東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

The Impact of High- vs. Low-Load Resistance Training on Measures of Muscle Activation, Strength, Body Composition, and Hormonal Markers.

Record Type:	Electronic resources : Monograph/item
Title/Author:	The Impact of High- vs. Low-Load Resistance Training on Measures of Muscle Activation, Strength, Body Composition, and Hormonal Markers./
Author:	Bello, Marissa Laina.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2022,
Description:	158 p.
Notes:	Source: Dissertations Abstracts International, Volume: 83-12, Section: B.
Contained By:	Dissertations Abstracts International83-12B.
Subject:	Kinesiology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29062425
ISBN:	9798802700976

The Impact of High- vs. Low-Load Resistance Training on Measures of Muscle Activation, Strength, Body Composition, and Hormonal Markers.
Bello, Marissa Laina.

The Impact of High- vs. Low-Load Resistance Training on Measures of Muscle Activation, Strength, Body Composition, and Hormonal Markers. - Ann Arbor : ProQuest Dissertations & Theses, 2022 - 158 p.

Source: Dissertations Abstracts International, Volume: 83-12, Section: B.

Thesis (Ph.D.)--Mississippi State University, 2022.

This item must not be sold to any third party vendors.

Resistance training has shifted towards a high- vs low-load training approach. Heavier loads are suggested to maximally recruit motor units and optimize strength adaptations, whereas lower loads stimulate hypertrophy. However, a majority of the research has not used a true strength range when assessing load. Therefore, the purpose of this investigation was to examine and determine significant differences in strength, body composition, and hormonal markers over nine weeks of high- or low-load resistance training. Secondary purposes of the current investigation were to assess and quantify training load for resistance training using sEMG sensor-embedded compression shorts. 17 recreationally-trained males were randomized into two groups with training loads of 30 or 85% 1-RM. Both groups completed nine weeks of whole-body resistance training three days per week, with exercises performed as three sets to failure per movement. Measures were collected at baseline and every three weeks after, including muscle thickness, body composition, isometrics/isokinetic strength, and hormonal status (testosterone and cortisol). Predicted 1-RM testing was performed pre- and post-training. Both groups demonstrated significant hypertrophy and strength, although the 85% showed greater improvements in the predicted 1-RM and the isokinetic peak torque values. There were also significant differences between groups for muscle load and training load as measured by the wearables, indicating the technology was able to differentiate between resistance training intensities. However, there were no changes in any of the hormonal markers either in basal levels or acutely post-exercise. Overall, our results suggest a similar hypertrophy and hormone response occurs in both low- and high-load groups when training to failure, but the high-load results in greater strength improvements and higher muscle load output when measured by wearable technology.

ISBN: 9798802700976Subjects--Topical Terms:

517627
Kinesiology.
Subjects--Index Terms:

Hormonal biomarkers

The Impact of High- vs. Low-Load Resistance Training on Measures of Muscle Activation, Strength, Body Composition, and Hormonal Markers.
LDR:03193nmm a2200373 4500 001 2351456
005 20221107085649.5
008 241004s2022 ||||||||||||||||| ||eng d
020 $a 9798802700976
035 $a (MiAaPQ)AAI29062425
035 $a AAI29062425
040 $a MiAaPQ $c MiAaPQ
100 1 $a Bello, Marissa Laina. $0 (orcid)0000-0002-4651-1864 $3 3691028
245 1 4 $a The Impact of High- vs. Low-Load Resistance Training on Measures of Muscle Activation, Strength, Body Composition, and Hormonal Markers.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2022
300 $a 158 p.
500 $a Source: Dissertations Abstracts International, Volume: 83-12, Section: B.
500 $a Advisor: Smith, JohnEric William.
502 $a Thesis (Ph.D.)--Mississippi State University, 2022.
506 $a This item must not be sold to any third party vendors.
520 $a Resistance training has shifted towards a high- vs low-load training approach. Heavier loads are suggested to maximally recruit motor units and optimize strength adaptations, whereas lower loads stimulate hypertrophy. However, a majority of the research has not used a true strength range when assessing load. Therefore, the purpose of this investigation was to examine and determine significant differences in strength, body composition, and hormonal markers over nine weeks of high- or low-load resistance training. Secondary purposes of the current investigation were to assess and quantify training load for resistance training using sEMG sensor-embedded compression shorts. 17 recreationally-trained males were randomized into two groups with training loads of 30 or 85% 1-RM. Both groups completed nine weeks of whole-body resistance training three days per week, with exercises performed as three sets to failure per movement. Measures were collected at baseline and every three weeks after, including muscle thickness, body composition, isometrics/isokinetic strength, and hormonal status (testosterone and cortisol). Predicted 1-RM testing was performed pre- and post-training. Both groups demonstrated significant hypertrophy and strength, although the 85% showed greater improvements in the predicted 1-RM and the isokinetic peak torque values. There were also significant differences between groups for muscle load and training load as measured by the wearables, indicating the technology was able to differentiate between resistance training intensities. However, there were no changes in any of the hormonal markers either in basal levels or acutely post-exercise. Overall, our results suggest a similar hypertrophy and hormone response occurs in both low- and high-load groups when training to failure, but the high-load results in greater strength improvements and higher muscle load output when measured by wearable technology.
590 $a School code: 0132.
650 4 $a Kinesiology. $3 517627
650 4 $a Physiology. $3 518431
650 4 $a Endocrinology. $3 610914
653 $a Hormonal biomarkers
653 $a Isokinetic strength
653 $a Muscle thickness
653 $a Resistance training
653 $a Wearable technology
690 $a 0575
690 $a 0719
690 $a 0409
710 2 $a Mississippi State University. $b Kinesiology. $3 3187547
773 0 $t Dissertations Abstracts International $g 83-12B.
790 $a 0132
791 $a Ph.D.
792 $a 2022
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29062425