Random measurement and prediction errors limit the practical relevance of two velocity sensors to estimate the 1RM back squat

Research output: Journal contributionsJournal articlesResearchpeer-review

Standard

Random measurement and prediction errors limit the practical relevance of two velocity sensors to estimate the 1RM back squat. / Warneke, Konstantin; Skratek, Josua; Wagner, Carl Maximilian et al.
In: Frontiers in Physiology, Vol. 15, 1435103, 10.09.2024.

Research output: Journal contributionsJournal articlesResearchpeer-review

Harvard

APA

Vancouver

Warneke K, Skratek J, Wagner CM, Wirth K, Keiner M. Random measurement and prediction errors limit the practical relevance of two velocity sensors to estimate the 1RM back squat. Frontiers in Physiology. 2024 Sept 10;15:1435103. doi: 10.3389/fphys.2024.1435103

Bibtex

@article{9da24d8408c14bfe94e963838f1d2900,
title = "Random measurement and prediction errors limit the practical relevance of two velocity sensors to estimate the 1RM back squat",
abstract = "Introduction: While maximum strength diagnostics are applied in several sports and rehabilitative settings, dynamic strength capacity has been determined via the one-repetition maximum (1RM) testing for decades. Because the literature concerned several limitations, such as injury risk and limited practical applicability in large populations (e.g., athletic training groups), the strength prediction via the velocity profile has received increasing attention recently. Referring to relative reliability coefficients and inappropriate interpretation of agreement statistics, several previous recommendations neglected systematic and random measurement bias. Methods: This article explored the random measurement error arising from repeated testing (repeatability) and the agreement between two common sensors (vMaxPro and TENDO) within one repetition, using minimal velocity thresholds as well as the velocity = 0 m/s method. Furthermore, agreement analyses were applied to the estimated and measured 1RM in 25 young elite male soccer athletes. Results: The results reported repeatability values with an intraclass correlation coefficient (ICC) = 0.66–0.80, which was accompanied by mean absolute (percentage) errors (MAE and MAPE) of up to 0.04–0.22 m/s and ≤7.5%. Agreement between the two sensors within one repetition showed a systematic lower velocity for the vMaxPro device than the Tendo, with ICCs ranging from 0.28 to 0.88, which were accompanied by an MAE/MAPE of ≤0.13 m/s (11%). Almost all estimations systematically over/ underestimated the measured 1RM, with a random scattering between 4.12% and 71.6%, depending on the velocity threshold used. Discussion: In agreement with most actual reviews, the presented results call for caution when using velocity profiles to estimate strength. Further approaches must be explored to minimize especially the random scattering.",
keywords = "measurement error, reliability, strength estimation, velocity profile, velocity-based training, Physical education and sports",
author = "Konstantin Warneke and Josua Skratek and Wagner, {Carl Maximilian} and Klaus Wirth and Michael Keiner",
note = "Publisher Copyright: Copyright {\textcopyright} 2024 Warneke, Skratek, Wagner, Wirth and Keiner.",
year = "2024",
month = sep,
day = "10",
doi = "10.3389/fphys.2024.1435103",
language = "English",
volume = "15",
journal = "Frontiers in Physiology",
issn = "1664-042X",
publisher = "Frontiers Media",

}

RIS

TY - JOUR

T1 - Random measurement and prediction errors limit the practical relevance of two velocity sensors to estimate the 1RM back squat

AU - Warneke, Konstantin

AU - Skratek, Josua

AU - Wagner, Carl Maximilian

AU - Wirth, Klaus

AU - Keiner, Michael

N1 - Publisher Copyright: Copyright © 2024 Warneke, Skratek, Wagner, Wirth and Keiner.

PY - 2024/9/10

Y1 - 2024/9/10

N2 - Introduction: While maximum strength diagnostics are applied in several sports and rehabilitative settings, dynamic strength capacity has been determined via the one-repetition maximum (1RM) testing for decades. Because the literature concerned several limitations, such as injury risk and limited practical applicability in large populations (e.g., athletic training groups), the strength prediction via the velocity profile has received increasing attention recently. Referring to relative reliability coefficients and inappropriate interpretation of agreement statistics, several previous recommendations neglected systematic and random measurement bias. Methods: This article explored the random measurement error arising from repeated testing (repeatability) and the agreement between two common sensors (vMaxPro and TENDO) within one repetition, using minimal velocity thresholds as well as the velocity = 0 m/s method. Furthermore, agreement analyses were applied to the estimated and measured 1RM in 25 young elite male soccer athletes. Results: The results reported repeatability values with an intraclass correlation coefficient (ICC) = 0.66–0.80, which was accompanied by mean absolute (percentage) errors (MAE and MAPE) of up to 0.04–0.22 m/s and ≤7.5%. Agreement between the two sensors within one repetition showed a systematic lower velocity for the vMaxPro device than the Tendo, with ICCs ranging from 0.28 to 0.88, which were accompanied by an MAE/MAPE of ≤0.13 m/s (11%). Almost all estimations systematically over/ underestimated the measured 1RM, with a random scattering between 4.12% and 71.6%, depending on the velocity threshold used. Discussion: In agreement with most actual reviews, the presented results call for caution when using velocity profiles to estimate strength. Further approaches must be explored to minimize especially the random scattering.

AB - Introduction: While maximum strength diagnostics are applied in several sports and rehabilitative settings, dynamic strength capacity has been determined via the one-repetition maximum (1RM) testing for decades. Because the literature concerned several limitations, such as injury risk and limited practical applicability in large populations (e.g., athletic training groups), the strength prediction via the velocity profile has received increasing attention recently. Referring to relative reliability coefficients and inappropriate interpretation of agreement statistics, several previous recommendations neglected systematic and random measurement bias. Methods: This article explored the random measurement error arising from repeated testing (repeatability) and the agreement between two common sensors (vMaxPro and TENDO) within one repetition, using minimal velocity thresholds as well as the velocity = 0 m/s method. Furthermore, agreement analyses were applied to the estimated and measured 1RM in 25 young elite male soccer athletes. Results: The results reported repeatability values with an intraclass correlation coefficient (ICC) = 0.66–0.80, which was accompanied by mean absolute (percentage) errors (MAE and MAPE) of up to 0.04–0.22 m/s and ≤7.5%. Agreement between the two sensors within one repetition showed a systematic lower velocity for the vMaxPro device than the Tendo, with ICCs ranging from 0.28 to 0.88, which were accompanied by an MAE/MAPE of ≤0.13 m/s (11%). Almost all estimations systematically over/ underestimated the measured 1RM, with a random scattering between 4.12% and 71.6%, depending on the velocity threshold used. Discussion: In agreement with most actual reviews, the presented results call for caution when using velocity profiles to estimate strength. Further approaches must be explored to minimize especially the random scattering.

KW - measurement error

KW - reliability

KW - strength estimation

KW - velocity profile

KW - velocity-based training

KW - Physical education and sports

UR - http://www.scopus.com/inward/record.url?scp=85204720616&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/6dfb985c-1abb-3be3-a137-2a9657111449/

U2 - 10.3389/fphys.2024.1435103

DO - 10.3389/fphys.2024.1435103

M3 - Journal articles

C2 - 39318360

AN - SCOPUS:85204720616

VL - 15

JO - Frontiers in Physiology

JF - Frontiers in Physiology

SN - 1664-042X

M1 - 1435103

ER -

Recently viewed

Publications

  1. Classical PI Controllers with Anti-Windup Techniques Applied on Level Systems
  2. Constrained Independence for Detecting Interesting Patterns
  3. A localized boundary element method for the floating body problem
  4. Guided discovery learning with computer-based simulation games
  5. Enabling Road Condition Monitoring with an on-board Vehicle Sensor Setup
  6. Some model properties to control a permanent magnet machine using a controlled invariant subspace
  7. A Gait Pattern Generator for Closed-Loop Position Control of a Soft Walking Robot
  8. Holistic and scalable ranking of RDF data
  9. Multi-view discriminative sequential learning
  10. The impact of goal focus, task type and group size on synchronous net-based collaborative learning discourses
  11. Mathematics in Robot Control for Theoretical and Applied Problems
  12. Interaction-Dominant Causation in Mind and Brain, and Its Implication for Questions of Generalization and Replication
  13. Soil conditions modify species diversity effects on tree functional trait expression
  14. On the Inclusion of Parameter Uncertainties into Engineering Design Computations
  15. Soft Optimal Computing to Identify Surface Roughness in Manufacturing Using a Gaussian and a Trigonometric Regressor
  16. A Hybrid Actuator and its Control Using a Cascade Sliding Mode Technique
  17. Enacting migration through data practices
  18. Self-regulation in error management training: emotion control and metacognition as mediators of performance effects
  19. Lyapunov approach for a pi-controller with anti-windup in a permanent magnet synchronous motor using chopper control
  20. Mechanical characterization of as-cast AA7075/6060 and CuSn6/Cu99.5 compounds using an experimental and numerical push-out test
  21. Comparison of EKF and TSO for Health Monitoring of a Textile-Based Heater Structure and its Control
  22. The structure of emotions in learning situations
  23. Crises at Work: Potentials for Change?
  24. An Optimal and Stabilising PI Controller with an Anti-windup Scheme for a Purification Process of Potable Water
  25. Direct parameter specification of an attention shift: Evidence from perceptual latency priming
  26. Automatic generation of periodic representative volume elements for matrix-inclusion composites and their efficiency in multiscaling
  27. Confidence levels and likelihood terms in IPCC reports
  28. How many organic compounds are graph-theoretically nonplanar?
  29. Eulerian and Lagrangian perspectives on turbulent superstructures in Rayleigh-Bénard convection
  30. Smart Multi-coil Inductive Power Tranmission with IoT Based Visulization
  31. The generative drawing principle in multimedia learning