Literature DB >> 30044344

Maturity Status as a Determinant of the Relationships Between Conditioning Qualities and Preplanned Agility in Young Handball Athletes.

Raouf Hammami1, Damir Sekulic2, Mohamed Amin Selmi1, Mourad Fadhloun3, Miodrag Spasic2, Ognjen Uljevic2, Anis Chaouachi1,4.   

Abstract

Hammami, R, Sekulic, D, Selmi, MA, Fadhloun, M, Spasic, M, Uljevic, O, and Chaouachi, A. Maturity status as a determinant of the relationships between conditioning qualities and preplanned agility in young handball athletes. J Strength Cond Res 32(8): 2302-2313, 2018-Studies performed thus far have not accounted for the potential influence of maturity on determinants of preplanned agility. This study aimed to examine how determinants of preplanned agility are affected by the period of peak height velocity (PHV) regarding the anthropometrics and conditioning qualities in young handball players. The sample comprised 56 handball players (male; 12-14 years of age), allocated into 2 groups according to their biological age of maturity: Pre-PHV (N = 34) and Post-PHV (N = 22). Players were evaluated on handball-specific tests of preplanned agility (CODAT and T-HALF). Predictors included anthropometrics, sprinting, horizontal and vertical jumps, and reactive strength index (RSI). The reliability of the tests was appropriate (intraclass correlation coefficient: 0.87-0.95; coefficient of variation: 4.4-5.8%). In the Pre-PHV group, 67% variance of the T-HALF accounted for horizontal countermovement jump (β: -0.83, p < 0.01), 20-m sprint (β: 0.91, p < 0.01), and body mass (β: 0.19, p = 0.02). In the Post-PHV group, 80% of the T-HALF variance was explained, with a significant influence of 20-m sprint (β: 0.52, p < 0.01), RSI (β: -0.24, p = 0.04), and standing long jump (β: -0.57, p = 0.03). In the Pre-PHV group, 45% of the CODAT variance accounted for the partial influence of body fat percentage (β: 0.44, p = 0.04) and a 20-m sprint (β: 0.74, p < 0.01). In the Post-PHV group, the predictors accounted for 79% of the CODAT variance, with a significant influence of the RSI (β: -0.26, p = 0.04) and a 10-m sprint (β: 0.87, p = 0.03). Our results reinforce the need for differential strength and conditioning programs aimed at improving the preplanned agility of young athletes who differ in maturity status.

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Year:  2018        PMID: 30044344     DOI: 10.1519/JSC.0000000000002390

Source DB:  PubMed          Journal:  J Strength Cond Res        ISSN: 1064-8011            Impact factor:   3.775


  11 in total

1.  Improvement of Physical Performance Following a 6 Week Change-of-Direction Training Program in Elite Youth Soccer Players of Different Maturity Levels.

Authors:  Dorsaf Sariati; Raouf Hammami; Hassane Zouhal; Cain C T Clark; Ammar Nebigh; Mokhtar Chtara; Sabri Gaied Chortane; Anthony C Hackney; Nizar Souissi; Urs Granacher; Omar Ben Ounis
Journal:  Front Physiol       Date:  2021-05-24       Impact factor: 4.566

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

Authors:  Damir Sekulic; Nikola Foretic; Barbara Gilic; Michael R Esco; Raouf Hammami; Ognjen Uljevic; Sime Versic; Miodrag Spasic
Journal:  Int J Environ Res Public Health       Date:  2019-09-04       Impact factor: 3.390

3.  Age- and Maturity-Related Variations in Morphology, Body Composition, and Motor Fitness among Young Female Tennis Players.

Authors:  Mustafa Söğüt; Leonardo G O Luz; Ömer Barış Kaya; Kübra Altunsoy; Ali Ahmet Doğan; Sadettin Kirazci; Filipe Manuel Clemente; Pantelis Theodoros Nikolaidis; Thomas Rosemann; Beat Knechtle
Journal:  Int J Environ Res Public Health       Date:  2019-07-07       Impact factor: 3.390

4.  Relationship between Biological Maturation, Physical Fitness, and Kinanthropometric Variables of Young Athletes: A Systematic Review and Meta-Analysis.

Authors:  Mario Albaladejo-Saura; Raquel Vaquero-Cristóbal; Noelia González-Gálvez; Francisco Esparza-Ros
Journal:  Int J Environ Res Public Health       Date:  2021-01-05       Impact factor: 3.390

5.  Association Between Mental Imagery and Change of Direction Performance in Young Elite Soccer Players of Different Maturity Status.

Authors:  Dorsaf Sariati; Hassane Zouhal; Raouf Hammami; Cain C T Clark; Ammar Nebigh; Mokhtar Chtara; Anthony C Hackney; Nizar Souissi; Urs Granacher; Omar Ben Ounis
Journal:  Front Psychol       Date:  2021-06-10

Review 6.  A Review of Countermovement and Squat Jump Testing Methods in the Context of Public Health Examination in Adolescence: Reliability and Feasibility of Current Testing Procedures.

Authors:  Luca Petrigna; Bettina Karsten; Giuseppe Marcolin; Antonio Paoli; Giuseppe D'Antona; Antonio Palma; Antonino Bianco
Journal:  Front Physiol       Date:  2019-11-07       Impact factor: 4.566

7.  Mediation Effect of Age Category on the Relationship between Body Composition and the Physical Fitness Profile in Youth Handball Players.

Authors:  Jorge Molina-López; Iván Barea Zarzuela; Jesús Sáez-Padilla; Inmaculada Tornero-Quiñones; Elena Planells
Journal:  Int J Environ Res Public Health       Date:  2020-03-31       Impact factor: 3.390

8.  Agility Testing in Youth Football (Soccer)Players; Evaluating Reliability, Validity, and Correlates of Newly Developed Testing Protocols.

Authors:  Ante Krolo; Barbara Gilic; Nikola Foretic; Haris Pojskic; Raouf Hammami; Miodrag Spasic; Ognjen Uljevic; Sime Versic; Damir Sekulic
Journal:  Int J Environ Res Public Health       Date:  2020-01-01       Impact factor: 3.390

9.  Change-of-Direction Performance in Elite Soccer Players: Preliminary Analysis According to Their Playing Positions.

Authors:  Dorsaf Sariati; Raouf Hammami; Mokhtar Chtara; Alessandro Zagatto; Daniel Boullosa; Cain C T Clark; Anthony C Hackney; Urs Granacher; Nizar Souissi; Hassane Zouhal
Journal:  Int J Environ Res Public Health       Date:  2020-11-12       Impact factor: 3.390

10.  Relationship between Anthropometric Parameters and Throwing Speed in Amateur Male Handball Players at Different Ages.

Authors:  Jaime Tuquet; Juan Carlos Zapardiel; Jose M Saavedra; Diego Jaén-Carrillo; Demetrio Lozano
Journal:  Int J Environ Res Public Health       Date:  2020-09-25       Impact factor: 3.390

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