S, Otero-Esquina, C, Sánchez, H, and Nimphius, S. Predicting loading intensity measuring velocity in barbell hip thrust exercise. J Strength Cond Res XX(X): 000–000, 2019—The barbell hip thrust is an increasingly used exercise to target the hip extensors. Direct and indirect measurement of 1 repetition maximum (1RM) to determine the relative load of each exercise is time-consuming; therefore, practitioners may be more in favor of monitoring velocity and determining relative load through velocity-based prediction models for an exercise. This study aimed to assess the relationship between mean velocity (MV) and mean propulsive velocity (MPV) at different relative training loads (%1RM) in the barbell hip thrust exercise. One hundred two male sport science students performed an incremental 1RM testing protocol for the barbell hip thrust exercise, and a linear position transducer measured MV and MPV of the barbell. The 1RM was reached at 0.25 ± 0.03 m·s−1, and the regression model generated to estimate a relative load showed an acceptable standard error of estimate (7.01 ± 1.05% 1RM and 7.36 ± 1.05% 1RM for MV and MPV, respectively) with a very large explained variance (R2 = 0.94). These results may have important practical applications for the prescription and monitoring of the accessory exercise of the hip thrust for monitoring training load and predicting 1RM without undertaking a RM test.
1Department of Physical Education and Sport, University of Seville, Seville, Spain;
2Department of Sport and Computing, Faculty of Sport, Pablo de Olavide University, Seville, Spain;
3Faculty of Health Sciences, University of San Jorge, Zaragoza, Spain;
4Medical Department, Udinese Calcio SPA, Udine, Italy;
5Fitness Section, Sevilla Football Club, Seville, Spain; and
6Center for Exercise and Sports Science, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
Address correspondence to Moisés de Hoyo, firstname.lastname@example.org.