Research Quarterly for Exercise and Sport · 2020 · 54 citations · 33 references
EducationKinesiologySports MedicineAthletic TrainingExercise PhysiologyHuman PerformanceAthletic PerformanceMuscle Strength TestingMuscular StrengthMuscular Strength TestingPhysical FitnessPhysical Performance AssessmentAnthropometric Muscle MeasurementsCompetitive AthletesHandgrip Strength TestingMuscular Strength DevelopmentNeuromuscular Performance AssessmentPeak Height VelocitySomatic MaturationSports Performance Testing
Purpose: To determine the individual contributions of chronological age, somatic maturation, body size and composition, and training experience as indicators of performance in neuromuscular and judo-specific assessments in young athletes. Methods: Sixty-six youth judo athletes performed anthropometric measurements, neuromuscular tests—standing long jump test (SLJ), medicine ball throw test (MBT), handgrip strength test (HGS), and judo-specific tests—Special Judo Fitness test (SJFT) and Judogi Grip Isometric Strength Test (JGSTISO). A multiple linear regression was used with the level of significance set at 5%. Results: The main results showed age-peak height velocity (PHV), body fat and training experience explained close to 20% of SJFT performance. Chronological age, age-PHV, height, body mass and body fat accounted for 42% of variance in JGSTISO. Chronological age, body fat and training experience explained 35% of the variance in SLJ, while chronological age, body mass and body fat explained 53% of the variance in MBT. Finally, age-PHV, body mass and height explained 54% of the variance in HGS. Conclusion: Estimated age-PHV and growth variables explained moderate to large proportions of the variance in neuromuscular tests (with exception of SLJ), while both estimated age-PHV, training and growth variables were predictors of judo-specific performance.
33
Journal of Strength and Conditioning Research
L. Perry Koziris · Strength and conditioning journal · 2003 · 1.6K citations
Education, Kinesiology, Physiology +14
Enhancing a Somatic Maturity Prediction Model
Sarah A. Moore, Heather McKay, Heather Macdonald et al. · Medicine & Science in Sports & Exercise · 2014 · 713 citations · Full text
Medicine, Biostatistics, Pediatrics +17
The Youth Physical Development Model
Rhodri S. Lloyd, Jon L. Oliver · Strength and conditioning journal · 2012 · 661 citations
Handgrip dynamometry in healthy adults
G Martín-Peña, Julián Ruiz‐Galiana · Clinical Nutrition · 2005 · 296 citations