A systematic review of the main factors that determine agility in sport using structural equation modeling

Hojka, Vladimír; Šťastný, Petr; Řehák, Tomáš; Gołaś, Artur; Mostowik, Aleksandra; Zawart, Marek; Musálek, Martin

doi:10.1515/hukin-2015-0199

Cited by 41 publications

(39 citation statements)

References 30 publications

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“…One of the study limitations lies in the participants’ skills level, as this study did not measure whether the players’ choice of goofy or regular approach was related to their agility ( Hojka et al, 2016 ) or strength performance ( Gołaś et al, 2016 ); the choice of the type of approach was based on participants’ playing habits.…”

Section: Discussionmentioning

confidence: 99%

Kinematic Analysis of Volleyball Attack in the Net Center with Various Types of Take-Off

Zahálka

Malý

Malá

et al. 2017

Journal of Human Kinetics

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The aim of the study was to describe and compare kinematics in two types of execution of attack hit, the goofy approach and regular approach. The research group consisted of players from the Czech Republic’s top league (n = 12, age 28.0 ± 4.3 years, body height 196.6 ± 5.6 cm, body mass 89.7 ± 6.7 kg) divided into two groups according to the individual type of approach in the attack. Analysis of movement was performed by 3D kinematics video analysis, space coordinates were calculated by the DLT (Direct Linear Transformation) method together with interpretation software TEMA Bio 2.3 (Image Systems AB, Sweden). The players started their run-up from a distance of about 4 – 4.5 m from the net with similar maximal vertical velocity (2.91 – 2.96 m⋅s-1). The trajectory of players with goofy approach seemed to be convenient for the rotation of shoulders and hips in the moment of ball contact. Differences between both groups were observed. Players with a goofy approach had a longer flight phase compared to regularly approaching players.

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Section: Discussionmentioning

confidence: 99%

Kinematic Analysis of Volleyball Attack in the Net Center with Various Types of Take-Off

Zahálka

Malý

Malá

et al. 2017

Journal of Human Kinetics

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“…Agility does not currently have a common definition in the literature, and the notion has undergone a lot of definition changes throughout time [13]. One of the most common determines this as a rapid movement of the whole body, with change of speed or direction in response to a stimulus [14].…”

Section: Introductionmentioning

confidence: 99%

Relationship between power condition, agility, and speed performance among young roller hockey elite players

Ferreira¹,

Enes²,

Leão³

et al. 2018

Hum Mov.

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Purpose. The study was intended to describe the correlations between speed performance (11 m, 22 m, and 33 m) and agility test in skates with determinants of muscular power (squat jump, countermovement jump) in young Portuguese roller hockey athletes involved in a regional selection. Methods. A cross-sectional study was conducted among 10 male roller hockey players with mean (± SD) age of 14.20 (0.57) years, involved in the Portuguese national competition of under-15, making part of the final Oporto district selection of players to participate in interregional selections competition. Their mean (± SD) weight, height, body mass index, and sum of the skinfolds were 58.62 (8.78) kg, 165.72 (8.45) cm, 21.26 (1.52) kg/m 2 , 51.80 (14.91) mm, respectively. Furthermore, it strength was measured with squat jump and countermovement jump; sprinting time at 11 m, 22 m, and 33 m was determined, as well as time in an agility t-test, conducted in roller skating. Spearman correlation coefficients were calculated to test the associations. Results. Significant inverse correlations between vertical jumps, a practical method of power training monitoring, and linear velocity in skating (countermovement jump vs. speed,-0.78) were found. Despite the increasing complexity of the agility test, a moderate inverse correlation with strength was observed, too (-0.48). Conclusions. Lower limbs explosive strength turned out a strong predictor of skating linear speed and agility among young roller hockey players, providing a simple evaluation tool of important determinants of performance.

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“…the reason for the measurement using the angular velocity of 60° • s -1 was to apply the most commonly measured velocity, which allows the measurement of maximum muscle strength [32]. Another limitation is the absence of a soccer player agility test, which is more useful for soccer performance [33] and includes changes in directional speed along with short sprints.…”

Section: Ethical Approvalmentioning

confidence: 99%

The relative force in squat jump is the best laboratory predictor of sprint performance in adolescent soccer players

Dragula¹,

Lehnert²,

Psotta³

et al. 2017

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Purpose. the aim was to determine the relationships between linear sprint performance and different outcomes relating to isokinetic strength, jump performance, and intermittent Wingate test performance in well-trained young (U19) soccer players. Methods. the total of 18 elite male soccer players (age: 17.6 ± 0.8 years; body mass: 73.3 ± 5.9 kg, height: 180.8 ± 4.8 cm) performed a 20-m sprint test, countermovement jump, squat jump (SqJ), isokinetic measurement of knee flexors and extensors strength, and intermittent anaerobic test on a bicycle ergometer (IAntbE10×6s with a 30-s rest interval). the strength and power outcomes of laboratory tests served as possible predictors of sprint performance in multiple regression analyses. Results. the correlation analyses showed a significant relationship between all sprint lengths and relative maximum force measured by SqJ (r value: from-0.48 to-0.67) and between all sprint lengths and peak power (PP) measured by IAntbE10×6s (r value: from-0.47 to-0.55). the average power measured by IAntbE10×6s was associated with sprint lengths of 10, 15, and 20 m (r value: from-0.45 to-0.49). the SqJ predicted the 5-m sprint (R = 0.48; R 2 = 0.18) and 10-m sprint (R = 0.55; R 2 = 0.26). the PP together with the relative force (RF) predicted the 15-m (R = 0.65; R 2 = 0.51) and 20-m (R = 0.77; R 2 = 0.64) sprint performance. Conclusions. the RF in SqJ can be used as a parameter relevant to linear 5-m, 10-m, 15-m, and 20-m sprint. together with PP, it can be applied as a parameter relevant to linear 15-m and 20-m sprint.

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A systematic review of the main factors that determine agility in sport using structural equation modeling

Cited by 41 publications

References 30 publications

Kinematic Analysis of Volleyball Attack in the Net Center with Various Types of Take-Off

Kinematic Analysis of Volleyball Attack in the Net Center with Various Types of Take-Off

Relationship between power condition, agility, and speed performance among young roller hockey elite players

The relative force in squat jump is the best laboratory predictor of sprint performance in adolescent soccer players

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