Using Velocity to Predict the Maximum Dynamic Strength in the Power Clean Article Swipe
YOU?
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· 2020
· Open Access
·
· DOI: https://doi.org/10.3390/sports8090129
The primary aim of the present study was to examine the commonly performed training exercise for athlete preparation. Twenty-two recreationally trained males (age: 26.3 ± 4.1 y, height: 1.80 ± 0.07 m; body mass (BM): 87.01 ± 13.75 kg, 1-repetitoon maximum(1-RM)/BM: 0.90 ± 0.19 kg) participated in the present study. All subjects had their 1-RM power clean tested with standard procedures. On a separate testing day, subjects performed three repetitions at 30% and 45%, and two repetitions at 70% and 80% of their 1-RM power clean. During all trials during both sessions, peak velocity (PV) and mean velocity (MV) were measured with the use of a GymAware device. There were no significant differences between the actual and estimated 1-RM power clean (p = 0.37, ES = −0.11) when the load-PV profile was utilized. There was a large typical error (TE) present for the load-PV- and load-MV-estimated 1-RM values. Additionally, the raw TE exceeded the smallest worthwhile change for both load-PV and load-MV profile results. Based upon the results of this study, the load-velocity profile is not an acceptable tool for monitoring power clean strength.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/sports8090129
- https://www.mdpi.com/2075-4663/8/9/129/pdf?version=1600768685
- OA Status
- gold
- Cited By
- 21
- References
- 46
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3086359450
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3086359450Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/sports8090129Digital Object Identifier
- Title
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Using Velocity to Predict the Maximum Dynamic Strength in the Power CleanWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
-
2020-09-18Full publication date if available
- Authors
-
G. Gregory Haff, Amador García‐Ramos, Lachlan P. JamesList of authors in order
- Landing page
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https://doi.org/10.3390/sports8090129Publisher landing page
- PDF URL
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https://www.mdpi.com/2075-4663/8/9/129/pdf?version=1600768685Direct link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2075-4663/8/9/129/pdf?version=1600768685Direct OA link when available
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Power (physics), Mathematics, Statistics, Simulation, Physics, Computer science, ThermodynamicsTop concepts (fields/topics) attached by OpenAlex
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21Total citation count in OpenAlex
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2025: 2, 2024: 8, 2023: 4, 2022: 4, 2021: 3Per-year citation counts (last 5 years)
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46Number of works referenced by this work
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-
10Other works algorithmically related by OpenAlex
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