• Admin Login
    View Item 
    •   Home
    • Faculty of Education, Health and Wellbeing
    • Faculty of Education, Health and Wellbeing
    • View Item
    •   Home
    • Faculty of Education, Health and Wellbeing
    • Faculty of Education, Health and Wellbeing
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of WIRECommunitiesTitleAuthorsIssue DateSubmit DateSubjectsTypesJournalDepartmentPublisherThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsTypesJournalDepartmentPublisher

    Administrators

    Admin Login

    Local Links

    AboutThe University LibraryOpen Access Publications PolicyDeposit LicenceCOREWIRE Copyright and Reuse Information

    Statistics

    Display statistics

    Peak power prediction in junior basketballers: comparing linear and allometric models.

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Authors
    Duncan, Michael J
    Hankey, Joanne
    Lyons, Mark
    James, Rob S
    Nevill, Alan M.
    Issue Date
    2013-03
    
    Metadata
    Show full item record
    Abstract
    Equations, commonly used to predict peak power from jump height, have relied on linear additive models that are biologically unsound beyond the range of observations because of high negative intercept values. This study explored the utility of allometric multiplicative modeling to better predict peak power in adolescent basketball players. Seventy-seven elite junior basketball players (62 adolescent boys, 15 adolescent girls, age = 16.8 ± 0.8 years) performed 3 counter movement jumps (CMJs) on a force platform. Both linear and multiplicative models were then used to determine their efficacy. Four previously published linear equations were significantly associated with actual peak power (all p < 0.01), although here were significant differences between actual and estimated peak power using the SJ and CMJ equations by Sayers (both p < 0.001). Allometric modeling was used to determine an alternative biologically sound equation which was more strongly associated with (r = 0.886, p < 0.001), and not significantly different to (p > 0.05), actual peak power and predicted 77.9% of the variance in actual peak power (adjusted R = 0.779, p < 0.001). Exponents close to 1 for body mass and CMJ height indicated that peak power could also be determined from the product of body mass and CMJ height. This equation was significantly associated (r = 0.871, p < 0.001) with, and not significantly different to, actual peak power (adjusted R = 0.756, p > 0.05) and offered a more accurate estimation of peak power than previously validated linear additive models examined in this study. The allometric model determined from this study or the multiplicative model (body mass × CMJ height) provides biologically sound models to accurately estimate peak power in elite adolescent basketballers that are more accurate than equations based on linear additive models.
    Citation
    Peak power prediction in junior basketballers: comparing linear and allometric models. 2013, 27 (3):597-603 J Strength Cond Res
    Publisher
    Lippincott Williams & Wilkins
    Journal
    Journal of strength and conditioning research / National Strength & Conditioning Association
    URI
    http://hdl.handle.net/2436/293821
    DOI
    10.1519/JSC.0b013e31825d97ac
    PubMed ID
    22643146
    Type
    Journal article
    Language
    en
    ISSN
    1533-4287
    ae974a485f413a2113503eed53cd6c53
    10.1519/JSC.0b013e31825d97ac
    Scopus Count
    Collections
    Faculty of Education, Health and Wellbeing

    entitlement

    Related articles

    • Evaluation of peak power prediction equations in male basketball players.
    • Authors: Duncan MJ, Lyons M, Nevill AM
    • Issue date: 2008 Jul
    • Peak-power estimation equations in 12- to 16-year old children: comparing linear with allometric models.
    • Authors: Duncan MJ, Hankey J, Nevill AM
    • Issue date: 2013 Aug
    • Jump peak power assessment through power prediction equations in different samples.
    • Authors: Lara-Sánchez AJ, Zagalaz ML, Berdejo-Del-Fresno D, Martínez-López EJ
    • Issue date: 2011 Jul
    • Somatotype variables related to strength and power output in male basketball players.
    • Authors: Buśko K, Pastuszak A, Lipińska M, Lipińska M, Gryko K
    • Issue date: 2017
    • Assessment of power output in jump tests for applicants to a sports sciences degree.
    • Authors: Lara AJ, Abián J, Alegre LM, Jiménez L, Aguado X
    • Issue date: 2006 Sep
    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.