Modeling the repetitions-in-reserve-velocity relationship : a valid method for resistance training monitoring and prescription, and fatigue management

© 2024 The Authors. Physiological Reports published by Wiley Periodicals LLC on behalf of The Physiological Society and the American Physiological Society..

Establishing a relationship between repetitions left in reserve and the mean absolute velocity (RIR-velocity relationship) during resistance training (RT) could allow for objective monitoring, prescription, and real-time adjustment of the training load and set-volume. Therefore, we examined the goodness of fit and prediction accuracy of general and individual RIR-velocity relationships in the free-weight back squat exercise. The effects of sex, training status and history, as well as personality traits, on the goodness of fit and the accuracy of these relationships were also investigated. Forty-six resistance-trained people (15 females and 31 males) performed a one-repetition maximum (1RM) test, and two repetitions to failure (RTF) tests 72 h apart. We found greater goodness of fit of individual RIR-velocity relationships compared to general RIR-velocity relationships. Individual, but not general RIR-velocity relationships established in the first testing session yielded acceptable prediction accuracy of RIR (mean error <2 repetitions) in the subsequent testing session, regardless of the load used. Similar results were obtained when both general and individual RIR-velocity relationships were averaged across the loads, suggesting that a single RIR-velocity relationship covering a range of loads can be used instead of traditional RT methods, potentially allowing for better fatigue management and more efficient adaptation.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:12

Enthalten in:

Physiological reports - 12(2024), 5 vom: 28. März, Seite e15955

Sprache:

Englisch

Beteiligte Personen:

Jukic, Ivan [VerfasserIn]
Prnjak, Katarina [VerfasserIn]
Helms, Eric R [VerfasserIn]
McGuigan, Michael R [VerfasserIn]

Links:

Volltext

Themen:

Exercise monitoring
Exercise prescription
Fatigue
Journal Article
Rating of perceived exertion
Strength training
Velocity-based training

Anmerkungen:

Date Completed 01.03.2024

Date Revised 02.03.2024

published: Print

Citation Status MEDLINE

doi:

10.14814/phy2.15955

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM369082923