ArticleScientific reports2021
The influence of limb role, direction of movement and limb dominance on movement strategies during block jump-landings in volleyball.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Functional Differences Across Playing Roles in Volleyball: A Sensor-Based Assessment.Journal of functional morphology and kinesiology · 2026Article
- Bidirectional longitudinal relationships between MRI-detected structural changes and contralateral knee pain in knee osteoarthritis: Data from the Osteoarthritis Initiative.Osteoarthritis and cartilage open · 2026Article
- Influence of Anticipation on Neuromuscular Control During a Single-Leg Diagonal Drop Jump Landing Task In Female Football Players. A Cross-Sectional Study.European journal of sport science · 2026Article
- Biomechanical improvements in performance and injury prevention in volleyball spikes: effects of a 4-week training program.Scientific reports · 2025Article
- Evaluation of self-reported dominance in upper and lower limbs and its relationship with fatigue onset in dominant limbs using surface electromyography (sEMG) in young adults.International journal of physiology, pathophysiology and pharmacology · 2025Article
- Assessing Changes in Reaction Time Following RAMP Warm-Up and Short-Term Repeated Volleyball Specific Exercise in Young Players.Sensors (Basel, Switzerland) · 2024Article
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5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The identification of movement strategies in situations that are as ecologically valid as possible is essential for the understanding of lower limb interactions. This study considered the kinetic and kinematic data for the hip, knee and ankle joints from 376 block jump-landings when moving in the dominant and non-dominant directions from fourteen senior national female volleyball players. Two Machine Learning methods were used to generate the models from the dataset, Random Forest and Artificial Neural Networks. In addition, decision trees were used to detect which variables were relevant to discern the limb movement strategies and to provide a meaningful prediction. The results showed statistically significant differences when comparing the movement strategies between limb role (accuracy > 88.0% and > 89.3%, respectively), and when moving in the different directions but performing the same role (accuracy > 92.3% and > 91.2%, respectively). This highlights the importance of considering limb dominance, limb role and direction of movement during block jump-landings in the identification of which biomechanical variables are the most influential in the movement strategies. Moreover, Machine Learning allows the exploration of how the joints of both limbs interact during sporting tasks, which could provide a greater understanding and identification of risky movements and preventative strategies. All these detailed and valuable descriptions could provide relevant information about how to improve the performance of the players and how to plan trainings in order to avoid an overload that could lead to risk of injury. This highlights that, there is a necessity to consider the learning models, in which the spike approach unilaterally is taught before the block approach (bilaterally). Therefore, we support the idea of teaching bilateral approach before learning the spike, in order to improve coordination and to avoid asymmetries between limbs.
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