» Articles » PMID: 37649782

Identifying Consistent Metrics from the Force-Time Curve of the Countermovement Jump in Combat Fighters and Physically Active Men

Overview
Journal Int J Exerc Sci
Date 2023 Aug 31
PMID 37649782
Authors
Affiliations
Soon will be listed here.
Abstract

We investigated the consistency of metrics obtained from the unweighting, braking, propulsive, and landing phases of the countermovement (CMJ) force-time curve in combat fighters and physically active men. Combat fighters (n=21) and physically actives (n=21) were tested for three days (2-7 days apart). Participants performed four maximal CMJ separated by 1-min for between-day comparisons. From force-time recording, the consistency of 16 CMJ metrics (peak and mean ground reaction forces (GRF), net impulse, and duration from each phase) was investigated using the intraclass correlation coefficient (ICC) and typical error (CV). We considered as "consistent" those metrics showing no systematic differences, ICC ≥ 0.75, and CV ≤ 10%. We further compared the CV between groups and pairs of trials (days). Participants demonstrated more consistency in the braking and propulsive phases, while the unweighting phase did not show any consistent metric. There was no evidence of a learning effect (systematic changes), but analysis appointed more consistency on days 2-3 than on days 1-2 (18 metrics presented lower CV while 11 presented higher). We identified braking and propulsive GRF (peak and mean) and propulsive impulse as consistent metrics for combat fighters, while only propulsive impulse for physically actives. The between-group analyses showed that 24 comparisons favored the combat fighters against only five favoring the physically actives. In conclusion, force-time metrics related to jumping strategy, like phase duration, are less consistent than those related to driven forces and jump output, probably because participants changed their jump strategy during testing days.

Citing Articles

Force-velocity-power variables derived from isometric and dynamic testing: metrics reliability and the relationship with jump performance.

Vieira A, Cunha R, Goncalves C, Dal Pupo J, Tufano J PeerJ. 2024; 12:e18371.

PMID: 39529626 PMC: 11552493. DOI: 10.7717/peerj.18371.

References
1.
Floria P, Gomez-Landero L, Suarez-Arrones L, Harrison A . Kinetic and Kinematic Analysis for Assessing the Differences in Countermovement Jump Performance in Rugby Players. J Strength Cond Res. 2014; 30(9):2533-9. DOI: 10.1519/JSC.0000000000000502. View

2.
Kozinc Z, Zitnik J, Smajla D, Sarabon N . The difference between squat jump and countermovement jump in 770 male and female participants from different sports. Eur J Sport Sci. 2021; 22(7):985-993. DOI: 10.1080/17461391.2021.1936654. View

3.
Bird M, Mi Q, Koltun K, Lovalekar M, Martin B, Fain A . Unsupervised Clustering Techniques Identify Movement Strategies in the Countermovement Jump Associated With Musculoskeletal Injury Risk During US Marine Corps Officer Candidates School. Front Physiol. 2022; 13:868002. PMC: 9132209. DOI: 10.3389/fphys.2022.868002. View

4.
McMahon J, Jones P, Comfort P . Comparison of Countermovement Jump-Derived Reactive Strength Index Modified and Underpinning Force-Time Variables Between Super League and Championship Rugby League Players. J Strength Cond Res. 2019; 36(1):226-231. DOI: 10.1519/JSC.0000000000003380. View

5.
James L, Beckman E, Kelly V, Haff G . The Neuromuscular Qualities of Higher- and Lower-Level Mixed-Martial-Arts Competitors. Int J Sports Physiol Perform. 2016; 12(5):612-620. DOI: 10.1123/ijspp.2016-0373. View