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1,065 results on '"Schoenfeld, Brad J."'

14. Throwing cold water on muscle growth: A systematic review with meta‐analysis of the effects of postexercise cold water immersion on resistance training‐induced hypertrophy

Author

Piñero, Alec, primary, Burke, Ryan, additional, Augustin, Francesca, additional, Mohan, Adam E., additional, DeJesus, Kareen, additional, Sapuppo, Max, additional, Weisenthal, Max, additional, Coleman, Max, additional, Androulakis‐Korakakis, Patroklos, additional, Grgic, Jozo, additional, Swinton, Paul A., additional, and Schoenfeld, Brad J., additional

Published
2024
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22. Gaining more from doing less? The effects of a one-week deload period during supervised resistance training on muscular adaptations

Author

Coleman, Max, primary, Burke, Ryan, additional, Augustin, Francesca, additional, Piñero, Alec, additional, Maldonado, Jaime, additional, Fisher, James P., additional, Israetel, Michael, additional, Androulakis Korakakis, Patroklos, additional, Swinton, Paul, additional, Oberlin, Douglas, additional, and Schoenfeld, Brad J., additional

Published
2024
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28. The Impact of Coronavirus (COVID-19) Related Public-Health Measures on Training Behaviours of Individuals Previously Participating in Resistance Training: A Cross-Sectional Survey Study

Author

Steele, James, Androulakis-Korakakis, Patroklos, Carlson, Luke, Williams, David, Phillips, Stuart, Smith, Dave, Schoenfeld, Brad J., Loenneke, Jeremy P., Winett, Richard, Abe, Takashi, Dufour, Stéphane, Franchi, Martino V., Sarto, Fabio, Lundberg, Tommy R., Gentil, Paulo, Kvorning, Thue, Giessing, Jürgen, Sedliak, Milan, Paoli, Antonio, Spotswood, Fiona, Lucas, Alex, and Fisher, James P.

Published
2021
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37. Determining Changes in Muscle Size and Architecture After Exercise Training: One Site Does Not Fit all.

Author

Nunes, João Pedro, Blazevich, Anthony J., Schoenfeld, Brad J., Kassiano, Witalo, Costa, Bruna D. V., Ribeiro, Alex S., Masatoshi Nakamura, Kazunori Nosaka, and Cyrino, Edilson S.

Subjects
SKELETAL muscle, MUSCULAR hypertrophy, STRETCH (Physiology), PHYSIOLOGICAL adaptation, RESISTANCE training
Abstract

Different methods can be used to assess muscle hypertrophy, but the effects of training on regional changes in muscle size can be detected only using direct muscle measurements such as muscle thickness, cross-sectional area, or volume. Importantly, muscle size increases vary across regions within and between muscles after resistance training programs (i.e., heterogeneous, or nonuniform, muscle hypertrophy). Muscle architectural changes, including fascicle length and pennation angle, after resistance and stretch training programs are also region-specific. In this paper, we show that the literature indicates that a single-site measure of muscle shape does not properly capture the effects achieved after exercise training interventions and that conclusions concerning the magnitude of muscle adaptations can vary substantially depending on the muscle site to be examined. Thus, we propose that measurements of muscle size and architecture should be completed at multiple sites across regions between the agonist muscles within a muscle group and along the length of the muscles to provide an adequate picture of training effects. [ABSTRACT FROM AUTHOR]

Published
2024
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38. Optimizing Resistance Training Technique to Maximize Muscle Hypertrophy: A Narrative Review.

Author

Androulakis Korakakis, Patroklos, Wolf, Milo, Coleman, Max, Burke, Ryan, Piñero, Alec, Nippard, Jeff, and Schoenfeld, Brad J.

Subjects
MUSCULAR hypertrophy, RANGE of motion of joints, POSTURE, RESISTANCE training, HYPERTROPHY, MUSCLE growth
Abstract

Regimented resistance training (RT) has been shown to promote increases in muscle size. When engaging in RT, practitioners often emphasize the importance of appropriate exercise technique, especially when trying to maximize training adaptations (e.g., hypertrophy). This narrative review aims to synthesize existing evidence on what constitutes proper RT exercise technique for maximizing muscle hypertrophy, focusing on variables such as exercise-specific kinematics, contraction type, repetition tempo, and range of motion (ROM). We recommend that when trying to maximize hypertrophy, one should employ a ROM that emphasizes training at long muscle lengths while also employing a repetition tempo between 2 and 8 s. More research is needed to determine whether manipulating the duration of either the eccentric or concentric phase further enhances hypertrophy. Guidelines for body positioning and movement patterns are generally based on implied theory from applied anatomy and biomechanics. However, existing research on the impact of manipulating these aspects of exercise technique and their effect on hypertrophy is limited; it is therefore suggested that universal exercise-specific kinematic guidelines are followed and adopted in accordance with the above recommendations. Future research should investigate the impact of stricter versus more lenient exercise technique variations on hypertrophy. [ABSTRACT FROM AUTHOR]

Published
2024
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39. Prediction of One Repetition Maximum in Free-Weight Back Squat Using a Mixed Approach: The Combination of the Individual Load-Velocity Profile and Generalized Equations.

Author

Fitas, Afonso, Santos, Paulo, Gomes, Miguel, Pezarat-Correia, Pedro, Schoenfeld, Brad J., and Mendonca, Goncalo V.

Subjects
RESISTANCE training, STRUCTURAL equation modeling, EXPERIMENTAL design, PHYSIOLOGICAL effects of acceleration, BODY movement, DESCRIPTIVE statistics, MUSCLE strength, RESEARCH funding, PREDICTION models, WEIGHT-bearing (Orthopedics), EVALUATION
Abstract

Fitas, A, Santos, P, Gomes, M, Pezarat-Correia, P, Schoenfeld, BJ, and Mendonca, GV. Prediction of one repetition maximum in free-weight back squat using a mixed approach: the combination of the individual load-velocity profile and generalized equations. J Strength Cond Res 38(2): 228-235, 2024--We aimed to develop a mixed methods approach for 1 repetition maximum (1RM) prediction based on the development of generalized equations and the individual load-velocity profile (LVP), and to explore the validity of such equations for 1RM prediction. Fifty-seven young men volunteered to participate. The submaximal load-velocity relationship was obtained for the free-weight parallel back squat. The estimated load at 0 velocity (LD0) was used as a single predictor, and in combination with the slope of the individual LVP, to develop equations predictive of 1RM. Prediction accuracy was determined through the mean absolute percent error and Bland-Altman plots. LD0 was predictive of 1RM (p, 0.0001), explaining 70.2% of its variance. Adding the slope of the LVP to the model increased the prediction power of 1RM to 84.4% (p, 0.0001). The absolute percent error between actual and predicted 1RM was lower for the predictions combining LD0 and slope (6.9 vs. 9.6%). The mean difference between actual and estimated 1RM was nearly zero and showed heteroscedasticity for the LD0 model, but not for the combined model. The limits of agreement error were of 31.9 and 23.5 kg for LD0 and LD0 combined with slope, respectively. In conclusion, the slope of the individual LVP adds predictive value to LD0 in 1RM estimation on a group level and avoids error trends in the estimation of 1RM over the entire spectrum of muscle strength. However, the use of mixed methods does not reach acceptable accuracy for 1RM prediction of the free-weight back squat on an individual basis. [ABSTRACT FROM AUTHOR]

Published
2024
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47. Hypertrophic effects of low-load blood flow restriction training with different repetition schemes: A systematic review and meta-analysis

Author

de Queiros, Victor S., primary, Rolnick, Nicholas, additional, Schoenfeld, Brad J., additional, França, Ingrid M., additional, Vieira, João G., additional, Sardeli, Amanda V., additional, Kamis, Okan, additional, Neto, Gabriel R., additional, Cabral, Breno G.A.T., additional, and Dantas, Paulo M. S., additional

Published
2023
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