Validation of a Velocity Perception Scale for the Bench Press: Accuracy in Velocity Perception and %1RM Perception Across Multiple Loads

Dello Stritto, E, Sánchez-Valdepeñas, J, Romagnoli, R, and Piacentini, MF. Validation of a velocity perception scale for the bench press: Accuracy in velocity perception and %1RM perception across multiple loads. J Strength Cond Res 40(3): 265-271, 2026-The aim of this study was to validate a velocity perception scale specific for the bench press to help subjects accurately perceive the execution velocity of each repetition. In addition, we investigated whether subjects were also able to estimate the lifted %1RM and whether this estimation was more or less accurate than their perception of velocity (PV). Twenty healthy males completed 4 familiarization sessions with the velocity perception scale and 3 testing sessions, where they performed 7 different loads per session in a random order (velocity ranging from 1.10 m·s -1 to 0.20 m·s -1 ). For each repetition, the real velocity (Vr) measured, the perceived velocity (Vp) and the perceived %1RM (%1RMp) were registered. Pearson's correlation ( r ) and the coefficient of determination ( R2 ) demonstrated high values across all 3 days for both Vp-Vr ( r = 0.94-0.95; R2 = 0.89-0.90) and %1RMp-measured %1RM ( r = 0.89-0.92; R2 = 0.80-0.85). The reliability of Vp was assessed using intraclass correlation coefficient (ICC) model 2, form 1, and showed good values for each load used, ranging from ICC = 0.77-0.84 across the 7 loads. Perception of velocity accuracy was determined using the DeltaScore, defined as the difference between Vp and Vr (DeltaScore = Vp - Vr). Subsequently, %1RMp was converted into velocity using individual load-velocity relationships, leading to the creation of DeltaRM defined as the difference between %1RMp (converted to velocity) and Vr (DeltaRM = %1RMp - Vr). This conversion enabled a direct comparison between the accuracy of the DeltaScore (Vp - Vr) and DeltaRM (%1RMp - Vr) via Bland-Altman plots, which consistently revealed a lower error for the DeltaScore. In conclusion, Vp proved to be a very stable parameter across the 3 days, and subjects were able to accurately discriminate even small velocity variations resulting from the use of 7 different loads during bench press.

Authors

Institutions

Publication Details

Journal
The Journal of Strength and Conditioning Research
Published
2026-01-05
DOI
https://doi.org/10.1519/jsc.0000000000005308
Citations
1
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
Field-Weighted Citation Impact
60.11
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Validation of a Velocity Perception Scale for the Bench Press: Accuracy in Velocity Perception and %1RM Perception Across Multiple Loads

Maria Francesca Piacentini, Emanuele Dello Stritto, Ruggero Romagnoli, Juan Sánchez-Valdepeñas
1 citations
The Journal of Strength and Conditioning Research
Balance, Gait, and Falls Prevention
60.11
article

Validation of a Velocity Perception Scale for the Bench Press: Accuracy in Velocity Perception and %1RM Perception Across Multiple Loads

Maria Francesca Piacentini, Emanuele Dello Stritto, Ruggero Romagnoli, Juan Sánchez-Valdepeñas
article en
1 citations

Abstract

Dello Stritto, E, Sánchez-Valdepeñas, J, Romagnoli, R, and Piacentini, MF. Validation of a velocity perception scale for the bench press: Accuracy in velocity perception and %1RM perception across multiple loads. J Strength Cond Res 40(3): 265-271, 2026-The aim of this study was to validate a velocity perception scale specific for the bench press to help subjects accurately perceive the execution velocity of each repetition. In addition, we investigated whether subjects were also able to estimate the lifted %1RM and whether this estimation was more or less accurate than their perception of velocity (PV). Twenty healthy males completed 4 familiarization sessions with the velocity perception scale and 3 testing sessions, where they performed 7 different loads per session in a random order (velocity ranging from 1.10 m·s -1 to 0.20 m·s -1 ). For each repetition, the real velocity (Vr) measured, the perceived velocity (Vp) and the perceived %1RM (%1RMp) were registered. Pearson's correlation ( r ) and the coefficient of determination ( R2 ) demonstrated high values across all 3 days for both Vp-Vr ( r = 0.94-0.95; R2 = 0.89-0.90) and %1RMp-measured %1RM ( r = 0.89-0.92; R2 = 0.80-0.85). The reliability of Vp was assessed using intraclass correlation coefficient (ICC) model 2, form 1, and showed good values for each load used, ranging from ICC = 0.77-0.84 across the 7 loads. Perception of velocity accuracy was determined using the DeltaScore, defined as the difference between Vp and Vr (DeltaScore = Vp - Vr). Subsequently, %1RMp was converted into velocity using individual load-velocity relationships, leading to the creation of DeltaRM defined as the difference between %1RMp (converted to velocity) and Vr (DeltaRM = %1RMp - Vr). This conversion enabled a direct comparison between the accuracy of the DeltaScore (Vp - Vr) and DeltaRM (%1RMp - Vr) via Bland-Altman plots, which consistently revealed a lower error for the DeltaScore. In conclusion, Vp proved to be a very stable parameter across the 3 days, and subjects were able to accurately discriminate even small velocity variations resulting from the use of 7 different loads during bench press.

The Journal of Strength and Conditioning ResearchVol. 40(3)
Università degli Studi eCampus (IT), Foro Italico University of Rome (IT), Fundación Universitaria San Pablo CEU (ES), Universidad Pablo de Olavide (ES)
Openalex Percentile: Top 1%
Balance, Gait, and Falls Prevention
60.11
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.