語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
The Accuracy of Predicting One-repet...
~
Macarilla, Christian T.
FindBook
Google Book
Amazon
博客來
The Accuracy of Predicting One-repetition Maximum from Submaximal Velocity in the Back Squat and Bench Press.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
The Accuracy of Predicting One-repetition Maximum from Submaximal Velocity in the Back Squat and Bench Press./
作者:
Macarilla, Christian T.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:
51 p.
附註:
Source: Masters Abstracts International, Volume: 82-03.
Contained By:
Masters Abstracts International82-03.
標題:
Biomechanics. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28028743
ISBN:
9798664732344
The Accuracy of Predicting One-repetition Maximum from Submaximal Velocity in the Back Squat and Bench Press.
Macarilla, Christian T.
The Accuracy of Predicting One-repetition Maximum from Submaximal Velocity in the Back Squat and Bench Press.
- Ann Arbor : ProQuest Dissertations & Theses, 2020 - 51 p.
Source: Masters Abstracts International, Volume: 82-03.
Thesis (M.S.)--Florida Atlantic University, 2020.
This item must not be sold to any third party vendors.
This study examined the accuracy of predicting back squat and bench press one-repetition maximum (1RM) from submaximal average concentric velocity (ACV). Seventeen resistance trained men performed a warm-up and 1RM test on the squat and bench press, in which ACV was assessed on all repetitions. The ACVs during the warm-up closest to 1.0 and 0.5 m.s-1 were used in a 2-point linear regression forecast of 1RM and the ACVs established at the loads closest to 20, 50, 70, and 80% of 1RM were used in a 4-point 1RM prediction. An ANOVA indicated significant differences between predicted and actual 1RM for all predictions (p<0.001). Both Bland-Altman and Mountain plots confirmed the findings of the ANOVA as data were not tightly conformed to the respective zero difference lines. Therefore, these results suggest that a linear regression forecast using submaximal ACV does not accurately predict 1RM in the back squat and bench press.
ISBN: 9798664732344Subjects--Topical Terms:
548685
Biomechanics.
Subjects--Index Terms:
Movement biomechanics
The Accuracy of Predicting One-repetition Maximum from Submaximal Velocity in the Back Squat and Bench Press.
LDR
:02030nmm a2200337 4500
001
2279114
005
20210730131545.5
008
220723s2020 ||||||||||||||||| ||eng d
020
$a
9798664732344
035
$a
(MiAaPQ)AAI28028743
035
$a
AAI28028743
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Macarilla, Christian T.
$3
3557529
245
1 4
$a
The Accuracy of Predicting One-repetition Maximum from Submaximal Velocity in the Back Squat and Bench Press.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2020
300
$a
51 p.
500
$a
Source: Masters Abstracts International, Volume: 82-03.
500
$a
Advisor: Zourdos, Michael.
502
$a
Thesis (M.S.)--Florida Atlantic University, 2020.
506
$a
This item must not be sold to any third party vendors.
520
$a
This study examined the accuracy of predicting back squat and bench press one-repetition maximum (1RM) from submaximal average concentric velocity (ACV). Seventeen resistance trained men performed a warm-up and 1RM test on the squat and bench press, in which ACV was assessed on all repetitions. The ACVs during the warm-up closest to 1.0 and 0.5 m.s-1 were used in a 2-point linear regression forecast of 1RM and the ACVs established at the loads closest to 20, 50, 70, and 80% of 1RM were used in a 4-point 1RM prediction. An ANOVA indicated significant differences between predicted and actual 1RM for all predictions (p<0.001). Both Bland-Altman and Mountain plots confirmed the findings of the ANOVA as data were not tightly conformed to the respective zero difference lines. Therefore, these results suggest that a linear regression forecast using submaximal ACV does not accurately predict 1RM in the back squat and bench press.
590
$a
School code: 0119.
650
4
$a
Biomechanics.
$3
548685
653
$a
Movement biomechanics
653
$a
Performance
653
$a
Resistance training
653
$a
Velocity
690
$a
0648
710
2
$a
Florida Atlantic University.
$b
Exercise Science and Health Promotion.
$3
3186019
773
0
$t
Masters Abstracts International
$g
82-03.
790
$a
0119
791
$a
M.S.
792
$a
2020
793
$a
English
856
4 0
$u
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28028743
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9430847
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入