Reproducibility and Repeatability of Five Different Technologies for Bar Velocity Measurement in Resistance Training

This study aimed to analyze the agreement between five bar velocity monitoring devices, currently used in resistance training, to determine the most reliable device based on reproducibility (between-device agreement for a given trial) and repeatability (between-trial variation for each device). Seventeen resistance-trained men performed duplicate trials against seven increasing loads (20-30-40-50-60-70-80 kg) while obtaining mean, mean propulsive and peak velocity outcomes in the bench press, full squat and prone bench pull exercises. Measurements were simultaneously registered by two linear velocity transducers (LVT), two linear position transducers (LPT), two optoelectronic camera-based systems (OEC), two smartphone video-based systems (VBS) and one accelerometer (ACC). A comprehensive set of statistics for assessing reliability was used. Magnitude of errors was reported both in absolute (m s−1) and relative terms (%1RM), and included the smallest detectable change (SDC) and maximum errors (MaxError). LVT was the most reliable and sensitive device (SDC 0.02–0.06 m s−1, MaxError 3.4–7.1% 1RM) and the preferred reference to compare with other technologies. OEC and LPT were the second-best alternatives (SDC 0.06–0.11 m s−1), always considering the particular margins of error for each exercise and velocity outcome. ACC and VBS are not recommended given their substantial errors and uncertainty of the measurements (SDC > 0.13 m s−1).

[1]  Carlos Balsalobre-Fernández,et al.  Validity and reliability of a novel iPhone app for the measurement of barbell velocity and 1RM on the bench-press exercise , 2018, Journal of sports sciences.

[2]  Juan José González-Badillo,et al.  Effects of velocity loss during resistance training on athletic performance, strength gains and muscle adaptations , 2017, Scandinavian journal of medicine & science in sports.

[3]  G Atkinson,et al.  Statistical Methods For Assessing Measurement Error (Reliability) in Variables Relevant to Sports Medicine , 1998, Sports medicine.

[4]  M. Izquierdo,et al.  Effects of creatine supplementation on muscle power, endurance, and sprint performance. , 2002, Medicine and science in sports and exercise.

[5]  D. Altman,et al.  STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT , 1986, The Lancet.

[6]  Carlos Balsalobre-Fernández,et al.  Validity and Reliability of the PUSH Wearable Device to Measure Movement Velocity During the Back Squat Exercise , 2016, Journal of strength and conditioning research.

[7]  Heleen Beckerman,et al.  Smallest real difference, a link between reproducibility and responsiveness , 2001, Quality of Life Research.

[8]  Juan José González-Badillo,et al.  Velocity loss as an indicator of neuromuscular fatigue during resistance training. , 2011, Medicine and science in sports and exercise.

[9]  J. Youngson Reliability and validity of the GymAware optical encoder to measure displacement data , 2011 .

[10]  Vladimir Pavlovic,et al.  Using a marker-less method for estimating L5/S1 moments during symmetrical lifting. , 2017, Applied ergonomics.

[11]  Kimitake Sato,et al.  Validity of wireless device measuring velocity of resistance exercises , 2015 .

[12]  J. J. González-Badillo,et al.  Time course of recovery following resistance training leading or not to failure , 2017, European Journal of Applied Physiology.

[13]  J. J. González-Badillo,et al.  Velocity- and Power-Load Relationships of the Bench Pull vs. Bench Press Exercises , 2013, International Journal of Sports Medicine.

[14]  A. Nevill,et al.  Why self-report “Likert” scale data should not be log-transformed , 2007, Journal of sports sciences.

[15]  Eneko Larumbe-Zabala,et al.  Validity and reliability of a novel optoelectronic device to measure movement velocity, force and power during the back squat exercise , 2018, Journal of sports sciences.

[16]  W. Martins,et al.  Interpreting reproducibility results for ultrasound measurements , 2014, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

[17]  L. Sánchez-medina,et al.  Movement Velocity as a Measure of Level of Effort During Resistance Exercise. , 2017, Journal of strength and conditioning research.

[18]  J. J. González-Badillo,et al.  Movement Velocity as a Measure of Loading Intensity in Resistance Training , 2010, International journal of sports medicine.

[19]  Juan José González-Badillo,et al.  Estimation of Relative Load From Bar Velocity in the Full Back Squat Exercise , 2017, Sports Medicine International Open.

[20]  A. Hedayat,et al.  Statistical Methods in Assessing Agreement , 2002 .

[21]  Juan José González-Badillo,et al.  Velocity- and power-load relationships in the half, parallel and full back squat , 2018, Journal of sports sciences.

[22]  Jesús G. Pallarés,et al.  Is the high-speed camera-based method a plausible option for bar velocity assessment during resistance training? , 2019, Measurement.

[23]  S. Lopez-Lastra,et al.  Reliability and validity assessment of a linear position transducer. , 2015, Journal of sports science & medicine.

[24]  Juan José González-Badillo,et al.  Maximal intended velocity training induces greater gains in bench press performance than deliberately slower half-velocity training , 2014, European journal of sport science.

[25]  A. Beckett,et al.  AKUFO AND IBARAPA. , 1965, Lancet.

[26]  A. Petrie,et al.  Method agreement analysis: a review of correct methodology. , 2010, Theriogenology.

[27]  R. Hays,et al.  Recommended methods for determining responsiveness and minimally important differences for patient-reported outcomes. , 2008, Journal of clinical epidemiology.

[28]  Amador García-Ramos,et al.  Reliability and concurrent validity of the Velowin optoelectronic system to measure movement velocity during the free-weight back squat , 2018, International Journal of Sports Science & Coaching.

[29]  D. Giavarina Understanding Bland Altman analysis , 2015, Biochemia medica.

[30]  Harry G. Banyard,et al.  Validity of Various Methods for Determining Velocity, Force, and Power in the Back Squat. , 2017, International journal of sports physiology and performance.

[31]  Terry K Koo,et al.  A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research. , 2016, Journal Chiropractic Medicine.

[32]  R. Mora-Rodriguez,et al.  Pseudoephedrine and circadian rhythm interaction on neuromuscular performance , 2015, Scandinavian journal of medicine & science in sports.

[33]  C. Cobelli,et al.  Comparison of Markerless and Marker-Based Motion Capture Technologies through Simultaneous Data Collection during Gait: Proof of Concept , 2014, PloS one.

[34]  Carlos Balsalobre-Fernández,et al.  Analysis of Wearable and Smartphone-Based Technologies for the Measurement of Barbell Velocity in Different Resistance Training Exercises , 2017, Front. Physiol..

[35]  J. Bartlett,et al.  Reliability, repeatability and reproducibility: analysis of measurement errors in continuous variables , 2008, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

[36]  W G Hopkins,et al.  Measures of Reliability in Sports Medicine and Science , 2000, Sports medicine.

[37]  J. J. González-Badillo,et al.  Importance of the Propulsive Phase in Strength Assessment , 2009, International journal of sports medicine.