Load-Power relationship during a countermovement jump: A joint level analysis

Kym J. Williams, Dalew W. Chapman, Elissa J. Phillips, Nick B. Ball

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

This study aimed to investigate whether hip, knee, and ankle peak power is influenced by the relative load lifted, altering the joint and system load-power relationship during a countermovement jump (CMJ). Twenty-three male national representative athletes (age: 20.3 ± 3.1 years, squat 1 repetition maximum [1RM]: 133.8 ± 24.8 kg) completed 3 CMJs at relative barbell loads of 0, 10, 20, 30, and 40% of an athlete's estimated back squat 1RM. Ground reaction force and joint kinematics were captured using a 16 camera motion capture array integrated with 2 in-ground triaxial force plates. Hip (∼x = 20%, range 0 >40%), knee (∼x = 0%, 0 >20%), and ankle (∼x = 40%, 0 >40%) peak power was maximized at different percentages of absolute strength, with an athlete-dependent variation in load-power profiles observed across all lower-body joints. A decrease in system (body + barbell mass) peak power was significantly (p ≤0.05, r = 0.45) correlated with a reduction in knee peak power. Timing of instantaneous system and hip peak power occurred significantly closer to toe-off as load increased. The findings highlight that the generation and translation of lower-body joint power is influenced by external load and athlete-dependent traits. This subsequently alters the load-power profile at a system level, explaining the broad spectrums of loads reported to optimize system power during a CMJ. When training, we recommend that a combination of barbell loads based on assorted percentages of the estimated 1RM be prescribed to optimize joint and system power during a CMJ.

Original languageEnglish
Pages (from-to)955-961
Number of pages7
JournalJournal of Strength and Conditioning Research
Volume32
Issue number4
DOIs
Publication statusPublished - 2018

Fingerprint

Dive into the research topics of 'Load-Power relationship during a countermovement jump: A joint level analysis'. Together they form a unique fingerprint.

Cite this