2.50
Hdl Handle:
http://hdl.handle.net/2436/35253
Title:
Evaluation of peak power prediction equations in male basketball players
Authors:
Duncan, Michael; Lyons, Mark; Nevill, Alan M.
Abstract:
This study compared peak power estimated using 4 commonly used regression equations with actual peak power derived from force platform data in a group of adolescent basketball players. Twenty-five elite junior male basketball players (age, 16.5 +/- 0.5 years; mass, 74.2 +/- 11.8 kg; height, 181.8 +/- 8.1 cm) volunteered to participate in the study. Actual peak power was determined using a countermovement vertical jump on a force platform. Estimated peak power was determined using countermovement jump height and body mass. All 4 prediction equations were significantly related to actual peak power (all p < 0.01). Repeated-measures analysis of variance indicated significant differences between actual peak power and estimate peak power from all 4 prediction equations (p < 0.001). Bonferroni post hoc tests indicated that estimated peak power was significantly lower than actual peak power for all 4 prediction equations. Ratio limits of agreement for actual peak power and estimated peak power were 8% for the Harman et al. and Sayers squat jump prediction equations, 12% for the Canavan and Vescovi equation, and 6% for the Sayers countermovement jump equation. In all cases peak power was underestimated.
Citation:
Journal of Strength and Conditioning Research, 22(4): 1379-1381
Publisher:
Lippincott Williams and Wilkins in association with National Strength and Conditioning Association
Journal:
Journal of Strength and Conditioning Research
Issue Date:
2008
URI:
http://hdl.handle.net/2436/35253
PubMed ID:
18545163
Additional Links:
http://www.nsca-jscr.org/pt/re/jscr/abstract.00124278-200807000-00049.htm;jsessionid=LvpGcyhJQhvSRnQmXgcyrK2cQrCVn86Jb8KKQZ91h1v4xyLwTQlM!-1123973585!181195628!8091!-1
Type:
Article
Language:
en
ISSN:
1533-4287
Appears in Collections:
Sport Performance; Sport, Exercise and Health Research Group; Learning and Teaching in Sport, Exercise and Performance

Full metadata record

DC FieldValue Language
dc.contributor.authorDuncan, Michael-
dc.contributor.authorLyons, Mark-
dc.contributor.authorNevill, Alan M.-
dc.date.accessioned2008-08-13T09:52:03Z-
dc.date.available2008-08-13T09:52:03Z-
dc.date.issued2008-
dc.identifier.citationJournal of Strength and Conditioning Research, 22(4): 1379-1381en
dc.identifier.issn1533-4287-
dc.identifier.pmid18545163-
dc.identifier.urihttp://hdl.handle.net/2436/35253-
dc.description.abstractThis study compared peak power estimated using 4 commonly used regression equations with actual peak power derived from force platform data in a group of adolescent basketball players. Twenty-five elite junior male basketball players (age, 16.5 +/- 0.5 years; mass, 74.2 +/- 11.8 kg; height, 181.8 +/- 8.1 cm) volunteered to participate in the study. Actual peak power was determined using a countermovement vertical jump on a force platform. Estimated peak power was determined using countermovement jump height and body mass. All 4 prediction equations were significantly related to actual peak power (all p < 0.01). Repeated-measures analysis of variance indicated significant differences between actual peak power and estimate peak power from all 4 prediction equations (p < 0.001). Bonferroni post hoc tests indicated that estimated peak power was significantly lower than actual peak power for all 4 prediction equations. Ratio limits of agreement for actual peak power and estimated peak power were 8% for the Harman et al. and Sayers squat jump prediction equations, 12% for the Canavan and Vescovi equation, and 6% for the Sayers countermovement jump equation. In all cases peak power was underestimated.en
dc.language.isoenen
dc.publisherLippincott Williams and Wilkins in association with National Strength and Conditioning Associationen
dc.relation.urlhttp://www.nsca-jscr.org/pt/re/jscr/abstract.00124278-200807000-00049.htm;jsessionid=LvpGcyhJQhvSRnQmXgcyrK2cQrCVn86Jb8KKQZ91h1v4xyLwTQlM!-1123973585!181195628!8091!-1en
dc.subjectVertical jumpen
dc.subjectForce platformen
dc.subjectPrediction equationen
dc.subjectSports Medicine-
dc.subjectBasketball-
dc.subjectJump height-
dc.subjectPerformance measurement-
dc.subjectMale athletes-
dc.titleEvaluation of peak power prediction equations in male basketball playersen
dc.typeArticleen
dc.identifier.journalJournal of Strength and Conditioning Researchen

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