Titel
Reproducibility of strength performance and strength-endurance profiles: A test-retest study
... show all
Abstract
The present study was designed to evaluate the test-retest consistency of repetition maximum tests at standardized relative loads and determine the robustness of strength-endurance profiles across test-retest trials. Twenty-four resistance-trained males and females (age, 27.4 ± 4.0 y; body mass, 77.2 ± 12.6 kg; relative bench press one-repetition maximum [1-RM], 1.19 ± 0.23 kg•kg-1) were assessed for their 1-RM in the free-weight bench press. After 48 to 72 hours, they were tested for the maximum number of achievable repetitions at 90%, 80% and 70% of their 1-RM. A retest was completed for all assessments one week later. Gathered data were used to model the relationship between relative load and repetitions to failure with respect to individual trends using Bayesian multilevel modeling and applying four recently proposed model types. The maximum number of repetitions showed slightly better reliability at lower relative loads (ICC at 70% 1-RM = 0.86, 90% highest density interval: [0.71, 0.93]) compared to higher relative loads (ICC at 90% 1-RM = 0.65 [0.39, 0.83]), whereas the absolute agreement was slightly better at higher loads (SEM at 90% 1-RM = 0.7 repetitions [0.5, 0.9]; SEM at 70% 1-RM = 1.1 repetitions [0.8, 1.4]). The linear regression model and the 2-parameters exponential regression model revealed the most robust parameter estimates across test-retest trials. Results testify to good reproducibility of repetition maximum tests at standardized relative loads obtained over short periods of time. A complementary free-to-use web application was developed to help practitioners calculate strength-endurance profiles and build individual repetition maximum tables based on robust statistical models.
Stichwort
Strength trainingLinear regression analysisWeb-based applicationsExerciseVelocityMaterial fatigueReliabilityStatistical models
Objekt-Typ
Sprache
Englisch [eng]
Persistent identifier
Erschienen in
Titel
PLOS ONE
Band
17
Ausgabe
5
ISSN
1932-6203
Erscheinungsdatum
2022
Publication
Public Library of Science (PLoS)
Erscheinungsdatum
2022
Zugänglichkeit
Rechte
Rechteangabe
© 2022 Mitter et al
Universität Wien | Universitätsring 1 | 1010 Wien | T
+43-1-4277-0