Affiliation:
1. Department of Physical Education and Sport Sciences, University of Limerick, Limerick, Ireland;
2. Sport Ireland Institute, IIS Building, National Sports Campus, Abbotstown, Ireland;
3. Health Research Unit, University of Limerick, Limerick, Ireland;
4. School of Medical and Health Sciences, Edith Cowen University, Joondalup, Western Australia, Australia; and
5. School of Health and Society, University of Salford, Salford, Greater, Manchester, United Kingdom
Abstract
Abstract
Brady, CJ, Harrison, AJ, Flanagan, EP, Haff, GG, and Comyns, TM. The relationship between the isometric squat and stretch shortening cycle function and sprint acceleration performance in hurling players. J Strength Cond Res 38(6): e288–e298, 2024—The primary aim was to examine the relationship between sprint acceleration performance and the performance tests: isometric squat (ISqT), countermovement jump (CMJ), and reactive strength index (RSI). The secondary aim determined whether these tests could distinguish between sprint performance levels. Twenty-six male under-21 subjects completed the ISqT, with peak force (PF), relative PF, force at 100, 150, and 200 milliseconds (ms), and impulse (0–200 ms) measured. Jump height (JH) was calculated from the CMJ and RSI during the 10-5 repeated jump test. Subjects completed 3 × 30-m sprints with splits taken at 5, 10, 20, and 30 m. Pearson’s product moment correlations were used to assess the relationships between measures, and independent samples t tests were used to determine whether differences existed in sprint ability of those in the top and bottom quartiles for force at 100 ms, CMJ, and RSI. Significant negative moderate correlations were reported between force at 100 ms and 0–5 m and 5–10 m, significant moderate and large negative correlations between CMJ and all splits and significant large correlations between RSI and splits over 5 m. Force at 100 ms distinguished between performance levels from 0 to 5 m, CMJ from 10 to 20 m, and RSI from 20 to 30 m; faster subjects produced significantly higher force, JHs, and RSI scores. Three principal components explaining 86.1% of the variation in the data set were identified: sprint times and stretch shortening cycle capabilities (33.3%), time-specific force (29.9%), and absolute and relative strength (22.8%).
Publisher
Ovid Technologies (Wolters Kluwer Health)
Reference41 articles.
1. Increased rate of force development and neural drive of human skeletal muscle following resistance training;Aagaard;J Appl Physiol,2002
2. The relationship between maximal strength and reactive strength;Beattie;Int J Sports Physiol Perform,2017
3. A simple method for measurement of mechanical power in jumping;Bosco;Eur J Appl Physiol Occup Physiol,1983
4. A comparison of the isometric mid-thigh pull and isometric squat: Intraday Reliability, usefulness and the magnitude of difference between tests;Brady;Int J Sports Physiol Perform,2017
5. Determining strength: A case for multiple methods of measurement;Buckner;Sports Med,2017