Search Results

You are looking at 1 - 10 of 19 items for :

  • "maximum dynamic strength" x
Clear All
Restricted access

Irineu Loturco, Lucas A. Pereira, Cesar C. Cal Abad, Saulo Gil, Katia Kitamura, Ronaldo Kobal and Fábio Y. Nakamura

Purpose:

To determine whether athletes from different sport disciplines present similar mean propulsive velocity (MPV) in the half-squat (HS) during submaximal and maximal tests, enabling prediction of 1-repetition maximum (1-RM) from MPV at any given submaximal load.

Methods:

Sixty-four male athletes, comprising American football, rugby, and soccer players; sprinters and jumpers; and combat-sport strikers attended 2 testing sessions separated by 2–4 wk. On the first visit, a standardized 1-RM test was performed. On the second, athletes performed HSs on Smith-machine equipment, using relative percentages of 1-RM to determine the respective MPV of submaximal and maximal loads. Linear regression established the relationship between MPV and percentage of 1-RM.

Results:

A very strong linear relationship (R 2 ≈ .96) was observed between the MPV and the percentages of HS 1-RM, resulting in the following equation: %HS 1-RM = −105.05 × MPV + 131.75. The MPV at HS 1-RM was ~0.3 m/s.

Conclusion:

This equation can be used to predict HS 1-RM on a Smith machine with a high degree of accuracy.

Restricted access

Alejandro Pérez-Castilla, Antonio Piepoli, Gabriel Garrido-Blanca, Gabriel Delgado-García, Carlos Balsalobre-Fernández and Amador García-Ramos

Objective: To compare the accuracy of different devices to predict the bench-press 1-repetition maximum (1RM) from the individual load–velocity relationship modeled through the multiple- and 2-point methods. Methods: Eleven men performed an incremental test on a Smith machine against 5 loads (45–55–65–75–85%1RM), followed by 1RM attempts. The mean velocity was simultaneously measured by 1 linear velocity transducer (T-Force), 2 linear position transducers (Chronojump and Speed4Lift), 1 camera-based optoelectronic system (Velowin), 2 inertial measurement units (PUSH Band and Beast Sensor), and 1 smartphone application (My Lift). The velocity recorded at the 5 loads (45–55–65–75–85%1RM), or only at the 2 most distant loads (45–85%1RM), was considered for the multiple- and 2-point methods, respectively. Results: An acceptable and comparable accuracy in the estimation of the 1RM was observed for the T-Force, Chronojump, Speed4Lift, Velowin, and My Lift when using both the multiple- and 2-point methods (effect size ≤ 0.40; Pearson correlation coefficient [r] ≥ .94; standard error of the estimate [SEE] ≤ 4.46 kg), whereas the accuracy of the PUSH (effect size = 0.70–0.83; r = .93–.94; SEE = 4.45–4.80 kg), and especially the Beast Sensor (effect size = 0.36–0.84; r = .50–.68; SEE = 9.44–11.2 kg), was lower. Conclusions: These results highlight that the accuracy of 1RM prediction methods based on movement velocity is device dependent, with the inertial measurement units providing the least accurate estimate of the 1RM.

Restricted access

Irineu Loturco, Lucas A. Pereira, Ciro Winckler, Weverton L. Santos, Ronaldo Kobal and Michael McGuigan

perform laborious and time-consuming maximum dynamic strength assessments. Further studies should be conducted to examine the force–velocity relationship in other Paralympic classes and sports, as well as to test these correlations in powerlifters without disabilities. Conclusions The load

Restricted access

María Hernández, Fabrício Zambom-Ferraresi, Pilar Cebollero, Javier Hueto, José Antonio Cascante and María M. Antón

lower extremities and the functional capacity in this population. We hypothesized that muscle power output of the quadriceps femoris would have stronger association with physical activity and functional capacity than maximum dynamic strength in older men with COPD. Methods Participants An observational

Restricted access

Sprints: An Independent Not Dependent Variable Jonathan M. Taylor * Tom W. Macpherson * Iain R. Spears * Matthew Weston * 7 2016 11 5 693 696 10.1123/ijspp.2016-0081 Brief Report Using Bar Velocity to Predict Maximum Dynamic Strength in the Half-Squat Exercise Irineu Loturco * Lucas A. Pereira

Restricted access

Irineu Loturco, Timothy Suchomel, Chris Bishop, Ronaldo Kobal, Lucas A. Pereira and Michael McGuigan

Maximum dynamic strength assessments, also called 1-repetition maximum (1RM) tests, are widely used by coaches and researchers to both evaluate neuromuscular performance and determine training loads. 1 The prescription of strength–power training is usually based on different percentages of 1RM

Restricted access

Manoel E. Lixandrão, Hamilton Roschel, Carlos Ugrinowitsch, Maira Miquelini, Ieda F. Alvarez and Cleiton Augusto Libardi

performed herein were in accordance with the Declaration of Helsinki. Maximum Dynamic Strength Test Maximum dynamic strength was assessed by the 1RM test on the 45° leg-press machine according to previously described criteria. 25 In short, participants performed a general warm-up on a cycle ergometer at 20

Restricted access

Aitor Iturricastillo, Cristina Granados, Raúl Reina, José Manuel Sarabia, Ander Romarate and Javier Yanci

.1080/02640414.2015.1090010 31. Loturco I , Pereira LA , Cal Abad CC , et al . Using bar velocity to predict the maximum dynamic strength in the half-squat exercise . Int J Sports Physiol Perform . 2016 ; 11 ( 5 ): 697 – 700 . PubMed ID: 26457921 doi:10.1123/ijspp.2015-0316 10.1123/ijspp.2015-0316 26457921 32

Restricted access

Irineu Loturco, Michael R. McGuigan, Valter P. Reis, Sileno Santos, Javier Yanci, Lucas A. Pereira and Ciro Winckler

perceived exertion . Applied Physiology, Nutrition, and Metabolism, 33 ( 5 ), 870 – 879 . PubMed ID: 18923561 doi: 10.1139/H08-072 Loturco , I. , Kobal , R. , Moraes , J.E. , Kitamura , K. , Cal Abad , C.C. , Pereira , L.A. , & Nakamura , F.Y. ( 2017 ). Predicting the maximum dynamic

Restricted access

Francisco Luis Pestaña-Melero, G. Gregory Haff, Francisco Javier Rojas, Alejandro Pérez-Castilla and Amador García-Ramos

–retest reliability using the intraclass correlation coefficient and the SEM . J Strength Cond Res . 2005 ; 19 ( 1 ): 231 – 240 . PubMed 15705040 19. Loturco I , Kobal R , Moraes JE , et al . Predicting the maximum dynamic strength in bench-press: the high-precision of the bar-velocity approach . J