ArticleBMC sports science, medicine & rehabilitation2025
Injury risk analysis of movement restriction and body asymmetry in sports injury prediction.
Article in BMC sports science, medicine & rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Bank-speed alignment: a conceptual framework for understanding indoor track performance.Frontiers in sports and active living · 2026Review
- Neuromuscular responses and inter-limb asymmetry in relation to external load across two sequential pre-season training camp contexts in soccer players.Frontiers in sports and active living · 2026Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSports injuries remain a major concern for athletes and fitness enthusiasts, affecting performance and long-term well-being. Effective prediction and prevention strategies are critical for reducing injury incidence. This study investigates the predictive roles of movement restriction and body asymmetry in sports injury risk.
methodsSports injuries remain a major concern for athletes and fitness enthusiasts, affecting performance and long-term well-being. Effective prediction and prevention strategies are critical for reducing injury incidence. This study investigates the predictive roles of movement restriction and body asymmetry in sports injury risk.
resultsSignificant restrictions in knee and shoulder mobility were associated with increased injury risk. Notably, asymmetries in lower limb strength and flexibility were linked to higher rates of unilateral injuries. For example, a 10% increase in movement restriction corresponded to a 15% higher injury risk, while a 20% strength imbalance predicted a 30% increase. The leg strength imbalance ratio showed a moderate positive correlation with injury rates (r = 0.35, p = 0.03), while the gait symmetry index was negatively correlated (r = -0.42, p < 0.01).
conclusionsJoint mobility and interlimb balance play critical roles in injury susceptibility. Targeted interventions such as personalized exercise regimens and movement retraining may help mitigate these biomechanical risk factors. Future research should explore sport-specific injury mechanisms and refine predictive models using real-time monitoring and machine learning approaches.
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