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

2.50
Hdl Handle:
http://hdl.handle.net/2436/293821
Title:
Peak power prediction in junior basketballers: comparing linear and allometric models.
Authors:
Duncan, Michael J; Hankey, Joanne; Lyons, Mark; James, Rob S; Nevill, Alan M.
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
Issue Date:
Mar-2013
URI:
http://hdl.handle.net/2436/293821
DOI:
10.1519/JSC.0b013e31825d97ac
PubMed ID:
22643146
Type:
Article
Language:
en
ISSN:
1533-4287
Appears in Collections:
Sport, Exercise and Health Research Group

Full metadata record

DC FieldValue Language
dc.contributor.authorDuncan, Michael Jen_GB
dc.contributor.authorHankey, Joanneen_GB
dc.contributor.authorLyons, Marken_GB
dc.contributor.authorJames, Rob Sen_GB
dc.contributor.authorNevill, Alan M.en_GB
dc.date.accessioned2013-06-11T14:11:49Z-
dc.date.available2013-06-11T14:11:49Z-
dc.date.issued2013-03-
dc.identifier.citationPeak power prediction in junior basketballers: comparing linear and allometric models. 2013, 27 (3):597-603 J Strength Cond Resen_GB
dc.identifier.issn1533-4287-
dc.identifier.pmid22643146-
dc.identifier.doi10.1519/JSC.0b013e31825d97ac-
dc.identifier.urihttp://hdl.handle.net/2436/293821-
dc.description.abstractEquations, 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.en_GB
dc.language.isoenen
dc.publisherLippincott Williams & Wilkinsen_GB
dc.rightsArchived with thanks to Journal of strength and conditioning research / National Strength & Conditioning Associationen_GB
dc.subjectvertical jumpen_GB
dc.subjectforce platformen_GB
dc.subjectallometric modellingen_GB
dc.subjectexplosive poweren_GB
dc.titlePeak power prediction in junior basketballers: comparing linear and allometric models.en
dc.typeArticleen
dc.identifier.journalJournal of strength and conditioning research / National Strength & Conditioning Associationen_GB

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