Design methodology of targeted corrective and preventive programs: from biomechanical metrics to kinesiological modeling

Authors

  • Dmytro Yuriyovych Demiohin Lecturer, Department of Kinesiology and Physical Education and Sports Rehabilitation, National University of Physical Education and Sport of Ukraine, 1 Fizkultury Street, Kyiv, 03150, Ukraine https://orcid.org/0009-0001-1346-7465
  • Yuriy Yuriyovych Krykun Doctor of Philosophy in Physical Education and Sports, Lecturer, Department of Kinesiology and Physical Education and Sports Rehabilitation, National University of Ukraine on Physical Education and Sport, 1 Fizkultury St., Kyiv, 03150, Ukraine https://orcid.org/0009-0001-6150-6959
  • Tetiana Mykolaivna Rychok Candidate of Sciences in Physical Education and Sport (Ph.D.), Associate Professor, Department of Kinesiology and Physical Education and Sports Rehabilitation, National University of Physical Education and Sport of Ukraine, 1 Fizkultury Street, Kyiv, 03150, Ukraine https://orcid.org/0000-0003-1280-7058

DOI:

https://doi.org/10.5281/zenodo.18118130

Keywords:

biomechanical metrics, kinesiological correction, corrective and preventive measures, motor function, motor learning, neuromuscular control, algorithmization

Abstract

The transformation of modern kinesiological science at the threshold of the first quarter of the 21st century is characterized by an intensive search for objectification tools that facilitate a transition from empirical approaches to precision diagnostics. In this context, the integration of biomechanical metrics into the system of corrective and preventive measures emerges as a pivotal developmental vector. This integration is considered a fundamental prerequisite for transitioning from descriptive analysis of motor function to its quantitatively grounded modeling. The relevance of this approach is dictated by the necessity of identifying not only overt motor deficits but also the underlying hierarchical structure and pathomechanisms of their formation. Specifically, the utilization of a structured classification of biomechanical indicators enables the development of targeted programs where measured data serve as the basis for specific corrective interventions. Within the modern kinesiological paradigm, movement is interpreted as a complex dynamic process in which the structural capacities of the musculoskeletal system are inextricably linked with neuromuscular control. Such determination necessitates a revision of the strategic objectives of restorative measures: the priority shifts from the mechanical elimination of symptoms to a fundamental restructuring of motor organization patterns. Objective. To reveal the methodological foundations of the transition from descriptive analysis of motor disorders to individualized modeling of corrective measures based on objective biomechanical criteria and evidence-based protocols of kinesiological correction. Methods. To reveal the methodological foundations of the transition from descriptive analysis of motor disorders to individualized modeling of corrective measures based on objective biomechanical criteria and evidence-based protocols of kinesiological correction. Results. The developmental trajectory of the modern kinesiological paradigm is defined by an imperative shift from descriptive assessment methods to individualized kinesiological modeling determined by objective biomechanical metrics. It is demonstrated that biomechanical parameters are transformed from tools of summative control into a predictive foundation for designing precision corrective and preventive programs. This approach enables the differentiation of pathomechanisms of motor deficits, ensuring the validation of evidence-based kinesiological practice. It has been established that the effectiveness of the corrective process is a derivative of adherence to a strict sequence of stages: from cognitive-stabilization through functional integration to the complete automation and extrapolation of new motor patterns. The elimination of any link within this algorithm significantly reduces the resilience of formed skills to destabilizing endogenous and exogenous factors. It is determined that the strategy of kinesiological modeling acts as a catalyst for structural and functional transformations within the central nervous system. Conclusions. The conceptual synergy between precision biomechanical diagnostics and algorithmized modeling allows for the completion of a full cycle of scientifically grounded health-promoting influence — from the verification of motor dysfunction to the development and validation of an individualized program. This fully correlates with the current requirements of international standards in kinesiology and rehabilitation.

Published

2025-12-29

How to Cite

Demiohin, D. Y., Krykun, Y. Y., & Rychok, T. M. (2025). Design methodology of targeted corrective and preventive programs: from biomechanical metrics to kinesiological modeling. Pedagogical Academy: Scientific Notes, (25). https://doi.org/10.5281/zenodo.18118130

Issue

Section

Physical education and sports