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Kinetic Variables as Indicators of Lower Limb Indirect Injury Risk in Professional Soccer: A Systematic Review
Jorge Pérez-Contreras1,2, Juan Francisco Loro-Ferrer3, Felipe Inostroza-Ríos2,4
1Escuela de Doctorado de La Universidad de Las Palmas de Gran Canaria (EDULPGC), 35016 Las Palmas, Spain.
Journal of Functional Morphology and Kinesiology
|June 26, 2025
Summary
Kinetic variables, like hamstring strength, are key indicators for predicting lower limb injuries in soccer players. Monitoring these can help prevent injuries by identifying muscle imbalances.
Area of Science:
- Sports Medicine
- Biomechanics
- Exercise Physiology
Background:
- Professional soccer places high demands on players, increasing susceptibility to musculoskeletal injuries.
- Identifying injury risk factors is challenging due to the need for appropriate assessment methods and indicators.
- Kinetic variables show promise as indicators for predicting injury risk.
Purpose of the Study:
- To systematically review literature on the relationship between kinetic variables and indirect lower limb injuries in professional soccer.
- To identify specific kinetic variables and assessment methods linked to injury risk.
Main Methods:
- Systematic literature search on Web of Science, PubMed, and Scopus following PRISMA guidelines.
- Inclusion of studies linking dynamometry-assessed kinetic variables to indirect lower limb injuries.
- Qualitative synthesis of sample characteristics, assessments, injury follow-ups, and statistical results.
Main Results:
- 11 studies were included after screening 1096 initial records.
- 10 studies utilized isokinetic dynamometry and the Nordic hamstring curl test for strength assessment.
- Isokinetic strength measures at various angular velocities were consistently linked to injury risk.
Conclusions:
- Kinetic variables, especially isokinetic strength, are strongly associated with indirect lower limb injury risk in professional soccer.
- Eccentric hamstring force and concentric quadriceps torque are crucial indicators of strength deficits and muscular imbalances.
- Integrating kinetic data with contextual factors like fatigue and training load enhances injury risk assessment and prevention.

