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  4. The impact of test loads on the accuracy of 1RM prediction using the load-velocity relationship
 

The impact of test loads on the accuracy of 1RM prediction using the load-velocity relationship

URI
https://arbor.bfh.ch/handle/arbor/39942
Version
Published
Date Issued
2018
Author(s)
Sayers, Mark GL
Schlaeppi, Michel
Hitz, Marina
Lorenzetti, Silvio
Type
Article
Language
English
Subjects

Bench press throws Dy...

Abstract
Numerous methods have been proposed that use submaximal loads to predict one repetition maximum (1RM). One common method applies standard linear regression equations to load and average vertical lifting velocity (V; mean; ) data developed during squat jumps or three bench press throw (BP-T). The main aim of this project was to determine which combination of three submaximal loads during BP-T result in the most accurate prediction of 1RM Smith Machine bench press strength in healthy individuals.; In this study combinations of three BP-T loads were used to predict 1RM Smith Machine bench press strength. Additionally, we examined whether regression models developed using peak vertical bar velocity (V; peak; ), rather than V; mean; , provide the most accurate prediction of Smith Machine bench press 1RM. 1RM Smith Machine bench press strength was measured directly in 12 healthy regular weight trainers (body mass=80.8±5.7 kg). Two to three days later a linear position transducer attached to the collars on a Smith Machine was used to record V; mean; and V; peak; during BP-T between 30 and 70% of 1RM (10% increments).; Repeated measures analysis of variance testing showed that the mean values for slope and ordinate intercept for the regression models at each of the load ranges differed significantly depending on whether V; mean; or V; peak; were used in the prediction models (; P;  < 0.001). Conversely, the abscissa intercept did not differ significantly between either measure of vertical bar velocity at each load range. The key finding in this study was that 1RM Smith Machine bench press strength can be determined with high relative accuracy by examining V; mean; and V; peak; during BP-T over three loads, with the most precise models using V; peak; during loads representing 30, 40 and 50% of 1RM (; R; 2;  = 0.96,; SSE;  = 4.2 kg).; These preliminary findings indicate that exercise programmers working with normal healthy populations can accurately predict Smith Machine 1RM bench press strength using relatively light load Smith Machine BP-T testing, avoiding the need to expose their clients to potentially injurious loads.
DOI
10.24451/arbor.10989
https://doi.org/10.24451/arbor.10989
Publisher DOI
10.1186/s13102-018-0099-z
Journal or Serie
BMC Sports Science, Medicine and Rehabilitation
ISSN
2052-1847
Publisher URL
https://bmcsportsscimedrehabil.biomedcentral.com/articles/10.1186/s13102-018-0099-z
Organization
EHSM - Leistungssport  
Eidgenössische Hochschule für Sport Magglingen (nur "virtuell" für ARBOR)  
Volume
10
Issue
9
Publisher
Springer
Submitter
ServiceAccount
Citation apa
Sayers, M. G., Schlaeppi, M., Hitz, M., & Lorenzetti, S. (2018). The impact of test loads on the accuracy of 1RM prediction using the load-velocity relationship. In BMC Sports Science, Medicine and Rehabilitation (Vol. 10, Issue 9). Springer. https://doi.org/10.24451/arbor.10989
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