-
Je něco špatně v tomto záznamu ?
Cluster sets vs. traditional sets: Levelling out the playing field using a power-based threshold
JJ. Tufano, M. Halaj, T. Kampmiller, A. Novosad, G. Buzgo,
Jazyk angličtina Země Spojené státy americké
Typ dokumentu srovnávací studie, časopisecké články, práce podpořená grantem
NLK
Directory of Open Access Journals
od 2006
Free Medical Journals
od 2006
Public Library of Science (PLoS)
od 2006
PubMed Central
od 2006
Europe PubMed Central
od 2006
ProQuest Central
od 2006-12-01
Open Access Digital Library
od 2006-10-01
Open Access Digital Library
od 2006-01-01
Open Access Digital Library
od 2006-01-01
Medline Complete (EBSCOhost)
od 2008-01-01
Nursing & Allied Health Database (ProQuest)
od 2006-12-01
Health & Medicine (ProQuest)
od 2006-12-01
Public Health Database (ProQuest)
od 2006-12-01
ROAD: Directory of Open Access Scholarly Resources
od 2006
- MeSH
- lidé MeSH
- mladý dospělý MeSH
- sportovci MeSH
- vzpírání * fyziologie MeSH
- Check Tag
- lidé MeSH
- mladý dospělý MeSH
- mužské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- srovnávací studie MeSH
Cluster sets allow for velocity and power output maintenance, but the literature routinely uses highly fatiguing traditional set protocols. Although such studies have merit, others suggest fatigue should be avoided when training to improve power output, making those cluster set studies less practical. Therefore, the purpose of this study was to compare these set structures when truncating sets using a power-based threshold. Nine males (23.4 ± 0.6 yr) with various sport backgrounds performed 6 sets of back squats with individualized loads that elicited the greatest mean power (MPmax) output (112.7 ± 12.1% of body mass). Each set during the traditional set (TS) protocol included as many repetitions as possible until two consecutive repetitions dropped below 90% MPmax, which was followed by 120 s inter-set rest. The design was identical for cluster sets (CS) but with an additional 20 s intra-set rest after every 2 repetitions. The number of repetitions performed, mean velocity, and mean power output, were analyzed using 2(protocol)*6(set) repeated measures ANOVA. The number of repetitions during CS (51.8 ± 14.4) was greater than TS (31.9 ± 3.7) (p = 0.001), but the average velocity (CS = 0.711 ± 0.069, TS = 0.716 ± 0.081 m·s-1; p = 0.732) and power output (CS = 630.3 ± 59.8, TS = 636.0 ± 84.3 W; p = 0.629) of those repetitions were similar. These data indicate that CS are a viable option for increasing training volume during contemporary training where sets are ended when repetitions drop below velocity or power thresholds.
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc19028038
- 003
- CZ-PrNML
- 005
- 20190815112735.0
- 007
- ta
- 008
- 190813s2018 xxu f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1371/journal.pone.0208035 $2 doi
- 035 __
- $a (PubMed)30475910
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxu
- 100 1_
- $a Tufano, James J $u Department of Physiology and Biochemistry, Faculty of Physical Education and Sport, Charles University, Prague, Czech Republic.
- 245 10
- $a Cluster sets vs. traditional sets: Levelling out the playing field using a power-based threshold / $c JJ. Tufano, M. Halaj, T. Kampmiller, A. Novosad, G. Buzgo,
- 520 9_
- $a Cluster sets allow for velocity and power output maintenance, but the literature routinely uses highly fatiguing traditional set protocols. Although such studies have merit, others suggest fatigue should be avoided when training to improve power output, making those cluster set studies less practical. Therefore, the purpose of this study was to compare these set structures when truncating sets using a power-based threshold. Nine males (23.4 ± 0.6 yr) with various sport backgrounds performed 6 sets of back squats with individualized loads that elicited the greatest mean power (MPmax) output (112.7 ± 12.1% of body mass). Each set during the traditional set (TS) protocol included as many repetitions as possible until two consecutive repetitions dropped below 90% MPmax, which was followed by 120 s inter-set rest. The design was identical for cluster sets (CS) but with an additional 20 s intra-set rest after every 2 repetitions. The number of repetitions performed, mean velocity, and mean power output, were analyzed using 2(protocol)*6(set) repeated measures ANOVA. The number of repetitions during CS (51.8 ± 14.4) was greater than TS (31.9 ± 3.7) (p = 0.001), but the average velocity (CS = 0.711 ± 0.069, TS = 0.716 ± 0.081 m·s-1; p = 0.732) and power output (CS = 630.3 ± 59.8, TS = 636.0 ± 84.3 W; p = 0.629) of those repetitions were similar. These data indicate that CS are a viable option for increasing training volume during contemporary training where sets are ended when repetitions drop below velocity or power thresholds.
- 650 _2
- $a sportovci $7 D056352
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a mužské pohlaví $7 D008297
- 650 12
- $a vzpírání $x fyziologie $7 D014891
- 650 _2
- $a mladý dospělý $7 D055815
- 655 _2
- $a srovnávací studie $7 D003160
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Halaj, Matej $u Department of Track and Field, Faculty of Physical Education and Sport, Comenius University, Bratislava, Slovak Republic.
- 700 1_
- $a Kampmiller, Tomas $u Department of Track and Field, Faculty of Physical Education and Sport, Comenius University, Bratislava, Slovak Republic.
- 700 1_
- $a Novosad, Adrian $u Department of Track and Field, Faculty of Physical Education and Sport, Comenius University, Bratislava, Slovak Republic.
- 700 1_
- $a Buzgo, Gabriel $u Department of Sport Kinanthropology, Faculty of Physical Education and Sport, Comenius University, Bratislava, Slovak Republic.
- 773 0_
- $w MED00180950 $t PloS one $x 1932-6203 $g Roč. 13, č. 11 (2018), s. e0208035
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/30475910 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20190813 $b ABA008
- 991 __
- $a 20190815113003 $b ABA008
- 999 __
- $a ok $b bmc $g 1433187 $s 1066498
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2018 $b 13 $c 11 $d e0208035 $e 20181126 $i 1932-6203 $m PLoS One $n PLoS One $x MED00180950
- LZP __
- $a Pubmed-20190813