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Journal Abstract Search

154 related items for PubMed ID: 38373076

  • 1. Validation of a Single-Session Protocol to Determine the Load-Velocity Profile and One-Repetition Maximum for the Back Squat Exercise.
    Gomes M, Fitas A, Santos P, Pezarat-Correia P, Mendonca GV.
    J Strength Cond Res; 2024 Jun 01; 38(6):1013-1018. PubMed ID: 38373076
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  • 3. Predictive Equations to Estimate Relative Load Based on Movement Velocity in Males and Females: Accuracy of Estimation for the Smith Machine Concentric Back Squat.
    Mendonca GV, Fitas A, Santos P, Gomes M, Pezarat-Correia P.
    J Strength Cond Res; 2023 Aug 01; 37(8):1559-1565. PubMed ID: 36722956
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  • 4. Average optimal minimum velocity threshold: A practical variable to increase the accuracy of one-repetition maximum estimation during the free-weight back squat.
    Fitas A, Gomes M, Santos P, Pezarat-Correia P, García-Ramos A, Mendonca GV.
    J Sports Sci; 2024 Sep 01; 42(18):1767-1775. PubMed ID: 39356873
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  • 5. Load-Velocity Relationship Variables to Assess the Maximal Neuromuscular Capacities During the Back-Squat Exercise.
    Pérez-Castilla A, Jukic I, Janicijevic D, Akyildiz Z, Senturk D, García-Ramos A.
    Sports Health; 2022 Sep 01; 14(6):885-893. PubMed ID: 35114871
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  • 6. Comparison of the Effects of Velocity-Based Training Methods and Traditional 1RM-Percent-Based Training Prescription on Acute Kinetic and Kinematic Variables.
    Banyard HG, Tufano JJ, Delgado J, Thompson SW, Nosaka K.
    Int J Sports Physiol Perform; 2019 Feb 01; 14(2):246-255. PubMed ID: 30080424
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  • 7. Reliability and Validity of the Load-Velocity Relationship to Predict the 1RM Back Squat.
    Banyard HG, Nosaka K, Haff GG.
    J Strength Cond Res; 2017 Jul 01; 31(7):1897-1904. PubMed ID: 27669192
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  • 8. Reliability of 1RM Split-Squat Performance and the Efficacy of Assessing Both Bilateral Squat and Split-Squat 1RM in a Single Session for Non-Resistance-Trained Recreationally Active Men.
    Urquhart BG, Moir GL, Graham SM, Connaboy C.
    J Strength Cond Res; 2015 Jul 01; 29(7):1991-8. PubMed ID: 26102262
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  • 13. Predicting Maximal Dynamic Strength From the Load-Velocity Relationship in Squat Exercise.
    Bazuelo-Ruiz B, Padial P, García-Ramos A, Morales-Artacho AJ, Miranda MT, Feriche B.
    J Strength Cond Res; 2015 Jul 01; 29(7):1999-2005. PubMed ID: 25881572
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  • 14. Using Load-Velocity Relationships to Quantify Training-Induced Fatigue.
    Hughes LJ, Banyard HG, Dempsey AR, Peiffer JJ, Scott BR.
    J Strength Cond Res; 2019 Mar 01; 33(3):762-773. PubMed ID: 30570512
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  • 15. Movement velocity as a measure of loading intensity in resistance training.
    González-Badillo JJ, Sánchez-Medina L.
    Int J Sports Med; 2010 May 01; 31(5):347-52. PubMed ID: 20180176
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  • 16. Load-velocity relationship 1RM predictions: A comparison of Smith machine and free-weight exercise.
    Hughes LJ, Peiffer JJ, Scott BR.
    J Sports Sci; 2020 Nov 01; 38(22):2562-2568. PubMed ID: 32669051
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  • 20. Validity and Reliability of a Wearable Inertial Sensor to Measure Velocity and Power in the Back Squat and Bench Press.
    Orange ST, Metcalfe JW, Liefeith A, Marshall P, Madden LA, Fewster CR, Vince RV.
    J Strength Cond Res; 2019 Sep 01; 33(9):2398-2408. PubMed ID: 29742745
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