Impact of the Two-Handed Rugby Ball Carry on Change of Direction Speed and Reactive Agility: Implications for Sport Specific Testing

2014 ◽  
Vol 9 (5) ◽  
pp. 1181-1190 ◽  
Author(s):  
Rudi Meir ◽  
Ryan Holding ◽  
Jamie Hetherington
Keyword(s):  
Change Of Direction ◽  
Reactive Agility

Are Change-of-Direction Speed and Reactive Agility Independent Skills Even When Using the Same Movement Pattern?

2018 ◽  
Vol 32 (7) ◽  
pp. 1929-1936 ◽  
Author(s):  
Milan Čoh ◽  
Janez Vodičar ◽  
Milan Žvan ◽  
Jožef Šimenko ◽  
Jacek Stodolka ◽  
...  
Keyword(s):  
Movement Pattern ◽  
Change Of Direction ◽  
Reactive Agility

scholarly journals Importance of Agility Performance in Professional Futsal Players; Reliability and Applicability of Newly Developed Testing Protocols

2019 ◽  
Vol 16 (18) ◽  
pp. 3246 ◽  
Author(s):  
Damir Sekulic ◽  
Nikola Foretic ◽  
Barbara Gilic ◽  
Michael R. Esco ◽  
Raouf Hammami ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Body Height ◽  
T Test ◽  
Effect Sizes ◽  
Change Of Direction ◽  
Reactive Agility ◽  
Testing Protocols ◽  
Level Group ◽  
Dominant Side

The purpose of this study was to determine the inter- and intra-testing reliability of newly developed tests of the change of direction speed (CODS) and reactive agility (RAG) in competitive futsal players. Additionally, the developed tests were evaluated for their validity with regard to the differentiation of two performance-levels. Thirty-two professional male futsal players (age = 26.22 ± 5.22 years; body height = 182.13 ± 5.99 cm, body mass = 77.43 ± 8.00 kg) participated in the study. The sample was divided into two groups based on their level of futsal performance: A top-level-group (n = 12) and a team-level-group (n = 20). The variables included body height, mass, body mass index, a sprint over a 10-m distance (S10M), and eight newly developed futsal specific CODS and RAG tests. The CODS and RAG tests were performed by dribbling the balls (CODS_D and RAG_D) and without dribbling (CODS_T and RAG_T), and the performances on the dominant and non-dominant sides were observed separately. All CODS, and RAG tests performed on dominant side and RAG_T tests performed on the non-dominant side had good inter-testing (CV = 5–8%; ICC = 0.76–0.89) and intra-testing (CV = 4–9%; ICC = 0.77–0.91) reliability. However, RAG_D performed on the non-dominant side was not reliable (ICC = 0.60, CV = 10%). The top-level-players outperformed the team-level-players in the CODS and RAG tests that involved dribbling (t-test: 4.28 and 2.40, p < 0.05; effect sizes (ES): 0.81 and 1.5, respectively), while the team-level players achieved better results in the CODS_T (t-test: 2.08, p < 0.05; ES: 0.60). The proposed CODS and RAG tests that involved dribbling over a 3.2-m distance, especially on the dominant side, appeared to be reliable, as well as valid for distinguishing the performance level in futsal players.

scholarly journals The Mediating Effect of Change of Direction Speed in the Relationship between the Type of Sport and Reactive Agility in Elite Female Team-Sport Athletes

2021 ◽  
pp. 699-705
Author(s):  
Jarosław Domaradzki ◽  
Marek Popowczak ◽  
Teresa Zwierko
Keyword(s):  
Mediation Analysis ◽  
Team Sports ◽  
Mediating Effect ◽  
Change Of Direction ◽  
Sport Training ◽  
Effective Components ◽  
Study Results ◽  
Reactive Agility ◽  
The Relationship

The main aim of this study was to examine the mediating effect of the change of direction speed (CODs) on reactive agility (RA) in female players participating in different team sports (TS). In total, there were 31 elite female players from the Polish national basketball (n = 12, aged 24.98 ± 3.38) and handball (n = 19, aged 27.34 ± 4.68) teams participated in this study. Two experiments using the ‘five-time shuttle run to gates’ test with similar movement patterns were used to determine the players’ RA and CODs. A simple mediation model was utilised to investigate the potential mediation role of CODs and its effect on RA. The results revealed a primary, statistically significant effect of TS on RA (B = 0.796, p = 0.005), which decreased and became statistically insignificant after including the CODs variable into the model of mediation analysis (B = 0.337, p = 0.192). The RA test results were mediated by changes in CODs (B = 0.764, p < 0.001). Likewise, TS affected CODs (B = 0.602, p = 0.016). The general conclusion is that the relationship between TS and RA is not inherent. The direct effect of TS on RA disappears in the presence of the mediator CODs. Study results confirm the relevance of using the mediation analysis to apply in sport training. Identification of the critical ingredients of the athletes’ agility performance can improve training programs by focusing on effective components.

Reliability and Generality of Measures of Acceleration, Planned Agility, and Reactive Agility

2009 ◽  
Vol 4 (3) ◽  
pp. 345-354 ◽  
Author(s):  
Jon L. Oliver ◽  
Robert W. Meyers
Keyword(s):  
Light Stimulus ◽  
Systematic Bias ◽  
Physically Active ◽  
Change Of Direction ◽  
Straight Line ◽  
Coefficients Of Variation ◽  
Reactive Agility ◽  
Physical Abilities ◽  
High Degree ◽  
Visual Light

Purpose:The purpose of the current study was to assess the reliability of a new protocol that examines different components of agility using commercially available timing gates.Methods:Seventeen physically active males completed four trials of a new protocol, which consisted of a number of 10-m sprints. Sprints were completed in a straight line or with a change of direction after 5 m. The change of direction was either planned or reactive, with participants reacting to a visual light stimulus.Results:There was no systematic bias in any of the measures, although random variation was reduced in the straight acceleration and planned agility when considering only the fnal pair of trials, with mean coefficients of variation (CV) of 1.6% (95%CI, 1.2% to 2.4%) and 1.1% (0.8% to 1.7%), respectively. Reliability of reactive agility remained consistent throughout with mean CVs of approximately 3%. Analyses revealed a high degree of common variance between acceleration times and both planned (r2 = .93) and reactive (r2 = .83) agility, as well as between the two agility protocols (r2 = .87).Conclusion:Both planned and reactive agility could be measured reliably. Protocol design and use of a light stimulus in the reactive test emphasize physical abilities comparable with other test measures. Therefore, inclusion of a reactive light stimulus does not appear to require any additional perceptual qualities.

Predicting futsal specific change of direction speed and reactive agility; analysis of specific correlates in top-level players

2020 ◽  
Author(s):  
Ivan Zeljko ◽  
Miodrag Spasic ◽  
Damir Sekulic
Keyword(s):  
Body Mass ◽  
Predictive Validity ◽  
Body Height ◽  
Negative Influence ◽  
Strength Index ◽  
Advanced Level ◽  
Change Of Direction ◽  
Reactive Agility ◽  
National Champions ◽  
Specific Influence

Purpose: Change of direction speed (CODS) and reactive agility (RAG) are important qual-ities in futsal, but studies rarely examined the predictors of these conditioning capacities in players of advanced level. This study aimed to evaluate predictive validity of certain an-thropometric and conditioning capacities in evaluation of futsal specific CODS and RAG in top-level players. Methods: The sample comprised 54 male players from Croatia and Bosnia and Herzegovina, members of teams competing at the highest national rank, including national champions for the 2017–2018 competitive season in both countries. The variables comprised set of pre-dictors (body mass, body height, triceps skinfold, reactive strength index [RSI], sprint 10 m [S10M], and broad jump [BJ]; and four criteria: futsal specific CODS and RAG, performed with and without dribbling (CODS_D, CODS_WD, RAG_D, RAG_WD). To identify the asso-ciation between variables Pearson’s correlation and multiple regressions were calculated. Results: Observed predictors explained statistically significant (p < 0.05) percentage of vari-ance for all four criteria (Rsq: 0.28, 0.30, 0.23 and 0.25, for CODS_WD, CODS_D, RAG_WD, RAG_D, respectively). Body mass was significant predictor for all criteria (Beta: 0.35–0.51), with poorer performances in heavier players. In both performances which involved dribbling, significant predictors was RSI (Beta: −0.27 and −0.31 for CODS_D and RAG_D, respective-ly), with superior performances in players with better RSI. The S10M and BJ were not identi-fied as being significantly correlated to studied RAG and CODS performances. Conclusion: Study confirmed specific influence of studied predictors of futsal specific CODS and RAG with consistent negative influence of body mass on studied performances. Almost certainly this can be explained by specifics of RAG and CODS execution. Specifically, tests are performed over relatively small distances, with several changes of direction, which clear-ly mimic the futsal specific performances. Although sprint performance is often observed as important determinant of CODS and RAG, herein we did not confirm its predictive validity in explanation of futsal specific CODS and RAG. Future studies should evaluate other poten-tially important predictors of these capacities in futsal.

scholarly journals The Relationship Between Reactive Agility and Change of Direction Speed in Professional Female Basketball and Handball Players

2021 ◽  
Vol 12 ◽  
Author(s):  
Marek Popowczak ◽  
Ireneusz Cichy ◽  
Andrzej Rokita ◽  
Jarosław Domaradzki
Keyword(s):  
Body Mass ◽  
Body Height ◽  
Anthropometric Parameters ◽  
Basketball Players ◽  
Change Of Direction ◽  
Significant Difference ◽  
Anthropometric Features ◽  
Reactive Agility ◽  
Partial Correlations ◽  
The Difference

Assessing the physical ability of players to perform change of direction and the cognitive and motor abilities revealed in reactive agility (RA) is necessary to understand the physical requirements and capabilities of professional players in handball and basketball. The main aim of this study was to determine the differences between professional female basketball and handball players in terms of anthropometric features, change of direction speed (CODS), and the RA task. Moreover, the relationships among anthropometric features, agility, and parameters of perception were determined. Two scenarios of the Five-Time Shuttle Run to Gates test (planned and unplanned) were used to evaluate the CODS and RA. The response time (RT) was also measured in the unplanned scenario. Additionally, the index of reactivity (REAC-INDEX) was specified as the difference between the RA test result and the measurement of CODS. There was a significant difference found in terms of body height, with basketball players being taller than handball players (p = 0.032). Professional female handball players achieved better results than professional female basketball players with regard to RA tasks (p = 0.01) and CODS (p = 0.041). Significant simple correlations between each anthropometric feature (body height, body mass) and values for CODS and RA were observed (r = 0.49–0.53). Applying partial correlation allowed for the assessment of actual relationships among CODS, RA, RT, and REAC-INDEX, without a confounding variable. Detaching the anthropometric parameters from the rest of the relationships resulted in maintenance or changes in r-values and an increased significance in the relationships between each pair: RA vs. RT, RA vs. REAC-INDEX, and RT vs. REAC-INDEX. The strongest associations were related to RT vs. REAC-INDEX (r = 0.97 at detaching body height or body mass, p &lt; 0.001) and CODS vs. RA (r = 0.66 at detaching body height and r = −0.67 at detaching body mass, p &lt; 0.001). It is recommended to use partial correlations in subsequent studies, as simple correlations are not reliable and may not reveal the apparent relationships between the variables. In addition, when determining the CODS and RA, it is suggested to take anthropometric and perception variables into account, such as reaction time or REAC-INDEX.

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