Applicability of the Load–Velocity Relationship to Predict 1-Repetition Maximum in the Half-Squat in High-Level Sprinters

in International Journal of Sports Physiology and Performance

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Rasmus B. Kjær Department of Public Health, Exercise Biology, Aarhus University, Aarhus, Denmark
Danish Athletic Federation, The House of Sport, Brøndby, Denmark

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https://orcid.org/0000-0003-4956-0001
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Jon H. Herskind Department of Public Health, Exercise Biology, Aarhus University, Aarhus, Denmark
Department of Biology, Zoophysiology, Aarhus University, Aarhus, Denmark

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Mathias V. Kristiansen Department of Health Science and Technology, Sport Science—Performance and Technology, Aalborg University, Aalborg, Denmark

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Lars G. Hvid Department of Public Health, Exercise Biology, Aarhus University, Aarhus, Denmark
The Danish MS Hospitals, Ry and Haslev, Denmark

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https://orcid.org/0000-0003-3233-0429
DOI:
https://doi.org/10.1123/ijspp.2022-0334
Keywords:
fatigue; 1RM testing; multiple-point method; 2-point method; mean velocity
First Published Online:
08 Jun 2023
In Print:
Volume 18: Issue 8
Page Range:
866–873
Restricted access

Purpose: To investigate the indirect measurement of 1-repetition-maximum (1RM) free-weight half-squat in high-level sprinters using the load–velocity relationship. Methods: Half-squat load and velocity data from 11 elite sprinters were collected in 2 separate testing sessions. Approximately 24 hours prior to the first testing session, sprinters completed a fatiguing high-intensity training session consisting of running intervals, staircase exercises, and body-weight exercises. Prior to the second testing session, sprinters had rested at least 48 hours. Two different prediction models (multiple-point method, 2-point method) were used to estimate 1RM based on the load and either mean or peak concentric velocity data of submaximal lifts (40%–90% 1RM). The criterion validity of all methods was examined through intraclass correlation coefficients, coefficient of variation (CV%), Bland–Altman plots, and the SEM. Results: None of the estimations were significantly different from the actual 1RM. The multiple-point method showed higher intraclass correlation coefficients (.91 to .97), with CVs from 3.6% to 11.7% and SEMs from 5.4% to 10.6%. The 2-point method showed slightly lower intraclass correlation coefficients (.76 to .95), with CVs 1.4% to 17.5% and SEMs from 9.8% to 26.1%. Bland–Altman plots revealed a mean random bias in estimation of 1RM for both methods (mean and peak velocity) ranging from 1.06 to 13.79 kg. Conclusion: Velocity-based methods can be used to roughly estimate 1RM in elite sprinters in the rested and fatigued conditions. However, all methods showed variations that limit their applicability for accurate load prescription for individual athletes.

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