Strength and Power Testing of Athletes: Associations of Common Assessments Over Time

Autor: Kolbjørn Lindberg, Paul Solberg, Thomas Bjørnsen, Christian Helland, Bent Rønnestad, Martin Thorsen Frank, Thomas Haugen, Sindre Østerås, Morten Kristoffersen, Magnus Midttun, Fredrik Sæland, Ingrid Eythorsdottir, Gøran Paulsen
Rok vydání: 2022
Předmět:
Zdroj: International Journal of Sports Physiology and Performance. 17:1280-1288
ISSN: 1555-0273
1555-0265
Popis: Purpose: This study examined the associations among common assessments for measuring strength and power in the lower body of high-performing athletes, including both cross-sectional and longitudinal data. Methods: A total of 100 participants, including both male (n = 83) and female (n = 17) athletes (21 [4] y, 182 [9] cm, 78 [12] kg), were recruited for the study using a multicenter approach. The participants underwent physical testing 4 times. The first 2 sessions (1 and 2) were separated by ∼1 week, followed by a period of 2 to 6 months, whereas the last 2 sessions (3 and 4) were also separated by ∼1 week. The test protocol consisted of squat jumps, countermovement jumps, jump and reach, 30-m sprint, 1-repetition-maximum squat, sprint cycling, and a leg-press test. Results: There were generally acceptable correlations among all performance measures. Variables from the countermovement jumps and leg-press power correlated strongly with all performance assessments (r = .52–.79), while variables from sprint running and squat-jump power displayed more incoherent correlations (r = .21–.82). For changes over time, the correlations were mostly strong, albeit systematically weaker than for cross-sectional measures. Conclusions: The associations observed among the performance assessments seem to be consistent for both cross-sectional data and longitudinal change scores. The weaker correlations for change scores are most likely mainly caused by lower between-subjects variations in the change scores than for the cross-sectional data. The present study provides novel information, helping researchers and practitioners to better interpret the relationships across common performance assessment methods.
Databáze: OpenAIRE
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