Relationship between Running Spatiotemporal Kinematics and Muscle Performance in Well-Trained Youth Female Athletes. A Cross-Sectional Study

Alejandro Castillo-Domínguez, Jerónimo C. García-Romero, Joaquín Páez-Moguer, Tomás Ponce-García, Miguel Medina-Alcántara and José Ramón Alvero-Cruz
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Alejandro Castillo-Domínguez: Department of Nursing and Podiatry, Ampliación Campus de Teatinos, University of Málaga, Arquitecto Francisco Peñalosa, 29071 Málaga, Spain
Jerónimo C. García-Romero: Department of Human Physiology, Histology, Pathological Anatomy and Sports Physical Education, University of Málaga, 29071 Málaga, Spain
Joaquín Páez-Moguer: Department of Nursing and Podiatry, Ampliación Campus de Teatinos, University of Málaga, Arquitecto Francisco Peñalosa, 29071 Málaga, Spain
Tomás Ponce-García: Department of Human Physiology, Histology, Pathological Anatomy and Sports Physical Education, University of Málaga, 29071 Málaga, Spain
Miguel Medina-Alcántara: Department of Nursing and Podiatry, Ampliación Campus de Teatinos, University of Málaga, Arquitecto Francisco Peñalosa, 29071 Málaga, Spain
José Ramón Alvero-Cruz: Department of Human Physiology, Histology, Pathological Anatomy and Sports Physical Education, University of Málaga, 29071 Málaga, Spain

IJERPH, 2021, vol. 18, issue 16, 1-14

Abstract: The purpose of this cross-sectional study was to analyse the relationship of neuromuscular performance and spatiotemporal parameters in 18 adolescent distance athletes (age, 15.5 ± 1.1 years). Using the OptoGait system, the power, rhythm, reactive strength index, jump flying time, and jump height of the squat jump, countermovement jump, and eight maximal hoppings test (HT 8max ) and the contact time (CT), flying time (FT), step frequency, stride angle, and step length of running at different speeds were measured. Maturity offset was determined based on anthropometric variables. Analysis of variance (ANOVA) of repeated measurements showed a reduction in CT ( p < 0.000) and an increase in step frequency, step length, and stride angle ( p < 0.001), as the velocity increased. The HT 8max test showed significant correlations with very large effect sizes between neuromuscular performance variables (reactive strength index, power, jump flying time, jump height, and rhythm) and both step frequency and step length. Multiple linear regression found this relationship after adjusting spatiotemporal parameters with neuromuscular performance variables. Some variables of neuromuscular performance, mainly in reactive tests, were the predictors of spatiotemporal parameters (CT, FT, stride angle, and VO). Rhythm and jump flying time in the HT 8max test and power in the countermovement jump test are parameters that can predict variables associated with running biomechanics, such as VO, CT, FT, and stride angle.

Keywords: muscle performance; biomechanics; kinematics; plyometrics; spatiotemporal; female; youth (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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