Assessment of Sprint and Change-of-Direction Performance in College Football Players

Condello, Giancarlo; Schultz, Kevin; Tessitore, Antonio

doi:10.1123/ijspp.8.2.211

Cited by 13 publications

(15 citation statements)

References 5 publications

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“…Existing literature has supported the use of quantifying COD ability relative to one's straight-line sprint ability either as a percentage decrement (15), as an absolute score (65), or further converted to a z-score for comparison to any performance test (69); or to examine COD ability over a shorter distance (79). Therefore, to increase the validity of testing when equipment cost and time is limited, as is the case for many practitioners, the following recommendations can be considered:…”

Section: Practical Applicationsmentioning

confidence: 99%

Change of Direction and Agility Tests: Challenging Our Current Measures of Performance

Nimphius

Callaghan

Bezodis

et al. 2018

Strength &Amp; Conditioning Journal

159

218

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The ability to change direction is a highly valued athletic quality in sport and has been measured extensively. Despite the importance and magnitude of research on change of direction (COD) and agility, the validity of the performance measures used to assess these abilities have faced limited scrutiny. A critical evaluation of our current measures of COD and agility are presented. Further, a summary of recommendations to enhance the validity of COD and agility assessment is provided in the ultimate effort to improve our understanding of this crucial athletic quality.

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Section: Practical Applicationsmentioning

confidence: 99%

Change of Direction and Agility Tests: Challenging Our Current Measures of Performance

Nimphius

Callaghan

Bezodis

et al. 2018

Strength &Amp; Conditioning Journal

159

218

View full text Add to dashboard Cite

show abstract

“…In this regard, previous studies reflected large and very large relationships between COD performance (505 test, pro agility, Illionois) and acceleration ability and/or maximal sprinting speed [4,10]. Similarly, Buchheit et al [11] found large to very large correlations between a 30-m linear sprint and a sprint with COD in different angles (45 • , 90 • , and 135 • ), and a more recent study showed very large correlations between 15-m linear sprinting and a sprint with two 60 • CODs [12]. In contrast, Little and Williams [5], working with soccer players, found poor correlations between acceleration, maximum speed, and COD.…”

Section: Introductionmentioning

confidence: 99%

Relationships between Change of Direction, Sprint, Jump, and Squat Power Performance

Suárez-Arrones

Gonzalo-Skok

Carrasquilla

et al. 2020

Sports

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The aim of the study was to investigate the relationships between countermovement jump (CMJ) height and inertial power in squat and sprint variables with change of direction (COD) performance. Fifty young healthy active males participated in the study. To determine these relationships, we carried out a 10-m linear sprint test (T 10 m), vertical jump tests (CMJ and CMJ Abalakov), an assessment of power relative to bodyweight in a flywheel squat (P bw ), and 10-m COD sprints with two different turn types (COD-90 • and COD-180 • ). T10 m showed statistically large and moderate correlations with T10 m COD-180 • (r = 0.55) and T10-m COD-90 • (r = 0.41), respectively. Moderate to large correlations between jumping height, linear sprinting, and sprints with COD were found (r = −0.43 to r = −0.59), and there were unclear correlations between jumping height and the loss of speed caused by executing COD (DEC-COD). P bw showed a large correlation with CMJ Abalakov and CMJ jump height (r = 0.65 and r = 0.57, respectively), and a moderate and large correlation with T 10 m, T 10 m COD-180 • , and T10 m COD-90 • (r = −0.33, r = −0.38, and r = −0.54, respectively). Despite the existence of substantial correlations between variables, straight linear sprinting, jumping performance, CODs and squat power were, for the most part, separate motor qualities (R 2 from 14% to 34%), suggesting that all of them should be specifically assessed and trained.

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“…In the present study, it is noteworthy that marker trajectories and surface electromyographic data were not collected to simplify the design by focusing on the foot loading and mimicking basketball maneuvers by limiting the experimental devices that were attached to the participants. However, future studies including electromyography results with different sports shoes in basketball players should be carried out in order to determine muscle activity [19,20,34]. Besides, it is considered that different trajectories performed by players could influence the trial times, as well as the impact on shoes [35].…”

Section: Limitationsmentioning

confidence: 99%

Shoe Cushioning Effects on Foot Loading and Comfort Perception during Typical Basketball Maneuvers

et al. 2019

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Purpose: This study aimed to explore the relationship between foot loading and comfort perception in two basketball shoes during basketball-specific maneuvers. Methods: Twelve male collegiate basketball players were required to complete three basketball maneuvers (i.e., side-step cutting, 90 • L-direction running, and lay-up jumping) in two basketball shoe conditions (shoe L and shoe N, with different midsole cushioning types). Two Kistler force plates and a Medilogic insole plantar pressure system were used to collect kinetic data (i.e., impact force, peak loading rate, and plantar pressure variables). Perception scales were used to evaluate comfort perception. Results: No significant difference was observed between the two shoes during maneuvers in terms of ground reaction force. However, the plantar pressure of shoe L in the midfoot and lateral foot regions was significantly greater than that of shoe N during side-step cutting and lay-up jumping. Shoe N was significantly superior to shoe L, especially in dynamic scale in terms of the perception of comfort. The plantar pressure and perception characteristics in the two shoes were significantly different but inconsistent with each other. Conclusion: The biomechanical characteristics of the shoes themselves and the perception evaluation of the athletes should be considered in comprehensive shoe-cushioning design and evaluation.

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Assessment of Sprint and Change-of-Direction Performance in College Football Players

Cited by 13 publications

References 5 publications

Change of Direction and Agility Tests: Challenging Our Current Measures of Performance

Change of Direction and Agility Tests: Challenging Our Current Measures of Performance

Relationships between Change of Direction, Sprint, Jump, and Squat Power Performance

Shoe Cushioning Effects on Foot Loading and Comfort Perception during Typical Basketball Maneuvers

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