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The Reliability of Individualized Load-Velocity Profiles
被引:101
|作者:
Banyard, Harry G.
[1
,2
]
Nosaka, Kazunori
[1
]
Vernon, Alex D.
[3
]
Haff, G. Gregory
[1
]
机构:
[1] Edith Cowan Univ, Sch Med & Hlth Sci, CESSR, Joondalup, WA, Australia
[2] West Australian Football Commiss, Perth, WA, Australia
[3] Univ Notre Dame Australia, Sch Hlth Sci, Fremantle, WA, Australia
关键词:
peak velocity;
mean velocity;
mean propulsive velocity;
back squat;
velocity-based training;
BENCH PRESS;
CLUSTER SETS;
POWER;
VALIDITY;
D O I:
10.1123/ijspp.2017-0610
中图分类号:
Q4 [生理学];
学科分类号:
071003 ;
摘要:
Purpose: To examine the reliability of peak velocity PV), mean propulsive velocity MPV), and mean velocity MV) in the development of load-velocity profiles LVP) in the full-depth free-weight back squat performed with maximal concentric effort. Methods: Eighteen resistance-trained men performed a baseline 1-repetition maximum 1-RM) back-squat trial and 3 subsequent 1-RM trials used for reliability analyses, with 48-h intervals between trials. 1-RM trials comprised lifts from 6 relative loads including 20%, 40%, 60%, 80%, 90%, and 100% 1-RM. Individualized LVPs for PV, MPV, or MV were derived from loads that were highly reliable based on the following criteria: intraclass correlation coefficient ICC) >.70, coefficient of variation CV) <= 10%, and Cohen d effect size ES) <0.60. Results: PV was highly reliable at all 6 loads. MPV and MV were highly reliable at 20%, 40%, 60%, 80%, and 90% but not 100% 1-RM MPV: ICC = .66, CV = 18.0%, ES = 0.10, SEM = 0.04 m.s(-1); MV: ICC = .55, CV = 19.4%, ES = 0.08, SEM = 0.04 m.s(-1)). When considering the reliable ranges, almost perfect correlations were observed for LVPs derived from PV20-100% r = .91-.93), MPV20-90% r = .92-.94), and MV20-90% r = .94-.95). Furthermore, the LVPs were not significantly different P > .05) between trials or movement velocities or between linear regression versus 2nd-order polynomial fits. Conclusions: PV20-100%, MPV20-90%, and MV20-90% are reliable and can be utilized to develop LVPs using linear regression. Conceptually, LVPs can be used to monitor changes in movement velocity and employed as a method for adjusting sessional training loads according to daily readiness.
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页码:763 / 769
页数:7
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