Document Type
Thesis - Open Access
Award Date
2019
Degree Name
Master of Science (MS)
Department / School
Health and Nutritional Sciences
First Advisor
Matthew Vukovich
Abstract
Many Strength and Conditioning (S&C) coaches utilize a one-rep max (1RM) exercise test to gauge the maximal strength of athletes, and then prescribe resistance training programs based on a relative percentage of 1RM to obtain strength or power adaptations. However, many S&C coaches have raised questions regarding the safety and necessity of a 1RM test. Attempts to mitigate the weaknesses of 1RM testing have led to other methods of testing including repetition max testing (3RM, 5RM, 10RM, etc.) as well as load/velocity profiling. The main purpose of this study is to determine if 1RM can be accurately estimated from maximal power outputs at submaximal loads. This study consisted of 28 Division I athletes (male=18, female=10). Subjects were tested for 1RM in the squat (S) and bench press (BP) exercises and followed up with maximal power testing at a range of submaximal loads. Power outputs and velocities were measured using a Tendo® Power Analyzer V-316 electronic device. Significant correlations were found between average power (AP) and 1RM for both males and females in both exercises. Percent 1RM (%1RM) intensities had stronger correlations to actual 1RM (r=0.93, 0.92, 0.91, 0.88) than percent bodyweight (%BW) intensities (r=0.90, 0.87, 0.86, 0.73). However, %BW intensities still possessed adequate correlations to use in the model to predict 1RM with good accuracy. The results from this study indicate that 1RM’s can be accurately predicted from AP measures at submaximal intensities. This method of estimating 1RM may be optimal for athlete safety and most practical for use by S&C coaches.
Library of Congress Subject Headings
Muscle strength -- Testing.
Weight training.
Isometric exercise.
Format
application/pdf
Number of Pages
38
Publisher
South Dakota State University
Recommended Citation
O'Connor, Sean, "Using Maximum Power as a Variable for 1RM Prediction in the Squat and Bench Press" (2019). Electronic Theses and Dissertations. 3158.
https://openprairie.sdstate.edu/etd/3158
Included in
Exercise Science Commons, Nutrition Commons, Sports Sciences Commons