Application of the principal component waveform analysis to identify improvements in vertical jump performance.


Journal

Journal of sports sciences
ISSN: 1466-447X
Titre abrégé: J Sports Sci
Pays: England
ID NLM: 8405364

Informations de publication

Date de publication:
Feb 2019
Historique:
pubmed: 31 7 2018
medline: 15 11 2019
entrez: 31 7 2018
Statut: ppublish

Résumé

The purpose of this study was to determine the effects of training on the force-, velocity-, and displacement-time curves using principal component analysis (PCA) to examine the pre to post intervention changes. Thirty-four trained women basketball players were randomly divided into training and control groups. The training intervention consisted of full squats combined with repeated jumps. The effects of the intervention were analysed before and after the training period of 6 weeks by comparing the principal component scores. The magnitude of differences within-/between-group were calculated and expressed as standardised differences. After the intervention period, clear changes in principal components were observed in the training group compared to the control group. These were related to the execution of a vertical jump with a faster and deeper countermovement that was stopped with greater force. This resulted in greater force from the start of the upward movement phase which was maintained for a longer time. This increase in force throughout a greater range of motion increased the take-off velocity and consequently jumping height.

Identifiants

pubmed: 30058950
doi: 10.1080/02640414.2018.1504602
doi:

Types de publication

Journal Article Randomized Controlled Trial

Langues

eng

Sous-ensembles de citation

IM

Pagination

370-377

Auteurs

Pablo Floría (P)

a Physical Performance & Sports Research , Universidad Pablo de Olavide , Seville , Spain.

Alberto Sánchez-Sixto (A)

b Department of Sport , CEU San Pablo University , Bormujos , Spain.

Andrew J Harrison (AJ)

c Biomechanics Research Unit , University of Limerick. Limerick , Limerick , Ireland.

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Classifications MeSH