Surfing the Waves of the CMJ [Elektronisk resurs] Are There between-Sport Differences in the Waveform Data?

• The ability to analyse countermovement jump (CMJ) waveform data using statistical methods, like principal component analysis, can provide additional information regarding the different phases of the CMJ, compared to jump height or peak power alone. The aim of this study was to investigate the between-sport force-time curve differences in the CMJ. Eighteen high level golfers (male = 10, female = 8) and eighteen high level surfers (male = 10, female = 8) performed three separate countermovement jumps on a force platform. Time series of data from the force platform was normalized to body weight and each repetition was then normalized to 0–100 percent. Principal component analyses (PCA) were performed on force waveforms and the first six PCs explained 35% of the variance in force parameters. The main features of the movement cycles were characterized by magnitude (PC1 and PC5), waveform (PC2 and PC4), and phase shift features (PC3). Surf athletes differ in their CMJ technique and show a greater negative centre of mass displacement when compared to golfers (PC1), although these differences are not necessarily associated with greater jump height. Principal component 5 demonstrated the largest correlation with jump height (R 2   = 0.52). Further studies are recommended in this area, to reveal which features of the CMJ thatrelate to jumping performance, and sport specific adaptations. © 2018 by the authors. 

Ämnesord

Medical and Health Sciences  (hsv)

Health Sciences  (hsv)

Sport and Fitness Sciences  (hsv)

Medicin och hälsovetenskap  (hsv)

Hälsovetenskaper  (hsv)

Idrottsvetenskap  (hsv)

Genre

government publication  (marcgt)

Indexterm och SAB-rubrik

force-time

jump testing

kinetic assessment

principal component analysis

vertical jump