Mechanical Analysis of the Acute Effects of a Heavy Resistance Exercise Warm-Up on Agility Performance in Court-Sport Athletes

Sole, Christopher J.; Moir, Gavin L.; Davis, Shala E.; Witmer, Chad A.

doi:10.2478/hukin-2013-0077

Cited by 25 publications

(35 citation statements)

References 28 publications

(40 reference statements)

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“…For researchers, assessing COM velocity is often not as great a challenge in comparison to practitioners, hence the recent use of COM velocity in some recent research studies (78,88,89,102). However, the cost (financial and time) associated with measurement of COM velocity from three-dimensional analysis (e.g.…”

Section: Validity Of Current Cod Measures: Different Results Based Onmentioning

confidence: 99%

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

Nimphius

Callaghan

Bezodis

et al. 2018

Strength &Amp; Conditioning Journal

170

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: Validity Of Current Cod Measures: Different Results Based Onmentioning

confidence: 99%

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

Nimphius

Callaghan

Bezodis

et al. 2018

Strength &Amp; Conditioning Journal

170

218

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“…In contrast, other studies concluded that performance after a PAP inducing activity was not related to training status (McBride et al, 2005). Furthermore, it has been proposed that the PAP may be related to the type of muscle fiber being activated (Wilson et al, 2013), with a higher proportion of fast fibers being related to greater PAP effect (Sole et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Post-activation Potentiation: Effects of Different Conditioning Intensities on Measures of Physical Fitness in Male Young Professional Soccer Players

et al. 2019

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The aim of this study was to compare the effects of different warm-up conditioning intensities on the physical fitness (i.e., post-activation potentiation-PAP), of professional male field soccer players. Athletes (n = 10; age: 21.6 ± 3.2 years) completed a control warm-up and warm-ups aimed to induce PAP, in random and counterbalanced order. After control and experimental warm-up sessions participants completed a triple hop test with the dominant (H3Jd) and a non-dominant (H3Jnd) leg, a squat jump (SJ), a countermovement jump (CMJ), a change of direction ability (COD) test, a repeated sprint with a COD (RSCOD) test and a linear 30-m sprint test (S-30). The control warmup (WU) protocol was designed according to athlete's regular warm-up practice. The experimental warm-ups included the same exercises as the WU, with addition of one set of half-back squats for 10 repetitions at 60%, 5 repetitions at 80%, and 1 repetition at 100% of 1RM (60%-1RM, 80%-1RM and 100%-1RM, respectively.) Threshold values for Cohen's effect sizes (ES) were calculated and used for group's comparison. Likely to most likely improvements were shown in H3Jd (ES = 0.52), H3Jnd (ES = 0.51), COD (ES = 0.38), fasted sprint (RSCODb) (ES = 0.58) and the total time of all sprints (RSCODt) (ES = 0.99) only after the 80%-1RM protocol in comparison to the WU. Conversely, 100%-1RM and 60%-1RM protocols, compared to WU, induced possibly to most likely poorer performance in all jumps, COD and RSCODb (ES = −0.07 to −1.03 and ES = −0.48 to −0.91, respectively). Possibly to most likely improvements were shown in all jumps, COD, RSCODb and RSCODt after the 80%-1RM warm-up protocol in comparison to the 100%-1RM and 60%-1RM warm-up protocols (ES = 0.35 to 2.15 and ES = 0.61 to 1.46, respectively). A moderate warm-up intensity (i.e., 80%-1RM back squat) may induce greater PAP, including improvements in jumping, repeated and non-repeated change of direction speed in male soccer players.

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“…Agility can be defined as an ability to quickly and efficiently change the direction and/or speed of movement ( Sekulic et al, 2013 ). It is generally accepted that agility is an important quality in most sports where a quick and effective pre-planned or non-planned change of the direction is required ( Sattler and Sajber, 2015 ; Sole et al, 2013 ). To clearly distinguish between capacity when an athlete: (i) has advanced knowledge of the necessary change of the direction (i.e.…”

Section: Introductionmentioning

confidence: 99%

Reliability and Factorial Validity of Non-Specific and Tennis-Specific Pre-Planned Agility Tests; Preliminary Analysis

Sekulić

Uljević

Perić

et al. 2017

Journal of Human Kinetics

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Agility is an important quality in tennis, yet there is an evident lack of studies focussing on the applicability of tennis-specific agility performances and comparing them to equivalent non-specific agility performances. The aim of this study was to evaluate the reliability and factorial validity of three tests of pre-planned agility, performed in specific (with a tennis racquet) and non-specific (without a tennis racquet) conditions. The sample consisted of 33 tennis players (13 males and 20 females; age: 18.3 ± 1.1 years and 18.6 ± 1.3 years; body height: 185.4 ± 51 cm and 169.3 ± 4.2 cm, 74.0 ± 4.4 kg and 61.2 ± 3.1 kg, respectively). The variables comprised three agility tests: a 20-yard test, a T-test and the Illinois test, all performed in both specific and non-specific conditions. Between-subject and within-subject reliability were found to be high (Cronbach Alpha: 0.93 to 0.98; Coefficient of Variation: 3 to 8%), with better within-subject reliability and stability of the measurement for specific tests. Pearson’s product moment correlations between the non-specific and specific agility performances were high (r ≥0.84), while factor analysis extracted only one significant latent dimension on the basis of the Guttman-Kaiser criterion. The results of the 20-yard test were better when the test was conducted in the specific conditions (t-test = 2.66; p < 0.05). For the Illinois test, superior results were recorded in the non-specific conditions (t-test = 2.96; p < 0.05), which can be explained by the test duration (about 20 s) and non-specific locomotion forms such as rotational movements. Considering the findings of the present study, when testing tennis-specific pre-planned agility, we suggest using tests of short duration (less than 10 s) and sport-specific types of locomotion.

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Mechanical Analysis of the Acute Effects of a Heavy Resistance Exercise Warm-Up on Agility Performance in Court-Sport Athletes

Cited by 25 publications

References 28 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

Post-activation Potentiation: Effects of Different Conditioning Intensities on Measures of Physical Fitness in Male Young Professional Soccer Players

Reliability and Factorial Validity of Non-Specific and Tennis-Specific Pre-Planned Agility Tests; Preliminary Analysis

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