ArticleInternational journal of environmental research and public health2022
Concurrent and Predictive Validity of an Exercise-Specific Scale for the Perception of Velocity in the Back Squat.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Temporal Stability and Practical Applicability of Velocity and Velocity-Loss Perception in Back Squat over Eight Weeks.Journal of functional morphology and kinesiology · 2026Article
- Sharpening the Coach's Eye: An Observational Study Investigating the Trainability of An Eye-Tracking Strategy for Perceiving Barbell Velocity Loss in Resistance Training.Sports medicine - open · 2026Article
- The Coach's Eye: A Randomized Repeated-Measure Observational Study Assessing Coaches' Perception of Velocity Loss During Resistance Training Exercises.Sports medicine - open · 2025Article
- Can mental fatigue affect perception of barbell velocity in resistance training?European journal of sport science · 2024Article
- Validation of an Automatic Inertial Sensor-Based Methodology for Detailed Barbell Velocity Monitoring during Maximal Paralympic Bench Press.Sensors (Basel, Switzerland) · 2022Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundthe aim of the study was to develop and validate a specific perception velocity scale for the Back Squat exercise to discriminate the velocity of each repetition during a set.
methods31 resistance trained participants completed 3 evaluation sessions, consisting of 3 blinded loads (light, medium, heavy). For each repetition, barbell mean velocity (Vr) was measured with a linear position transducer while perceived velocity (Vp) was reported using the Squat Perception of Velocity (PV) Scale.
resultsPearson correlation coefficients (r) showed very high values for each intensity in the 3 different days (range r = 0.73-0.83) and practically perfect correlation for all loads (range r = 0.97-0.98). The simple linear regression analysis between Vp and Vr revealed values ranging from R
conclusionsthese results show that the PV Squat Scale is a valid and reliable tool that can be used to accurately quantify exercise intensity.
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